中文
相关论文

相关论文: Method of estimation in the presence of non-respon…

200 篇论文

In order to estimate the population mean in the presence of both non-response and measurement errors that are uncorrelated, the paper presents some novel estimators employing ranked set sampling by utilizing auxiliary information.Up to the…

统计方法学 · 统计学 2023-11-06 Rajesh Singh , Anamika Kumari

In this paper we have considered the problem of estimating the population mean in systematic sampling using information on an auxiliary variable in presence of non response. Some modified ratio, product and difference type estimators in…

统计方法学 · 统计学 2014-03-06 Hemant K. Verma , R. D. Singh , Rajesh Singh

The present paper presents the detail discussion on estimation of population mean in simple random sampling in the presence of non-response. Motivated by Gupta and Shabbir (2008), we have suggested the class of estimators of population mean…

统计理论 · 数学 2014-05-15 Manoj Kr. Chaudhary , Anil Prajapati , Rajesh Singh , Florentin Smarandache

This paper considers the problem of estimating the population mean using information on auxiliary variable in presence of non response. Exponential ratio and exponential product type estimators have been suggested and their properties are…

综合数学 · 数学 2009-06-16 Rajesh Singh , Mukesh Kumar , Manoj K. Chaudhary , Florentin Smarandache

In this paper we have proposed a general class of modified regression type estimator in systematic sampling under non-response to estimate the population mean using auxiliary information. The expressions of bias and mean square error (MSE)…

统计方法学 · 统计学 2013-06-27 Hemant Verma , R. D. Singh , Rajesh Singh

This article presents the problem of estimating the population mean using auxiliary information in the presence of measurement errors. A numerical study is made among the proposed estimator, the exponential ratio estimator, Singh and…

应用统计 · 统计学 2014-05-19 Sachin Malik , Rajesh Singh

This article addresses the problem of estimating the population mean in the presence of auxiliary information when study variable itself is qualitative in nature. Bias and mean squared error (MSE) expressions of the class of estimators are…

统计理论 · 数学 2013-12-12 Rajesh Singh , Prayas Sharma

This paper suggests a generalized class of estimators for population mean of the qualitative study variable in simple random sampling using information on an auxiliary variable. Asymptotic expressions of bias and mean square error of the…

统计理论 · 数学 2014-09-18 Prayas Sharma , Hemant K. Verma , Rajesh Singh

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 proposed by Khoshnevisan et al. (2007). In this paper we have…

统计理论 · 数学 2013-05-09 M. K. Chaudhary , Sachin Malik , Jayant Singh , Rajesh Singh

The purpose of writing this book is to suggest some improved estimators using auxiliary information in sampling schemes like simple random sampling and systematic sampling. This volume is a collection of five papers. The following problems…

统计理论 · 数学 2013-08-28 Rajesh Singh , Florentin Smarandache

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 errors. The mean square error (MSE) of the proposed estimator…

应用统计 · 统计学 2013-12-05 Sachin Malik , Jayant Singh , Rajesh Singh

This paper deals with the problem of estimating the finite population mean when some information on two auxiliary attributes are available. It is shown that the proposed estimator is more efficient than the usual mean estimator and other…

统计理论 · 数学 2013-02-08 Sachin Malik , Rajesh Singh

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.

综合数学 · 数学 2007-05-23 Jack Allen , Housila P. Singh , Florentin Smarandache

In this paper we have suggested difference-type estimator for estimation of population mean of the study variable y in the presence of measurement error using auxiliary information. The optimum estimator in the suggested estimator has been…

统计理论 · 数学 2014-10-02 Viplav Kr. Singh , Rajesh Singh , Florentin Smarandache

This article suggests an efficient class of estimators of population median of the study variable using an auxiliary variable. Asymptotic expressions of bias and mean square error of the proposed class of estimators have been obtained.…

统计理论 · 数学 2014-02-25 Prayas Sharma , Rajesh Singh

In the presence of auxiliary information, model-assisted estimators rely on a working model linking the variable of interest to the auxiliary variables in order to improve the efficiency of the Horvitz-Thompson estimator. Model-assisted…

统计方法学 · 统计学 2025-12-11 Caren Hasler , Esther Eustache

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 square error (MSE) is derived and compared with the mean…

统计理论 · 数学 2013-11-27 Jayant Singh , Viplav K. Singh , Sachin Malik , Rajesh Singh

In this paper, a procedure is given for estimating the population mean in simple random sampling without replacement in the presence of auxiliary information. The mean squared error expressions of the proposed estimators have been derived…

统计理论 · 数学 2013-08-28 Rajesh Singh , Mukesh Kumar , Manoj K. Chaudhary

The present study discuss the problem of estimating the finite population mean using auxiliary attribute in stratified random sampling. In this paper taking the advantage of point bi-serial correlation between the study variable and…

统计理论 · 数学 2014-08-13 Hemant K. Verma , Prayas Sharma , Rajesh Singh

In this paper we have proposed an almost unbiased estimator using known value of some population parameter(s) with known population proportion of an auxiliary variable. A class of estimators is defined which includes [1], [2] and [3]…

应用统计 · 统计学 2014-06-04 Sachin Malik , Rajesh Singh , SB Gupta
‹ 上一页 1 2 3 10 下一页 ›