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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

The present paper discusses the problem of estimating the finite population mean of study variable in simple random sampling in the presence of non response and response error together. The estimators in this article use auxiliary…

统计方法学 · 统计学 2014-04-08 Prayas Sharma , Rajesh Singh

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

In this paper we have suggested a family of estimators for the population mean when study variable itself is qualitative in nature. Expressions for the bias and mean square error (MSE) of the suggested family have been obtained. An…

综合数学 · 数学 2011-03-30 Rajesh Singh , Mukesh Kumar , Florentin Smarandache

In the present study, we propose estimators based on geometric and harmonic mean for estimating population mean using information on two auxiliary attributes in simple random sampling. We have shown that, when we have multi-auxiliary…

应用统计 · 统计学 2013-09-20 Rajesh Singh , Sachin Malik , A. A. Adewara , Florentin Smarandache

In the present study, we propose a new estimator for population mean of the study variable y in the case of stratified random sampling using the information based on auxiliary variable x. Expression for the mean squared error (MSE) of the…

应用统计 · 统计学 2014-07-25 Sachin Malik , Viplav Kumar Singh , Rajesh Singh

Kadilar and Cingi (2003) have introduced a family of estimators using auxiliary information in stratified random sampling. In this paper, we propose the ratio estimator for the estimation of population mean in the stratified random sampling…

统计理论 · 数学 2013-01-23 Rajesh Singh , Mukesh Kumar , R. D. Singh , M. K. Chaudhry

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 exponential ratio and exponential product type estimators using two auxiliary variables are proposed for estimating unknown population variance $S_y^2$. Problem is extended to the case of two-phase sampling. Theoretical…

综合数学 · 数学 2009-02-03 Rajesh Singh , Pankaj Chauhan , Nirmala Sawan , Florentin Smarandache

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 and Singh [6] estimators are identified as particular cases of…

统计方法学 · 统计学 2012-10-11 Jayant Singh , Housila P. Singh , Rajesh Singh

In sample survey, when data is collected, it is assumed that whatever is reported by respondent is correct. However, given the issues of prestige bias, personal respect, respondents self reported data often produces over-or-under estimated…

统计理论 · 数学 2015-03-05 Viplav Kumar Singh , 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

An effective two-stage method for an estimation of parameters of the linear regression is considered. For this purpose we introduce a certain quasi-estimator that, in contrast to usual estimator, produces two alternative estimates. It is…

统计理论 · 数学 2010-10-06 Anatoly Gordinsky

A bias-reduced estimator is proposed for the mean absolute deviation parameter of a median regression model. A workaround is devised for the lack of smoothness in the sense conventionally required in general bias-reduced estimation. A local…

统计方法学 · 统计学 2023-05-04 Michele Lambardi di San Miniato

We proposed new and more efficient estimators for estimating population proportion of respondents belonging to two related sensitive attributes in survey sampling by extending the work of Mangat (1994). Our proposed estimators are more…

统计方法学 · 统计学 2016-01-05 Olusegun S. Ewemooje , Godwin N. Amahia

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 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 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

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 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