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An Introduction to Stochastic Modeling, Student Solutions Manual (e-only)

by Mark Pinsky

An Introduction to Stochastic Modeling, Student Solutions Manual (e-only)


Statistical Inference for Models with Multivariate t-Distributed Errors

by A. K. Md. Ehsanes Saleh, Mohammad Arashi & S M M Tabatabaey

This book summarizes the results of various models under normal theory with a brief review of the literature. Statistical Inference for Models with Multivariate t-Distributed Errors:

  • Includes a wide array of...


Statistical Analysis with Missing Data

by Roderick J. A. Little & Donald B. Rubin

Praise for the First Edition of Statistical Analysis with Missing Data

"An important contribution to the applied statistics literature.... I give the book high marks for unifying and making accessible much of...


Introduction to Probability Models

by Sheldon M. Ross

Introduction to Probability Models, Tenth Edition, provides an introduction to elementary probability theory and stochastic processes. There are two approaches to the study of probability theory. One is heuristic...


Statistical Methods of Analysis

by Chin Long Chiang

This textbook systematically presents fundamental methods of statistical analysis: from probability and statistical distributions, through basic concepts of statistical inference, to a collection of methods...


Understanding Uncertainty

by Dennis V. Lindley

Praise for the First Edition

"...a reference for everyone who is interested in knowing and handling uncertainty."

Journal of Applied Statistics

The critically acclaimed First Edition of Understanding Uncertainty...


Nonparametric Statistical Methods

by Myles Hollander, Douglas A. Wolfe & Eric Chicken

Praise for the Second Edition

“This book should be an essential part of the personal library of every practicing statistician.”Technometrics

 

Thoroughly revised and updated, the new edition of Nonparametric...


Think Bayes

by Allen B. Downey

If you know how to program with Python and also know a little about probability, you’re ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code...


An Introduction to Stochastic Modeling, Student Solutions Manual (e-only)

by Mark Pinsky & Samuel Karlin

An Introduction to Stochastic Modeling, Student Solutions Manual (e-only)


Introduction to Bayesian Statistics

by William M. Bolstad

Praise for the First Edition

"I cannot think of a better book for teachers of introductory statistics who want a readable and pedagogically sound text to introduce Bayesian statistics."

Statistics in Medical...


Bayesian Estimation and Tracking: A Practical Guide

by Anton J. J. Haug

A practical approach to estimating and tracking dynamic systems in real-worl applications

Much of the literature on performing estimation for non-Gaussian systems is short on practical methodology, while Gaussian...


Practical Business Statistics

by Andrew Siegel

Practical Business Statistics, Sixth Edition, is a conceptual, realistic, and matter-of-fact approach to managerial statistics that carefully maintains-but does not overemphasize-mathematical correctness. The...


Bayesian Modeling Using Winbugs

by Ioannis Ntzoufras

A hands-on introduction to the principles of Bayesian modeling using WinBUGS

Bayesian Modeling Using WinBUGS provides an easily accessible introduction to the use of WinBUGS programming techniques in a variety...