Statistics

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Spatial Point Patterns: Methodology and Applications with R

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Adrian Baddeley, Ege Rubak, Rolf Turner
November 24, 2015

Modern Statistical Methodology and Software for Analyzing Spatial Point Patterns Spatial Point Patterns: Methodology and Applications with R shows scientific researchers and applied statisticians from a wide range of fields how to analyze their spatial point pattern data. Making the techniques acces...

Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data

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Michael Friendly, David Meyer
December 17, 2015

An Applied Treatment of Modern Graphical Methods for Analyzing Categorical Data Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data presents an applied treatment of modern methods for the analysis of categorical data, both discrete response data and fr...

Fundamentals of Probability: with Stochastic Processes, Third Edition

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Saeed Ghahramani
November 6, 2015

Fundamentals of Probability with Stochastic Processes, Third Edition teaches probability in a natural way through interesting and instructive examples and exercises that motivate the theory, definitions, theorems, and methodology. The author takes a mathematically rigorous approach while closely adh...

Understanding Enzymes: Function, Design, Engineering and Analysis

Allan Svendsen
January 31, 2016

This book focuses on the understanding of enzyme function and optimization gained in the past decade, past enzyme function analysis, enzyme engineering, and growing insights from the simulation work as well and nanotechnology measurement of enzymes in action in vitro or in silico. It presents new...

R for Programmers: Mastering the Tools

Dan Zhang
January 27, 2016

Unlike other books about R, written from the perspective of statistics, R for Programmers: Mastering the Tools is written from the perspective of programmers, providing a channel for programmers with expertise in other programming languages to quickly understand R. The contents are divided into...

Stochastic Volatility Modeling

Lorenzo Bergomi
January 05, 2016

Packed with insights, Lorenzo Bergomi’s Stochastic Volatility Modeling explains how stochastic volatility is used to address issues arising in the modeling of derivatives, including: Which trading issues do we tackle with stochastic volatility? How do we design models and assess their relevance...

Computational Statistics Handbook with MATLAB, Third Edition

Wendy L. Martinez, Angel R. Martinez
December 22, 2015

A Strong Practical Focus on Applications and AlgorithmsComputational Statistics Handbook with MATLAB®, Third Edition covers today’s most commonly used techniques in computational statistics while maintaining the same philosophy and writing style of the bestselling previous editions. The text keeps...

Probability Methods for Cost Uncertainty Analysis: A Systems Engineering Perspective, Second Edition

Paul R. Garvey, Stephen A. Book, Raymond P. Covert
December 22, 2015

Probability Methods for Cost Uncertainty Analysis: A Systems Engineering Perspective, Second Edition gives you a thorough grounding in the analytical methods needed for modeling and measuring uncertainty in the cost of engineering systems. This includes the treatment of correlation between the cost...

Big Data Analysis for Bioinformatics and Biomedical Discoveries

Shui Qing Ye
December 22, 2015

Demystifies Biomedical and Biological Big Data Analyses Big Data Analysis for Bioinformatics and Biomedical Discoveries provides a practical guide to the nuts and bolts of Big Data, enabling you to quickly and effectively harness the power of Big Data to make groundbreaking biological discoveries,...

Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition

Ronald Christensen
December 22, 2015

Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition presents linear structures for modeling data with an emphasis on how to incorporate specific ideas (hypotheses) about the structure of the data into a linear model for the data. The book carefully...

Handbook of Discrete-Valued Time Series

Richard A. Davis, Scott H. Holan, Robert Lund, Nalini Ravishanker
December 21, 2015

Model a Wide Range of Count Time Series Handbook of Discrete-Valued Time Series presents state-of-the-art methods for modeling time series of counts and incorporates frequentist and Bayesian approaches for discrete-valued spatio-temporal data and multivariate data. While the book focuses on time...

Statistical Rethinking: A Bayesian Course with Examples in R and Stan

Richard McElreath
December 21, 2015

Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually...

Statistics in Toxicology Using R

Ludwig A. Hothorn
December 21, 2015

The apparent contradiction between statistical significance and biological relevance has diminished the value of statistical methods as a whole in toxicology. Moreover, recommendations for statistical analysis are imprecise in most toxicological guidelines. Addressing these dilemmas, Statistics in...

Extreme Value Modeling and Risk Analysis: Methods and Applications

Dipak K. Dey, Jun Yan
December 21, 2015

Extreme Value Modeling and Risk Analysis: Methods and Applications presents a broad overview of statistical modeling of extreme events along with the most recent methodologies and various applications. The book brings together background material and advanced topics, eliminating the need to sort...

Text Mining and Visualization: Case Studies Using Open-Source Tools

Markus Hofmann, Andrew Chisholm
December 18, 2015

Text Mining and Visualization: Case Studies Using Open-Source Tools provides an introduction to text mining using some of the most popular and powerful open-source tools: KNIME, RapidMiner, Weka, R, and Python. The contributors—all highly experienced with text mining and open-source...

Conferences

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