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Data Analysis for Network Cyber-Security

by Niall Adams & Nicholas Heard

There is increasing pressure to protect computer networks against unauthorized intrusion, and some work in this area is concerned with engineering systems that are robust to attack. However, no system can be...


Hands-On Programming with R: Write Your Own Functions and Simulations

by Garrett Grolemund

Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, you’ll learn how to load data, assemble and disassemble data...


Cognitive Interviewing Methodology: A Sociological Approach for Survey Question Evaluation

by Kristen Miller, Valerie Chepp & Stephanie Willson

AN INTERDISCIPLINARY PERSPECTIVE TO THE EVOLUTION OF THEORY AND METHODOLOGY WITHIN COGNITIVE INTERVIEW PROCESSES

Providing a comprehensive approach to cognitive interviewing in the field of survey methodology,...


Categorical and Nonparametric Data Analysis: Choosing the Best Statistical Technique

by E. Michael Nussbaum

Featuring in-depth coverage of categorical and nonparametric statistics, this book provides a conceptual framework for choosing the most appropriate type of test in various research scenarios. Class tested at...


Introductory Statistics

by Sheldon M. Ross

In this 3rd edition revised text, master expositor Sheldon Ross has produced a unique work in introductory statistics. The text's main merits are the clarity of presentation, contemporary examples and applications...


Finite Markov Processes and Their Applications

by Marius Iosifescu

A self-contained treatment of finite Markov chains and processes, this text covers both theory and applications. Author Marius Iosifescu, vice president of the Romanian Academy and director of its Center for...


Spectral Theory of Large Dimensional Random Matrices and Its Applications to Wireless Communications and Finance Statistics: Random Matrix Theory and

by Zhidong Bai, Zhaoben Fang & Ying-Chang Liang

The book contains three parts: Spectral theory of large dimensional random matrices; Applications to wireless communications; and Applications to finance. In the first part, we introduce some basic theorems...


Fundamentals of Applied Probability and Random Processes

by Oliver Ibe

The long-awaited revision of Fundamentals of Applied Probability and Random Processes expands on the central components that made the first edition a classic. The title is based on the premise that engineers...


Statistics for Exercise Science and Health with Microsoft Office Excel

by J. P. Verma

This book introduces the use of statistics to solve a variety of problems in exercise science and health and provides readers with a solid foundation for future research and data analysis.

Statistics for Exercise...


Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining

by Glenn J. Myatt & Wayne P. Johnson

Praise for the First Edition

 “...a well-written book on data analysis and data mining that provides an excellent foundation...”

—CHOICE

“This is a must-read book for learning practical statistics and...


Willful Ignorance: The Mismeasure of Uncertainty

by Herbert I. Weisberg

An original account of willful ignorance and how this principle relates to modern probability and statistical methods

Through a series of colorful stories about great thinkers and the problems they chose to...


Basic Data Analysis for Time Series with R

by DeWayne R. Derryberry

Written at a readily accessible level, Basic Data Analysis for Time Series with R emphasizes the mathematical importance of collaborative analysis of data used to collect increments of time or space. Balancing...


Catastrophe Theory and Its Applications

by Tim Poston & Ian Stewart

First integrated treatment of main ideas behind René Thom's theory of catastrophes stresses detailed applications in the physical sciences. Mathematics of theory explained with a minimum of technicalities....


The Norm Chronicles: Stories and Numbers About Danger and Death

by Michael Blastland & David Spiegelhalter

A statistician and a journalist reveal the real story behind the statistics on risk, chance, and choice


Probability 1

by Ph.D., Amir D. Aczel

For thousands of years, it was the visionaries and writers who argued that we cannot be alone-that there is intellegent life in the universe. Now, with the discoveries of the Hubble Telescope, data emerging...


Design and Analysis of Experiments

by Arjun K Gupta & D G Kabe

The design of experiments holds a central place in statistics. The aim of this book is to present in a readily accessible form certain theoretical results of this vast field. This is intended as a textbook for...


Measure, Probability, and Mathematical Finance: A Problem-Oriented Approach

by Guojun Gan, Chaoqun Ma & Hong Xie

An introduction to the mathematical theory and financial models developed and used on Wall Street

Providing both a theoretical and practical approach to the underlying mathematical theory behind financial models,...


Multivariate Nonparametric Regression and Visualization: With R and Applications to Finance

by Jussi Klemelä

A modern approach to statistical learning and its applications through visualization methods

With a unique and innovative presentation, Multivariate Nonparametric Regression and Visualization provides readers...


An Introduction to Measure-Theoretic Probability

by George G. Roussas

An Introduction to Measure-Theoretic Probability, Second Edition, employs a classical approach to teaching students of statistics, mathematics, engineering, econometrics, finance, and other disciplines that...


Nonparametric Statistics: A Step-by-Step Approach

by Gregory W. Corder & Dale I. Foreman

“…a very useful resource for courses in nonparametric statistics in which the emphasis is on applications rather than on theory.  It also deserves a place in libraries of all institutions where introductory...