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Designing and Conducting Business Surveys

de 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

de 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

de 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

de 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

de 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

de 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

de 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

de Gary Smith

Student Solutions Manual for Essential Statistics, Regression, and Econometrics

Mathematical Statistics with Applications

de 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)

de Mark Pinsky & Samuel Karlin

An Introduction to Stochastic Modeling, Student Solutions Manual (e-only)

Guidebook to R Graphics Using Microsoft Windows

Applied Mathematics

de 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

de 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

de 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

de 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...

Probabilities: The Little Numbers That Rule Our Lives

de Peter Olofsson

What are the chances?

Find out in this entertaining exploration ofprobabilities in our everyday lives

“If there is anything you want to know, or remind yourself, about probabilities, then look no further than...

Introduction to Bayesian Statistics

de 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...

Numerical Methods in Finance and Economics: A MATLAB-Based Introduction

de Paolo Brandimarte

A state-of-the-art introduction to the powerful mathematical and statistical tools used in the field of finance

The use of mathematical models and numerical techniques is a practice employed by a growing number...

Handbook of Monte Carlo Methods

de Dirk P. Kroese, Thomas Taimre & Zdravko I. Botev

A comprehensive overview of Monte Carlo simulation that explores the latest topics, techniques, and real-world applications

More and more of today’s numerical problems found in engineering and finance are solved...

Linear Models: A Mean Model Approach

de William R. Moser, Zbynek Sidak & David Aldous

Linear models, normally presented in a highly theoretical and mathematical style, are brought down to earth in this comprehensive textbook. Linear Models examines the subject from a mean model perspective, defining...