Markov processes is the class of stochastic processes whose past and future are conditionally independent, given their present state. They constitute important models in many applied fields.

After an introduction to the Monte Carlo method, this book describes discrete time Markov chains, the Poisson process and continuous time Markov chains. It also presents numerous applications including Markov Chain Monte Carlo, Simulated Annealing, Hidden Markov Models, Annotation and Alignment of Genomic sequences, Control and Filtering, Phylogenetic tree reconstruction and Queuing networks. The last chapter is an introduction to stochastic calculus and mathematical finance.

Features include:

• The Monte Carlo method, discrete time Markov chains, the Poisson process and continuous time jump Markov processes.
• An introduction to diffusion processes, mathematical finance and stochastic calculus.
• Applications of Markov processes to various fields, ranging from mathematical biology, to financial engineering and computer science.
• Numerous exercises and problems with solutions to most of them

This book provides a general introduction to Bayesian networks, defining and illustrating the basic concepts with pedagogical examples and twenty real-life case studies drawn from a range of fields including medicine, computing, natural sciences and engineering.

Designed to help analysts, engineers, scientists and professionals taking part in complex decision processes to successfully implement Bayesian networks, this book equips readers with proven methods to generate, calibrate, evaluate and validate Bayesian networks.

The book:

• Provides the tools to overcome common practical challenges such as the treatment of missing input data, interaction with experts and decision makers, determination of the optimal granularity and size of the model.

• Highlights the strengths of Bayesian networks whilst also presenting a discussion of their limitations.

• Compares Bayesian networks with other modelling techniques such as neural networks, fuzzy logic and fault trees.

• Describes, for ease of comparison, the main features of the major Bayesian network software packages: Netica, Hugin, Elvira and Discoverer, from the point of view of the user.

• Offers a historical perspective on the subject and analyses future directions for research.

Written by leading experts with practical experience of applying Bayesian networks in finance, banking, medicine, robotics, civil engineering, geology, geography, genetics, forensic science, ecology, and industry, the book has much to offer both practitioners and researchers involved in statistical analysis or modelling in any of these fields. ]]> http://www.ebooksabouteverything.com/ebooks/item/0470994541/--BAYESIAN-NETWORKS-(Adobe-Reader).html Sat, 07 Nov 2009 49:11:30 GMT http://www.ebooksabouteverything.com/ebooks/item/0470994541/--BAYESIAN-NETWORKS-(Adobe-Reader).html
Heavy-tailed distributions are typical for phenomena in complex multi-component systems such as biometry, economics, ecological systems, sociology, web access statistics, internet traffic, biblio-metrics, finance and business. The analysis of such distributions requires special methods of estimation due to their specific features. These are not only the slow decay to zero of the tail, but also the violation of Cramer's condition, possible non-existence of some moments, and sparse observations in the tail of the distribution.

The book focuses on the methods of statistical analysis of heavy-tailed independent identically distributed random variables by empirical samples of moderate sizes. It provides a detailed survey of classical results and recent developments in the theory of nonparametric estimation of the probability density function, the tail index, the hazard rate and the renewal function.

Both asymptotical results, for example convergence rates of the estimates, and results for the samples of moderate sizes supported by Monte-Carlo investigation, are considered. The text is illustrated by the application of the considered methodologies to real data of web traffic measurements. ]]> http://www.ebooksabouteverything.com/ebooks/item/0470723599/Markovich,-Natalia-NONPARAMETRIC-ANALYSIS-OF-UNIV-(Adobe-Reader).html Sat, 07 Nov 2009 49:11:30 GMT http://www.ebooksabouteverything.com/ebooks/item/0470723599/Markovich,-Natalia-NONPARAMETRIC-ANALYSIS-OF-UNIV-(Adobe-Reader).html
A user-friendly presentation of the essential concepts and tools for calculating real costs and profits in personal finance

Understanding the Mathematics of Personal Finance explains how mathematics, a simple calculator, and basic computer spreadsheets can be used to break down and understand even the most complex loan structures. In an easy-to-follow style, the book clearly explains the workings of basic financial calculations, captures the concepts behind loans and interest in a step-by-step manner, and details how these steps can be implemented for practical purposes. Rather than simply providing investment and borrowing strategies, the author successfully equips readers with the skills needed to make accurate and effective decisions in all aspects of personal finance ventures, including mortgages, annuities, life insurance, and credit card debt.

