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of 19
pro vyhledávání: '"Lovleen Kumar Grover"'
Autor:
Lovleen Kumar Grover, Anchal Sharma
Publikováno v:
Journal of Statistical Theory and Applications (JSTA), Vol 22, Iss 4, Pp 283-308 (2023)
Abstract The present paper deals with the problem of estimation of finite population mean of study variable using two auxiliary variables in two-phase sampling scheme using predictive approach in case of missing values of the study variable and unkno
Externí odkaz:
https://doaj.org/article/5008ff6990994adbb118d752600785d1
Autor:
Lovleen Kumar Grover, Amanpreet Kaur
Publikováno v:
Journal of Statistics and Management Systems. 25:1425-1441
Autor:
Lovleen Kumar Grover, Amanpreet Kaur
Publikováno v:
Brazilian Journal of Probability and Statistics. 36
Autor:
Amanpreet Kaur, Lovleen Kumar Grover
Publikováno v:
Journal of Statistics and Management Systems. 24:1041-1057
In this article, we are concerned with the utilization of ranks of original auxiliary variable as an additional auxiliary variable and thus we propose an efficient estimator of population variance....
Autor:
Lovleen Kumar Grover, Amanpreet Kaur
Publikováno v:
Pakistan Journal of Statistics and Operation Research. :49-59
In this paper, we improve the efficiency of Koyuncu et al (2014)’s estimator of population mean of sensitive variable by replacing Traditional Randomized response technique with Optional Randomized response technique as suggested by Gupta et al (20
Autor:
Amanpreet Kaur, Lovleen Kumar Grover
Publikováno v:
Journal of Statistical Theory and Practice. 14
Shabbir (Commun Stat Theory Methods 47(1):92–101, 2018) suggested a new difference type estimator of finite population mean in stratified double sampling using the ranks of two auxiliary variables as additional information. In this paper, on applyi
Autor:
Lovleen Kumar Grover, Amanpreet Kaur
Publikováno v:
Communications in Mathematics and Statistics. 7:401-415
In the present paper, we propose an efficient scrambled estimator of population mean of quantitative sensitive study variable, using general linear transformation of non-sensitive auxiliary variable. Efficiency comparisons with the existing estimator
Autor:
Lovleen Kumar Grover, Amanpreet Kaur
Publikováno v:
Journal of the Royal Statistical Society Series B: Statistical Methodology. 82:269-271
Summary We point out a minor mistake in published in 2006, ‘A new randomized response model’, which as been cited by various researchers, though no one has pointed out the mistake.
Autor:
Lovleen Kumar Grover, Amanpreet Kaur
Publikováno v:
Journal of Computational and Applied Mathematics. 382:113072
In this paper, we have proposed an improved estimator of the population mean in simple random sampling without replacement by applying Searls (1964) technique on the estimator given by Roy (2003). We have also proposed its extension to stratified ran
Autor:
Lovleen Kumar Grover, Parmdeep Kaur
Publikováno v:
Open Journal of Statistics. :97-100
This paper proposes some exponential ratio type estimators of population mean under the situations when certain observations for some sampling units are missing. These missing observations may be for either auxiliary variable or study variable. The b