TY  - JOUR
T1  - On Efficiency of Some Combined Ratio Estimators in Stratified Random Sampling
AU - , M.O. Gali AU - , A.A. Adewara AU - , M.O. Oladosu AU - , O.M. Olayiwola AU - , L.A. Nafiu 
JO  - Journal of Modern Mathematics and Statistics
VL  - 2
IS  - 5
SP  - 170
EP  - 173
PY  - 2008
DA  - 2001/08/19
SN  - 1994-5388
DO  - jmmstat.2008.170.173
UR  - https://makhillpublications.co/view-article.php?doi=jmmstat.2008.170.173
KW  - Efficiency
KW  -stratified
KW  -ratio
KW  -random
KW  -estimator
AB  - In this study, we compared two newly proposed combined ratio estimators in stratified random sampling to the conventional combined stratified random estimator. These two newly proposed combined ratio estimators are in line with the conventional combined stratified random estimator. Four data sets called populations 1-4 were used to justify this research work. While, population 1 is based on the total monthly income and total monthly expenditure of 86 occupants of Kubwa Federal Housing Authority, Phase IV Estate, Abuja, Nigeria, Population 2 is based on the total monthly income and total monthly expenditure of 95 occupants of Gwarinpa II Estate, Abuja, Nigeria. Also, while population 3 is based on the total monthly income and total monthly savings of 86 occupants of Kubwa Federal Housing Authority, Phase IV Estate, Abuja, Nigeria, Population 4 is based on the total monthly income and total monthly savings of 95 occupants of Gwarinpa II Estate, Abuja, Nigeria and from the variance estimates obtained, it was observed that each of this newly proposed estimator was better and preferred based on the conditions attached to their preference.
ER  - 