The book begins with a primer on mathematics, covering the basics of arithmetic operations and notations, and proceeds to explore the concepts of interest, simple interest, and compound interest. Subsequent chapters illustrate the application of these concepts to common types of personal finance exchanges, including:

• Loan amortization and savings

• Mortgages, reverse mortgages, and viatical settlements

• Prepayment penalties

• Credit cards

The book provides readers with the tools needed to calculate real costs and profits using various financial instruments. Mathematically inclined readers will enjoy the inclusion of mathematical derivations, but these sections are visually distinct from the text and can be skipped without the loss of content or complete understanding of the material. In addition, references to online calculators and instructions for building the calculations involved in a spreadsheet are provided. Furthermore, a related Web site features additional problem sets, the spreadsheet calculators that are referenced and used throughout the book, and links to various other financial calculators.

Understanding the Mathematics of Personal Finance is an excellent book for finance courses at the undergraduate level. It is also an essential reference for individuals who are interested in learning how to make effective financial decisions in their everyday lives. ]]> http://www.ebooksabouteverything.com/ebooks/item/0470538384/Dworsky,-Lawrence-N.-Understanding-the-Mathematics-of-Personal-Finance:-An-Introduction-to-Financial-Literacy-(Adobe-Reader).html Sat, 07 Nov 2009 49:11:30 GMT http://www.ebooksabouteverything.com/ebooks/item/0470538384/Dworsky,-Lawrence-N.-Understanding-the-Mathematics-of-Personal-Finance:-An-Introduction-to-Financial-Literacy-(Adobe-Reader).html
The emergence of genomics, the study of genes, is one of the major scientific revolutions of this century. Microarrays, a method used to analyze numerous DNA samples rapidly, enables scientists to make sense of this mountain of data using statistical analysis. They are being used in such areas of biomedical research as studying patterns for gene activity that cause cancers to spread. This book presents a comprehensive methodology for analyzing DNA microarray and protein array data.
The most comprehensive treatment of this important emerging field, Exploration and Analysis of DNA Microarray and Protein Array Data includes:
A review of basic molecular biology and a chapter introducing microarrays and their preparation
Chapters on processing scanned images, preprocessing microarray data, group comparative experiments, and other designs
Discussions of clustering, protein arrays, and applications for diagnostic tools
Ample exercises assist absorbtion ]]> http://www.ebooksabouteverything.com/ebooks/item/0470317965/--Exploration-and-Analysis-of-DNA-Microarray-and-Protein-Array-Data-(Wiley-Series-in-Probability-and-Statistics-#605)-(Adobe-Reader).html Sat, 07 Nov 2009 49:11:30 GMT http://www.ebooksabouteverything.com/ebooks/item/0470317965/--Exploration-and-Analysis-of-DNA-Microarray-and-Protein-Array-Data-(Wiley-Series-in-Probability-and-Statistics-#605)-(Adobe-Reader).html
An accessible, clearly organized survey of the basic topics of measure theory for students and researchers in mathematics, statistics, and physics
In order to fully understand and appreciate advanced probability, analysis, and advanced mathematical statistics, a rudimentary knowledge of measure theory and like subjects must first be obtained. The Theory of Measures and Integration illuminates the fundamental ideas of the subject-fascinating in their own right-for both students and researchers, providing a useful theoretical background as well as a solid foundation for further inquiry.
Eric Vestrup's patient and measured text presents the major results of classical measure and integration theory in a clear and rigorous fashion. Besides offering the mainstream fare, the author also offers detailed discussions of extensions, the structure of Borel and Lebesgue sets, set-theoretic considerations, the Riesz representation theorem, and the Hardy-Littlewood theorem, among other topics, employing a clear presentation style that is both evenly paced and user-friendly. Chapters include:
* Measurable Functions
* The Lp Spaces
* The Radon-Nikodym Theorem
* Products of Two Measure Spaces
* Arbitrary Products of Measure Spaces
Sections conclude with exercises that range in difficulty between easy "finger exercises"and substantial and independent points of interest. These more difficult exercises are accompanied by detailed hints and outlines. They demonstrate optional side paths in the subject as well as alternative ways of presenting the mainstream topics.
In writing his proofs and notation, Vestrup targets the person who wants all of the details shown up front. Ideal for graduate students in mathematics, statistics, and physics, as well as strong undergraduates in these disciplines and practicing researchers, The Theory of Measures and Integration proves both an able primary text for a real analysis sequence with a focus on measure theory and a helpful background text for advanced courses in probability and statistics. ]]> http://www.ebooksabouteverything.com/ebooks/item/0470317957/Vestrup,-Eric-M.-The-Theory-of-Measures-and-Integration-(Wiley-Series-in-Probability-and-Statistics-#591)-(Adobe-Reader).html Sat, 07 Nov 2009 49:11:30 GMT http://www.ebooksabouteverything.com/ebooks/item/0470317957/Vestrup,-Eric-M.-The-Theory-of-Measures-and-Integration-(Wiley-Series-in-Probability-and-Statistics-#591)-(Adobe-Reader).html
