Vous voulez voir cette page en français ? Cliquez ici.


or
Sign in to turn on 1-Click ordering.
More Buying Choices
Have one to sell? Sell yours here
SAS for Mixed Models
 
 

SAS for Mixed Models [Paperback]

Ramon C. Littell , George A., PH.D. Milliken , Walter W., PH.D. Stroup

List Price: CDN$ 91.71
Price: CDN$ 89.78 & this item ships for FREE with Super Saver Shipping. Details
You Save: CDN$ 1.93 (2%)
o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o
Usually ships within 1 to 2 months.
Ships from and sold by Amazon.ca. Gift-wrap available.

Frequently Bought Together

Customers buy this book with Categorical Data Analysis Using the SAS System CDN$ 67.93

SAS for Mixed Models + Categorical Data Analysis Using the SAS System
Price For Both: CDN$ 157.71

One of these items ships sooner than the other. Show details

  • This item: SAS for Mixed Models

    Usually ships within 1 to 2 months.
    Ships from and sold by Amazon.ca.
    This item ships for FREE with Super Saver Shipping. Details

  • Categorical Data Analysis Using the SAS System

    In Stock.
    Ships from and sold by Amazon.ca.
    This item ships for FREE with Super Saver Shipping. Details


Product Details


Product Description

Book Description

The indispensable, up-to-date guide to mixed models using SAS®. Discover the latest capabilities available for a variety of applications featuring the MIXED, GLIMMIX, and NLMIXED procedures in this valuable edition of the comprehensive mixed models guide for data analysis, completely revised and updated for SAS®9. The theory underlying the models, the forms of the models for various applications, and a wealth of examples from different fields of study are integrated in the discussions of these models:
random effect only and random coefficients models
split-plot, multilocation, and repeated measures models
hierarchical models with nested random effects
analysis of covariance models
spatial correlation models
generalized linear mixed models
nonlinear mixed models

Inside This Book (Learn More)
First Sentence
Data sets presented in this book come from three types of sources: (1) designed experiments, (2) sample surveys, and (3) observational studies. Read the first page
Explore More
Concordance
Browse Sample Pages
Front Cover | Copyright | Table of Contents | Excerpt | Index
Search inside this book:

Tag this product

 (What's this?)
Think of a tag as a keyword or label you consider is strongly related to this product.
Tags will help all customers organize and find favorite items.
Your tags: Add your first tag
 

Customer Reviews

There are no customer reviews yet on Amazon.ca
5 star:    (0)
4 star:    (0)
3 star:    (0)
2 star:    (0)
1 star:    (0)
 
 
 
Share your experience with this product with others
Create your own review
Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com: 4.8 out of 5 stars (8 customer reviews)

1 of 1 people found the following review helpful
4.0 out of 5 stars Excellent for use and reference., Jun 17 2009
By Randall S. Collica - Published on Amazon.com
Amazon Verified Purchase(What's this?)
This review is from: SAS for Mixed Models (Paperback)
This book is excellent for showing the basic theory and practical examples of mixed models and how they can be easily implemented using SAS. I think there should have been a chapter on other non-statistical issues concerning how models can be implemented, such as scoring new observations with a mixed-effects regression model, or data preparation for these models, etc. Other than that, it is an excellent book and use it when the need for mixed-models arises in workplace.

7 of 11 people found the following review helpful
5.0 out of 5 stars A neccesary book for mixed model analysis, May 18 2007
By Felipe Crecente Campo - Published on Amazon.com
This review is from: SAS for Mixed Models (Paperback)
I am a Ph.D. student, and I work with longitudinal and hierarchical data. I bought this book recently and I have only had a look at it. I like it very much. This book presents mixed model methodology in the setting of numerous applications and many examples are included from several applications areas. It is a useful book even to people with no muck knowledge of analysis of variance an regression analysis. You do not need to read the book from cover to cover. This book is certainly applied.

0 of 1 people found the following review helpful
5.0 out of 5 stars good, Jan 17 2012
By OD24 - Published on Amazon.com
Amazon Verified Purchase(What's this?)
This review is from: SAS for Mixed Models (Paperback)
The book looks new and disc is usable. Shipped fast.It's on time. I am very satisfied about the condition of the book.
 Go to Amazon.com to see all 8 reviews  4.8 out of 5 stars 

Listmania!

Create a Listmania! list

Look for similar items by category


Look for similar items by subject


Feedback


Amazon.ca Privacy Statement Amazon.ca Shipping Information Amazon.ca Returns & Exchanges