A new family of robust regression estimators utilizing robust regression tools and supplementary attributes
نویسندگان
چکیده
Abstract Zaman and Bulut (2018a) developed a class of estimators for population mean utilising LMS robust regression supplementary attributes. In this paper, family is proposed, based on the adaptation presented by (2019), followed introduction new regression-type tools (LAD, H-M, LMS, H-MM, Hampel-M, Tukey-M, LTS) The square error expressions adapted proposed families are determined through general formula. study demonstrates that (2019) in every case more proficient than (2018a). addition, attributes efficient those (2019).The theoretical findings supported real-life examples.
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ژورنال
عنوان ژورنال: Statistics in Transition New Series
سال: 2021
ISSN: ['1234-7655', '2450-0291']
DOI: https://doi.org/10.21307/stattrans-2021-012