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The study of earthquakes is a multidisciplinary field, an amalgam of geodynamics, mathematics, engineering and more. The overriding commonality bet...

This book presents the methodology and applications of a range of important topics in statistics, and is designed for graduate students in Statisti...

This book is suitable to be used as a text in introducing graduate courses or advanced undergraduate courses on the equilibrium statistical mechani...

Unlike most other texts on the subject, this clear, concise introduction to the theory of microscopic bodies treats the modern theory of critical p...

Statistical Mechanics reflects the latest techniques and developments in statistical mechanics. Covering a variety of concepts and topics - molecul...

A comprehensive look at learning and generalization theory. The statistical theory of learning and generalization concerns the problem of choosing ...

Decision making in all spheres of activity involves uncertainty. If rational decisions have to be made, they have to be based on the past observati...

With an emphasis on finding solutions to common problems in chemistry, topics covered include: The Maxwell-Boltzmann velocity distribution for mole...

There is more statistical data produced in today’s modern society than ever before. This data is analysed and cross-referenced for innumerable reas...

A concise, easily accessible introduction to descriptive and inferential techniques Statistical Inference: A Short Course offers a concise presenta...

Describes statistical intervals to quantify sampling uncertainty,focusing on key application needs and recently developed methodology in an easy-to...

Master advanced topics in the analysis of large, dynamically dependent datasets with this insightful resource Statistical Learning with Big Depende...

Statistical Issues in Drug Development The revised third edition of Statistical Issues in Drug Development delivers an insightful treatment of the ...

A comprehensive guide to statistical hypothesis testing with examples in SAS and R When analyzing datasets the following questions often arise: Is...

Clearly written and free of statistical jargon, this invaluableguide concentrates on the practicalities of statistical analysisfor anyone involved ...

Piecewise-deterministic Markov processes form a class of stochastic models with a sizeable scope of applications: biology, insurance, neuroscience,...

Features a broad introduction to recent research on Turing’s formula and presents modern applications in statistics, probability, information theor...

An incomparably useful examination of statistical methods for comparison The nature of doing science, be it natural or social, inevitably calls for...

This book summarizes the results of various models under normal theory with a brief review of the literature. Statistical Inference for Models with...

The statistical methods used to evaluate and compare different methods of measurement are a vital common component of all methods of scientific res...

A new edition of the trusted guide on commonly used statistical distributions Fully updated to reflect the latest developments on the topic, Stati...

With increasing rates of pollution to both land and aquatic environments, regulations for the quality of our waters are necessarily becoming more s...

Statistical Factor Analysis and Related Methods Theory andApplications In bridging the gap between the mathematical andstatistical theory of factor...