Stochastic Processes and Orthogonal Polynomials: 146 (Lecture Notes in Statistics, 146) - Image 1

£65.37

Springer Stochastic Processes and Orthogonal Polynomials: 146 (Lecture Notes in Statistics, 146)

Name: Stochastic Processes and Orthogonal Polynomials: 146 (Lecture Notes in Statistics, 146)
Brand: Springer
Price: 65.37 GBP
Availability: InStock

General Medical Issues

About as cheap as it gets. The only time it was cheaper was 8 months ago.

£65 today · all-time low £65 (Sep 2025) · usually the usual

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 577 days • 577 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 577 days • 4 price ranges

Days at Price

Current Price

Price Analysis

Most common range: £65-70 (249 days, 43.2%)

Price range: £65 - £90

Price levels: 4 price ranges over 577 days

Description

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.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 038795015X
Category: Books > Subjects > Health, Family & Lifestyle > Medical & Healthcare Practitioners > General Medical Issues
Domain: Amazon UK
Publication Date: 27 April 2000
Listed Since: 16 December 2006

Barcode

No barcode data available

Springer Stochastic Processes and Orthogonal Polynomials: 146 (Lecture Notes in Statistics, 146)

About as cheap as it gets. The only time it was cheaper was 8 months ago.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

An Introduction to Applied Probability: 77 (Texts in Applied Mathematics, 77)

Topics in Stochastic Analysis and Nonparametric Estimation: 145 (The IMA Volumes in Mathematics and its Applications, 145)

Stochastic Analysis and Related Topics: In Honour of Ali Süleyman Üstünel, Paris, June 2010: 22 (Springer Proceedings in Mathematics & Statistics, 22)

Stochastic Processes: An Introduction, Third Edition (Chapman & Hall/CRC Texts in Statistical Science)

Stochastic Differential Equations: 72 (Ergebnisse der Mathematik und ihrer Grenzgebiete. 2. Folge, 72)

An Advanced Course in Probability and Stochastic Processes

Dirichlet Forms Methods for Poisson Point Measures and Lévy Processes: With Emphasis on the Creation-Annihilation Techniques: 76 (Probability Theory and Stochastic Modelling, 76)

Degenerate Diffusion Operators Arising in Population Biology (AM–185) (Annals of Mathematics Studies, 185)

Orthogonal Polynomials in the Spectral Analysis of Markov Processes: Birth-Death Models and Diffusion: 181 (Encyclopedia of Mathematics and its Applications, Series Number 181)

Probability and Stochastic Processes

Stochastic Partial Differential Equations: An Introduction (SpringerBriefs in Mathematics)

Introduction to the Theory of Random Processes (Graduate Studies in Mathematics)

Two-Dimensional Random Walk: From Path Counting to Random Interlacements (Institute of Mathematical Statistics Textbooks)

Degenerate Diffusion Operators Arising in Population Biology (Annals of Mathematics Studies): 185

An Introduction to Stochastic Processes and Their Applications (Springer Series in Statistics)

Asymptotic Properties of Permanental Sequences: Related to Birth and Death Processes and Autoregressive Gaussian Sequences (SpringerBriefs in Probability and Mathematical Statistics)

Probability and Random Processes: Fourth Edition

Probability: Theory and Examples: 49 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 49)

Zeros of Gaussian Analytic Functions and Determinantal Point Processes (University Lecture Series)

Probability and Random Processes: Fourth Edition

Stochastic Partial Differential Equations and Related Fields: In Honor of Michael Röckner SPDERF, Bielefeld, Germany, October 10 -14, 2016: 229 (Springer Proceedings in Mathematics & Statistics, 229)

An Introduction to Measure-theoretic Probability

Continuous Parameter Markov Processes and Stochastic Differential Equations: 299 (Graduate Texts in Mathematics)

Asymptotic Behaviour of Linearly Transformed Sums of Random Variables: 416 (Mathematics and Its Applications, 416)