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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...

Applied Probability and Stochastic Processes, Second Edition

Frank Beichelt
May 03, 2016

Applied Probability and Stochastic Processes, Second Edition presents a self-contained introduction to elementary probability theory and stochastic processes with a special emphasis on their applications in science, engineering, finance, computer science, and operations research. It covers the...

A Gentle Introduction to Stata, Fifth Edition

Alan C. Acock
April 19, 2016

Alan C. Acock’s A Gentle Introduction to Stata, Fifth Edition is aimed at new Stata users who want to become proficient in Stata. After reading this introductory text, new users will be able not only to use Stata well but also to learn new aspects of Stata. Acock assumes that the user is not...

Gene-Environment Interaction Analysis: Methods in Bioinformatics and Computational Biology

Sumiko Anno
April 06, 2016

Gene–environment (G × E) interaction analysis is a statistical method for clarifying G × E interactions applicable to a phenotype or a disease that is the result of interactions between genes and the environment. This book is the first to deal with the theme of G × E interaction analysis. It...

Ordered Regression Models: Parallel, Partial, and Non-Parallel Alternatives

Andrew S. Fullerton, Jun Xu
April 05, 2016

Estimate and Interpret Results from Ordered Regression Models Ordered Regression Models: Parallel, Partial, and Non-Parallel Alternatives presents regression models for ordinal outcomes, which are variables that have ordered categories but unknown spacing between the categories. The book provides...

Handbook of Spatial Epidemiology

Andrew B. Lawson, Sudipto Banerjee, Robert P. Haining, Maria Dolores Ugarte
April 04, 2016

Handbook of Spatial Epidemiology explains how to model epidemiological problems and improve inference about disease etiology from a geographical perspective. Top epidemiologists, geographers, and statisticians share interdisciplinary viewpoints on analyzing spatial data and space–time variations in...

Multiregional Clinical Trials for Simultaneous Global New Drug Development

Joshua Chen, Hui Quan
April 01, 2016

In a global clinical development strategy, multiregional clinical trials (MRCTs) are vital in the development of innovative medicines. Multiregional Clinical Trials for Simultaneous Global New Drug Development presents a comprehensive overview on the current status of conducting MRCTs in clinical...

The Financial Mathematics of Market Liquidity: From Optimal Execution to Market Making

Olivier Gueant
April 01, 2016

This book is among the first to present the mathematical models most commonly used to solve optimal execution problems and market making problems in finance. The Financial Mathematics of Market Liquidity: From Optimal Execution to Market Making presents a general modeling framework for optimal...

Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition

Julian J. Faraway
March 24, 2016

Start Analyzing a Wide Range of Problems Since the publication of the bestselling, highly recommended first edition, R has considerably expanded both in popularity and in the number of packages available. Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric...

Biostatistics in Public Health Using STATA

Erick L. Suárez, Cynthia M. Pérez, Graciela M. Nogueras, Camille Moreno-Gorrín
March 24, 2016

Striking a balance between theory, application, and programming, Biostatistics in Public Health Using STATA is a user-friendly guide to applied statistical analysis in public health using STATA version 14. The book supplies public health practitioners and students with the opportunity to gain...

State-Space Methods for Time Series Analysis: Theory, Applications and Software

Jose Casals, Alfredo Garcia-Hiernaux, Miguel Jerez, Sonia Sotoca, A. Alexandre Trindade
March 23, 2016

The state-space approach provides a formal framework where any result or procedure developed for a basic model can be seamlessly applied to a standard formulation written in state-space form. Moreover, it can accommodate with a reasonable effort nonstandard situations, such as observation errors,...

Spatial Microsimulation with R

Robin Lovelace, Morgane Dumont
March 21, 2016

Generate and Analyze Multi-Level Data Spatial microsimulation involves the generation, analysis, and modeling of individual-level data allocated to geographical zones. Spatial Microsimulation with R is the first practical book to illustrate this approach in a modern statistical programming language...

Reliability Analysis with Minitab

Kishore Kumar Pochampally, Surendra M. Gupta
March 21, 2016

Statistical Analysis for the Reliability Engineering Professional Effectively conduct reliability analysis using the world’s leading statistical software. Reliability Analysis with Minitab® outlines statistical concepts and applications, explains the theory of probability, reliability analysis,...

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