MODIFIED MULTIVARIATE RATIO ESTIMATOR FOR ADAPTIVE CLUSTER SAMPLING

Oluwaseun Ayobami Wale-Orojo,; Abayomi Olumuyiwa Ajayi; Olaniyi Mathew Olayiwola; Omolola Dorcas Atanda

Oluwaseun Ayobami Wale-Orojo, Department of Statistics
Abayomi Olumuyiwa Ajayi Department of Statistics
Olaniyi Mathew Olayiwola Department of Statistics,
Omolola Dorcas Atanda Department of Statistics

Abstract

This study developed an improved measure of the Multivariate Ratio Estimator (MRE), which accommodates the Median and Kurtosis of auxiliary variable, in a network sampling. The adequacy of the estimator obtained for rare events via Adaptive Cluster (Networking) Sampling (ACS), was established via the estimation of its biasness and mean square error (MSE). Several estimators were compared to the obtained MRE via efficiency to ascertain the performance of MRE. Simulated and Secondary data from Nigeria Meteorological Agency was used to demonstrate the usefulness of the obtained estimator. The proposed modified Multivariate estimator is flexible as it accommodates several population parameters of the auxiliary information thereby increasing efficiency.

Author Biographies

Oluwaseun Ayobami Wale-Orojo,, Department of Statistics

Federal University of Agriculture Abeokuta, Ogun State, Nigeria

Abayomi Olumuyiwa Ajayi, Department of Statistics

Federal University of Agriculture Abeokuta

Olaniyi Mathew Olayiwola, Department of Statistics,

Federal University of Agriculture Abeokuta

Omolola Dorcas Atanda, Department of Statistics

Federal University of Agriculture Abeokuta,