* Considers neoclassical models in light of results that can go wrong with them to bring about better models.
* Questions the assumption that markets clear quickly.
* Offers a timely examination of the LTCM collapse.
* Written by a group of well-respected and highly qualified authors. ]]> http://www.ebooksabouteverything.com/ebooks/item/0470317930/--Models-for-Investors-in-Real-World-Markets-(Wiley-Series-in-Probability-and-Statistics-#581)-(Adobe-Reader).html Sat, 07 Nov 2009 49:11:30 GMT http://www.ebooksabouteverything.com/ebooks/item/0470317930/--Models-for-Investors-in-Real-World-Markets-(Wiley-Series-in-Probability-and-Statistics-#581)-(Adobe-Reader).html
* Shorter, more concise chapters provide flexible coverage of the subject.
* Expanded coverage includes: uncertainty and randomness, prior distributions, predictivism, estimation, analysis of variance, and classification and imaging.
* Includes topics not covered in other books, such as the de Finetti Transform.
* Author S. James Press is the modern guru of Bayesian statistics. ]]> http://www.ebooksabouteverything.com/ebooks/item/0470317949/Press,-S.-James-Subjective-and-Objective-Bayesian-Statistics:-Principles,-Models,-and-Applications-(Wiley-Series-in-Probability-and-Statistics-#590)-(Adobe-Reader).html Sat, 07 Nov 2009 49:11:30 GMT http://www.ebooksabouteverything.com/ebooks/item/0470317949/Press,-S.-James-Subjective-and-Objective-Bayesian-Statistics:-Principles,-Models,-and-Applications-(Wiley-Series-in-Probability-and-Statistics-#590)-(Adobe-Reader).html
A unique, integrated treatment of computer modeling and simulation "The future of science belongs to those willing to make the shift to simulation-based modeling," predicts Rice Professor James Thompson, a leading modeler and computational statistician widely known for his original ideas and engaging style. He discusses methods, available to anyone with a fast desktop computer, for integrating simulation into the modeling process in order to create meaningful models of real phenomena. Drawing from a wealth of experience, he gives examples from trading markets, oncology, epidemiology, statistical process control, physics, public policy, combat, real-world optimization, Bayesian analyses, and population dynamics. Dr. Thompson believes that, so far from liberating us from the necessity of modeling, the fast computer enables us to engage in realistic models of processes in , for example, economics, which have not been possible earlier because simple stochastic models in the forward temporal direction generally become quite unmanageably complex when one is looking for such things as likelihoods. Thompson shows how simulation may be used to bypass the necessity of obtaining likelihood functions or moment-generating functions as a precursor to parameter estimation. Simulation: A Modeler's Approach is a provocative and practical guide for professionals in applied statistics as well as engineers, scientists, computer scientists, financial analysts, and anyone with an interest in the synergy between data, models, and the digital computer. ]]> http://www.ebooksabouteverything.com/ebooks/item/0470317906/Thompson,-James-R.-Simulation:-A-Modeler's-Approach-(Wiley-Series-in-Probability-and-Statistics-#522)-(Adobe-Reader).html Sat, 07 Nov 2009 49:11:30 GMT http://www.ebooksabouteverything.com/ebooks/item/0470317906/Thompson,-James-R.-Simulation:-A-Modeler's-Approach-(Wiley-Series-in-Probability-and-Statistics-#522)-(Adobe-Reader).html
Mathematics of Chance utilizes simple, real-world problems-some of which have only recently been solved-to explain fundamental probability theorems, methods, and statistical reasoning. Jiri Andel begins with a basic introduction to probability theory and its important points before moving on to more specific sections on vital aspects of probability, using both classic and modern problems.
Each chapter begins with easy, realistic examples before covering the general formulations and mathematical treatments used. The reader will find ample use for a chapter devoted to matrix games and problem sets concerning waiting, probability calculations, expectation calculations, and statistical methods. A special chapter utilizes problems that relate to areas of mathematics outside of statistics and considers certain mathematical concepts from a probabilistic point of view. Sections and problems cover topics including:
* Random walks
* Principle of reflection
* Probabilistic aspects of records
* Geometric distribution
* Optimization
* The LAD method, and more
Knowledge of the basic elements of calculus will be sufficient in understanding most of the material presented here, and little knowledge of pure statistics is required. Jiri Andel has produced a compact reference for applied statisticians working in industry and the social and technical sciences, and a book that suits the needs of students seeking a fundamental understanding of probability theory. ]]> http://www.ebooksabouteverything.com/ebooks/item/0470317914/Andel,-Jiríiacute;-Mathematics-of-Chance-(Wiley-Series-in-Probability-and-Statistics-#538)-(Adobe-Reader).html Sat, 07 Nov 2009 49:11:30 GMT http://www.ebooksabouteverything.com/ebooks/item/0470317914/Andel,-Jiríiacute;-Mathematics-of-Chance-(Wiley-Series-in-Probability-and-Statistics-#538)-(Adobe-Reader).html
Comprehensive coverage of classical and modern methods of biostatistics

