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Computational Approaches to Studying the Co-Evolution of Networks and Behavior in Social Dilemmas

by Rense Corten

Computational Approaches to Studying the Co-evolution of Networks and Behaviour in Social Dilemmas shows students, researchers, and professionals how to use computation methods, rather than mathematical analysis,...


Bioinformatics: Sequence Alignment and Markov Models

by Kal Sharma

GET FULLY UP-TO-DATE ON BIOINFORMATICS-THE TECHNOLOGY OF THE 21ST CENTURY

Bioinformatics showcases the latest developments in the field along with all the foundational information you'll need. It provides in-depth...


Simple Adaptive Strategies: From Regret-Matching to Uncoupled Dynamics

by SERGIU HART & ANDREU MAS-COLELL

This volume collects almost two decades of joint work of Sergiu Hart and Andreu Mas-Colell on game dynamics and equilibria. The starting point was the introduction of the adaptive strategy called regret-matching...


Exploration and Analysis of DNA Microarray and Other High-Dimensional Data

by Ziv Shkedy, Dhammika Amaratunga & Javier Cabrera

Praise for the First Edition

“…extremely well written…a comprehensive and up-to-date overview of this important field.” – Journal of Environmental Quality

 

Exploration and Analysis of DNA Microarray...


Design, Evaluation, and Analysis of Questionnaires for Survey Research

by Willem E. Saris & Irmtraud N. Gallhofer

Design, Evaluation, and Analysis of Questionnaires for Survey Research, Second Edition explores updates on the statistical knowledge and development of survey questionnaires, including analyzing the important...


Fractional Kinetics in Solids: Anomalous Charge Transport in Semiconductors, Dielectrics and Nanosystems

by Vladimir Uchaikin & Renat Sibatov

The standard (Markovian) transport model based on the Boltzmann equation cannot describe some non-equilibrium processes called anomalous that take place in many disordered solids. Causes of anomality lie in...


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

by HORACIO SERGIO WIO

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

by PAL REVESZ

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...


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

by MICHAEL MARK WOOLFSON

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...