Morris H. DeGroot – författare
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3 produkter
3 produkter
2 023 kr
Skickas inom 5-8 vardagar
Describes a wide variety of applications of statistical concepts in legal settings, as well as cases in which statistical analyses were important elements. Several chapters are devoted to employment discrimination and antitrust violation, two areas of litigation that rely heavily on statistics. Contributors discuss the correct choice and use of statistical techniques in the assessment of damages, the measurement and quantification of skill (in a case deciding whether video poker games require skill), the determination of disputed paternity and elections, and other areas where statistics are used in legal cases. Many of the chapters are written by the statisticians who actually participated in the cases under discussion.
1 694 kr
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The Wiley Classics Library consists of selected books that have become recognized classics in their respective fields. With these new unabridged and inexpensive editions, Wiley hopes to extend the life of these important works by making them available to future generations of mathematicians and scientists.
Optimal Statistical Decision & Bayesian Inference in Statistical Analysis & Applied Statistical Decision Theory
Häftad, Engelska, 2006
4 912 kr
Skickas inom 11-20 vardagar
Set that includes three works covering statistical decision theory and analysis The three books within this set are Optimal Statistical Decisions, Bayesian Inference in Statistical Analysis, and Applied Statistical Decision Theory. Optimal Statistical Decisions discusses the theory and methodology of decision-making in the field. The volume stands as a clear introduction to Bayesian statistical decision theory. A second book, Bayesian Inference in Statistical Analysis, examines the application and relevance of Bayes' theorem to problems that occur during scientific investigations, where inferences must be made regarding parameter values about which little is known. Key aspects of the Bayesian approach are discussed, including the choice of prior distribution, the problem of nuisance parameters, and the role of sufficient statistics. Applied Statistical Decision Theory covers the development of analytic techniques in the field of statistical decision theory. This classic book was first published in the 1960s.