12 citations · 13 across the 7 of their papers we have counts for
7 papers
Unbiased Ratio-Type Estimator Using Transformed Auxiliary Variable In Negative Correlation Case
Jayant Singh, Housila P. Singh, Rajesh Singh
The objective of this paper is to propose an unbiased ratio-type estimator for finite population mean when the variables are negatively correlated. Hartley and Ross[2] and Singh an…
Computational Modeling in Applied Problems: collected papers on econometrics, operations research, game theory and simulation
Florentin Smarandache, Sukanto Bhattacharya, Mohammad Khoshnevisan +5
Computational models pervade all branches of the exact sciences and have in recent times also started to prove to be of immense utility in some of the traditionally 'soft' sciences…
Empirical Study in Finite Correlation Coefficient in Two Phase Estimation
M. Khoshnevisan, F. Kaymarm, H. P. Singh +2
This paper proposes a class of estimators for population correlation coefficient when information about the population mean and population variance of one of the variables is not a…
Econometric Analysis on Efficiency of Estimator
M. Khoshnevisan, F. Kaymram, Housila P. Singh +2
This paper investigates the efficiency of an alternative to ratio estimator under the super population model with uncorrelated errors and a gamma-distributed auxiliary variable. Co…
A Family of Estimators of Population Mean Using Multiauxiliary Information in Presence of Measurement Errors
Jack Allen, Housila P. Singh, Florentin Smarandache
This paper proposes a family of estimators of population mean using information on several auxiliary variables and analyzes its properties in the presence of measurement errors.
A General Class of Estimators of Population Median Using Two Auxiliary Variables in Double Sampling
Jack Allen, Housila P. Singh, Sarjinder Singh +1
In this paper we have suggested two classes of estimators for population median M_Y of the study character Y using information on two auxiliary characters X and Z in double samplin…