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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...


Introduction to Probability Models

by Sheldon M. Ross

Sheldon Ross's classic bestseller, Introduction to Probability Models, has been used extensively by professionals and as the primary text for a first undergraduate course in applied probability. It introduces...


Science and Method

by Henri Poincaré

Classic account of basic methodology and psychology of scientific discovery explains how scientists analyze and choose their working facts and explores the nature of experimentation, theory, and the mind. 1914...


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)


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...


Evidence Synthesis for Decision Making in Healthcare

by Nicky J. Welton, Alexander J. Sutton, Nicola Cooper & Keith R. Abrams et al.

In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish interventions that are both effective and cost-effective. Usually a single study will not fully address...


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...


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...


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...


Probability, Statistics, and Stochastic Processes

by Peter Olofsson & Mikael Andersson

Praise for the First Edition

". . . an excellent textbook . . . well organized and neatly written."

Mathematical Reviews

". . . amazingly interesting . . ."

Technometrics

Thoroughly updated to showcase...


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...


Applied Missing Data Analysis in the Health Sciences

by Xiao-Hua Zhou, Chuan Zhou, Danping Lui & Xaiobo Ding

A modern and practical guide to the essential concepts and ideas for analyzing data with missing observations in the field of biostatistics

With an emphasis on hands-on applications, Applied Missing Data Analysis...