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Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Third Edition

3rd Edition

Andrew B. Lawson
May 24, 2018

Since the publication of the second edition, many new Bayesian tools and methods have been developed for space-time data analysis, the predictive modeling of health outcomes, and other spatial biostatistical areas. Exploring these new developments, Bayesian Disease Mapping: Hierarchical Modeling in...

Graphics for Statistics and Data Analysis with R

2nd Edition

Kevin J. Keen
May 18, 2018

Praise for the First Edition "The main strength of this book is that it provides a unified framework of graphical tools for data analysis, especially for univariate and low-dimensional multivariate data. In addition, it is clearly written in plain language and the inclusion of R code is...

Patterned Random Matrices

1st Edition

Arup Bose
May 17, 2018

Large dimensional random matrices (LDRM) with specific patterns arise in econometrics, computer science, mathematics, physics, and statistics. This book provides an easy initiation to LDRM. Through a unified approach, we investigate the existence and properties of the limiting spectral distribution...

Analytics and Knowledge Management

1st Edition

Suliman Hawamdeh, Hsia-Ching Chang
May 16, 2018

The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics technique. Analytics and Knowledge Management examines the role of analytics in knowledge management and the integration of big data theories, methods,...

Nonparametric Models for Longitudinal Data: With Implementation in R

1st Edition

Colin O. Wu, Xin Tian
May 15, 2018

Nonparametric Models for Longitudinal Data with Implementations in R presents a comprehensive summary of major advances in nonparametric models and smoothing methods with longitudinal data. It covers methods, theories, and applications that are particularly useful for biomedical studies in the era...

Multivariate Kernel Smoothing and Its Applications

1st Edition

José E. Chacón, Tarn Duong
May 08, 2018

Kernel smoothing has greatly evolved since its inception to become an essential methodology in the data science tool kit for the 21st century. Its widespread adoption is due to its fundamental role for multivariate exploratory data analysis, as well as the crucial role it plays in composite...

R for Programmers: Quantitative Investment Applications

1st Edition

Dan Zhang
May 07, 2018

After the fundamental volume and the advanced technique volume, this volume focuses on R applications in the quantitative investment area. Quantitative investment has been hot for some years, and there are more and more startups working on it, combined with many other internet communities and...

Medical Statistics: An A-Z Companion, Second Edition

2nd Edition

Filomena Pereira-Maxwell
May 04, 2018

This invaluable, jargon-free guide to essential medical terminology in an accessible A-Z format is ideal for medical, allied health and biomedical science students and researchers, clinicians and health care practitioners. Avoiding the complex language that is so often a feature of...

Multistate Models for the Analysis of Life History Data

1st Edition

Richard J Cook, Jerald F. Lawless
May 04, 2018

Multistate Models for the Analysis of Life History Data provides the first comprehensive treatment of multistate modeling and analysis, including parametric, nonparametric and semiparametric methods applicable to many types of life history data. Special models such as illness-death, competing risks...

Handbook of Educational Measurement and Psychometrics Using R

1st Edition

Christopher D. Desjardins, Okan Bulut
May 02, 2018

Currently there are many introductory textbooks on educational measurement and psychometrics as well as R. However, there is no single book that covers important topics in measurement and psychometrics as well as their applications in R. The Handbook of Educational Measurement and Psychometrics...

Self-Controlled Case Series Studies: A Modelling Guide with R

1st Edition

Paddy Farrington, Heather Whitaker, Yonas Ghebremichael Weldeselassie
May 02, 2018

Self-Controlled Case Series Studies: A Modelling Guide with R provides the first comprehensive account of the self-controlled case series (SCCS) method, a statistical technique for investigating associations between outcome events and time-varying exposures. The method only requires information...

Sufficient Dimension Reduction: Methods and Applications with R

1st Edition

Bing Li
May 01, 2018

Sufficient dimension reduction is a rapidly developing research field that has wide applications in regression diagnostics, data visualization, machine learning, genomics, image processing, pattern recognition, and medicine, because they are fields that produce large datasets with a large number of...

Conferences

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