Bøger i Chapman & Hall/CRC Handbooks of Modern Statistical Methods serien

Provides a definitive review of the state of best practice for statistical testimony across a wide range of the forensic sciences, including DNA and fingerprint matching, handwriting analysis, foot prints, eye witness identification, tool marks, bite marks, etc.

The Handbook of Bayesian Variable Selection provides a comprehensive review of theoretical, methodological and computational aspects of Bayesian methods for variable selection. It also provides a valuable reference for all interested in applying existing methods and/or pursuing methodological extensions.

Meta-analysis is the application of statistics to combine results from multiple studies and draw appropriate inferences. Its use and importance have exploded over the years as the need for a robust evidence base has become clear in many scientific areas like medicine and health, social sciences, education, psychology, ecology and economics.

Reference text for statistical methods and applications for measurement error models for: researchers who work with error-contaminated data, graduate students from statistics and biostatistics, analysts in multiple fields, including medical research, biosciences, nutritional studies, epidemiological studies and environmental studies.

This handbook presents many methodological advances and the latest applications of missing data methods in empirical research. It outlines a general taxonomy of missing data mechanisms and their implications for analysis and describes alternatives for estimating models when data are missing. The book covers a range of approaches that assess the

The Handbook of ABC provides illuminating insight into the world of Bayesian modelling for intractable models for both experts and newcomers alike. It is an essential reference book for anyone interested in learning about and implementing ABC techniques to analyse complex models in the modern world.

While there exist a number of excellent books on graphical models, the field has grown so much that individual authors can hardly cover its entire scope. Moreover, the field is interdisciplinary by nature. Through chapters by leading researchers from different areas, this handbook provides a broad and accessible overview of the state of the art.

This handbook is a very timely publication, presenting a broad overview of the methods and applications of this important field of research. It covers a wide array of topics, including the EM algorithm, Bayesian mixture models, model-based clustering, high-dimensional data, hidden Markov models, and applications in finance, geno

This handbook focuses on the enormous literature applying statistical methodology and modelling to environmental and ecological processes.

This handbook is intended to serve as a reference text on statistical methods for randomized controlled trials. It can be used as a textbook for a graduate course in statistical methods for randomized controlled trials as well as a reference for those involved in the design, monitoring and analysis of randomized controlled trials.

This handbook provides an in-depth treatment of up-to-date and currently developing statistical methods for the design and analysis of case-control studies, with a primary focus on case-control studies in epidemiology. Authors will be encouraged to illustrate the statistical methods they describe by application to datasets that are either alread

This handbook provides a comprehensive and unified account of the main research developments in cluster analysis. Written by active, distinguished researchers in this area, the book helps readers make informed choices of the most suitable clustering approach for their problem and make better use of existing cluster analysis tools. It covers the

This handbook 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. The book examines the advantages and limitations of the various modeling techniques and keeps probabilistic, technical details to a minimum. While

This carefully edited collection synthesizes the state of the art in the theory and applications of designed experiments and their analyses. It provides a detailed overview of the tools required for the optimal design of experiments and their analyses. The handbook covers many recent advances in the field, including designs for nonlinear models

This handbook 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 disease incidences. The book explores the use of GIS and spatial s

Meta-analysis is the application of statistics to combine results from multiple studies and draw appropriate inferences. Its use and importance have exploded over the years as the need for a robust evidence base has become clear in many scientific areas like medicine and health, social sciences, education, psychology, ecology and economics.

Provides a definitive review of the state of best practice for statistical testimony across a wide range of the forensic sciences, including DNA and fingerprint matching, handwriting analysis, foot prints, eye witness identification, tool marks, bite marks, etc.

Treats the topics of multiple comparisons, simultaneous and selective inference from avariety of different perspectives. The need for a systematic treatment of the eld originates from the relevanceof multiple comparisons in many applications (medicine, industry, economics), and from the diversityof approaches and developments.

This handbook provides overviews of statistical methods in sports, in-depth treatment of critical problems and challenges confronting statistical research in sports. The material in the handbook is organized by major sport followed by a section on other sports and general statistical design and analysis issues that are common to all sports.

There are many books on infectious disease epidemiology with an emphasis on mathematical modelling, but less so on dataanalytic aspects. This provides a unique and comprehensive account of state-of-the-art methodology for analysis of infectious disease data.

This handbook focuses on the enormous literature applying statistical methodology and modelling to environmental and ecological processes.

The Handbook of ABC provides illuminating insight into the world of Bayesian modelling for intractable models for both experts and newcomers alike. It is an essential reference book for anyone interested in learning about and implementing ABC techniques to analyse complex models in the modern world.

This handbook provides an in-depth treatment of up-to-date and currently developing statistical methods for the design and analysis of case-control studies, with a primary focus on case-control studies in epidemiology. Authors will be encouraged to illustrate the statistical methods they describe by application to datasets that are either already publicly available or can be made so. A handbook website will be established that provides readers access to those datasets and software used to analyze them. Wherever feasible, authors will be asked to construct their examples using the R statistical language, though programs in SAS, Stata or other common languages will also be accepted.

This handbook provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from statistics and computer science experts in industry and academia, the text instills a working understanding of key statistical and computing ideas that can be readily applied in research and practice. Offering balanced coverage of methodology, theory, and applications, the text describes modern, scalable approaches for analyzing large datasets. It details advances in statistics and machine learning, as well as defines the underlying concepts of the available analytical tools and techniques.

This handbook 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. The book examines the advantages and limitations of the various modeling techniques and keeps probabilistic, technical details to a minimum. While the book focuses on time series of counts, some of the methods discussed can be applied to other types of discrete-valued time series, such as binary-valued or categorical time series.

The objective of this volume is to provide a comprehensive review of recent developments of quantile regression methodology illustrating its applicability in a wide range of scientific settings. The intended audience of the volume is researchers and graduate students across a diverse set of disciplines.

This handbook will provide both overviews of statistical methods in sports and in-depth treatment of critical problems and challenges confronting statistical research in sports. The material in the handbook will be organized by major sport (baseball, football, hockey, basketball, and soccer) followed by a section on other sports and general statistical design and analysis issues that are common to all sports. This handbook has the potential to become the standard reference for obtaining the necessary background to conduct serious statistical analyses for sports applications and to appreciate scholarly work in this expanding area.

This handbook will provide an overview of most up-to-date statistical methods required for design, monitoring and analysis for dose finding clinical trials, focusing both on the clinical aspects as well as statistical considerations. This handbook will not cover statistical methods for Phase II non-dose finding studies or Phase III clinical trials.