Probability and statistics

An in-depth look at the intersection of judgment and statistics in baseballScouting and scoring are considered fundamentally different ways of ascertaining value in baseball.

A complete introduction to discriminant analysis--extensively revised, expanded, and updated This Second Edition of the classic book, Applied Discriminant Analysis, reflects and references current usage with its new title, Applied MANOVA and Discriminant Analysis.

An effective technique for data analysis in the social sciences The recent explosion in longitudinal data in the social sciences highlights the need for this timely publication.

A mathematical and intuitive approach to probability, statistics, and stochastic processes This textbook provides a unique, balanced approach to probability, statistics, and stochastic processes.

Learn statistical methods quickly and easily with the discovery method With its emphasis on the discovery method, this publication encourages readers to discover solutions on their own rather than simply copy answers or apply a formula by rote.

An easy-to-grasp introduction to nonparametric regression This book's straightforward, step-by-step approach provides an excellent introduction to the field for novices of nonparametric regression.

The Wiley Classics Library consists of selected books that have become recognized classics in their respective fields.

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.

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.

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.

The first systematic, book-length treatment of the subject.

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.

The Wiley Classics Library consists of selected books that have become recognized classics in their respective fields.

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.

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.

Designed as an introduction to statistical distribution theory.

The development and introduction of new experimental designs in the last fifty years has been quite staggering, brought about largely by an ever-widening field of applications.

A unique introduction to the innovative methodology of statistical flowgraphs This book offers a practical, application-based approach to flowgraph models for time-to-event data.

An up-to-date, comprehensive account of major issues in finite mixture modeling This volume provides an up-to-date account of the theory and applications of modeling via finite mixture distributions.

This volume provides an up-to-date coverage of the theory and applications of ordered random variables and their functions.

The leading reference on probabilistic methods in combinatorics-now expanded and updated When it was first published in 1991, The Probabilistic Method became instantly the standard reference on one of the most powerful and widely used tools in combinatorics.

A valuable guide to conducting experiments and analyzing data across a wide range of applications Experimental design is an important component of the scientific method.

At last a social scientist's guide through the pitfalls of modern statistical computing Addressing the current deficiency in the literature on statistical methods as they apply to the social and behavioral sciences, Numerical Issues in Statistical Computing for the Social Scientist seeks to provide readers with a unique practical guidebook to the numerical methods underlying computerized statistical calculations specific to these fields.

Master the essential statistical skills used in social and behavioral sciences Essentials of Statistics for the Social and Behavioral Sciences distills the overwhelming amount of material covered in introductory statistics courses into a handy, practical resource for students and professionals.

A guide to achieving business successes through statistical methods Statistical methods are a key ingredient in providing data-based guidance to research and development as well as to manufacturing.

Expert coverage of the design and implementation of state estimation algorithms for tracking and navigation Estimation with Applications to Tracking and Navigation treats the estimation of various quantities from inherently inaccurate remote observations.

Praise for the Second Edition "e;Statistics for Research has other fine qualities besides superior organization.

Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue.

Provides a foundation for probability based on game theory rather than measure theory.

A thorough review of the most current regression methods in time series analysis Regression methods have been an integral part of time series analysis for over a century.

Elements of Financial Time Series fills a gap in the market in the area of financial time series analysis by giving both conceptual and practical illustrations.

An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applicationsSecond edition now also available in Paperback.

Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue.

Peruse the history of survey research and the essential conceptsfor data quality.

Accessible to medicine- and/or public policy-related audiences, as well as most statisticians.

* Includes a new chapter on logistic regression.

Emphasizes the strategy of experimentation, data analysis, and the interpretation of experimental results.

This book covers all the latest advances, as well as more established methods, in the application of statistical and optimisation methods within modern industry.

Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence acts as a source of basic methods for scientists wanting to combine evidence from different experiments.

Cluster analysis comprises a range of methods for classifying multivariate data into subgroups.

A thorough introduction to the fundamentals of probability theory This book offers a detailed explanation of the basic models and mathematical principles used in applying probability theory to practical problems.

A thorough introduction to the fundamentals of probability theory This book offers a detailed explanation of the basic models and mathematical principles used in applying probability theory to practical problems.

In the spatial or spatio-temporal context, specifying the correct covariance function is fundamental to obtain efficient predictions, and to understand the underlying physical process of interest.

Cluster analysis comprises a range of methods for classifying multivariate data into subgroups.

A guide to the validation and risk management of quantitative models used for pricing and hedging Whereas the majority of quantitative finance books focus on mathematics and risk management books focus on regulatory aspects, this book addresses the elements missed by this literature--the risks of the models themselves.

Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area.

Few books on statistical data analysis in the natural sciences are written at a level that a non-statistician will easily understand.

Bayesian Networks, the result of the convergence of artificial intelligence with statistics, are growing in popularity.

Throughout the social, medical and other sciences the importance of understanding complex hierarchical data structures is well understood.

In the spatial or spatio-temporal context, specifying the correct covariance function is fundamental to obtain efficient predictions, and to understand the underlying physical process of interest.