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...

Using the R Commander: A Point-and-Click Interface for R

John Fox
July 20, 2016

This book provides a general introduction to the R Commander graphical user interface (GUI) to R for readers who are unfamiliar with R. It is suitable for use as a supplementary text in a basic or intermediate-level statistics course. It is not intended to replace a basic or other statistics text...

A User's Guide to Business Analytics

Ayanendranath Basu, Srabashi Basu
July 14, 2016

A User's Guide to Business Analytics provides a comprehensive discussion of statistical methods useful to the business analyst. Methods are developed from a fairly basic level to accommodate readers who have limited training in the theory of statistics. A substantial number of case studies and...

Monte-Carlo Methods and Stochastic Processes: From Linear to Non-Linear

Emmanuel Gobet
July 07, 2016

Developed from the author’s course at the Ecole Polytechnique, Monte-Carlo Methods and Stochastic Processes: From Linear to Non-Linear focuses on the simulation of stochastic processes in continuous time and their link with partial differential equations (PDEs). It covers linear and nonlinear...

Reliability Assessments: Concepts, Models, and Case Studies

Franklin Richard Nash, Ph.D.
July 06, 2016

This book provides engineers and scientists with a single source introduction to the concepts, models, and case studies for making credible reliability assessments. It satisfies the need for thorough discussions of several fundamental subjects. Section I contains a comprehensive overview of...

Bayesian Designs for Phase I–II Clinical Trials

Ying Yuan, Hoang Q. Nguyen, Peter F. Thall
June 22, 2016

Reliably optimizing a new treatment in humans is a critical first step in clinical evaluation since choosing a suboptimal dose or schedule may lead to failure in later trials. At the same time, if promising preclinical results do not translate into a real treatment advance, it is important to...

Crop Breeding: Bioinformatics and Preparing for Climate Change

Santosh Kumar
June 08, 2016

Climate change will severely impact the world’s food supply unless steps are taken to increase crop resilience. Otherwise, the negative effects on both the yield and the quality of crop plants are predicted to be immense. Plant genomics is a potentially powerful defense against this looming threat....

Hidden Markov Models for Time Series: An Introduction Using R, Second Edition

Walter Zucchini, Iain L. MacDonald, Roland Langrock
June 07, 2016

Hidden Markov Models for Time Series: An Introduction Using R, Second Edition illustrates the great flexibility of hidden Markov models (HMMs) as general-purpose models for time series data. The book provides a broad understanding of the models and their uses. After presenting the basic model...

Statistical Testing Strategies in the Health Sciences

Albert Vexler, Alan D. Hutson, Xiwei Chen
May 25, 2016

Statistical Testing Strategies in the Health Sciences provides a compendium of statistical approaches for decision making, ranging from graphical methods and classical procedures through computationally intensive bootstrap strategies to advanced empirical likelihood techniques. It bridges the gap...

Benefit-Risk Assessment Methods in Medical Product Development: Bridging Qualitative and Quantitative Assessments

Qi Jiang, Weili He
May 24, 2016

Guides You on the Development and Implementation of B–R Evaluations Benefit–Risk Assessment Methods in Medical Product Development: Bridging Qualitative and Quantitative Assessments provides general guidance and case studies to aid practitioners in selecting specific benefit–risk (B–R) frameworks...

Extending R

John M. Chambers
May 24, 2016

Up-to-Date Guidance from One of the Foremost Members of the R Core Team Written by John M. Chambers, the leading developer of the original S software, Extending R covers key concepts and techniques in R to support analysis and research projects. It presents the core ideas of R, provides...

Bayesian Psychometric Modeling

Roy Levy, Robert J. Mislevy
May 23, 2016

A Single Cohesive Framework of Tools and Procedures for Psychometrics and Assessment Bayesian Psychometric Modeling presents a unified Bayesian approach across traditionally separate families of psychometric models. It shows that Bayesian techniques, as alternatives to conventional approaches,...

Understanding Enzymes: Function, Design, Engineering, and Analysis

Allan Svendsen
May 17, 2016

Understanding Enzymes: Function, Design, Engineering, and Analysis 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 and nanotechnology measurement of enzymes...

Conferences

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