Publications
Statistics in Transition New Series
Polish Statistical Association
Central Statistical Office of Poland
Subject: Economics, Statistics & Probability
ISSN: 1234-7655
eISSN: 2450-0291
SEARCH WITHIN CONTENT
M-ESTIMATORS IN BUSINESS STATISTICS
Keywords : robust regression, M-estimation, business statistics, outliers
Citation Information : Statistics in Transition New Series. Volume 17, Issue 4, Pages 749-762, DOI: https://doi.org/10.21307/stattrans-2016-050
License : (CC BY 4.0)
Published Online: 07-July-2017
- ARTICLE
- FIGURES & TABLES
- REFERENCES
- EXTRA FILES
- COMMENTS
ARTICLE
ABSTRACT
Recent years have seen a dynamic development in statistical methods for analysing data contaminated with outliers. One of the more important techniques that can deal with outlying observations is robust regression, which represents four decades of research. Until recently the implementation of robust regression methods, such as M-estimation or MM-estimation, was limited owing to their iterative nature. With advances in computing power and the growing availability of statistical packages, such as R and SAS, Stata, the applicability of robust regression methods has increased considerably.The aim of the study is to evaluate one of these methods, namely M-estimation, using data from a survey of small and medium-sized businesses. The comparison involves nine M-estimators, each based on a different weighting function. The results and conclusions are formulated on the basis of empirical data from the DG-1 business survey.
FIGURES & TABLES
REFERENCES
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