Advances in estimation by the item sum technique in two move successive sampling

Kumari Priyanka; Pidugu Trisandhya

doi:https://doi.org/10.59170/stattrans-2023-055

Advances in estimation by the item sum technique in two move successive sampling

Kumari Priyanka Department of Mathematics, Shivaji College(University of Delhi), New Delhi-110027, India ORCID:https://orcid.org/0000-0002-6241-1708 , Pidugu Trisandhya Department of Applied Sciences, Bharati Vidyapeeth’s College of Engineering, New Delhi-110063, India ORCID:https://orcid.org//0000-0002-6671-6541 Statistics in Transition new series, vol. 24, 2023, 4, pages: 123-138 Published online: 8 September 2023 https://doi.org/10.59170/stattrans-2023-055 Citation: Priyanka, K., Trisandhya, P., 2023. Advances in estimation by the item sum technique in two move successive sampling. Statistics in Transition new series, 24(4), pp. 123-138. https://doi.org/10.59170/stattrans-2023-055

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ABSTRACT

The present article proposes an estimator using the Item Sum Technique (IST) for the estimation of dynamic sensitive population mean using non-sensitive auxiliary information in the two-move successive sampling. Properties of the proposed IST estimator have been analysed. Possible allocation designs for allocating long-list and short-list samples pertaining to the IST have been elaborated. The comparison between various allocation designs has been carried out. Theoretical considerations have been integrated with numerical as well as simulation studies to show the working version of the proposed IST estimators in the two-move successive sampling.

KEYWORDS

Sensitive variable, Successive moves, Population mean, Variance, Mean squared error, Optimum matching fraction

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