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Applied Multivariate Data Analysis by Everitt

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Notas del vendedor
“Used book in good condition. Shows typical wear. Quick shipping. Satisfaction guaranteed!”
Book Title
Applied Multivariate Data Analysis
Topic
Econometrics & Statistics
Narrative Type
Econometrics & Statistics
Genre
N/A
Intended Audience
N/A
ISBN
9780340741221

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Product Identifiers

Publisher
Hachette Learning
ISBN-10
0340741228
ISBN-13
9780340741221
eBay Product ID (ePID)
790475

Product Key Features

Number of Pages
352 Pages
Language
English
Publication Name
Applied Multivariate Data Analysis
Subject
Probability & Statistics / Multivariate Analysis, Endocrinology & Metabolism, Econometrics
Publication Year
2001
Type
Textbook
Subject Area
Mathematics, Business & Economics, Medical
Author
Brian S. Everitt, Graham Dunn
Format
Trade Paperback

Dimensions

Item Height
0.9 in
Item Weight
19 Oz
Item Length
5.8 in
Item Width
8.9 in

Additional Product Features

Edition Number
2
Intended Audience
College Audience
LCCN
2001-276408
Reviews
The book is a valuable resource for students on applied statistics courses and applied researchers in many disciplines., "The real world is multivariate. This update of the first iteration (undated) includes chapter revisions and exercises; new sections on neural networks and random effects models for longitudinal data; and appended information on software packages, and the problem of missing values. Familiaritywith matrix algebra is helpful, though more technical material is confined to the tables. Suitable for an applied statistics course text or reference for applied researchers. Everitt is a behavioral statistics professor at the Institute of Psychiatry at King's College in London. Dunn teachesbiomedical statistics at the U. of Manchester."--SciTech Book News, "This intermediate to advanced level data analysis book is appropriate for investigators who deal with complex data sets involving multiple response variables. Exploratory and confirmatory methodologies are explained and some mathematical justification for the methods is provided. ...[P]resumably [the] intention [of the authors] is to acquaint readers with the more useful aspects of multivariate analysis and display by updating the material from the earlier edition. There is a need for such information and this book makes a contribution in that direction. It appears to bewritten for a relatively nonmathematical audience. This could include students and practitioners particularly, but not exclusively, in the social sciences. ... The best thing about the book is that the authors have incorporated graphical display where possible. ... The coverage appears complete andI can't think of any major topic that has been ignored."--Doody's
Dewey Edition
21
Illustrated
Yes
Dewey Decimal
519.5/35
Edition Description
Revised edition,New Edition
Synopsis
This book is fully updated to include new sections on neural networks, graphical modelling, hierarchical or multilevel modelling, and latent class models. The sections on correspondence analysis and principal components analysis have been expanded. It also offers more exercises for students and an updated review of the available software suited to multivariate analysis. The text avoids irrelevant theoretical statistics and concentrates on enabling the students to understand the concepts behind the data analysis.
LC Classification Number
QA278.E88 2001

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    The item came as described was packaged pretty good book was in good shape, just as the description described. I tried to contact seller twice and never got a response other then that the transaction went pretty good if seller tried harder to answer questions i would have given a 5 star review but because i had trouble getting in contact with him, and still haven’t heard from them and book is already delivered ill leave a 4 star review i would recommend this seller
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