Fourier Analysis in Probability Theory
Download or Read eBook Fourier Analysis in Probability Theory PDF written by Tatsuo Kawata and published by Academic Press. This book was released on 2014-06-17 with total page 681 pages. Available in PDF, EPUB and Kindle.
| Author | : Tatsuo Kawata |
| Publisher | : Academic Press |
| Total Pages | : 681 |
| Release | : 2014-06-17 |
| ISBN-10 | : 9781483218526 |
| ISBN-13 | : 148321852X |
| Rating | : 4/5 (26 Downloads) |
Book Synopsis Fourier Analysis in Probability Theory by : Tatsuo Kawata
Book excerpt: Fourier Analysis in Probability Theory provides useful results from the theories of Fourier series, Fourier transforms, Laplace transforms, and other related studies. This 14-chapter work highlights the clarification of the interactions and analogies among these theories. Chapters 1 to 8 present the elements of classical Fourier analysis, in the context of their applications to probability theory. Chapters 9 to 14 are devoted to basic results from the theory of characteristic functions of probability distributors, the convergence of distribution functions in terms of characteristic functions, and series of independent random variables. This book will be of value to mathematicians, engineers, teachers, and students.
