Weighing the Odds: A Course in Probability and Statistics

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9780521006187: Weighing the Odds: A Course in Probability and Statistics

Statistics do not lie, nor is probability paradoxical. You just have to have the right intuition. In this lively look at both subjects, David Williams convinces mathematics students of the intrinsic interest of Statistics and Probability, and Statistics students that the language of mathematics can bring real insight and clarity to their subject. He helps students build the intuition needed, in a presentation enriched with examples drawn from all manner of applications, e.g., genetics, filtering, the Black-Scholes option-pricing formula, quantum probability and computing, and classical and modern statistical models. Statistics chapters present both the Frequentist and Bayesian approaches, emphasising Confidence Intervals rather than Hypothesis Test, and include Gibbs-sampling techniques for the practical implementation of Bayesian methods. A central chapter gives the theory of Linear Regression and ANOVA, and explains how MCMC methods allow greater flexibility in modelling. C or WinBUGS code is provided for computational examples and simulations. Many exercises are included; hints or solutions are often provided.

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Recensione:

'David Williams is a very distinguished mathematician with an enthusiasm for the subject which lights up the book. The book should be read, and the contents pondered on, by everyone who teaches 'second courses' on probability or statistics in a mathematics degree; any good student on such courses would surely be excited by the book.' LTSN Newsletter

'In the Preface the author warns that the book has many unusual features: this is why the book is so interesting. The book is a rich and enjoyable source of ideas, motivations and examples, which can be used by teachers of probability and statistics.' EMS

'David Williams, an author well known in the probabilists' community, has written several books which have had an important influence from the moment they were published. In summary, while progressing through the book, the reader evolves from elementary questions of heads and tails toward a global vision of probability and statistics, with the author vowing to reconcile these two domains, which have separated, then divorced. It is a goldmine of information in both domains. Bravo, David, for this new tour de force! Many readers will be looking forward to your next volume, but this should not distract you from l'art d'etre grand-père, especially in the bicentennial year of Victor Hugo.' The Mathematical Intelligencer

'I think this is a must-read book for all who will eventually work and teach in probability or statistics because it affords an enjoyable, accessible, and important perspective about their interrelationships.' Computing in Science & Engineering

'… the book?s unusual approach and entertaining style results in an introduction to statistics which is unusually accessible to an applied mathematics audience … a very readable book, from which I learned a great deal and into which I have been continuously dipping since I finished it. I would recommend it to anyone, from final year undergraduate, to an established researcher in nonlinear science. They might be surprised how interesting statistics can be, and perhaps respond more positively next time they are asked to fit data to a model.' Nonlinear Science News

Descrizione del libro:

A lively book enriched with examples drawn from all manner of applications. Statistics chapters present both the Frequentist and Bayesian approaches, emphasising Confidence Intervals rather than Hypothesis Tests. C or WinBUGS code is provided for computational examples and simulations. Many exercises are included; hints or solutions are often provided.

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David Williams
Editore: CAMBRIDGE UNIVERSITY PRESS, United Kingdom (2010)
ISBN 10: 052100618X ISBN 13: 9780521006187
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Descrizione libro CAMBRIDGE UNIVERSITY PRESS, United Kingdom, 2010. Paperback. Condizione libro: New. 242 x 174 mm. Language: English . Brand New Book ***** Print on Demand *****.Statistics do not lie, nor is probability paradoxical. You just have to have the right intuition. In this lively look at both subjects, David Williams convinces mathematics students of the intrinsic interest of statistics and probability, and statistics students that the language of mathematics can bring real insight and clarity to their subject. He helps students build the intuition needed, in a presentation enriched with examples drawn from all manner of applications, e.g., genetics, filtering, the Black-Scholes option-pricing formula, quantum probability and computing, and classical and modern statistical models. Statistics chapters present both the Frequentist and Bayesian approaches, emphasising Confidence Intervals rather than Hypothesis Test, and include Gibbs-sampling techniques for the practical implementation of Bayesian methods. A central chapter gives the theory of Linear Regression and ANOVA, and explains how MCMC methods allow greater flexibility in modelling. C or WinBUGS code is provided for computational examples and simulations. Many exercises are included; hints or solutions are often provided. Codice libro della libreria AAV9780521006187

