Open AccessEstimation of Parameters of Lomax Distribution by Using Maximum Product Spacings Method
Author(s) -
C. Aruna
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.39900
Subject(s) - mathematics , mean squared error , statistics , estimator , lomax distribution , absolute deviation , pareto distribution
The objective of this paper is to estimate the parameters of Lomax distribution with shape parameter(α) and scale parameter(λ). In this heuristic algorithm, the Maximum Product Spacings Method is used to Estimates the parameters of Lomax Distribution. We also computed Average Estimate (AE), Variance (VAR), Mean Absolute Deviation (MAD), Mean Square Error (MSE), Relative Error (RE) and Relative Absolute Bias (RAB) for both the parameters under grouped sample based on 1000 simulations to assess the performance of the estimators. And also compare Maximum Product Spacings Method with Least Squares Regression Method and Median Rank Regression Method. Keywords: Lomax Parameters, Grouped sample, Maximum Product Spacings method, simulation