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

£90.00

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
Price: 90.0 GBP
Availability: InStock

Probability & Statistics

It has never been this cheap. We have no record of a lower price.

£90 today · cheaper than every other day in the last 24 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 579 days • 579 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 579 days • 1 price levels

Days at Price

Price Analysis

Most common price: £90 (579 days, 100.0%)

Price range: £90 - £90

Price levels: 1 different prices over 579 days

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)

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

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

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

Foundations and Applications of Statistics: An Introduction Using R (Pure and Applied Undergraduate Texts)

Statistical Theory: A Concise Introduction (Chapman & Hall/CRC Texts in Statistical Science)

Statistics Translated, Second Edition: A Step-by-Step Guide to Analyzing and Interpreting Data

ANOVA and Mixed Models: A Short Introduction Using R (Chapman & Hall/CRC The R Series)

Plane Answers to Complex Questions: The Theory of Linear Models (Springer Texts in Statistics)

Analytical Methods in Statistics: AMISTAT, Liberec, Czech Republic, September 2019: 329 (Springer Proceedings in Mathematics & Statistics, 329)

Contributions on Theory of Mathematical Statistics

SOME RECENT ADVANCES IN MATHEMATICS AND STATISTICS - PROCEEDINGS OF STATISTICS 2011 CANADA/IMST 2011-FIM XX

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

Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)

Foundations of Computational Intelligence Volume 5: Function Approximation and Classification: 205 (Studies in Computational Intelligence, 205)

Applied Multivariate Statistical Concepts

Linear Mixed Models: A Practical Guide Using Statistical Software

Modern Applied U-Statistics (Wiley Series in Probability and Statistics)

Statistics And Experimental Design For Psychologists: A Model Comparison Approach

Inferential Models: Reasoning with Uncertainty (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse (Chapman & Hall/CRC The R Series)

Deep-Learning-Assisted Statistical Methods with Examples in R (Chapman & Hall/CRC Data Science Series)

Nonparametric Statistics for Applied Research

Discovering Statistics Using R

Evidence-Based Statistics: An Introduction to the Evidential Approach - from Likelihood Principle to Statistical Practice

Introduction to Linear Models and Statistical Inference