• M VIJAYA LAKSHMI
• O. V. Raja Sekharam
• G.V. S. R. Anjaneyulu

The objective of this paper is to estimate the parameters and also construct an Optimal Grouped sample in the absence of prior knowledge or guess values of parameters. In this heuristic algorithm, the Median Ranks Regression Method (MRR) is used to find out Estimates the parameters and also Least Square Regression (LSR) estimation of parameters. Compare these two methods by using Average Estimate (AE), Variance (VAR), Mean Absolute Deviation (MAD), Mean Square Error (MSE), Relative Absolute Bias (RAB) and Relative Efficiency (RE) for both the parameters under grouped sample based on 1000 simulations to assess the performance of the estimators.

Power Function Parameters, Optimally Grouped sample, Median Ranks Regression, Least Square Regression.

"COMPARISON OF POWER FUNCTION DISTRIBUTION BY MEDIAN RANKS AND LEAST SEQUARE REGRESSION METHOD USING OPTIMALLY CONSTRUCTED GROUPED DATA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.409-417, June 2019, Available :http://www.jetir.org/papers/JETIR1908862.pdf

"COMPARISON OF POWER FUNCTION DISTRIBUTION BY MEDIAN RANKS AND LEAST SEQUARE REGRESSION METHOD USING OPTIMALLY CONSTRUCTED GROUPED DATA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp409-417, June 2019, Available at : http://www.jetir.org/papers/JETIR1908862.pdf