Schoutens, Wim Author
Biography not available.
Browse all ART CRITICISM books
Browse all Ashworth books
Browse all FOLKLORE books
Browse all GARDENS books
Browse all GRAPHIC NOVELS books
Browse all Hamilton books
Browse all HISTORY - MEDIEVAL books
Browse all HUMOUR books
Browse all KINDRED books
Browse all LITERARY STUDIES books
Browse all LONDON books
Browse all Lozada books
Browse all Medical : Nursing - Mental Health books
Browse all MIND books
Browse all MUSEOLOGY books
Browse all NON-CLASSIFIABLE books
Browse all NONLINEAR SCIENCE books
Browse all Ormonde books
Browse all POPULAR SCIENCE books
Browse all RELIGIOUS STUDIES books
Browse all SPIRIT books
Browse all SPORT books
Browse all TRAVEL WRITING books
Out of Stock
STOCHASTIC PROCESSES & ORTHOGO
Paperback ยท ISBN 9780387950150
Inclusive of GST and other taxes
Arriving at your doorstep in 10-15 days
Our logisitcs team will make sure everyitem is delivered safely
| ISBN | 9780387950150 |
|---|---|
| Subtitle | STOCHASTIC PROCESSES & ORTHOGO |
| Publisher | Springer |
| Publication date | May 2000 |
| Language | English |
| MRP | ยฃ89.99 GBP |
| Page count | 184 |
| Item weight | 59 g |
It has been known for a long time that there is a close connection between stochastic processes and orthogonal polynomials. For example, N. Wiener [112] and K. Ito [56] knew that Hermite polynomials play an important role in the integration theory with respect to Brownian motion. In the 1950s D. G. Kendall [66], W. Ledermann and G. E. H. Reuter [67] [74], and S. Kar- lin and J. L. McGregor [59] established another important connection. They expressed the transition probabilities of a birth and death process by means of a spectral representation, the so-called Karlin-McGregor representation, in terms of orthogonal polynomials. In the following years these relation- ships were developed further. Many birth and death models were related to specific orthogonal polynomials. H. Ogura [87], in 1972, and D. D. En- gel [45], in 1982, found an integral relation between the Poisson process and the Charlier polynomials. Some people clearly felt the potential im- portance of orthogonal polynomials in probability theory. For example, P. Diaconis and S. Zabell [29] related Stein equations for some well-known distributions, including Pearson's class, with the corresponding orthogonal polynomials. The most important orthogonal polynomials are brought together in the so-called Askey scheme of orthogonal polynomials. This scheme classifies the hypergeometric orthogonal polynomials that satisfy some type of differ- ential or difference equation and stresses the limit relations between them.
Log in to write a review for this book.
No reviews yet. Be the first to share your opinion.
Biography not available.