An improved estimation procedure of population mean in two-occasion successive sampling

Singh, G. N.; Singh, Abhishek

doi:10.1080/03610926.2014.911911

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…Sometimes, information on auxiliary variable is not available for all the units of population, for such situation two-phase (double) sampling is a cost effective methodology for generating the valid estimates of unknown population parameters of auxiliary variable in first phase sample. Some of the novel works in two-phase (double) sampling may be referred as Chand [2], Kiregyera [4] [5], Mukharjee et al [7], Srivastava et al [26], Singh and Singh [23], Singh et al [24], Singh and Upadhyaya [15], Upadhyaya and Singh [27], Singh [13], Pradhan [8], Bandyopadhyay and Singh [1] and Singh and Sharma [16] [17] among others. In sample surveys due to various reasons often it is not possible to collect the desired information from all the units selected in the sample.…”

Section: Introductionmentioning

confidence: 99%

Effective estimation of population mean, ratio and product in two-phase sampling in presence of random non-response

Singh¹,

Sharma²,

Bandyopadhyay³

et al. 2016

HJMS

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This paper presents some effective estimation strategies of population mean, ratio and product of two population means in two-phase (double) sampling when random non-response observed in the sample data. Proposed estimators are defined using a random imputation method which is capable in reducing the negative impact of random non-response in two-phase (double) sampling setup. Properties of proposed estimators have been examined and their performances are compared with sample mean, ratio and product estimators under the similar situations while the complete response was observed in the sample data. Empirical studies are carried out to validate the theoretical results, which are subsequently well interpreted followed by suitable recommendations.

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Section: Introductionmentioning

confidence: 99%

Effective estimation of population mean, ratio and product in two-phase sampling in presence of random non-response

Singh¹,

Sharma²,

Bandyopadhyay³

et al. 2016

HJMS

Self Cite

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show abstract

“…Singh and Singh (1965) used two-phase (double) sampling for stratification on successive occasions. Recently, Singh and Prasad (2011) and Singh and Homa (2014) applied two-phase sampling scheme with success in the estimation of the current population mean in twooccasion successive sampling.…”

Section: Introductionmentioning

confidence: 99%

Some Effective Estimation Procedures Under Non-Response in Two-Phase Successive Sampling

Singh

Khetan

Maurya

2016

Statistics in Transition New Series

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This work is designed to assess the effect of non-response in estimation of the current population mean in two-phase successive sampling on two occasions. Sub-sampling technique of non-respondents has been used and exponential methods of estimation under two-phase successive sampling arrangement have been proposed. Properties of the proposed estimation procedures have been examined. Empirical studies are carried out to justify the suggested estimation procedures and suitable recommendations have been made to the survey practitioners.

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A Review of Chain-Type Estimators and a New Chain-Type Multivariate Regression Approach for Population Mean Under Two-Occasion Successive Sampling

Singh

Pal

2016

Proc. Natl. Acad. Sci., India, Sect. A Phys. Sci.

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An improved estimation procedure of population mean in two-occasion successive sampling

Cited by 5 publications

References 8 publications

Effective estimation of population mean, ratio and product in two-phase sampling in presence of random non-response

Effective estimation of population mean, ratio and product in two-phase sampling in presence of random non-response

Some Effective Estimation Procedures Under Non-Response in Two-Phase Successive Sampling

A Review of Chain-Type Estimators and a New Chain-Type Multivariate Regression Approach for Population Mean Under Two-Occasion Successive Sampling

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