Probability & Statistics

There exist literary histories of probability and scientific histories of probability, but it has generally been thought that the two did not meet....

Both practical and easy to read, Rubin's STATISTICS FOR EVIDENCE-BASED PRACTICE AND EVALUATION provides you with a step-by-step guide that will hel...

There exist literary histories of probability and scientific histories of probability, but it has generally been thought that the two did not meet....

Probability comes of age with this, the first dictionary of probability and its applications in English, which supplies a guide to the concepts and...

In most modern biomedical research projects, application of high-throughput genomic, proteomic, and transcriptomic experiments has gradually become...

Meta-analysis allows researchers to combine the results of several studies into a unified analysis that provides an overall estimate of the effect ...

Many economic theories depend on the presence or absence of a unit root for their validity, and econometric and statistical theory undergo consider...

In Measuring and Reasoning, Fred L. Bookstein examines the way ordinary arithmetic and numerical patterns are translated into scientific understand...

Providing a novel approach to sparsity, this comprehensive book presents the theory of stochastic processes that are ruled by linear stochastic dif...

Written for animal researchers, this book provides a comprehensive guide to the design and statistical analysis of animal experiments. It has long ...

Originating from the authors' own graduate course at the University of North Carolina, this material has been thoroughly tried and tested over many...

'Big data' poses challenges that require both classical multivariate methods and contemporary techniques from machine learning and engineering. Thi...

A Waterstones Best Popular Science Book of 2023'Delightfully clear and vivid to read...A splendid book! Philip Pullman'Absolutely fascinating' Jame...

Provides a modern mathematical approach to the design of communication networks for graduate students, blending control, optimization, and stochast...

Recent decades have brought advances in statistical theory for missing data, which, combined with advances in computing ability, have allowed imple...

This fundamental monograph introduces both the probabilistic and algebraic aspects of information theory and coding. It has evolved from the author...

From Measures to Itô Integrals gives a clear account of measure theory, leading via L2-theory to Brownian motion, Itô integrals and a brief look at...

This book addresses the underlying foundational elements, both theoretical and methodological, of sponsored search. As such, the contents are less ...

Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industr...

Seismic Risk Analysis of Nuclear Power Plants addresses the needs of graduate students in engineering, practicing engineers in industry, and regula...

Econophysics has been used to study a range of economic and financial systems. This book uses the econophysical perspective to focus on the income ...

It is increasingly common for analysts to seek out the opinions of individuals and organizations using attitudinal scales such as degree of satisfa...

It is increasingly common for analysts to seek out the opinions of individuals and organizations using attitudinal scales such as degree of satisfa...

Quantitative genetics is the study of continuously varying traits which make up the majority of biological attributes of evolutionary and commercia...