Calibration estimators for quantitative sensitive mean estimation under successive sampling

Kumari, Puja; Kumar, Ajay; Trisandhya, Pidugu

doi:10.1080/03610926.2019.1649430

Cited by 3 publications

(1 citation statement)

References 19 publications

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“…, Singh and Yadav (1992), Narain (1953) etc. provided an extensive bibliography based on traditional techniques of successive sampling while Rueda et al (2009), Singh et al (2021), Priyanka et al (2021) considered the problem of estimating the population parameters and used the calibration techniques under successive sampling. The calibration based method of Priyanka et al (2021) possesses many desirable properties which suggest that with successive sampling, more efficient use of auxiliary information is conceivable.…”

Section: Introductionmentioning

confidence: 99%

A Study of Calibration based Composite class of Estimators of Population Total under Successive Sampling

Alka,

Tiwari,

Rai

2024

Preprint

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This present article considers the problem of estimation of population total of the study character in successive sampling over two occasions under different sampling designs. Utilizing information available on a highly positively correlated auxiliary variable and also used information from previous occasion as an auxiliary information at current occasion together with the availability of additional auxiliary variables the calibration estimation has been derived at both occasions simultaneously further a set of composite calibrated estimators is proposed and its properties are discussed. Empirical studies have been carried out using both real and simulated data to show the efficiency of our proposed estimator over standard and existing estimator.

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Section: Introductionmentioning

confidence: 99%

A Study of Calibration based Composite class of Estimators of Population Total under Successive Sampling

Alka,

Tiwari,

Rai

2024

Preprint

View full text Add to dashboard Cite

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Calibration based chain ratio-type estimator of population total under successive sampling

Tiwari,

Alka,

Rai

2024

Int J Syst Assur Eng Manag

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Tuning design weights to deal with non-response in successive sampling

Kumari¹

2021

MAS

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The estimation of finite population mean at current occasion in two occasion successive sampling in presence of non-response is investigated using tuned jackknife estimators. Based on the availability of auxiliary information at population level (Info U) and sample level (Info s) and using tuned jackknife technique, estimators have been proposed. Estimator of variance of proposed estimators have also been discussed. Different cases of occurance of non-response have been explored. The estimators are mutually compared. The properties of these estimators are studied via simulation study using natural population.

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Calibration estimators for quantitative sensitive mean estimation under successive sampling

Cited by 3 publications

References 19 publications

A Study of Calibration based Composite class of Estimators of Population Total under Successive Sampling

A Study of Calibration based Composite class of Estimators of Population Total under Successive Sampling

Calibration based chain ratio-type estimator of population total under successive sampling

Tuning design weights to deal with non-response in successive sampling

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