Type-II Censored analysis based on Exponentiated Inverted Weibull distribution

Abstract

Order statistics are widely used in Statistical modeling and its Statistical inference. Inferential aspects based on complete and incomplete data. Parameter estimation for the Exponentiated Inverted Weibull distribution based on order statistics is studied. In this paper deals with a detailed discussion on density function order statistics for complete and ordering of the data of different parameters in EIW distribution. To estimate the parameters, calculate the Mean Square Error, Total Deviation and data is tested with Kolmogrov and Smirnov method.

Introduction

VII. Acknowledgements

Flaih et. al. (2012) proposed distribution Exponentiated Inverted Weibull distribution Distribution is more flexible distribution to facilitate better modeling lifetime data and my study.

Conclusion

Simulation study is carried out to compare the performance of different estimate values. The performances of the parameters of the Exponentiated Inverted Weibull distribution (EIW) Distribution a detailed study on the statistical properties is presented. The theory to find the MLE of Exponentiated Inverted Weibull Distribution for complete and censored data has been provided. A simulation study is implemented for investigating the accuracy of different estimates for different sample sizes for complete and censored values into MLE method. This study some of structural properties of the Type-II Censored statistics with MLE. The MLE method is employed for estimating the model parameters different order values. Hope that the proposed model will attract wider application in areas such as engineering, survival and medical data, economics, among other.

References

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