Biostatistical Methods focuses on the assessment of risks and relative risks on the basis of clinical investigations. It develops basic concepts and derives biostatistical methods through both the application of classical mathematical statistical tools and more modern likelihood-based theories.

The first half of the book presents methods for the analysis of single and multiple 2x2 tables for cross-sectional, prospective, and retrospective (case-control) sampling, with and without matching using fixed and two-stage random effects models. The text then moves on to present a more modern likelihood- or model-based approach, which includes unconditional and conditional logistic regression; the analysis of count data and the Poisson regression model; and the analysis of event time data, including the proportional hazards and multiplicative intensity models. The book contains a technical appendix that presents the core mathematical statistical theory used for the development of classical and modern statistical methods. Biostatistical Methods: The Assessment of Relative Risks:
* Presents modern biostatistical methods that are generalizations of the classical methods discussed
* Emphasizes derivations, not just cookbook methods
* Provides copious reference citations for further reading
* Includes extensive problem sets
* Employs case studies to illustrate application of methods
* Illustrates all methods using the Statistical Analysis System(r) (SAS)

Supplemented with numerous graphs, charts, and tables as well as a Web site for larger data sets and exercises, Biostatistical Methods: The Assessment of Relative Risks is an excellent guide for graduate-level students in biostatistics and an invaluable reference for biostatisticians, applied statisticians, and epidemiologists. ]]> http://www.ebooksabouteverything.com/ebooks/item/0470317892/Lachin,-John-M.-Biostatistical-Methods:-The-Assessment-of-Relative-Risks-(Wiley-Series-in-Probability-and-Statistics-#509)-(Adobe-Reader).html Sat, 07 Nov 2009 49:11:30 GMT http://www.ebooksabouteverything.com/ebooks/item/0470317892/Lachin,-John-M.-Biostatistical-Methods:-The-Assessment-of-Relative-Risks-(Wiley-Series-in-Probability-and-Statistics-#509)-(Adobe-Reader).html
The analysis of variance is presented as an exploratory component of data analysis, while retaining the customary least squares fitting methods. Balanced data layouts are used to reveal key ideas and techniques for exploration. The approach emphasizes both the individual observations and the separate parts that the analysis produces. Most chapters include exercises and the appendices give selected percentage points of the Gaussian, t, F chi-squared and studentized range distributions. ]]> http://www.ebooksabouteverything.com/ebooks/item/0470317663/--Fundamentals-of-Exploratory-Analysis-of-Variance-(Wiley-Series-in-Probability-and-Statistics-#367)-(Adobe-Reader).html Sat, 07 Nov 2009 49:11:30 GMT http://www.ebooksabouteverything.com/ebooks/item/0470317663/--Fundamentals-of-Exploratory-Analysis-of-Variance-(Wiley-Series-in-Probability-and-Statistics-#367)-(Adobe-Reader).html
Written to convey an intuitive feel for both theory and practice, its main objective is to illustrate what a powerful tool density estimation can be when used not only with univariate and bivariate data but also in the higher dimensions of trivariate and quadrivariate information. Major concepts are presented in the context of a histogram in order to simplify the treatment of advanced estimators. Features 12 four-color plates, numerous graphic illustrations as well as a multitude of problems and solutions. ]]> http://www.ebooksabouteverything.com/ebooks/item/047031768X/Scott,-David-W.-Multivariate-Density-Estimation:-Theory,-Practice,-and-Visualization-(Wiley-Series-in-Probability-and-Statistics-#383)-(Adobe-Reader).html Sat, 07 Nov 2009 49:11:30 GMT http://www.ebooksabouteverything.com/ebooks/item/047031768X/Scott,-David-W.-Multivariate-Density-Estimation:-Theory,-Practice,-and-Visualization-(Wiley-Series-in-Probability-and-Statistics-#383)-(Adobe-Reader).html
