AN OVERVIEW ON PARAMETRIC AND NON-PARAMETRIC METHODS TO MEASURE PERFORMANCE

  • Mihit, L.
  • Dudas, L.
  • Mircea, G.
  • Costea, F.
Abstract:
The present paper is concerned with reviewing different types of tools and methodologies that are already implemented for statistical analysis of performance and efficiency within the economic field. For this purpose, our attention considers both parametric and non-parametric methods and tries to identify the most appropriate ones. This research is oriented on different levels, namely on identifying the difference between parametric and non-parametric methods, their purpose and applications. Regarding the test performed in statistics, it is necessary to consider the followings: i) whether measurements are matched or unmatched, ii) whether measurements are at the interval, ordinal or categorical level, iii) whether the decisions are about differences between the populations from which samples come, or whether decisions are about associations between features within the population from which samples come. Even the discussion on whether parametric or non-parametric methods are more appropriate to be considered has been going on for decades; our results reveal that indeed, all the statistical techniques have both advantages and disadvantages, and it is up to anyone to weigh them up in the context of their own research objectives. For public sector performance measurement, non-parametric methods seem to be the method that has the potential to impose axiomatic properties and production frontier efficiency estimation.
SGEM Research areas:
Year:
2019
Type of Publication:
In Proceedings
Keywords:
parametric methods; non-parametric methods; performance; public sector
Volume:
6
SGEM Book title:
6th SWS International Scientific Conference on Social Sciences ISCSS 2019
Book number:
1
SGEM Series:
SWS International Scientific Conference on Social Sciences - ISCSS
Pages:
245-252
SGEM supporters:
Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
Period:
26 August – 1 September, 2019
ISBN:
978-619-7408-91-1
ISSN:
2682-9959
Conference:
6th SWS International Scientific Conference on Social Sciences ISCSS 2019, 26 August - 1 September, 2019
DOI:
10.5593/SWS.ISCSS.2019.1/S03.034
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