000			01817nam a22002417a 4500
003			OSt
005			20220323151050.0
008			130110b xxu||||| |||| 00| 0 eng d
020			_a052100618x
020			_a052180356x
040			_ctshering
082			_a519.28 WIL
100			_aWilliams, David.
245			_aWeighing the odds : _ba course in probability and statistics / _cDavid Williams
260			_aNew York : _bCambridge university press, _c2001.
300			_axvii, 547 p. : _bill. ; _c24.5 cm.
504			_aIncludes bibliography and index.
520			_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
650			_aProbabilities.
650			_a Mathematical statistics.
650			_aProbability
942			_2ddc _cBK
999			_c6613 _d6613