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Smoothing and Regression: Approaches, Computation, and Application

by Michael G. Schimek

A comprehensive introduction to a wide variety of univariate and multivariate smoothing techniques for regression

Smoothing and Regression: Approaches, Computation, and Application bridges the many gaps that...


High-Dimensional Covariance Estimation: With High-Dimensional Data

by Mohsen Pourahmadi

Methods for estimating sparse and large covariance matrices

Covariance and correlation matrices play fundamental roles in every aspect of the analysis of multivariate data collected from a variety of fields including...


Data Mining and Business Analytics with R

by Johannes Ledolter

Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes...


Handbook of Regression Analysis

by Samprit Chatterjee & Jeffrey S. Simonoff

A Comprehensive Account for Data Analysts of the Methods and Applications of Regression Analysis.

Written by two established experts in the field, the purpose of the Handbook of Regression Analysis is to provide...


Regression Analysis by Example

by Samprit Chatterjee & Ali S. Hadi

Praise for the Fourth Edition:

"This book is . . . an excellent source of examples for regression analysis. It has been and still is readily readable and understandable."

—Journal of the American Statistical...


Difference and Differential Equations with Applications in Queueing Theory

by Aliakbar Montazer Haghighi & Dimitar P. Mishev

A Useful Guide to the Interrelated Areas of Differential Equations, Difference Equations, and Queueing Models

Difference and Differential Equations with Applications in Queueing Theory presents the unique connections...


Neutron Fluctuations: A Treatise on the Physics of Branching Processes

by Imre Pazsit & Lenard Pal

The transport of neutrons in a multiplying system is an area of branching processes with a clear formalism. This book presents an account of the mathematical tools used in describing branching processes, which...


Chances Are: The Only Statistic Book You'll Ever Need

by Steve Slavin

Chances Are is the first book to make statistics accessible to everyone, regardless of how much math you remember from school.


Statistics I & II for Dummies 2 eBook Bundle: Statistics for Dummies & Statistics II for Dummies

by Deborah Rumsey

Two complete eBooks for one low price! Created and compiled by the publisher, this Statistics I and Statistics II bundle brings together two math titles in one, e-only bundle. With this special bundle, you’ll...


Improving Surveys with Paradata: Analytic Uses of Process Information

by Frauke Kreuter

Explore the practices and cutting-edge research on the new and exciting topic of paradata

Paradata are measurements related to the process of collecting survey data.

Improving Surveys with Paradata: Analytic Uses...


Solutions Manual to Accompany Introduction to Linear Regression Analysis

by 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

by 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

by 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

by 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

by 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."

Pharmaceutical...


Applying Contemporary Statistical Techniques

by 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

by 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

by 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

by 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

by 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...