A detailed treatment of various refinements of the multivariate central limit theorem.
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Rabi N. Bhattacharya received his Ph.D. from the University of Chicago in 1967. He has held regular faculty positions at the University of California, Berkeley, Indiana University and the University of Arizona. He is a member of the American Mathematical Society and a Fellow of the Institute of Mathematical Statistics. He is a recipient of a Guggenheim Fellowship and an Alexander Von Humboldt Forschungspreis. Bhattacharya has co-authored a number of graduate texts and research monographs, including Stochastic Processes with Applications (with E. C. Waymire) and Random Dynamical Systems (with M. K. Majumdar).
R. Ranga Rao received his Ph.D. from the Indian Statistical Institute in 1960. He has been on the faculty of the Department of Mathematics, University of Illinois, for more than forty years. He has held a number of visiting professorships, including several at the Tata Institute of Fundamental Research, India. He is a member of the American Mathematical Society.
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Condición: New. 2010. Paperback. A detailed treatment of various refinements of the multivariate central limit theorem. Series: Classics in Applied Mathematics. Num Pages: 332 pages. BIC Classification: PBT; PBWL. Category: (P) Professional & Vocational. Dimension: 229 x 153 x 18. Weight in Grams: 480. . . . . . Nº de ref. del artículo: V9780898718973
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Condición: New. 2010. Paperback. A detailed treatment of various refinements of the multivariate central limit theorem. Series: Classics in Applied Mathematics. Num Pages: 332 pages. BIC Classification: PBT; PBWL. Category: (P) Professional & Vocational. Dimension: 229 x 153 x 18. Weight in Grams: 480. . . . . . Books ship from the US and Ireland. Nº de ref. del artículo: V9780898718973
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Condición: New. KlappentextrnrnAlthough first published in 1976, this book has gained new significance and renewed interest among statisticians due to the developments of modern statistical techniques such as the bootstrap, the efficacy of which can be ascertai. Nº de ref. del artículo: 1652654346
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