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Data Analysis And Approximate Models
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ISBN 9781482215878
REGISTERED: 09/19/18
UPDATED: 09/19/18
Data Analysis And Approximate Models

The First Detailed Account of Statistical Analysis That Treats Models as ApproximationsThe idea of truth plays a role in both Bayesian and frequentist statistics


Specifications
  • Data Analysis And Approximate Models available on April 18 2017 from VitalSource for Https://www.vitalsource.com/en-uk/textbooks?term=9781482215878&duration=90&cjsku=9781482215878R90" itemprop="offers" target="_external" title="" itemscope itemtype="http://schema.org/Offer">26.8
  • ISBN bar code 9781482215878 ξ1 registered April 18 2017
  • Product category is Book

  • # 9781482215878R90

The Bayesian concept of coherence is based on the fact that two different models or parameter values cannot both be true. Frequentist statistics is formulated as the problem of estimating the "true but unknown" parameter value that generated the data.Forgoing any concept of truth, Data Analysis and Approximate Models: Model Choice, Location-Scale, Analysis of Variance, Nonparametric Regression and Image Analysis presents statistical analysis/inference based on approximate models. Developed by the author, this approach consistently treats models as approximations to data, not to some underlying truth.The author develops a concept of approximation for probability models with applications to:Discrete dataLocation scaleAnalysis of variance (ANOVA)Nonparametric regression, image analysis, and densitiesTime seriesModel choiceThe book first highlights problems with concepts such as likelihood and efficiency and covers the definition of approximation and its consequences. A chapter on discrete data then presents the total variation metric as well as the KullbackÔÇôLeibler and chi-squared discrepancies as measures of fit. After focusing on outliers, the book discusses the location-scale problem, including approximation intervals, and gives a new treatment of higher-way ANOVA. The next several chapters describe novel procedures of nonparametric regression based on approximation. The final chapter assesses a range of statistical topics, from the likelihood principle to asymptotics and model choice.


References
    ^ Data Analysis And Approximate Models VitalSource. (revised Apr 2017)

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