Data Analysis and Approximate Models: Model Choice, Location-Scale, Analysis of Variance, Nonparametric Regression and Image Analysis

✍ Scribed by Patrick Laurie Davies (Author)

Publisher: Chapman and Hall/CRC
Year: 2014
Leaves: 318
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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

✦ Table of Contents

Introduction. A Concept of Approximation. Discrete Models. Outliers. The Location-Scale Problem. The Analysis of Variance. Nonparametric Regression: Location. Nonparametric Regression: Scale. Image Analysis. Nonparametric Densities. A Critique of Statistics. Bibliography. Index.

✦ Subjects

Mathematics & Statistics;Statistics & Probability;Probability;Probability Theory & Applications;Statistics;Statistical Theory & Methods

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