Data Analysis and Approximate Models: Model Choice, Location-Scale, Analysis of Variance, Nonparametric Regression and Image Analysis: 133 (Chapman & ... on Statistics and Applied Probability) - Image 1

Price loading...

CRC Press Data Analysis and Approximate Models: Model Choice, Location-Scale, Analysis of Variance, Nonparametric Regression and Image Analysis: 133 (Chapman & ... on Statistics and Applied Probability)

Name: Data Analysis and Approximate Models: Model Choice, Location-Scale, Analysis of Variance, Nonparametric Regression and Image Analysis: 133 (Chapman & ... on Statistics and Applied Probability)
Brand: CRC Press

Probability & Statistics

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

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. 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 data Location scale Analysis of variance (ANOVA) Nonparametric regression, image analysis, and densities Time series Model choice The 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 Kullback–Leibler 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.

Product Specifications

Brand: CRC Press
Format: Hardcover
ASIN: 1482215861
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Probability & Statistics
Domain: Amazon UK
Release Date: 07 July 2014
Listed Since: 08 January 2014

Barcode

No barcode data available

CRC Press Data Analysis and Approximate Models: Model Choice, Location-Scale, Analysis of Variance, Nonparametric Regression and Image Analysis: 133 (Chapman & ... on Statistics and Applied Probability)

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Local Polynomial Modelling and Its Applications: Monographs on Statistics and Applied Probability 66 (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Mathematical Statistics (Chapman & Hall/CRC Texts in Statistical Science)

Maximum Likelihood Estimation for Sample Surveys: 125 (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

A Contingency Table Approach to Nonparametric Testing

Statistical Methods for Spatial Data Analysis: Texts in Statistical Science (Chapman & Hall/CRC Texts in Statistical Science)

Handbook of Approximate Bayesian Computation (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)

Data Analytics: A Small Data Approach (Chapman & Hall/CRC Data Science Series)

Modeling and Inverse Problems in the Presence of Uncertainty (Chapman & Hall/CRC Monographs and Research Notes in Mathematics)

Theory of Statistical Inference (Chapman & Hall/CRC Texts in Statistical Science)

A Primer on Linear Models (Chapman & Hall/CRC Texts in Statistical Science)

Empirical Likelihood - Chapman and Hall/CRC Monographs

Handbook of Discrete-Valued Time Series: Handbooks of Modern Statistical Methods (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)

Antedependence Models for Longitudinal Data (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

A Primer on Linear Models (Chapman & Hall/CRC Texts in Statistical Science)

Theory of Statistical Inference (Chapman & Hall/CRC Texts in Statistical Science)

Antedependence Models for Longitudinal Data - CRC Press

Exact Analysis of Discrete Data

Modern Applied Regressions: Bayesian and Frequentist Analysis of Categorical and Limited Response Variables with R and Stan (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Statistical Inference: The Minimum Distance Approach: 120 (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Handbook of Approximate Bayesian Computation (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)

Understanding Advanced Statistical Methods (Chapman & Hall/CRC Texts in Statistical Science)

Applied Survey Data Analysis (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Measurement Error: Models, Methods, and Applications (Chapman & Hall/CRC Interdisciplinary Statistics)

Computational Business Analytics (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)