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  • 1
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    Bayesian Methods for Statistical Analysis (2015)
    Acton, Australia : ANU Press
    Details
    Keywords: Mathematics ; Probability ; Statistics ; Bayesian inference
    Description / Table of Contents: Bayesian methods for statistical analysis is a book on statistical methods for analysing a wide variety of data. The book consists of 12 chapters, starting with basic concepts and covering numerous topics, including Bayesian estimation, decision theory, prediction, hypothesis testing, hierarchical models, Markov chain Monte Carlo methods, finite population inference, biased sampling and nonignorable nonresponse. The book contains many exercises, all with worked solutions, including complete computer code. It is suitable for self-study or a semester-long course, with three hours of lectures and one tutorial per week for 13 weeks.
    Pages: Online-Ressource (XVII, 679 Seiten)
    ISBN: 9781921934261
    URL: http://press.anu.edu.au/node/1652
    Language: English
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    E-BOOK
  • 2
    Electronic Resource
    Electronic Resource
    The Monty Hall Three Doors Problem (2005)
    Oxford, UK : Blackwell Publishing, Ltd.
    Teaching statistics 27 (2005), S. 0 
    Details
    ISSN: 1467-9639
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Mathematics
    Notes: In this article, we study the Monty Hall three doors problem. A fully general solution and several new approaches are presented, including a Bayesian analysis.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/j.1467-9639.2005.00190.x
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    Paper (German National Licenses)
    Fulltext
  • 3
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    Constrained confidence intervals in time series studies of mortality and air pollution (2011)
    Elsevier
    Details
    Publication Date: 2011-01-01
    Print ISSN: 0160-4120
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by Elsevier
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    PAPER CURRENT
  • 4
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    Bayesian Methods for Statistical Analysis (2021)
    ANU Press
    Details
    Publication Date: 2024-04-04
    Description: Bayesian methods for statistical analysis is a book on statistical methods for analysing a wide variety of data. The book consists of 12 chapters, starting with basic concepts and covering numerous topics, including Bayesian estimation, decision theory, prediction, hypothesis testing, hierarchical models, Markov chain Monte Carlo methods, finite population inference, biased sampling and nonignorable nonresponse. The book contains many exercises, all with worked solutions, including complete computer code. It is suitable for self-study or a semester-long course, with three hours of lectures and one tutorial per week for 13 weeks.
    Keywords: statistics ; mathematics ; bayesian inference ; probability ; Algorithm ; Confidence interval ; Histogram ; Monte Carlo method ; Posterior probability ; Sampling (statistics) ; WinBUGS ; thema EDItEUR::P Mathematics and Science::PB Mathematics ; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics ; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics::PBTB Bayesian inference
    Language: English
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    E-BOOK
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