๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Data analysis and approximate models: model choice, location-scale, analysis of variance, nonparametic regression and image analysis

โœ Scribed by Davies, Patrick Laurie


Publisher
Chapman & Hall/CRC
Year
2014
Tongue
English
Leaves
318
Series
Chapman & Hall/CRC Monographs on Statistics & Applied Probability
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Synopsis


Front Cover; Contents; Preface; Data Analysis and Approximate Models: Model Choice, Location-Scale, Analysis of Variance, Nonparametric Regression and Image Analysis; 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; Bibliography.;"This book presents a philosophical study of statistics via the concept of data approximation. Developed by the well-regarded author, this approach discusses how analysis must take into account that models are, at best, an approximation of real data. It is, therefore, closely related to robust statistics and nonparametric statistics and can be used to study nearly any statistical technique. The book also includes an interesting discussion of the frequentist versus Bayesian debate in statistics."--

โœฆ Table of Contents


Front Cover......Page 1
Contents......Page 8
Preface......Page 14
Data Analysis and Approximate Models: Model Choice, Location-Scale, Analysis of Variance, Nonparametric Regression and Image Analysis......Page 18
Chapter 1: Introduction......Page 20
Chapter 2: A Concept of Approximation......Page 42
Chapter 3: Discrete Models......Page 82
Chapter 4: Outliers......Page 104
Chapter 5: The Location-scale Problem......Page 116
Chapter 6: The Analysis of Variance......Page 152
Chapter 7: Non-parametric Regression: Location......Page 186
Chapter 8: Non-parametric Regression: Scale......Page 232
Chapter 9: Image Analysis......Page 256
Chapter 10: Non-parametric Densities......Page 266
Chapter 11: A Critique of Statistics......Page 276
Bibliography......Page 304

โœฆ Subjects


Approximation theory;MATHEMATICS--Applied;MATHEMATICS--Probability & Statistics--General;Probabilities--Philosophy;Electronic books;Probabilities -- Philosophy;MATHEMATICS -- Applied;MATHEMATICS -- Probability & Statistics -- General


๐Ÿ“œ SIMILAR VOLUMES


Data analysis and approximate models : m
โœ Patrick Laurie Davies ๐Ÿ“‚ Library ๐Ÿ“… 2014 ๐Ÿ› CRC Press ๐ŸŒ English

"This book presents a philosophical study of statistics via the concept of data approximation. Developed by the well-regarded author, this approach discusses how analysis must take into account that models are, at best, an approximation of real data. It is, therefore, closely related to robust stati

Data Analysis and Approximate Models: Mo
โœ Patrick Laurie Davies (Author) ๐Ÿ“‚ Library ๐Ÿ“… 2014 ๐Ÿ› Chapman and Hall/CRC

<p>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

Approximate Deconvolution Models of Turb
โœ William J. Layton, Leo Rebholz (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2012 ๐Ÿ› Springer-Verlag Berlin Heidelberg ๐ŸŒ English

<p>This volume presents a mathematical development of a recent approach to the modeling and simulation of turbulent flows based on methods for the approximate solution of inverse problems. The resulting Approximate Deconvolution Models or ADMs have some advantages over more commonly used turbulence