Statistical Theory & Methods

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Theory of Stochastic Objects: Probability, Stochastic Processes and Inference

1st Edition

Athanasios Christou Micheas
January 24, 2018

This book defines and investigates the concept of a random object. To accomplish this task in a natural way, it brings together three major areas; statistical inference, measure-theoretic probability theory and stochastic processes. This point of view has not been explored by existing textbooks;...

Survey Weights: A Step-by-step Guide to Calculation

1st Edition

Richard Valliant, Jill A. Dever
January 08, 2018

Survey Weights: A Step-by-Step Guide to Calculation is the first guide geared toward Stata users that systematically covers the major steps taken in creating survey weights. These weights are used to project a sample to some larger population and can be computed for either probability or...

Bayesian Inference for Stochastic Processes

1st Edition

Lyle D. Broemeling
December 15, 2017

This is the first book designed to introduce Bayesian inference procedures for stochastic processes. There are clear advantages to the Bayesian approach (including the optimal use of prior information). Initially, the book begins with a brief review of Bayesian inference and uses many examples...

Some Basic Theory for Statistical Inference: Monographs on Applied Probability and Statistics

1st Edition

E.J.G. Pitman
November 29, 2017

In this book the author presents with elegance and precision some of the basic mathematical theory required for statistical inference at a level which will make it readable by most students of statistics....

Symmetric Multivariate and Related Distributions

1st Edition

Kai Wang Fang
November 29, 2017

Since the publication of the by now classical Johnson and Kotz Continuous Multivariate Distributions (Wiley, 1972) there have been substantial developments in multivariate distribution theory especially in the area of non-normal symmetric multivariate distributions. The book by Fang, Kotz and Ng...

Tensor Methods in Statistics: Monographs on Statistics and Applied Probability

1st Edition

P. McCullagh
November 29, 2017

This book provides a systematic development of tensor methods in statistics, beginning with the study of multivariate moments and cumulants. The effect on moment arrays and on cumulant arrays of making linear or affine transformations of the variables is studied. Because of their importance in...

Statistical Methods in Psychiatry and Related Fields: Longitudinal, Clustered, and Other Repeated Measures Data

1st Edition

Ralitza Gueorguieva
November 15, 2017

Data collected in psychiatry and related fields are complex because outcomes are rarely directly observed, there are multiple correlated repeated measures within individuals, there is natural heterogeneity in treatment responses and in other characteristics in the populations. Simple statistical...

Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS

1st Edition

Kris Bogaerts, Arnost Komarek, Emmanuel Lesaffre
November 14, 2017

Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS provides the reader with a practical introduction into the analysis of interval-censored survival times. Although many theoretical developments have appeared in the last fifty years, interval...

Multilevel Modeling Using R

1st Edition

W. Holmes Finch
November 13, 2017

A powerful tool for analyzing nested designs in a variety of fields, multilevel/hierarchical modeling allows researchers to account for data collected at multiple levels. Multilevel Modeling Using R provides you with a helpful guide to conducting multilevel data modeling using the R software...

Handbook of Quantile Regression

1st Edition

Roger Koenker, Victor Chernozhukov, Xuming He, Limin Peng
October 25, 2017

Quantile regression constitutes an ensemble of statistical techniques intended to estimate and draw inferences about conditional quantile functions. Median regression, as introduced in the 18th century by Boscovich and Laplace, is a special case. In contrast to conventional mean regression that...

Nonparametric Statistical Tests: A Computational Approach

1st Edition

Markus Neuhauser
October 23, 2017

Nonparametric Statistical Tests: A Computational Approach describes classical nonparametric tests, as well as novel and little-known methods such as the Baumgartner-Weiss-Schindler and the Cucconi tests. The book presents SAS and R programs, allowing readers to carry out the different statistical...

An R Companion to Linear Statistical Models

1st Edition

Christopher Hay-Jahans
October 18, 2017

Focusing on user-developed programming, An R Companion to Linear Statistical Models serves two audiences: those who are familiar with the theory and applications of linear statistical models and wish to learn or enhance their skills in R; and those who are enrolled in an R-based course on...