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| Probability & Statistics - General |
This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods.... This clear exposition begins with basic concepts and moves on to combination of events, dependent events and random variables, Bernoulli...
Silver built an innovative system for predicting baseball performance, predicted the 2008 election within a hair's breadth, and became a... Noted for its non-mathematical, applied, and data-analytic approach, this classic text on multiple regression provides clear illustrations...
This treatment of geometric integration theory consists of an introduction to classical theory, a postulational approach to general theory,... Rigorous exposition suitable for elementary instruction. Covers measure theory, axiomatization of probability theory, processes with...
This book provides an easily accessible, computationally-oriented introduction into the numerical solution of stochastic differential... This book gives an introduction to the basic theory of stochastic calculus and its applications. Examples are given throughout the text, in...
In the first book that directly uses R to teach data analysis, Linear Models with R focuses on the practice of regression and analysis of... Fully updated, the fourth edition of this highly acclaimed and perpetually bestselling text demonstrates how a wide variety of statistical...
A professor of animal science at the University of Tennessee, Knoxville, has assembled 16 coauthors from around the world to create this... The focus in this Second Edition is again on logistic regression models for individual level data, but aggregate or grouped data are also...
This book describes applied geostatistical methods at an introductory level. It is an easy-to-read book, aimed at undergraduates and... Offers a comprehensive introduction to distance sampling, a statistical method used by many biologists and conservationists to estimate...
This book gives an introduction to probability and its many practical application by providing a thorough, entertaining account of basic... A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available...
This book is the first to offer a systematic presentation of the Bayesian perspective of finite mixture modeling, showing how finite mixture... Discover everything you need to succeed in business statistics class. MANAGERIAL STATISTICS: A CASE-BASED APPROACH walks you through the...
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