Chapman & Hall/CRC Monographs on Statistics & Applied Probability

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1 - 12 of 114 Series Titles

Multi-State Survival Models for Interval-Censored Data


Ardo van den Hout

November 30, 2015

Multi-state models describe stochastic processes that consist of transitions between states over time, such as the three-state illness-death model. Interval-censored data is extremely common as the exact time of transition from one state to another is unknown—only an interval of time is known. This 

Perfect Simulation


Mark L. Huber

November 15, 2015

Absolute or Crude Risk: Applications in Disease Prevention


Mitchell H. Gail, Ruth Pfeiffer

August 15, 2015

Absolute risk is the probability of developing a specific disease over a specified time interval in the presence of competing causes of mortality. Although absolute risk is arguably more relevant to clinical decision making than "pure" risk, the development of appropriate statistical methods for 

Latent Tree Graphical Models: A Geometric Perspective


Piotr Zwiernik

August 15, 2015

This book introduces algebraic, combinatorial, and geometric methods for hidden tree models. It presents a focused introduction to some concepts in algebraic statistics and shows how the methods can be applied in statistics. The book also gives a broad overview of the current research on hidden 

Inferential Models: Reasoning with Uncertainty


Chuanhai Liu, Ryan Martin

July 15, 2015

This book delves into the authors’ work toward deeper understanding of statistical inference in terms of reasoning with uncertainty and meaningfulness of probabilistic inferential output. Focusing on a valid, prior-free probabilistic inferential framework called inferential models, the authors 

Martingale Methods in Statistics


Yoichi Nishiyama

July 15, 2015

This gives a comprehensive introduction to the (standard) statistical analysis based on the theory of martingales and develops entropy methods in order to treat dependent data in the framework of martingales. The author starts a summary of the martingale theory, and then proceeds to give full 

Models for Dependent Time Series


Granville Tunnicliffe-Wilson, Marco Reale, John Haywood

May 15, 2015

Authored by leading researchers in multivariate time series, this book introduces time series models based on lagged regression, particularly vector autoregressive models. It covers recent developments, such as graphical modeling and generalized lag models, and extends them to the important case of 

Bayesian Inference for Partially Identified Models: Exploring the Limits of Limited Data


Paul Gustafson

March 20, 2015

Many observational studies in epidemiology and other disciplines face inherent limitations in study design and data quality, such as selection bias, unobserved variables, and poorly measured variables. Accessible to statisticians and researchers from various disciplines, this book presents an 

Pareto Distributions Second Edition


Barry C. Arnold

February 18, 2015

A considerable number of papers on Pareto distributions and related topics have appeared since the first edition of this hadbook. This book updates the popular first edition by interleafing developments inequality indices, parametric families of Lorenz curves, Pareto processes, hidden truncation, 

Introduction to High-Dimensional Statistics


Christophe Giraud

December 23, 2014

Ever-greater computing technologies have given rise to an exponentially growing volume of data. Today massive data sets (with potentially thousands of variables) play an important role in almost every branch of modern human activity, including networks, finance, and genetics. However, analyzing 

Design and Analysis of Cross-Over Trials, Third Edition

Byron Jones, Michael G. Kenward

October 08, 2014

Design and Analysis of Cross-Over Trials is concerned with a specific kind of comparative trial known as the cross-over trial, in which subjects receive different sequences of treatments. Such trials are widely used in clinical and medical research, and in other diverse areas such as veterinary 

Hierarchical Modeling and Analysis for Spatial Data, Second Edition

Sudipto Banerjee, Bradley P. Carlin, Alan E. Gelfand

September 12, 2014

Keep Up to Date with the Evolving Landscape of Space and Space-Time Data Analysis and Modeling Since the publication of the first edition, the statistical landscape has substantially changed for analyzing space and space-time data. More than twice the size of its predecessor, Hierarchical Modeling 

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