Number-Theoretic Methods in Statistics (Chapman & Hall/CRC Monographs on Statistics and Applied Probability, #51)

by Kai-Tai Fang and Yuan Wang

D. R. Cox, N. Reid, Valerie Isham, R.J. Tibshirani, Thomas A. Louis, Howell Tong, and Niels Keiding

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Book cover for Number-Theoretic Methods in Statistics

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This book is a survey of recent work on the application of number theory in statistics. The essence of number-theoretic methods is to find a set of points that are universally scattered over an s-dimensional unit cube. In certain circumstances this set can be used instead of random numbers in the Monte Carlo method. The idea can also be applied to other problems such as in experimental design. This book will illustrate the idea of number-theoretic methods and their application in statistics. The emphasis is on applying the methods to practical problems so only part-proofs of theorems are given.
  • ISBN10 0412465205
  • ISBN13 9780412465208
  • Publish Date 1 December 1993
  • Publish Status Out of Print
  • Out of Print 23 January 2022
  • Publish Country US
  • Publisher Taylor & Francis Ltd
  • Imprint Chapman & Hall/CRC
  • Format Hardcover
  • Pages 344
  • Language English