WILEY-INTERSCIENCE PAPERBACK SERIES

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.

". . .Variance Components is an excellent book. It is organized and well written, and provides many references to a variety of topics. I recommend it to anyone with interest in linear models."
-Journal of the American Statistical Association

"This book provides a broad coverage of methods for estimating variance components which appeal to students and research workers . . . The authors make an outstanding contribution to teaching and research in the field of variance component estimation."
-Mathematical Reviews

"The authors have done an excellent job in collecting materials on a broad range of topics. Readers will indeed gain from using this book . . . I must say that the authors have done a commendable job in their scholarly presentation."
-Technometrics

This book focuses on summarizing the variability of statistical data known as the analysis of variance table. Penned in a readable style, it provides an up-to-date treatment of research in the area. The book begins with the history of analysis of variance and continues with discussions of balanced data, analysis of variance for unbalanced data, predictions of random variables, hierarchical models and Bayesian estimation, binary and discrete data, and the dispersion mean model. ]]> http://www.ebooksabouteverything.com/ebooks/item/0470317698/--Variance-Components-(Wiley-Series-in-Probability-and-Statistics-#391)-(Adobe-Reader).html Sat, 07 Nov 2009 49:11:30 GMT http://www.ebooksabouteverything.com/ebooks/item/0470317698/--Variance-Components-(Wiley-Series-in-Probability-and-Statistics-#391)-(Adobe-Reader).html
Written for the professional statistician or graduate statistics student, the primary objective of this book is to describe a system, based on the LISP language, for statistical computing and dynamic graphics to show how it can be used as an effective platform for a wide range of statistical computing tasks ranging from basic calculations to customizing dynamic graphs. In addition, it introduces object-oriented programming and graphics programming in a statistical context. The discussion of these ideas is based on the Lisp-Stat system; readers with access to such a system can reproduce the examples presented and use them as a basis for further experimentation and study. ]]> http://www.ebooksabouteverything.com/ebooks/item/0470317566/Tierney,-Luke-LISP-STAT:-An-Object-Oriented-Environment-for-Statistical-Computing-and-Dynamic-Graphics-(Wiley-Series-in-Probability-and-Statistics-#353)-(Adobe-Read.html Sat, 07 Nov 2009 49:11:30 GMT http://www.ebooksabouteverything.com/ebooks/item/0470317566/Tierney,-Luke-LISP-STAT:-An-Object-Oriented-Environment-for-Statistical-Computing-and-Dynamic-Graphics-(Wiley-Series-in-Probability-and-Statistics-#353)-(Adobe-Read.html
An introduction to the practical application of cluster analysis, Finding Groups in Data presents a selection of methods that together can deal with most applications. These methods are chosen for their robustness, consistency, and general applicability. The text discusses the main approaches to clustering and provides guidance in choosing between the available methods. It also discusses various types of data, including interval-scaled and binary variables as well as similarity data and explains how these can be transformed prior to clustering. With numerous exercises to aid learning, Finding Groups in Data provides an invaluable introduction to cluster analysis with an emphasis on methods that are both easy to use and modern. ]]> http://www.ebooksabouteverything.com/ebooks/item/0470317485/--Finding-Groups-in-Data:-An-Introduction-to-Cluster-Analysis-(Wiley-Series-in-Probability-and-Statistics-#344)-(Adobe-Reader).html Sat, 07 Nov 2009 49:11:30 GMT http://www.ebooksabouteverything.com/ebooks/item/0470317485/--Finding-Groups-in-Data:-An-Introduction-to-Cluster-Analysis-(Wiley-Series-in-Probability-and-Statistics-#344)-(Adobe-Reader).html
A comprehensive, step-by-step introduction to wavelets in statistics.

