Drawing on the work of internationally acclaimed experts in the field, Handbook of Item Response Theory, Volume Two: Statistical Tools presents classical and modern statistical tools used in item resp...

This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data.

Drawing on the work of internationally acclaimed experts in the field, this first volume in a three-volume set presents all major item response models.

With contributions from some of the most prominent researchers in the field, this carefully edited collection provides a clear, comprehensive, and unified overview of recent developments in statistica...

Handbook of Empirical Economics and Finance explores the latest developments in the analysis and modeling of economic and financial data.

Assembling a collection of very prominent researchers in the field, the Handbook of Spatial Statistics presents a comprehensive treatment of both classical and state-of-the-art aspects of this maturin...

Since their popularization in the 1990s, Markov chain Monte Carlo (MCMC) methods have revolutionized statistical computing and have had an especially profound impact on the practice of Bayesian statis...

Understand How to Analyze and Interpret Information in Ecological Point Patterns Although numerous statistical methods for analyzing spatial point patterns have been available for several decades, th...

The Most Comprehensive Book on the Subject Chronicles the Development of the Weibull Distribution in Statistical Theory and Applied StatisticsExploring one of the most important distributions in stati...

In response to the US FDA?s Critical Path Initiative, innovative adaptive designs are being used more and more in clinical trials due to their flexibility and efficiency, especially during early phase...

Economic Time Series: Modeling and Seasonality is a focused resource on analysis of economic time series as pertains to modeling and seasonality, presenting cutting-edge research that would otherwise ...

Missing data affect nearly every discipline by complicating the statistical analysis of collected data.

Many new challenges have arisen in the area of oncology clinical trials.

Technological and statistical advances, along with a strong interest in gathering more information about the state of our educational systems, have made it possible to assess more students, in more co...

In response to scientific needs for more diverse and structured explanations of statistical data, researchers have discovered how to model individual data points as belonging to multiple groups.

Handbook of Design and Analysis of Experiments provides a detailed overview of the tools required for the optimal design of experiments and their analyses.

Handbook of Cluster Analysis provides a comprehensive and unified account of the main research developments in cluster analysis.

Handbook of Survival Analysis presents modern techniques and research problems in lifetime data analysis.

Model a Wide Range of Count Time Series Handbook of Discrete-Valued Time Series presents state-of-the-art methods for modeling time series of counts and incorporates frequentist and Bayesian approach...

Visualization and Verbalization of Data shows how correspondence analysis and related techniques enable the display of data in graphical form, which results in the verbalization of the structures in d...

Since 1945, "The Annual Deming Conference on Applied Statistics" has been an important event in the statistics profession.

Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets.

Handbook of Spatial Epidemiology explains how to model epidemiological problems and improve inference about disease etiology from a geographical perspective.

Easy-to-Use Reference and Software for Statistical Modeling and Testing Handbook of Statistical Distributions with Applications, Second Edition provides quick access to common and specialized probabil...

With the development of new fitting methods, their increased use in applications, and improved computer languages, the fitting of statistical distributions to data has come a long way since the introd...