Zobrazeno 1 - 10
of 96
pro vyhledávání: '"N. U. Prabhu"'
Autor:
N. U. Prabhu, Ishwar Basawa
Covering both theory and applications, this collection of eleven contributed papers surveys the role of probabilistic models and statistical techniques in image analysis and processing, develops likelihood methods for inference about parameters that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be7110cb04b8e088d98b2c399e5a1097
https://doi.org/10.1201/9781003066606
https://doi.org/10.1201/9781003066606
Autor:
D. G. Konstantinides, N. U. Prabhu
Publikováno v:
Queueing Systems. 55:139-146
In this paper we consider a storage model with two types of inputs and outputs that are subject to seasonal switching. Inputs are assumed to occur in a fluid fashion whereas outputs occur at a unit rate so long as the corresponding storage is non-emp
Autor:
N. U. Prabhu
Publikováno v:
Queueing Systems. 24:7-18
Autor:
N. U. Prabhu
This volume comprises the proceedings of the AMS-IMS-SIAM Summer Research Conference on Statistical Inference from Stochastic Processes, held at Cornell University in August 1987. The conference brought together probabilists and statisticians who hav
Autor:
N. U. Prabhu, António Pacheco
Publikováno v:
Theory of Probability & Its Applications. 39:604-627
We consider a storage model where the input and demand are modulated by an underlying Markov chain. Such models arise in data communication systems. The input is a Markov-compound Poisson process and the demand is a Markov linear process. The demand
Autor:
N. U. Prabhu
Publikováno v:
Acta Applicandae Mathematicae. 34:213-223
A theory of semiregenerative phenomena was developed by the author. The set of points at which such a phenomenon occurs is called a semi regenerative set. There is a correspondence between a semiregenerative set and the range of a Markov subordinator
Autor:
L. C. Tang, N. U. Prabhu
Publikováno v:
Journal of Applied Probability. 31:169-184
We consider single-server queueing systems that are modulated by a discrete-time Markov chain on a countable state space. The underlying stochastic process is a Markov random walk (MRW) whose increments can be expressed as differences between service
Publikováno v:
Markov-Modulated Processes and Semiregenerative Phenomena
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23a6c10775088ea895dd3e3f21c84b2d
https://doi.org/10.1142/9789812793195_0004
https://doi.org/10.1142/9789812793195_0004
Publikováno v:
Markov-Modulated Processes and Semiregenerative Phenomena
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9385c791c1cdd47dd67556a76c684010
https://doi.org/10.1142/9789812793195_0001
https://doi.org/10.1142/9789812793195_0001