What are wavelets? What makes them increasingly indispensable in statistical nonparametrics? Why are they suitable for "time-scale" applications? How are they used to solve such problems as denoising, regression, or density estimation? Where can one find up-to-date information on these newly "discovered" mathematical objects? These are some of the questions Brani Vidakovic answers in Statistical Modeling by Wavelets. Providing a much-needed introduction to the latest tools afforded statisticians by wavelet theory, Vidakovic compiles, organizes, and explains in depth research data previously available only in disparate journal articles. He carefully balances both statistical and mathematical techniques, supplementing the material with a wealth of examples, more than 100 illustrations, and extensive references-with data sets and S-Plus wavelet overviews made available for downloading over the Internet. Both introductory and data-oriented modeling topics are featured, including:
* Continuous and discrete wavelet transformations.
* Statistical optimality properties of wavelet shrinkage.
* Theoretical aspects of wavelet density estimation.
* Bayesian modeling in the wavelet domain.
* Properties of wavelet-based random functions and densities.
* Several novel and important wavelet applications in statistics.
* Wavelet methods in time series.

Accessible to anyone with a background in advanced calculus and algebra, Statistical Modeling by Wavelets promises to become the standard reference for statisticians and engineers seeking a comprehensive introduction to an emerging field. ]]> http://www.ebooksabouteverything.com/ebooks/item/0470317868/Vidakovic,-Brani-Statistical-Modeling-by-Wavelets-(Wiley-Series-in-Probability-and-Statistics-#503)-(Adobe-Reader).html Sat, 07 Nov 2009 49:11:30 GMT http://www.ebooksabouteverything.com/ebooks/item/0470317868/Vidakovic,-Brani-Statistical-Modeling-by-Wavelets-(Wiley-Series-in-Probability-and-Statistics-#503)-(Adobe-Reader).html
A novel, practical approach to modeling spatial uncertainty.

This book deals with statistical models used to describe natural variables distributed in space or in time and space. It takes a practical, unified approach to geostatistics-integrating statistical data with physical equations and geological concepts while stressing the importance of an objective description based on empirical evidence. This unique approach facilitates realistic modeling that accounts for the complexity of natural phenomena and helps solve economic and development problems-in mining, oil exploration, environmental engineering, and other real-world situations involving spatial uncertainty.

Up-to-date, comprehensive, and well-written, Geostatistics: Modeling Spatial Uncertainty explains both theory and applications, covers many useful topics, and offers a wealth of new insights for nonstatisticians and seasoned professionals alike. This volume:
* Reviews the most up-to-date geostatistical methods and the types of problems they address.
* Emphasizes the statistical methodologies employed in spatial estimation.
* Presents simulation techniques and digital models of uncertainty.
* Features more than 150 figures and many concrete examples throughout the text.
* Includes extensive footnoting as well as a thorough bibliography.

