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Solutions Manual to Accompany Introduction to Linear Regression Analysis

de Ann G. Ryan, Douglas C. Montgomery & Elizabeth A. Peck

As the Solutions Manual, this book is meant to accompany the main title, Introduction to Linear Regression Analysis, Fifth Edition. Clearly balancing theory with applications, this book describes both the...

Statistics and Probability with Applications for Engineers and Scientists

de Bhisham C. Gupta & Irwin Guttman

Introducing the tools of statistics and probability from the ground up

An understanding of statistical tools is essential for engineers and scientists who often need to deal with data analysis over the course...

The Art of Data Analysis: How to Answer Almost any Question Using Basic Statistics

de Kristin H. Jarman

A friendly and accessible approach to applying statistics in the real world

With an emphasis on critical thinking, The Art of Data Analysis: How to Answer Almost Any Question Using Basic Statistics presents fun...

Multiparametric Statistics

de Vadim Ivanovich Serdobolskii

This monograph presents mathematical theory of statistical models described by the essentially large number of unknown parameters, comparable with sample size but can also be much larger. In this meaning, the...

Categorical Data Analysis

de Alan Agresti

Praise for the Second Edition

"A must-have book for anyone expecting to do research and/or applications in categorical data analysis."

Statistics in Medicine

"It is a total delight reading this book."


Applying Contemporary Statistical Techniques

de Rand R. Wilcox

Applying Contemporary Statistical Techniques explains why traditional statistical methods are often inadequate or outdated when applied to modern problems. Wilcox demonstrates how new and more powerful techniques...

Math on Trial: How Numbers Get Used and Abused in the Courtroom

de Leila Schneps & Coralie Colmez

In the wrong hands, math can be deadly. Even the simplest numbers can become powerful forces when manipulated by journalists, politicians or other public figures, but in the case of the law your liberty—and...

Handbook of Latent Variable and Related Models

de Sik-Yum Lee

This Handbook covers latent variable models, which are a flexible class of models for modeling multivariate data to explore relationships among observed and latent variables.

- Covers a wide class of important...

Computational Statistics

de Geof H. Givens & Jennifer A. Hoeting

This new edition continues to serve as a comprehensive guide to modern and classical methods of statistical computing.  The book is comprised of four main parts spanning the field:

  • Optimization
  • Integration and...

Head First Statistics

de Dawn Griffiths

Wouldn't it be great if there were a statistics book that made histograms, probability distributions, and chi square analysis more enjoyable than going to the dentist? Head First Statistics brings this typically...

Mathematical Methods in Survival Analysis, Reliability and Quality of Life

de Catherine Huber, Nikolaos Limnios & Mounir Mesbah

Reliability and survival analysis are important applications of stochastic mathematics (probability, statistics and stochastic processes) that are usually covered separately in spite of the similarity of the...

Bayesian Approach to Inverse Problems

de Jérôme Idier

Many scientific, medical or engineering problems raise the issue of recovering some physical quantities from indirect measurements; for instance, detecting or quantifying flaws or cracks within a material from...

Introduction to Stochastic Models

de Marius Iosifescu, Nikolaos Limnios & Gheorghe Oprisan

This book provides a pedagogical examination of the way in which stochastic models are encountered in applied sciences and techniques such as physics, engineering, biology and genetics, economics and social...

Switching Processes in Queueing Models

de Vladimir Anisimov

Switching processes, invented by the author in 1977, is the main tool used in the investigation of traffic problems from automotive to telecommunications. The title provides a new approach to low traffic problems...

Discrete-Time Asset Pricing Models in Applied Stochastic Finance

de P-C. G. Vassiliou

Stochastic finance and financial engineering have been rapidly expanding fields of science over the past four decades, mainly due to the success of sophisticated quantitative methodologies in helping professionals...

Data Analysis

de Gérard Govaert

The first part of this book is devoted to methods seeking relevant dimensions of data. The variables thus obtained provide a synthetic description which often results in a graphical representation of the data....

The Analysis of Covariance and Alternatives: Statistical Methods for Experiments, Quasi-Experiments, and Single-Case Studies

de Bradley Huitema

A complete guide to cutting-edge techniques and best practices for applying covariance analysis methods

The Second Edition of Analysis of Covariance and Alternatives sheds new light on its topic, offering in-depth...

Bias and Causation: Models and Judgment for Valid Comparisons

de Herbert I. Weisberg

A one-of-a-kind resource on identifying and dealing with bias in statistical research on causal effects

Do cell phones cause cancer? Can a new curriculum increase student achievement? Determining what the real...

Applied Logistic Regression

de David W. Hosmer, Stanley Lemeshow & Rodney X. Sturdivant

 A new edition of the definitive guide to logistic regression modeling for health science and other applications

This thoroughly expanded Third Edition provides an easily accessible introduction to the logistic...

Digital Dice: Computational Solutions to Practical Probability Problems (New in Paperback)

de Paul J. Nahin

Some probability problems are so difficult that they stump the smartest mathematicians. But even the hardest of these problems can often be solved with a computer and a Monte Carlo simulation, in which a random-number...