La Milano

Markov Chains: With Stationary Transition Probabilities

Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Markov Chains: With Stationary Transition ProbabilitiesISBN13:9783540038221ISBN10:3540038221Author:Chung, Kai Lai (Author)Description:From The Reviews: J Neveu, 1962 In Zentralblatt Fur Mathematik, 92 Band Heft 2, P 343: Ce Livre Ecrit Par L'un Des Plus Eminents Specialistes En La Matiere, Est Un Expose Tres Detaille De La Theorie Des Processus De Markov Definis Sur Un Espace Denombrable D'etats Et Homogenes Dans Le Temps (Chaines Stationnaires De Markov) N Jain, 2008 In Selected Works Of Kai Lai Chung, Edited By Farid Aitsahlia (University Of Florida, Usa), Elton Hsu (Northwestern University, Usa), & Ruth Williams (University Of California-San Diego, Usa), Chapter 1, P 15: This Monograph Deals With Countable State Markov Chains In Both Discrete Time (Part I) And Continuous Time (Part Ii) ] Much Of Kai Lai's Fundamental Work In The Field Is Included In This Monograph Here, For The First Time, Kai Lai Gave A Systematic Exposition Of The Subject Which Includes Classification Of States, Ratio Ergodic Theorems, And Limit Theorems For Functionals Of The Chain Binding:Hardcover, HardcoverPublisher:SPRINGER NATUREPublication Date:1967-01-01Weight:1.36 lbsDimensions:0.75'' H x 9.21'' L x 6.14'' WNumber of Pages:301Language:English

Price: 122.66 USD

Location: USA

End Time: 2024-11-11T19:55:46.000Z

Shipping Cost: 0 USD

Product Images

Markov Chains: With Stationary Transition Probabilities

Item Specifics

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

Return policy details:

Book Title: Markov Chains: With Stationary Transition Probabilities

Item Length: 9.3in

Item Width: 6.1in

Author: K. L. Chung

Publication Name: Markov Chains with Stationary Transition Probabilities

Format: Hardcover

Language: English

Publisher: Springer Berlin / Heidelberg

Series: Grundlehren Der Mathematischen Wissenschaften Ser.

Publication Year: 1967

Type: Textbook

Item Weight: 23.1 Oz

Number of Pages: Xi, 301 Pages

Recommended

Markov Chains; Cambridge Series in Statistica- 0521633966, paperback, J R Norris
Markov Chains; Cambridge Series in Statistica- 0521633966, paperback, J R Norris

$17.12

View Details
Understanding Markov Chains: Examples And Applications
Understanding Markov Chains: Examples And Applications

$49.58

View Details
MARKOV CHAINS (HOLDEN-DAY SERIES IN PROBABILITY AND By David Freedman EXCELLENT
MARKOV CHAINS (HOLDEN-DAY SERIES IN PROBABILITY AND By David Freedman EXCELLENT

$67.49

View Details
Introduction To Markov Chains: With Special Emphasis On Rapid Mixing
Introduction To Markov Chains: With Special Emphasis On Rapid Mixing

$103.49

View Details
Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues (Texts in - GOOD
Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues (Texts in - GOOD

$12.40

View Details
Markov Chain Monte Carlo (Chapman & Hall/CRC Texts in Statistical Science)
Markov Chain Monte Carlo (Chapman & Hall/CRC Texts in Statistical Science)

$44.38

View Details
Probability and Statistics by Example: Volume 2, Markov Chains: A Primer in Rand
Probability and Statistics by Example: Volume 2, Markov Chains: A Primer in Rand

$40.96

View Details
Denumerable Markov Chains: with a chapter of Markov Random Fields by Davi - GOOD
Denumerable Markov Chains: with a chapter of Markov Random Fields by Davi - GOOD

$86.18

View Details
Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues (Texts in Applie
Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues (Texts in Applie

$12.59

View Details
LIMIT THEOREMS FOR FUNCTIONALS OF ERGODIC MARKOV CHAINS By Xia Chen *Excellent*
LIMIT THEOREMS FOR FUNCTIONALS OF ERGODIC MARKOV CHAINS By Xia Chen *Excellent*

$124.95

View Details