Model Selection and Model Averaging: 27 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 27) - Image 1

£72.04

Cambridge University Press Model Selection and Model Averaging: 27 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 27)

Name: Model Selection and Model Averaging: 27 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 27)
Brand: Cambridge University Press
Price: 72.04 GBP
Availability: InStock

Probability & Statistics

This is the usual price. Wait for it to drop, or tell us your number.

£72 today · usual range £68–£72 · best ever £68

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 83 days · 83 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 83 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £72 (58 days, 69.9%)

Price range: £68 - £72

Price levels: 2 different prices over 83 days

Description

Given a data set, you can fit thousands of models at the push of a button, but how do you choose the best? With so many candidate models, overfitting is a real danger. Is the monkey who typed Hamlet actually a good writer? Choosing a model is central to all statistical work with data. We have seen rapid advances in model fitting and in the theoretical understanding of model selection, yet this book is the first to synthesize research and practice from this active field. Model choice criteria are explained, discussed and compared, including the AIC, BIC, DIC and FIC. The uncertainties involved with model selection are tackled, with discussions of frequentist and Bayesian methods; model averaging schemes are presented. Real-data examples are complemented by derivations providing deeper insight into the methodology, and instructive exercises build familiarity with the methods. The companion website features Data sets and R code.

Product Specifications

Brand: Cambridge University Press
Format: hardcover
ASIN: 0521852250
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Probability & Statistics
Domain: Amazon UK
Release Date: 09 October 2008
Listed Since: 19 October 2006

Barcode

No barcode data available

Cambridge University Press Model Selection and Model Averaging: 27 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 27)

This is the usual price. Wait for it to drop, or tell us your number.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Practical Bayesian Inference: A Primer for Physical Scientists

Modeling Count Data

Essentials of Statistical Inference: 16 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 16)

Bayesian Cognitive Modeling: A Practical Course

Bayesian Methods: An Analysis for Statisticians and Interdisciplinary Researchers: 5 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 5)

Statistical Models: 11 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 11)

Density Ratio Estimation in Machine Learning

Monte Carlo Methods in Bayesian Computation (Springer Series in Statistics)

Simulation-based Inference in Econometrics: Methods and Applications

The Cambridge Dictionary of Statistics

Model Based Parameter Estimation: Theory and Applications: 4 (Contributions in Mathematical and Computational Sciences, 4)

Research Methods and Applied Statistics: A Practical Guide to Conducting Research

Applied Mixed Model Analysis: A Practical Guide (Practical Guides to Biostatistics and Epidemiology)

Bandit Algorithms

Computational and Mathematical Modeling in the Social Sciences

Bayesian Social Science Statistics: Volume 2: Getting Productive (Elements in Quantitative and Computational Methods for the Social Sciences)

Learning Theory: An Approximation Theory Viewpoint: 24 (Cambridge Monographs on Applied and Computational Mathematics, Series Number 24)

Introduction to the Mathematical and Statistical Foundations of Econometrics (Themes in Modern Econometrics)

Probability, Random Processes, and Statistical Analysis: Applications to Communications, Signal Processing, Queueing Theory and Mathematical Finance

A Non-Least Squares Approach to Linear Models

Bayesian Methods in Cosmology

Networks: Probability and Statistics (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 57)

Statistical Modeling and Analysis for Complex Data Problems

Statistical Modeling and Applications: Multivariate, Heavy-Tailed, Skewed Distributions and Mixture Modeling, Volume 2 (Emerging Topics in Statistics and Biostatistics)