Applied multivariate data analysis

Multivariate analysis plays an important role in the understanding of complex data sets requiring simultaneous examination of all variables. Breaking through the apparent disorder of the information, it provides the means for both describing and exploring data, aiming to extract the underlying patte...

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Bibliographic Details
Main Author: Everitt, Brian.
Other Authors: Dunn, Graham.
Format: eBook
Language: English
Published: Chichester, West Sussex : Wiley & Sons, 2001.
Edition: 2nd ed.
Subjects:
Multivariate analysis.
elektronické knihy
electronic books
ISBN: 9781613446386
1613446381
9781118887486
1118887484
0470711175
Physical Description: 1 online resource

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Table of contents

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007 cr cn|||||||||
008 120718s2001 enk ob 101 0 eng d
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020 |a 9781613446386  |q (electronic bk.) 
020 |a 1613446381  |q (electronic bk.) 
020 |a 9781118887486  |q (electronic bk.) 
020 |a 1118887484  |q (electronic bk.) 
020 |z 0470711175 
035 |a (OCoLC)800362325  |z (OCoLC)953595525 
100 1 |a Everitt, Brian. 
245 1 0 |a Applied multivariate data analysis /  |c Brian S. Everitt and Graham Dunn. 
250 |a 2nd ed. 
260 |a Chichester, West Sussex :  |b Wiley & Sons,  |c 2001. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
505 0 |a 1. Multivariate Data and Multivariate Statistics -- 2. Exploring Multivariate Data Graphically -- 3. Principal Components Analysis -- 4. Correspondence Analysis -- 5. Multidimensional Scaling -- 6. Cluster Analysis -- 7. The Generalized Linear Model -- 8. Regression and the Analysis of Variance -- 9. Log-Linear and Logistic Models for Categorical Multivariate Data -- 10. Models for Multivariate Response Variables -- 11. Discrimination, Classification and Pattern Recognition -- 12. Exploratory Factor Analysis -- 13. Confirmatory Factor Analysis and Covariance Structure Models -- Appendix A: Software Packages -- Appendix B: Missing Values -- Appendix C: Answers to Selected Exercises -- References -- Index. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a Multivariate analysis plays an important role in the understanding of complex data sets requiring simultaneous examination of all variables. Breaking through the apparent disorder of the information, it provides the means for both describing and exploring data, aiming to extract the underlying patterns and structure. This intermediate-level textbook introduces the reader to the variety of methods by which multivariate statistical analysis may be undertaken. Now in its 2nd edition, 'Applied Multivariate Data Analysis' has been fully expanded and updated, including major chapter revisions as well as new sections on neural networks and random effects models for longitudinal data. Maintaining the easy-going style of the first edition, the authors provide clear explanations of each technique, as well as supporting figures and examples, and minimal technical jargon. With extensive exercises following every chapter, 'Applied Multivariate Data Analysis' is a valuable resource for students on applied statistics courses and applied researchers in many disciplines. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Multivariate analysis. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Dunn, Graham. 
776 0 8 |i Print version:  |a Everitt, Brian.  |t Applied multivariate data analysis.  |d Chichester, West Sussex : Wiley & Sons, 2001  |z 0470711175  |w (OCoLC)712128723 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpAMDAE007/applied-multivariate-data?kpromoter=marc  |y Full text 

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