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"an ideal source for all students and researchers in statistics mathematics, decision analysis, economic and business studies and all branches of science and engineering who wish to further their understanding of Bayesian statistics." (Zentralblatt Fur Didaktik der Mathematik)
"...Bayesians will find it indispensable: non–Bayesians will find, and enjoy, much thought–provoking material to challenge their orthodoxy...." (The Statistician, Vol.51, No.2, 2002)
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Description du livre Etat : New. N° de réf. du vendeur 33145-n
Description du livre Paperback. Etat : new. Paperback. This highly acclaimed text, now available in paperback, provides a thorough account of key concepts and theoretical results, with particular emphasis on viewing statistical inference as a special case of decision theory. Information-theoretic concepts play a central role in the development of the theory, which provides, in particular, a detailed discussion of the problem of specification of so-called prior ignorance . The work is written from the authors s committed Bayesian perspective, but an overview of non-Bayesian theories is also provided, and each chapter contains a wide-ranging critical re-examination of controversial issues. The level of mathematics used is such that most material is accessible to readers with knowledge of advanced calculus. In particular, no knowledge of abstract measure theory is assumed, and the emphasis throughout is on statistical concepts rather than rigorous mathematics. The book will be an ideal source for all students and researchers in statistics, mathematics, decision analysis, economic and business studies, and all branches of science and engineering, who wish to further their understanding of Bayesian statistics A controversial philosophical approach to statistics following the work of Rev Thomas Bayes (1701). To solve a problem or to make a decision, the Bayesian collects data from all possible theories and assigns a probability to them. This generates a prior distribution from which, workable parameters are determined and complex calculations are made. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9780471494645
Description du livre Etat : New. New. In shrink wrap. Looks like an interesting title! 1.82. N° de réf. du vendeur Q-047149464X
Description du livre paperback. Etat : New. Language: ENG. N° de réf. du vendeur 9780471494645
Description du livre Etat : new. N° de réf. du vendeur 2668767967bff7b92931b86529c86bd4
Description du livre Etat : New. N° de réf. du vendeur 33145-n
Description du livre Etat : New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. N° de réf. du vendeur ria9780471494645_lsuk
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Description du livre Soft Cover. Etat : new. This item is printed on demand. N° de réf. du vendeur 9780471494645
Description du livre Paperback / softback. Etat : New. New copy - Usually dispatched within 4 working days. A controversial philosophical approach to statistics following the work of Rev Thomas Bayes (1701). To solve a problem or to make a decision, the Bayesian collects data from all possible theories and assigns a probability to them. This generates a prior distribution from which, workable parameters are determined and complex calculations are made. N° de réf. du vendeur B9780471494645