A Two Parameter New Distribution for Life Time Data

  IJMTT-book-cover
 
International Journal of Mathematics Trends and Technology (IJMTT)
 
© 2020 by IJMTT Journal
Volume-66 Issue-12
Year of Publication : 2020
Authors : Arun Kumar Chaudhary, Vijay Kumar
  10.14445/22315373/IJMTT-V66I12P515

MLA

MLA Style: Arun Kumar Chaudhary, Vijay Kumar  "A Two Parameter New Distribution for Life Time Data" International Journal of Mathematics Trends and Technology 66.12 (2020):106-115. 

APA Style: Arun Kumar Chaudhary, Vijay Kumar(2020). A Two Parameter New Distribution for Life Time Data.  International Journal of Mathematics Trends and Technology, 106-115.

Abstract
Here in this study we have introduced a two-parameter new distribution. We have discussed some mathematical and statistical characteristics of the distribution such as the probability density function, cumulative distribution function and hazard rate function, survival function, quantile function, the skewness, and kurtosis measures. The model parameters of the proposed distribution are estimated using three well-accepted estimation techniques which are least-square estimation (LSE), maximum likelihood estimation (MLE), and Cramer-Von-Mises estimation (CVME) methods. of The proposed distribution's goodness of fit is also evaluated by fitting it in comparison with some other existing distributions using a real data set.

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Keywords : CVM, Estimation, Hazard function, LSE, Survival function