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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...

**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...

**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...

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...

**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."

—*Pharmaceutical...*

**Applying Contemporary Statistical Techniques** explains why traditional statistical methods are often inadequate or outdated when applied to modern problems.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...

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...

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...

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...

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...

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...

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...

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, 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...

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...

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....

**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...

**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...

** 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...

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...