Modeling Lifetime Data with the Odd Generalized
Exponentiated Inverse Lomax Distribution

Obubu Maxwell; Nwokike Chukwudike C; Offorha Bright C; Olayemi Joshua I; Eghwerido Joseph Thomas

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Current Trends on Biostatistics & Biometrics

Research Article

Modeling Lifetime Data with the Odd Generalized Exponentiated Inverse Lomax Distribution

Volume 1 - Issue 3

**Obubu Maxwell¹*, Nwokike Chukwudike C², Offorha Bright C³, Olayemi Joshua I⁴ and Eghwerido Joseph Thomas⁵**

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- ¹ Department of Statistics, Nnamdi Azikiwe University, Awka, Nigeria
- ^2,3Department of Statistics, Abia State University, Uturu, Nigeria
- ⁴ Department of Mathematical Sciences, Federal University Gusau, Nigeria
- ⁵Department of Mathematics and Computer Science, Federal University of Petroleum Resources, Effurun, Nigeria
*Corresponding author: Obubu Maxwell, Department of Statistics, Nnamdi Azikiwe University, Awka, Nigeria

Received: February 22, 2019; Published: March 11, 2019

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Abstract

We propose a four parameter compound continuous distribution in this study. Simulation studies was carried out to investigate the behavior of the proposed distribution, from which the maximum likelihood estimates for the true parameters, including the bias and root mean square error (RMSE) were obtained. The proposed model was applied to the strengths of glass fibres dataset and the result compared to other existing distribution.

Keywords: Odd Generalized Exponentiated Family; Inverse Lomax Distribution; Moments; Reliability Function; Hazard Function; Continuous Distribution

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