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  • Statistics In Transition


Article | 27-May-2019


This paper addresses the problem of estimation of population mean of sensitive character using non-sensitive auxiliary variable at current wave in two wave successive sampling. A general class of estimator is proposed and studied under randomized and scrambled response model. Many existing estimators have been modified to work for sensitive population mean estimation. The modified estimators became the members of proposed general class of estimators. The detail properties of all the estimators

Kumari Priyanka, Pidugu Trisandhya

Statistics in Transition New Series, Volume 20 , ISSUE 1, 41–65

Article | 13-June-2021

A comparative study of a class of direct estimators for domain mean with a direct ratio estimator for domain mean using auxiliary character

Brij Behari Khare, Ashutosh Ashutosh, Piyush Kant Rai

Statistics in Transition New Series, Volume 22 , ISSUE 2, 189–200

Article | 03-March-2021

A new family of robust regression estimators utilizing robust regression tools and supplementary attributes

Zaman and Bulut (2018a) developed a class of estimators for a population mean utilising LMS robust regression and supplementary attributes. In this paper, a family of estimators is proposed, based on the adaptation of the estimators presented by Zaman (2019), followed by the introduction of a new family of regression-type estimators utilising robust regression tools (LAD, H-M, LMS, H-MM, Hampel-M, Tukey-M, LTS) and supplementary attributes. The mean square error expressions of the adapted and

Irsa Sajjad, Muhammad Hanif, Nursel Koyuncu, Usman Shahzad, Nadia H. Al-Noor

Statistics in Transition New Series, Volume 22 , ISSUE 1, 207–216

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