02145aam a2200241 4500008004500000020001800045082001600063100002800079245006200107260004700169300001700216520124500233650002601478650003601504650002301540650003901563650003101602650003301633650004301666942001201709999001901721952016301740171228b2001 xxu||||| |||| 00| 0 eng d a9780521006187 a519.2bW4W3 aWilliams, David9355476 aWeighing the odds: a course in probability and statistics bCambridge University Pressc2010aNew York axvii, 547 p. aStatistics 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.
https://www.cambridge.org/core/books/weighing-the-odds/1108F5B7FBD61ECD46B13368691358C3#fndtn-information aProbabilities9355477 aMathematical statistics9355478 aStatistics9355479 aStatistics and Probability9355480 aProbability theory9355481 aStochastic Processes9355482 aStatistical theory and methods9355483 2ddccBK c207699d207699 00102ddc406519_200000000000000_W4W3708NFIC9350917aVSLbVSLcGENd2018-01-01e12g3915.28l1m3o519.2 W4W3p195756r2019-06-02s2018-04-06v4894.11yBK