Estimation of Parameters in Erlang Distribution using Prior Information | Zendy

B. Bhaskara Rama Sarma | Zendy; V. Vasanta Kumar | Zendy; S. V. N. L. Lalitha | Zendy

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Estimation of Parameters in Erlang Distribution using Prior Information

Author(s) -

B. Bhaskara Rama Sarma,

V. Vasanta Kumar,

S. V. N. L. Lalitha

Publication year - 2019

Publication title -

international journal of recent technology and engineering (ijrte)

Language(s) - English

Resource type - Journals

ISSN - 2277-3878

DOI - 10.35940/ijrte.b1072.078219

Subject(s) - kurtosis , estimator , statistics , erlang distribution , erlang (programming language) , mathematics , mean squared error , population mean , population , simple random sample , econometrics , computer science , gamma distribution , functional programming , demography , theoretical computer science , sociology

This paper focuses on the estimation of parameters of an Erlang density using known Coefficients of variation and Kurtosis of the population basing on past experience and a simple random sample of size from the population. Estimators using Searle D.T approach are proposed and their bias () and mean squared error () are calculated. The relative efficiency of over conventional estimator is also tabulated for various sample sizes and various C.V values, Kurtosis values. The proposed estimators are observed to be more efficient than under the conditions established. Subject Classification: AMS 62J13

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