Data analysis and approximate models : model choice, location-scale, analysis of variance, nonparametric regression and image analysis için kapak resmi
Başlık:
Data analysis and approximate models : model choice, location-scale, analysis of variance, nonparametric regression and image analysis
Yazar:
Davies, Patrick Laurie, author.
ISBN:
9780429161698
Basım Bilgisi:
First edition.
Fiziksel Tanımlama:
1 online resource (320 pages) : 135 illustrations.
Seri:
Chapman & Hall/CRCmonographs on statistics & applied probability

Chapman & Hall/CRCmonographs on statistics & applied probability.
İçerik:
chapter Title -- chapter 1 Introduction -- chapter 2 A Concept of Approximation -- chapter 3 Discrete Models -- chapter 4 Outliers -- chapter 5 The Location-scale Problem -- chapter 6 The Analysis of Variance -- chapter 7 Non-parametric Regression: Location -- chapter 8 Non-parametric Regression: Scale -- chapter 9 Image Analysis -- chapter 10 Non-parametric Densities -- chapter 11 A Critique of Statistics.
Özet:
The First Detailed Account of Statistical Analysis That Treats Models as Approximations The 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 the "true but unknown" parameter value that generated the data.
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E-Kitap 539117-1001 QA273 .A35
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