Some efficient classes of estimators of population mean in two-phase successive sampling under random non response

Singh, G. N.; Khalid, Mohd; Sharma, A. K.

doi:10.1080/03610926.2017.1291973

Cited by 11 publications

(3 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Zaman et al 12 discussed robust ratio‐type estimators for finite population mean in simple random sampling. Singh et al 13 discussed some efficient classes of estimators of population mean in two-phase successive sampling under random non response. Singh and Khalid 14 proposed some imputation methods to compensate with non-response for estimation of population mean in two-occasion successive sampling.…”

Section: Introductionmentioning

confidence: 99%

A new improved generalized class of estimators for population distribution function using auxiliary variable under simple random sampling

Ahmad

Ullah

Zahid

et al. 2023

Sci Rep

View full text Add to dashboard Cite

This article aims to suggest a new improved generalized class of estimators for finite population distribution function of the study and the auxiliary variables as well as mean of the usual auxiliary variable under simple random sampling. The numerical expressions for the bias and mean squared error (MSE) are derived up to first degree of approximation. From our generalized class of estimators, we obtained two improved estimators. The gain in second proposed estimator is more as compared to first estimator. Three real data sets and a simulation are accompanied to measure the performances of our generalized class of estimators. The MSE of our proposed estimators is minimum and consequently percentage relative efficiency is higher as compared to their existing counterparts. From the numerical outcomes it has been shown that the proposed estimators perform well as compared to all considered estimators in this study.

show abstract

Section: Introductionmentioning

confidence: 99%

A new improved generalized class of estimators for population distribution function using auxiliary variable under simple random sampling

Ahmad

Ullah

Zahid

et al. 2023

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Some researchers such as Singh and Joarder [14] and Ahmed et al [15] suggested estimating fnite population variance under random nonresponse using auxiliary information. Singh et al [16], Pankov et al [17], Musaev [18], Noor and Noor [19], and Singh and Khalid [20,21] proposed a strategy to estimate the population mean and variance in the presence of random nonresponse using two-phase successive sampling. Bhushan and Pratap Pandey [22] presented some ratio and product-type estimators of fnite population variance in the presence of random nonresponse using auxiliary information.…”

Section: Introductionmentioning

confidence: 99%

Generalized Class of Finite Population Variance in the Presence of Random Nonresponse Using Simulation Approach

2023

View full text Add to dashboard Cite

In this article, we estimate the finite population variance in random nonresponse using simple random sampling, which may be helpful for data analysis in applied and environmental sciences. For the three distinct random nonresponse techniques by Singh and Joarder [25], we have proposed a generalized class of exponential-type estimators that uses an auxiliary variable. Up to the first order of approximation, expressions of the bias and mean square error of the proposed estimators are obtained. The suggested estimators illustrate their superior performances to the current estimators in the comparable strategies in a comparative analysis using the real and simulated datasets.

show abstract

“…Surveying in which the sampling is done on successive occasions (over years , seasons, months, or weeks) according to the specified rule , with partial replacement of units is called successive (rotation) sampling. Beginning with the work of Jessen (1942) and followed by Patterson (1950), Eckler (1955), Rao and Graham (1964), Singh et al (1992) and Singh (2005) among others have developed the theory of successive sampling. Feng and Zou (1997) and Biradar and Singh (2001) ρ between the auxiliary variables x and z are known.…”

Section: Introductionmentioning

confidence: 99%

Efficient Utilization of Auxiliary Information on Estimation of Population Mean Using Exponential Type Estimators in Successive Sampling

Pal¹,

Singh²

2017

JSTA

View full text Add to dashboard Cite

This paper advocates the problem of estimating the population mean on the current occasion in two occasion successive (rotation) sampling under the transformed auxiliary variable using exponential method of estimation. Four different type estimators are suggested for estimating the current population mean in two occasion successive (rotation) sampling. Optimum replacement policies and performance of suggested estimators have been discussed. Outcomes are interpreted through empirical study.

show abstract

Some efficient classes of estimators of population mean in two-phase successive sampling under random non response

Cited by 11 publications

References 18 publications

A new improved generalized class of estimators for population distribution function using auxiliary variable under simple random sampling

A new improved generalized class of estimators for population distribution function using auxiliary variable under simple random sampling

Generalized Class of Finite Population Variance in the Presence of Random Nonresponse Using Simulation Approach

Efficient Utilization of Auxiliary Information on Estimation of Population Mean Using Exponential Type Estimators in Successive Sampling

Contact Info

Product

Resources

About