A Characterization of the Exponential-Type Distribution

Biometrika ◽  
1963 ◽  
Vol 50 (1/2) ◽  
pp. 205 ◽  
Author(s):  
G. P. Patil
Biometrika ◽  
1963 ◽  
Vol 50 (1-2) ◽  
pp. 205-207
Author(s):  
G. P. PATIL

1977 ◽  
Vol 82 (2) ◽  
pp. 297-300 ◽  
Author(s):  
A. V. Godambe

AbstractA necessary and sufficient condition for a Poisson mixture with an exponential type mixing distribution to be equivalently represented as a Poisson sum is obtained. The problem of deriving a similar condition under any mixing distribution on (0, ∞) is discussed. Finally, a characterization of the gamma distribution is obtained.


2011 ◽  
Vol 54 (3) ◽  
pp. 464-471
Author(s):  
Tea-Yuan Hwang ◽  
Chin-Yuan Hu

AbstractIn this paper, a fixed point equation of the compound-exponential type distributions is derived, and under some regular conditions, both the existence and uniqueness of this fixed point equation are investigated. A question posed by Pitman and Yor can be partially answered by using our approach.


1991 ◽  
Vol 23 (3) ◽  
pp. 515-535 ◽  
Author(s):  
Colm Art O'Cinneide

The notion of an invariant polytope played a central role in the proof of the characterization of phase-type distributions. The purpose of this paper is to develop invariant polytope techniques further. We derive lower bounds on the number of states needed to represent a phase-type distribution based on poles of its Laplace–Stieltjes transform. We prove that every phase-type distribution whose transform has only real poles has a bidiagonal representation. We close with three short applications of the invariant polytope idea. Taken together, the results of this paper show that invariant polytopes provide a natural approach to many questions about phase-type distributions.


1987 ◽  
pp. 67-73
Author(s):  
Masaaki SATOU ◽  
Masataka TANIMOTO ◽  
Susumu YOKOYAMA ◽  
Yuzo SANADA

2016 ◽  
Vol 31 (1) ◽  
Author(s):  
Mohammed S. Kotb

AbstractWe suggest a ranked set sample method to improve Bayesian prediction intervals. The paper deals with the Bayesian prediction intervals in the context of an ordered ranked set sample from a certain class of exponential-type distributions. A proper general prior density function is used and the predictive cumulative function is obtained in the two-sample case. The special case of linear exponential distributed observations is considered and completed with numerical results.


2013 ◽  
Vol 9 (1) ◽  
pp. 69-74
Author(s):  
Y. Phani ◽  
S.V.S. Girija ◽  
A.V. Dattatreya Rao

Abstract In this paper we make an attempt to construct a new three parameter linear model, we call this new model as Arc Tan-Exponential Type distribution, by applying Stereographic Projection or equivalently Bilinear transformation on Wrapped Exponential distribution, Probability density and cumulative distribution functions of this new model are presented and their graphs are plotted for various values of parameters.


1981 ◽  
Vol 4 (2) ◽  
pp. 371-381
Author(s):  
Robert Gervais ◽  
Lee A. Rubel

In this expository paper, it is shown that if an entire function of exponential type vanishes at least once in the complex plane and if it has exactly the same number of zeros (counting multiplicities) as its second derivative, then this function must take the formAsin(Bz+C).


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