4 citations · 6 across the 6 of their papers we have counts for
6 papers
A family of estimators for estimating the population mean in simple random sampling under measurement errors
Sachin Malik, Jayant Singh, Rajesh Singh
In this article we have suggested an improved estimator for estimating the population mean in simple random sampling using auxiliary information under the presence of measurement e…
Use of Auxiliary Information in Variance Estimation
Jayant Singh, Viplav K. Singh, Sachin Malik +1
This paper proposes a class of ratio type estimators of finite population variance, when the population variance of an auxiliary character is known. Asymptotic expression for mean…
A General Family of Estimators for Estimating Population Mean in Systematic Sampling Using Auxiliary Information in the Presence of Missing Observations
M. K. Chaudhary, Sachin Malik, Jayant Singh +1
This paper proposes a general family of estimators for estimating the population mean in systematic sampling in the presence of non-response adapting the family of estimators propo…
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…
Optimum Statistical Test Procedure
Rajesh Singh, Jayant Singh, Florentin Smarandache
In this paper we obtain a test which minimizes the sum of the two error probabilities irrespective of whether is known or unknown.
A Note on Testing of Hypothesis
Rajesh Singh, Jayant Singh, Florentin Smarandache
In this paper, a problem of testing is discussed when the samples have been drawn from the normal distribution. The study of hypothesis testing is also extended to Baye's set up.