Abstract

Probability Proportional to Size with Replacement (PPSWR) Sampling offers an important role in the sampling theory. K. Joshi and M.B. Rajarshi (2017) proposed Modified Probability Proportional to Size with Replacement Sampling, which lead to the estimators with higher efficiency in case where data follow Zipf‟s Law. Hitopadesha, a linguistic corpus in Sanskrit language consists of some words having very high frequency than other words hence the data of word frequency follows Zipf‟s Law. In this paper, we illustrate the performance of MPPSWR Sampling to estimate the actual proportion of Indeclinable words of Hitopadesha and compare the estimators with PPSWR Sampling.

Author: Anupama Goyal, Pooja Choraria, Versha Dwivedi, P. C. Gupta

Received on: March, 2022

Accepted on: April, 2023