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Normal Approximation and Asymptotic Expansions

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Normal Approximation and Asymptotic Expansions Synopsis

Although this book was first published in 1976, it 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 ascertained by asymptotic expansions.

This also is the only book containing a detailed treatment of various refinements of the multivariate central limit theorem (CLT), including Berry-Essen-type error bounds for probabilities of general classes of functions and sets, and asymptotic expansions for both lattice and non-lattice distributions. With meticulous care, the authors develop necessary background on weak convergence theory, Fourier analysis, geometry of convex sets, and the relationship between lattice random vectors and discrete subgroups of Rk. The formalism developed in the book has been used in the extension of the theory by Goetze and Hipp to sums of weakly dependent random vectors.

This edition of the book includes a new chapter that provides an application of Stein's method of approximation to the multivariate CLT.

About This Edition

ISBN: 9780898718973
Publication date:
Author: R N Bhattacharya, R Ranga Rao
Publisher: Society for Industrial and Applied Mathematics an imprint of SIAM - Society for Industrial and Applied Mathematics
Format: Paperback
Pagination: 316 pages
Series: Classics in Applied Mathematics
Genres: Applied mathematics

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