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Showing 3 results for moments
Miss Elaheh Kadkhoda, Mr Morteza Mohammadi, Dr Gholam Reza Mohtashami Borzadaran,
Volume 22, Issue 1 (12-2017)
Abstract
Generalized Lambda Distribution is an extension of Tukey's lambda distribution, that is very flexible in modeling information and statistical data. In this paper, We introduced two parameterization of this distribution. Then We estimate parameters by moment matching, percentile, starship and maximum likelihood methods and compare two parameterization and parameter estimation methods with Kolmogorov-Smirnov test.
Anita Abdollahi Nanvapisheh,
Volume 22, Issue 2 (3-2018)
Abstract
In this paper, first, we investigate probability density function and the failure rate function of some families of exponential distributions. Then we present their features such as expectation, variance, moments and maximum likelihood estimation and we identify the most flexible distributions according to the figure of probability density function and the failure rate function and finally we offer practical examples of them.
Anita Abdollahi Nanvapisheh, ,
Volume 23, Issue 2 (3-2019)
Abstract
In this paper, a new distribution is introduced, which is a generalization of a well-known distribution. This distribution is flexible and applies to income data modeling. We first provide some of the mathematical and distributional properties of this new model and then, to demonstrate the flexibility the new distribution, we will present the applications of this distribution with real data. Data fitting results confirm the appropriateness of this new model for the real data set.
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