Geostatistics: Modeling Spatial Uncertainty is the only geostatistical book to address a broad audience in both industry and academia. An invaluable resource for geostatisticians, physicists, mining engineers, and earth science professionals such as petroleum geologists, geophysicists, and hydrogeologists, it is also an excellent supplementary text for graduate-level courses in related subjects. ]]> http://www.ebooksabouteverything.com/ebooks/item/0470317833/--Geostatistics:-Modeling-Spatial-Uncertainty-(Wiley-Series-in-Probability-and-Statistics-#497)-(Adobe-Reader).html Sat, 07 Nov 2009 49:11:30 GMT http://www.ebooksabouteverything.com/ebooks/item/0470317833/--Geostatistics:-Modeling-Spatial-Uncertainty-(Wiley-Series-in-Probability-and-Statistics-#497)-(Adobe-Reader).html
A step-by-step guide to computing and graphics in regression analysis

In this unique book, leading statisticians Dennis Cook and Sanford Weisberg expertly blend regression fundamentals and cutting-edge graphical techniques. They combine and up- date most of the material from their widely used earlier work, An Introduction to Regression Graphics, and Weisberg's Applied Linear Regression; incorporate the latest in statistical graphics, computing, and regression models; and wind up with a modern, fully integrated approach to one of the most important tools of data analysis.

In 23 concise, easy-to-digest chapters, the authors present:? A wealth of simple 2D and 3D graphical techniques, helping visualize results through graphs
* An improved version of the user-friendly Arc software, which lets readers promptly implement new ideas
* Complete coverage of regression models, including logistic regression and generalized linear models
* More than 300 figures, easily reproducible on the computer
* Numerous examples and problems based on real data
* A companion Web site featuring free software and advice, available at www.wiley.com/mathem atics

Accessible, self-contained, and fully referenced, Applied Regression Including Computing and Graphics assumes only a first course in basic statistical methods and provides a bona fide user manual for the Arc software. It is an invaluable resource for anyone interested in learning how to analyze regression problems with confidence and depth. ]]> http://www.ebooksabouteverything.com/ebooks/item/0470317787/--Applied-Regression-Including-Computing-and-Graphics-(Wiley-Series-in-Probability-and-Statistics-#488)-(Adobe-Reader).html Sat, 07 Nov 2009 49:11:30 GMT http://www.ebooksabouteverything.com/ebooks/item/0470317787/--Applied-Regression-Including-Computing-and-Graphics-(Wiley-Series-in-Probability-and-Statistics-#488)-(Adobe-Reader).html
A new look at weak-convergence methods in metric spaces-from a master of probability theory In this new edition, Patrick Billingsley updates his classic work Convergence of Probability Measures to reflect developments of the past thirty years. Widely known for his straightforward approach and reader-friendly style, Dr. Billingsley presents a clear, precise, up-to-date account of probability limit theory in metric spaces. He incorporates many examples and applications that illustrate the power and utility of this theory in a range of disciplines-from analysis and number theory to statistics, engineering, economics, and population biology. With an emphasis on the simplicity of the mathematics and smooth transitions between topics, the Second Edition boasts major revisions of the sections on dependent random variables as well as new sections on relative measure, on lacunary trigonometric series, and on the Poisson-Dirichlet distribution as a description of the long cycles in permutations and the large divisors of integers. Assuming only standard measure-theoretic probability and metric-space topology, Convergence of Probability Measures provides statisticians and mathematicians with basic tools of probability theory as well as a springboard to the "industrial-strength" literature available today. ]]> http://www.ebooksabouteverything.com/ebooks/item/0470317809/Billingsley,-Patrick-Convergence-of-Probability-Measures-(Wiley-Series-in-Probability-and-Statistics-#493)-(Adobe-Reader).html Sat, 07 Nov 2009 49:11:30 GMT http://www.ebooksabouteverything.com/ebooks/item/0470317809/Billingsley,-Patrick-Convergence-of-Probability-Measures-(Wiley-Series-in-Probability-and-Statistics-#493)-(Adobe-Reader).html
A one-stop reference to fractional factorials and related orthogonal arrays.

