AN IMPROVED ESTIMATION PROCEDURE FOR TWO-OCCASION SUCCESSIVE  SAMPLING

D. T. Ailobhio1; J. A. Ikughur; S. C. Nwoasu; T. Uba

D. T. Ailobhio1 Department of Statistics, University of Lafia, Nasarawa State, Nigeria
J. A. Ikughur Department of Statistics, Joseph Sarwuan Tarka University, Makurdi, Benue State, Nigeria
S. C. Nwoasu
T. Uba Department of Statistics, Joseph Sarwuan Tarka University, Makurdi, Benue State, Nigeria

Keywords: Coefficient of variation, mean square error, estimators, efficiency.

Abstract

Surveys are frequently conducted repeatedly throughout the course of the years or seasons in order to
track changes in characteristics of interest. Estimation in current occasion is possible by utilizing facts
from prior occasion, we have spent time in working on the subject of population mean estimation in two
occasion successive sampling. An estimator T is Proposed by using the convex linear combination of
tow estimators
Tu
, based on u units of sample drawn afresh at the current occasion, and
Tm
, based on m
units, which is retained from the previous occasion. The mean square error expressions and bias of the
proposed estimator is calculated, and the best replacement strategy for the specified scenario is also
explained. An empirical study is carried out to evaluate the estimator’s efficiency. The coefficient of
variation (CV) and mean square error estimates shows that the suggested estimator is more efficient than
the current estimators taken into account in this study.

Author Biographies

D. T. Ailobhio1, Department of Statistics, University of Lafia, Nasarawa State, Nigeria

Department of Statistics, University of Lafia, Nasarawa State, Nigeria

J. A. Ikughur, Department of Statistics, Joseph Sarwuan Tarka University, Makurdi, Benue State, Nigeria

Department of Statistics, Joseph Sarwuan Tarka University, Makurdi, Benue State, Nigeria

S. C. Nwoasu

Department of Statistics, Joseph Sarwuan Tarka University, Makurdi, Benue State, Nigeria

T. Uba, Department of Statistics, Joseph Sarwuan Tarka University, Makurdi, Benue State, Nigeria

Department of Statistics, Joseph Sarwuan Tarka University, Makurdi, Benue State, Nigeria