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9780521006187
519.2
W4W3
Williams, David
355476
Weighing the odds: a course in probability and statistics
Cambridge University Press
2010
New York
xvii, 547 p.
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.
https://www.cambridge.org/core/books/weighing-the-odds/1108F5B7FBD61ECD46B13368691358C3#fndtn-information
Probabilities
355477
Mathematical statistics
355478
Statistics
355479
Statistics and Probability
355480
Probability theory
355481
Stochastic Processes
355482
Statistical theory and methods
355483
ddc
BK
207699
207699
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0
ddc
0
519_200000000000000_W4W3
0
NFIC
350917
VSL
VSL
GEN
2018-01-01
12
3915.28
1
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519.2 W4W3
195756
2019-06-02
2018-04-06
4894.11
BK