Presenting one of the most dynamic areas of statistical research, this book offers a systematic, rigorous, and up-to-date treatment of fractional factorial designs and related combinatorial mathematics. Leading statisticians Aloke Dey and Rahul Mukerjee consolidate vast amounts of material from the professional literature--expertly weaving fractional replication, orthogonal arrays, and optimality aspects. They develop the basic theory of fractional factorials using the calculus of factorial arrangements, thereby providing a unified approach to the study of fractional factorial plans. An indispensable guide for statisticians in research and industry as well as for graduate students, Fractional Factorial Plans features:
* Construction procedures of symmetric and asymmetric orthogonal arrays.
* Many up-to-date research results on nonexistence.
* A chapter on optimal fractional factorials not based on orthogonal arrays.
* Trend-free plans, minimum aberration plans, and search and supersaturated designs.
* Numerous examples and extensive references. ]]> http://www.ebooksabouteverything.com/ebooks/item/0470317825/--Fractional-Factorial-Plans-(Wiley-Series-in-Probability-and-Statistics-#496)-(Adobe-Reader).html Sat, 07 Nov 2009 49:11:30 GMT http://www.ebooksabouteverything.com/ebooks/item/0470317825/--Fractional-Factorial-Plans-(Wiley-Series-in-Probability-and-Statistics-#496)-(Adobe-Reader).html
The subject of time series is of considerable interest, especially among researchers in econometrics, engineering, and the natural sciences. As part of the prestigious Wiley Series in Probability and Statistics, this book provides a lucid introduction to the field and, in this new Second Edition, covers the important advances of recent years, including nonstationary models, nonlinear estimation, multivariate models, state space representations, and empirical model identification. New sections have also been added on the Wold decomposition, partial autocorrelation, long memory processes, and the Kalman filter.

Major topics include:
* Moving average and autoregressive processes
* Introduction to Fourier analysis
* Spectral theory and filtering
* Large sample theory
* Estimation of the mean and autocorrelations
* Estimation of the spectrum
* Parameter estimation
* Regression, trend, and seasonality
* Unit root and explosive time series


To accommodate a wide variety of readers, review material, especially on elementary results in Fourier analysis, large sample statistics, and difference equations, has been included. ]]> http://www.ebooksabouteverything.com/ebooks/item/0470317752/Fuller,-Wayne-A.-Introduction-to-Statistical-Time-Series-(Wiley-Series-in-Probability-and-Statistics-#428)-(Adobe-Reader).html Sat, 07 Nov 2009 49:11:30 GMT http://www.ebooksabouteverything.com/ebooks/item/0470317752/Fuller,-Wayne-A.-Introduction-to-Statistical-Time-Series-(Wiley-Series-in-Probability-and-Statistics-#428)-(Adobe-Reader).html
Linear Statistical Models

Developed and refined over a period of twenty years, the material in this book offers an especially lucid presentation of linear statistical models. These models lead to what is usually called "multiple regression" or "analysis of variance" methodology, which, in turn, opens up a wide range of applications to the physical, biological, and social sciences, as well as to business, agriculture, and engineering. Unlike similar books on this topic, Linear Statistical Models emphasizes the geometry of vector spaces because of the intuitive insights this approach brings to an understanding of the theory. While the focus is on theory, examples of applications, using the SAS and S-Plus packages, are included. Prerequisites include some familiarity with linear algebra, and probability and statistics at the postcalculus level.

Major topics covered include:
* Methods of study of random vectors, including the multivariate normal, chi-square, t and F distributions, central and noncentral
* The linear model and the basic theory of regression analysis and the analysis of variance
* Multiple regression methods, including transformations, analysis of residuals, and asymptotic theory for regression analysis. Separate sections are devoted to robust methods and to the bootstrap.
* Simultaneous confidence intervals: Bonferroni, Scheffe, Tukey, and Bechhofer
* Analysis of variance, with two- and three-way analysis of variance
* Random component models, nested designs, and balanced incomplete block designs
* Analysis of frequency data through log-linear models, with emphasis on vector space viewpoint. This chapter alone is sufficient for a course on the analysis of frequency data. ]]> http://www.ebooksabouteverything.com/ebooks/item/0470317760/Stapleton,-James-H.-Linear-Statistical-Models-(Wiley-Series-in-Probability-and-Statistics-#429)-(Adobe-Reader).html Sat, 07 Nov 2009 49:11:30 GMT http://www.ebooksabouteverything.com/ebooks/item/0470317760/Stapleton,-James-H.-Linear-Statistical-Models-(Wiley-Series-in-Probability-and-Statistics-#429)-(Adobe-Reader).html