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Descrizione libro Cambridge University Press. Paperback. Condizione libro: new. BRAND NEW PRINT ON DEMAND., Weighing the Odds: A Course in Probability and Statistics, David Williams, Statistics do not lie, nor is probability paradoxical. You just have to have the right intuition. In this lively look at both subjects, David Williams convinces mathematics students of the intrinsic interest of statistics and probability, and statistics students that the language of mathematics can bring real insight and clarity to their subject. He helps students build the intuition needed, in a presentation enriched with examples drawn from all manner of applications, e.g., genetics, filtering, the Black-Scholes option-pricing formula, quantum probability and computing, and classical and modern statistical models. Statistics chapters present both the Frequentist and Bayesian approaches, emphasising Confidence Intervals rather than Hypothesis Test, and include Gibbs-sampling techniques for the practical implementation of Bayesian methods. A central chapter gives the theory of Linear Regression and ANOVA, and explains how MCMC methods allow greater flexibility in modelling. C or WinBUGS code is provided for computational examples and simulations. Many exercises are included; hints or solutions are often provided. Codice libro della libreria B9780521006187

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Descrizione libro Cambridge University Press, 2001. PAP. Condizione libro: New. New Book. Delivered from our UK warehouse in 3 to 5 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice libro della libreria LQ-9780521006187

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David Williams
Editore: CAMBRIDGE UNIVERSITY PRESS, United Kingdom (2010)
ISBN 10: 052100618X ISBN 13: 9780521006187
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Descrizione libro CAMBRIDGE UNIVERSITY PRESS, United Kingdom, 2010. Paperback. Condizione libro: New. 242 x 174 mm. Language: English . Brand New Book ***** Print on Demand *****. Statistics do not lie, nor is probability paradoxical. You just have to have the right intuition. In this lively look at both subjects, David Williams convinces mathematics students of the intrinsic interest of statistics and probability, and statistics students that the language of mathematics can bring real insight and clarity to their subject. He helps students build the intuition needed, in a presentation enriched with examples drawn from all manner of applications, e.g., genetics, filtering, the Black-Scholes option-pricing formula, quantum probability and computing, and classical and modern statistical models. Statistics chapters present both the Frequentist and Bayesian approaches, emphasising Confidence Intervals rather than Hypothesis Test, and include Gibbs-sampling techniques for the practical implementation of Bayesian methods. A central chapter gives the theory of Linear Regression and ANOVA, and explains how MCMC methods allow greater flexibility in modelling. C or WinBUGS code is provided for computational examples and simulations. Many exercises are included; hints or solutions are often provided. Codice libro della libreria AAV9780521006187

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Descrizione libro Cambridge University Press 2001-09-24, 2001. Paperback. Condizione libro: New. 1. 052100618X. Codice libro della libreria 715324

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Descrizione libro Cambridge University Press, 2016. Paperback. Condizione libro: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Codice libro della libreria ria9780521006187_lsuk

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Descrizione libro 2001. Paperback. Condizione libro: NEW. 9780521006187 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Codice libro della libreria HTANDREE0439875

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Descrizione libro Cambridge Univ Pr, 2001. Paperback. Condizione libro: Brand New. 1st edition. 547 pages. 10.00x7.00x1.00 inches. In Stock. Codice libro della libreria __052100618X

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Descrizione libro Cambridge University Press, 2001. PAP. Condizione libro: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice libro della libreria I2-9780521006187

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Descrizione libro Cambridge University Press. Condizione libro: New. pp. 566 , 45 Figures This item is printed on Demand. Codice libro della libreria 7794631

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