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Optimal Learning

by Warren B. Powell & Ilya O. Ryzhov

Learn the science of collecting information to make effective decisions

Everyday decisions are made without the benefit of accurate information. Optimal Learning develops the needed principles for gathering information...


Performing Data Analysis Using IBM SPSS

by Lawrence S. Meyers, Glenn C. Gamst & A. J. Guarino

Features easy-to-follow insight and clear guidelines to perform data analysis using IBM SPSS®

Performing Data Analysis Using IBM SPSS® uniquely addresses the presented statistical procedures with an example...


Chances Are: Adventures in Probability

by Michael Kaplan

A compelling journey through history, mathematics, and philosophy, charting humanity’s struggle against randomness Our lives are played out in the arena of chance. However little we recognize it in our day-to-day...


Optimal Learning

by Warren B. Powell & Ilya O. Ryzhov

Learn the science of collecting information to make effective decisions

Everyday decisions are made without the benefit of accurate information. Optimal Learning develops the needed principles for gathering information...


A Mathematician at the Ballpark: Odds and Probabilities for Baseball Fans

by Ken Ross

In A Mathematician at the Ballpark, professor Ken Ross reveals the math behind the stats. This lively and accessible book shows baseball fans how to harness the power of made predictions and better understand...


Designing and Conducting Business Surveys

by Ger Snijkers, Gustav Haraldsen & Jacqui Jones

Designing and Conducting Business Surveys provides a coherent overview of the business survey process, from start to finish. It uniquely integrates an understanding of how businesses operate, a total survey...


Methods and Applications of Linear Models: Regression and the Analysis of Variance

by Ronald R. Hocking

Praise for the Second Edition“An essential desktop reference book . . . it should definitely be on your bookshelf.” —Technometrics

A thoroughly updated book, Methods and Applications of Linear Models: Regression...


Convergence of Probability Measures

by Patrick Billingsley

A new look at weak-convergence methods in metric spaces-from a master of probability theory In this new edition, Patrick Billingsley updates his classic work Convergence of Probability Measures to reflect developments...


Convex Functions, Partial Orderings, and Statistical Applications

by Josip E. Peajcariaac & Y. L. Tong

This research-level book presents up-to-date information concerning recent developments in convex functions and partial orderings and some applications in mathematics, statistics, and reliability theory. The...


Statistical Bioinformatics: with R

by Sunil K. Mathur

Designed for a one or two semester senior undergraduate or graduate bioinformatics course, Statistical Bioinformatics takes a broad view of the subject - not just gene expression and sequence analysis, but a...


Statistical Methods in Food and Consumer Research

by Jr., Maximo C. Gacula, Jagbir Singh & Jian Bi

Statistical Methods in Food and Consumer Research continues to be the only book to focus solely on the statistical techniques used in sensory testing of foods, pharmaceuticals, cosmetics, and other consumer...


Markov Chains

by D. Revuz

This is the revised and augmented edition of a now classic book which is an introduction to sub-Markovian kernels on general measurable spaces and their associated homogeneous Markov chains. The first part,...


Student Solutions Manual for Essential Statistics, Regression, and Econometrics

by Gary Smith

Student Solutions Manual for Essential Statistics, Regression, and Econometrics


Mathematical Statistics with Applications

by K.M. Ramachandran & Chris P. Tsokos

Mathematical Statistics with Applications provides a calculus-based theoretical introduction to mathematical statistics while emphasizing interdisciplinary applications as well as exposure to modern statistical...


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)


Guidebook to R Graphics Using Microsoft Windows

Applied Mathematics

by J. David Logan

Praise for the Third Edition

“Future mathematicians, scientists, and engineers should find the book to be an excellent introductory text for coursework or self-study as well as worth its shelf space for reference.”...


The Spectral Analysis of Time Series

by Lambert H. Koopmans

To tailor time series models to a particular physical problem and to follow the working of various techniques for processing and analyzing data, one must understand the basic theory of spectral (frequency domain)...


Applied Linear Regression

by Sanford Weisberg

Master linear regression techniques with a new edition of a classic text

Reviews of the Second Edition:

"I found it enjoyable reading and so full of interesting material that even the well-informed reader will...


Introduction to Linear Regression Analysis

by Douglas C. Montgomery, Elizabeth A. Peck & G. Geoffrey Vining

Praise for the Fourth Edition

"As with previous editions, the authors have produced a leading textbook on regression."

Journal of the American Statistical Association

A comprehensive and up-to-date introduction...