Multivariate statistics for researchers

This book is a valuable resource for those engaged in multivariate statistical techniques. Most chapters includes a set of problems and solution that enable readers to overcome the drawback of the classical techniques.

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Bibliographic Details
Other Authors: Shamshuritawati Sharif (Editor), Sharipah Zainah Syed Abdul Rahman (Editor), Hazlina Ali (Editor)
Format: Book
Language:English
Published: Sintok Penerbit UUM 2016
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Call Number :QA 278 .M858 2016

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090 |a QA 278  |b .M858 2016 
245 0 0 |a Multivariate statistics for researchers  |c editors Shamshuritawati Sharif, Hazlina Ali, Sharipah Soaad Syed Yahaya 
264 1 |a Sintok  |b Penerbit UUM  |c 2016 
300 |a xiv, 100 pages ; 27 cm 
336 |a text  |2 rdacontent 
337 |a unmediated  |2 rdamedia 
338 |a volume  |2 rdacarrier 
504 |a Includes bibliographical references and index 
505 0 |a Asymptotic distribution of T* statistic -- The stability test of covariance structure -- Comparison study on the speed of convergence in distribution of sample generalized variance and sample vector variance -- Robust hottelling T2 chart based on minimum vector variance -- Local influence to detect influential data fir Buckley James model -- Investigations on the LDA in handling different sizes of variables 
520 |a This book is a valuable resource for those engaged in multivariate statistical techniques. Most chapters includes a set of problems and solution that enable readers to overcome the drawback of the classical techniques. 
592 |a RT17/0439  |b 16/3/18  |c RM34.00  |h Ray Theme 
650 0 |a Multivariate analysis 
650 0 |a Mathematical statistics 
650 0 |a Analysis of covariance 
700 0 |a Shamshuritawati Sharif  |e editor 
700 0 |a Sharipah Zainah Syed Abdul Rahman  |e editor 
700 0 |a Hazlina Ali  |e editor 
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