This is my statistics project under professor Sharmishta Mitra of Indian Institute of Technology Kanpur in 2nd year summers.
Draw random samples of size 10, 30 and 100 from a generalized exponential distribution and fit these to
- GE distribution
- Weibull distribution
- Lindley distribution Do a complete analysis of the estimates obtained in each case
I generated random samples using Inverse Probability Transformation method.
I read a couple of research papers to understand how to estimate the Maximum Likelihood Estimator of Weibull distribution and then implemented it using Matlab. Using the random samples I generated in first step, I used MLE method to fit data to Weibull distribution. Link to the papers I studied
- http://www.sciencedirect.com/science/article/pii/S0167715208002514
- http://www.sciencedirect.com/science/article/pii/0026271495001719
Implementing Chi-Squared test and Mean Square Error tests to determine the goodness of fit.