2014
DOI: 10.9790/3021-04442833
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A Bivariate Generalized Exponential Model for the Effect of Endocrine Responses in Human with Postprandial Distress Syndrome

Abstract: Suppose a system has two components. Each component is subject to individual independent stress say 1 and 2 respectively. The system has an overall stress 3 which has been transmitted to both the components equally, independent of their individual stresses. Therefore, the observed stress at the two components are 1 = 1 , 3 and 2 = 2 , 3 respectively. If it is assumed that each component has been maintained independently and also there is an overall maintenance. Due to component maintenance, suppose the lifetim… Show more

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Cited by 2 publications
(2 citation statements)
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“…Let denote the inter-interval times between the shocks in source , = 1, 2, 3, which follow the distribution GE. [24] and Lakshmi and Durgadevi [22]). Kundu and Gupta (2009) defined a BVGE distribution and they used the method of maximum likelihood to estimate the four unknown parameters of the BVGE distribution from complete samples.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Let denote the inter-interval times between the shocks in source , = 1, 2, 3, which follow the distribution GE. [24] and Lakshmi and Durgadevi [22]). Kundu and Gupta (2009) defined a BVGE distribution and they used the method of maximum likelihood to estimate the four unknown parameters of the BVGE distribution from complete samples.…”
Section: Introductionmentioning
confidence: 99%
“…Ashour et al [6] estimated the unknown parameters of the BVGE distribution from censoring type-I samples with random censoring samples using the method of maximum likelihood. Lakshmi and Durgadevi [22] presented a study in the application part for the BVGE distribution. Assar and Abd El-Maseh [7] presented maximum likelihood estimation for the unknown parameters of the BVGE distribution under type-I censoring samples with accelerated life testing.…”
Section: Introductionmentioning
confidence: 99%