Kawsar Fatima

Work place: Department of Statistics, University of Kashmir, Srinagar, India

E-mail: kawsarfatima@gmail.com

Website:

Research Interests: Statistics, Algorithmic Information Theory, Information Systems

Biography

Kawsar Fatima is Research scholar at the department of Statistics, University of Kashmir, Jammu and Kashmir, India. Her research interests are in the areas of Statistical Inference including both Classical as well as Bayesian approach. She is interested in assessing the potentiality and flexibility of newly introduced probability distributions in Statistical modeling, Reliability, Order Statistics, Information theory and other different allied fields. She is also interested in studying new techniques of model construction and their implementation in introducing new versions of already existing probability distributions.

Author Articles
Bayesian Approximation Techniques of Inverse Exponential Distribution with Applications in Engineering

By Kawsar Fatima S.P Ahmad

DOI: https://doi.org/10.5815/ijmsc.2018.02.05, Pub. Date: 8 Apr. 2018

The present study is concerned with the estimation of Inverse Exponential distribution using various Bayesian approximation techniques like normal approximation, Tierney and Kadane (T-K) Approximation. Different informative and non-informative priors are used to obtain the Baye’s estimate of Inverse Exponential distribution under different approximation techniques. A simulation study has also been conducted for comparison of Baye’s estimates obtained under different approximation using different priors. 

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