A Primer on Linear Models (Chapman & Hall/CRC Texts in Statistical Science) - Image 1

£165.85

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

Name: A Primer on Linear Models (Chapman & Hall/CRC Texts in Statistical Science)
Brand: CRC Press
Price: 165.85 GBP
Availability: InStock

Probability & Statistics

Same price for 5 weeks. Today is much like next week.

£166 for 33 days straight · last change was Dec 2025

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 584 days • 584 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 584 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £157 (325 days, 55.7%)

Price range: £157 - £166

Price levels: 2 different prices over 584 days

Description

A Primer on Linear Models presents a unified, thorough, and rigorous development of the theory behind the statistical methodology of regression and analysis of variance (ANOVA). It seamlessly incorporates these concepts using non-full-rank design matrices and emphasizes the exact, finite sample theory supporting common statistical methods. With coverage steadily progressing in complexity, the text first provides examples of the general linear model, including multiple regression models, one-way ANOVA, mixed-effects models, and time series models. It then introduces the basic algebra and geometry of the linear least squares problem, before delving into estimability and the Gauss Markov model. After presenting the statistical tools of hypothesis tests and confidence intervals, the author analyzes mixed models, such as two-way mixed ANOVA, and the multivariate linear model. The appendices review linear algebra fundamentals and results as well as Lagrange multipliers. This book enables complete comprehension of the material by taking a general, unifying approach to the theory, fundamentals, and exact results of linear models. Review "I found the book very helpful. â€¦ the result is very nice, very readable. In particular, I like the idea of avoiding leaps in the development and proofs, or referring to other sources for the details of the proofs. This is a useful well-written instructive book."~International Statistical Review "This work provides a brief, and also complete, foundation for the theory of basic linear models . . . can be used for graduate courses on linear models." ~Nicoleta Breaz, Zentralblatt Math ". . . well written . . . would serve well as the textbook for an introductory course in linear models, or as references for researchers who would like to review the theory of linear models." ~Justine Shults, Journal of Biopharmaceutical Statistics

Product Specifications

Brand: CRC Press
Format: hardcover
ASIN: 113846953X
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Probability & Statistics
Domain: Amazon UK
Release Date: 09 August 2017
Listed Since: 26 July 2017

Barcode

No barcode data available

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

Same price for 5 weeks. Today is much like next week.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Linear Model Theory: Univariate, Multivariate, and Mixed Models (Wiley Series In Probability And Statistics)

Linear Models: The Theory and Application of Analysis of Variance (Wiley Series in Probability and Statistics)

Linear Models in Statistics

Linear Model Methodology

CRC Press Linear Models and Relevant Distributions Text

Linear Models and Design

A First Course in Linear Model Theory (Chapman & Hall/CRC Texts in Statistical Science)

Linear Models with R (Chapman & Hall/CRC Texts in Statistical Science)

Linear Mixed-Effects Models Using R: A Step-by-Step Approach (Springer Texts in Statistics)

Linear Mixed-Effects Models Using R: A Step-by-Step Approach (Springer Texts in Statistics)

Generalized Linear Models With Examples in R (Springer Texts in Statistics)

Richly Parameterized Linear Models: Additive, Time Series, and Spatial Models Using Random Effects (Chapman & Hall/CRC Texts in Statistical Science)

Linear Models for Unbalanced Data (Wiley Series in Probability and Statistics)

Quasi-Least Squares Regression: 132 (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Linear Mixed Models: A Practical Guide Using Statistical Software

Richly Parameterized Linear Models: Additive, Time Series, and Spatial Models Using Random Effects (Chapman & Hall/CRC Texts in Statistical Science)

An Introduction to Regression: First Steps in Statistical Modelling

Flexible Regression and Smoothing: Using GAMLSS in R (Chapman & Hall/CRC The R Series)

Analysis of Variance for Functional Data (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Beyond Multiple Linear Regression: Applied Generalized Linear Models And Multilevel Models in R (Chapman & Hall/CRC Texts in Statistical Science)

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

Linear Models and Generalizations: Least Squares and Alternatives (Springer Series in Statistics)

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

Handbook of Design and Analysis of Experiments (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)