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Multivariate Statistics: Theory and Applications

by Tõnu Kollo

The book aims to present a wide range of the newest results on multivariate statistical models, distribution theory and applications of multivariate statistical methods. A paper on Pearson–Kotz–Dirichlet...

Path Integrals for Stochastic Processes: An Introduction


This book provides an introductory albeit solid presentation of path integration techniques as applied to the field of stochastic processes. The subject began with the work of Wiener during the 1920's, corresponding...

Random Walk in Random and Non-Random Environments


The simplest mathematical model of the Brownian motion of physics is the simple, symmetric random walk. This book collects and compares current results — mostly strong theorems which describe the properties...

Inequalities in Analysis and Probability

by Odile Pons

The book is aimed at graduate students and researchers with basic knowledge of Probability and Integration Theory. It introduces classical inequalities in vector and functional spaces with applications to probability....

Kernel Smoothing in Matlab: Theory and Practice of Kernel Smoothing

by Ivanka Horová & Jan Kolácek

Methods of kernel estimates represent one of the most effective nonparametric smoothing techniques. These methods are simple to understand and they possess very good statistical properties. This book provides...

Statistical Methods of Analysis

by Chin Long Chiang

This textbook systematically presents fundamental methods of statistical analysis: from probability and statistical distributions, through basic concepts of statistical inference, to a collection of methods...

Pricing Derivative Securities: 2nd Edition

by Thomas W Epps

This book presents techniques for valuing derivative securities at a level suitable for practitioners, students in doctoral programs in economics and finance, and those in masters-level programs in financial...

Everyday Probability and Statistics: Health, Elections, Gambling and War


Probability and statistics impinge on the life of the average person in a variety of ways — as is suggested by the title of this book. Very often, information is provided that is factually accurate but intended...

Examples and Problems in Mathematical Statistics

by Shelemyahu Zacks

Provides the necessary skills to solve problems in mathematical statistics through theory, concrete examples, and exercises

With a clear and detailed approach to the fundamentals of statistical theory, Examples...

Matrix Algebra for Linear Models

by Marvin H. J. Gruber

A self-contained introduction to matrix analysis theory and applications in the field of statistics

Comprehensive in scope, Matrix Algebra for Linear Models offers a succinct summary of matrix theory and its...

Understanding Uncertainty

by Dennis V. Lindley

Praise for the First Edition

"...a reference for everyone who is interested in knowing and handling uncertainty."

Journal of Applied Statistics

The critically acclaimed First Edition of Understanding Uncertainty...

Applied Linear Regression

by Sanford Weisberg

Praise for the Third Edition

"...this is an excellent book which could easily be used as a course text..."

—International Statistical Institute

The Fourth Edition of Applied Linear Regression provides a...

Nonparametric Statistical Methods

by Myles Hollander, Douglas A. Wolfe & Eric Chicken

Praise for the Second Edition

“This book should be an essential part of the personal library of every practicing statistician.”Technometrics


Thoroughly revised and updated, the new edition of Nonparametric...

Statistics: Bullet Guides

by Alan Graham

What's in this book?

Open this book and you will...

- Improve communication

- Foster development

- Establish goals

- Encourage success

Learn how to be a mentor:

- Understanding mentoring

- The mentoring process


Understand Statistics: Teach Yourself

by Alan Graham

Do you want to better understand the statistics you hear everyday - and recognise if you're being misled? Here is a straightforward introduction to the principles of this vital field of mathematics. Assuming...

Fast Sequential Monte Carlo Methods for Counting and Optimization

by Reuven Y. Rubinstein, Ad Ridder & Radislav Vaisman

A comprehensive account of the theory and application of Monte Carlo methods

Based on years of research in efficient Monte Carlo methods for estimation of rare-event probabilities, counting problems, and combinatorial...

Multivariate Time Series Analysis: With R and Financial Applications

by Ruey S. Tsay

An accessible guide to the multivariate time series tools used in numerous real-world applications

Multivariate Time Series Analysis: With R and Financial Applications is the much anticipated sequel coming from...

Probability: With Applications and R

by Robert P. Dobrow

An introduction to probability at the undergraduate level

Chance and randomness are encountered on a daily basis. Authored by a highly qualified professor in the field, Probability: With Applications and R delves...

5 Steps to a 5 AP Statistics, 2010-2011 Edition

by Duane C Hinders

A Perfect Plan for the Perfect Score

We want you to succeed on your AP* exam. That's why we've created this 5-step plan to help you study more effectively, use your preparation time wisely, and get your best...

Design and Analysis of Clinical Trials: Concepts and Methodologies

by Shein-Chung Chow & Jen-Pei Liu

Praise for the Second Edition:

“...a grand feast for biostatisticians. It stands ready to satisfy the appetite of any pharmaceutical scientist with a respectable statistical appetite.” —Journal of Clinical...