DocumentCode
1343986
Title
Discrete Probability Models with Modified Zeros
Author
Higgins, J.J. ; Tsokos, C.P.
Author_Institution
University of South Florida; Tampa, FL 33620 USA.
Issue
5
fYear
1978
Firstpage
363
Lastpage
366
Abstract
Two types of discrete probability models are investigated. The models arise from the Poisson process by modifying in certain ways the probability of observing a zero. The first type is a composite of two discrete pdf´s to allow for adjustment in the probability of observing no occurrences of the event of interest. The second is a pure birth process in which the transition intensity changes after the first event of interest has occurred. Procedures for estimating the parameters of these models are given. The models fit well the actual data selected from reliability and queuing applications.
Keywords
Biological system modeling; Context modeling; Mathematical model; Maximum likelihood estimation; Parameter estimation; Probability; Queueing analysis; Reliability theory; Statistics; Stochastic processes; Composite models; Poisson process; Pure birth processes; Queuing theory;
fLanguage
English
Journal_Title
Reliability, IEEE Transactions on
Publisher
ieee
ISSN
0018-9529
Type
jour
DOI
10.1109/TR.1978.5220423
Filename
5220423
Link To Document