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  • (CLARKE, Arthur C., Mario Puzo, Dick Gregory, Phil Ochs)

    Published by Fawcett), (Greenwich, Conn, 1965

    Seller: Between the Covers-Rare Books, Inc. ABAA, Gloucester City, NJ, U.S.A.

    Association Member: ABAA ESA ILAB IOBA

    Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

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    First Edition

    £ 15.61

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    Softcover. Condition: Very Good. First Edition. Magazine. Small quarto. 926pp. Illustrated. Stapled pictorial wrappers. Two pages loose and laid in, mailing label and rubbing on wraps, very good. Contains: "Death-Defying Sports of the Sixties" by Mario Puzo, "Violence is the Voice of the Black Ghetto" by Dick Gregory, "The Speed of God" by Arthur C. Clarke, a profile of Phil Ochs, and more.

  • Seller image for Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach with Mathematica® Support for sale by Bookbot

    Phil C. Gregory

    Language: English

    Published by Cambridge University Press, 2010

    ISBN 10: 0521150124 ISBN 13: 9780521150125

    Seller: Bookbot, Prague, Czech Republic

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    £ 57.48

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    Softcover. Condition: Fair. Anmerkungen / bekritzelt / Stempel; Leichte Kratzer / Abnutzungen / Druckstellen. Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing hypotheses of interest, on the basis of the current state of knowledge. By incorporating relevant prior information, it can sometimes improve model parameter estimates by many orders of magnitude. This book provides a clear exposition of the underlying concepts with many worked examples and problem sets. It also discusses implementation, including an introduction to Markov chain Monte-Carlo integration and linear and nonlinear model fitting. Particularly extensive coverage of spectral analysis (detecting and measuring periodic signals) includes a self-contained introduction to Fourier and discrete Fourier methods. There is a chapter devoted to Bayesian inference with Poisson sampling, and three chapters on frequentist methods help to bridge the gap between the frequentist and Bayesian approaches.