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  • BAI ZHI DONG // ZHENG SHU RONG // JIANG DAN DAN

    Language: Chinese

    Published by Higher Education Press, 2012

    ISBN 10: 7040348306 ISBN 13: 9787040348309

    Seller: liu xing, Nanjing, JS, China

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    paperback. Condition: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date :2012-05-01 Pages: 524 Publisher: Higher Education Hello Teacher: Thank you Salan. OUR main subject in books. the company registered capital of 35 million. have a physical store wholesale shop wholesale sales channels. shop default hair rhyme Express. for other courier please contact Customer Service: Customer Service QQ: 1042275167 aftermarket cell phone: 13269866690 final interpretation Insein has Xuanxuan the Book limited liability company all the basic information about the title: large-dimensional statistical analysis applied statistics Books Price: 79 $ Price: 37.9 yuan 41.1 yuan discount you save: 47% off author: Bai Zhidong Zheng the surgery Rong Jiang Dandan Press: Higher Education Publication Date :2012-05-01ISBN: 9787040348309 Words: Page: 524 Revision: Binding: Folio: 16 open Weight: Editor's Choice Bai Zhidong. such as large-dimensional statistical analysis is one of the Applied Statistics Series. The book has 14 chapters. including Introduction. multivariate normal distribution. the mean vector and covariance matrix estimated sample correlation coefficient distribution T2 statistic. discriminant analysis. the distribution of the sample covariance matrix and generalized variance. general linear hypothesis testing. and analysis of variance. Book for statistics and statistical expertise undergraduates. graduate students. doctoral students and research staff. The large dimensional statistical analysis system Summary Bai Zhidong ed traditional multivariate statistical analysis of the general theory and methods. but also explores the currently popular large-dimensional data analysis problems. The main innovation of this book is that the introduction of large-dimensional random matrix theory of spectral analysis of large dimensional data analysis. that is. into the premise of the proportional increase in the sample size and data dimensionality. to explore a solution based on the new concept. or the application of random matrix The theory of spectral analysis of the most traditional multivariate statistical analysis methods give the correction. Chief Gugao Wei. low-dimensional data of different situations. in order to avoid serious estimation bias classic multivariate statistical analysis methods in dealing with large-dimensional data even test fails completely strange phenomenon. Big-dimensional statistical analysis of statistics and statistical professional undergraduate and graduate students. doctoral students and research staff. Chapter Introduction Chapter II catalog notation and conventions multivariate normal distribution to the fourth chapter of the third chapter of the mean vector and covariance matrix of the estimated sample correlation coefficient distribution applications T2 statistic Chapter discriminant analysis seventh Chapter of the distribution and the generalized variance of the the chapter sample covariance matrix of Chapter VIII of the general linear hypothesis test and analysis of variance test for independence of the ninth chapter of the grouping variable mean and homogeneity of variance testing Chapter XI principal component analysis tenth Chapter two canonical correlation coefficient with the canonical variables of Chapter 14 of the Chapter XIII of the distribution of the characteristic roots and eigenvectors factor analysis knowledge References terminology index name index of APPENDIX A matrix knowledge Appendix B spectral analysis of large dimensional random matrix introduced Abstracts prefaceFour Satisfaction guaranteed,or money back.

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    paperback. Condition: Good. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Ancient draft Painting of Figures 1 [skin compared with the dilapidated 16 drawings save complete 9 products without watermark. stain]Four Satisfaction guaranteed,or money back.