SalePaperback
Primate Behavioral Ecology, 5th Edn
₹1,095 ₹930
Save: 15%
Principles Of Behavior, 7th Edn
₹1,595 ₹1,355
Save: 15%
Primer On Linear Models
Publisher:
Taylor & Francis India
| Author:
John F. Monahan
| Language:
English
| Format:
Paperback
Publisher:
Taylor & Francis India
Author:
John F. Monahan
Language:
English
Format:
Paperback
₹1,995 ₹1,695
Save: 15%
In stock
Ships within:
3-5 Days
In stock
ISBN:
SKU
9780367241889
Category Engineering
Category: Engineering
Page Extent:
304
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.
Be the first to review “Primer On Linear Models” Cancel reply
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.
About Author
Reviews
There are no reviews yet.
Be the first to review “Primer On Linear Models” Cancel reply
[wt-related-products product_id="test001"]
Related products
RELATED PRODUCTS
Basic Electrical And Electronics Engineering, 2ed | New
Save: 10%
Basic Electronics Communication And Information Engineering
Save: 10%
Reviews
There are no reviews yet.