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Practical Multivariate Analysis (Chapman & Hall/CRC Texts in Statistical Scien..

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Item specifics

Condition
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab
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“VG-. Pictorial boards show slightly too much edge and corner wear to rate VG. Binding intact. Text ...
ISBN
9781138702226
Subject Area
Mathematics
Publication Name
Practical Multivariate Analysis
Publisher
CRC Press LLC
Item Length
10.2 in
Subject
Probability & Statistics / General, Probability & Statistics / Multivariate Analysis
Publication Year
2019
Series
Chapman and Hall/Crc Texts in Statistical Science Ser.
Type
Textbook
Format
Hardcover
Language
English
Item Height
1.3 in
Author
Susanne May, Virginia A. Clark, Robin Donatello, Abdelmonem Afifi
Item Weight
35.3 Oz
Item Width
7.1 in
Number of Pages
418 Pages

About this product

Product Information

This is the sixth edition of a popular textbook on multivariate analysis. Well-regarded for its practical and accessible approach, with excellent examples and good guidance on computing, the book is particularly popular for teaching outside statistics, i.e. in epidemiology, social science, business, etc.

Product Identifiers

Publisher
CRC Press LLC
ISBN-10
1138702226
ISBN-13
9781138702226
eBay Product ID (ePID)
7038644589

Product Key Features

Number of Pages
418 Pages
Language
English
Publication Name
Practical Multivariate Analysis
Publication Year
2019
Subject
Probability & Statistics / General, Probability & Statistics / Multivariate Analysis
Type
Textbook
Subject Area
Mathematics
Author
Susanne May, Virginia A. Clark, Robin Donatello, Abdelmonem Afifi
Series
Chapman and Hall/Crc Texts in Statistical Science Ser.
Format
Hardcover

Dimensions

Item Height
1.3 in
Item Weight
35.3 Oz
Item Length
10.2 in
Item Width
7.1 in

Additional Product Features

Edition Number
6
Intended Audience
College Audience
LCCN
2019-026762
Reviews
"This book is an excellent resource for students and researchers of all levels. I have used earlier editions repeatedly in data-analysis courses for advanced undergraduates and graduate students in applied fields. The level of mathematical presentation is well matched to such settings. Not only are there excellent examples from biostatistics and public health, but there are also some very good business financial examples. The new chapter on Data Visualization in the new, sixth edition will be especially useful. Overall, the book is exceptionally well written and readable." - Stanley Sclove, University of Illinois at Chicago "Editions of Practical Multivariate Analysis have been the mainstay of my graduate-level service course in applied data-analysis since 1985. It remains an extraordinary book -- packed with excellent examples, clear explanation and fine advice -- and has my highest possible recommendation. Among many reasons it remains so extraordinary, are three signaled directly in its title: it is practical rather than theoretical, analytic rather than technical, and it embodies a broader-than-usual conception of utilitarian multivariate methods. Practical Multivariate Analysis connects readily to its audience's reality. It uses concrete research questions and real data to motivate its content, illustrated by exemplary analyses using R, SAS, SPSS and STATA. It models how complex findings can be made comprehensible to a broader community. It reaches beyond the typical spectrum of multivariate methods. It begins sensibly, discussing how multivariate data can be explored and displayed before complex analysis. Then come chapters on useful extensions to multiple regression analysis. While not usually considered "multivariate," these latter methods connect an incoming audience to earlier acquired skills and extend them. Then follow the core chapters on "standard" multivariate methods, including canonical correlation, discriminant, principal-components, factor and cluster analyses. All are clearly presented, and then extended by excellent chapters on logistic regression, survival and log-linear analyses, and multilevel modeling, techniques that have proven useful and ubiquitous throughout social-science research. In my view, Practical Multivariate Analysis is an excellent roadmap for conducting such analyses, and a fine model for ensuring that their complex findings can be communicated successfully to others." - John B. Willett, Charles William Eliot Research Professor, Harvard University Graduate School of Education "The Practical Multivariate Analysis is a fun statistical modeling book to read. I enjoyed the rich insights the book has provided, which can only be accumulated through years of experience with the complexity in real data. It covers a large collection of statistical methods and models with a clear focus on application. Always discussing a model or method along with data examples, the book helps readers focus on important perspectives in applying the model, from choice of appropriate methods to interpretation of the results, while it still manages to maintain the technique details at a minimal level. Readers with different backgrounds can all benefit from this book. It is valuable for researchers who are interested in analyzing their data with classical statistical models and interpreting the results. It is a good reading for new graduates in statistics who have not had a lot of experience with real data as the book provides many importance guidance in handling real data as well as watch-out advices. It can be used by applied data scientists and serve as a resourceful reference book for experienced consultants." - Xia Wang, University of Cincinnati
Illustrated
Yes
Lc Classification Number
Qa278.A33 2020
Table of Content
Part I: Preparation for Analysis. What is Multivariate Analysis? Characterizing Data for Analysis. Preparing for Data Analysis. Data Visualization. Data Screening and Transformations. Data Visualization. Selecting Appropriate Analyses. Part II: Regression Analysis. Simple Regression and Correlation. Multiple Regression and Correlation. Variable Selection in Regression. Special Regression Topics. Discriminant analysis. Logistic Regression. Regression Analysis with Survival Data. Principal Components Analysis. Factor Analysis. Cluster Analysis. Log-Linear Analysis. Correlated Outcomes Regression.
Copyright Date
2020

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OrangeandBlueBooks

OrangeandBlueBooks

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