Open AccessLess parametric methods in statistics
Author(s) -
Laurence Weldon
Publication year - 2005
Publication title -
metodološki zvezki
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.127
H-Index - 7
eISSN - 1854-0031
pISSN - 1854-0023
DOI - 10.51936/uuvw9640
Subject(s) - parametric statistics , objectivity (philosophy) , computer science , context (archaeology) , econometrics , estimation , parametric model , nonparametric statistics , statistics , revelation , statistical analysis , statistical hypothesis testing , data science , mathematics , epistemology , history , economics , philosophy , management , archaeology , theology
Despite forty years of revolution in the tools available for statistical analysis, the current academic tradition in statistics is remarkably similar to the pre-computer tradition. This tradition is rooted in parametric modeling, estimation, and testing, and optimal procedures based on these models. The paper argues for a shift in emphasis away from parametric modeling and estimation to graphical summary, from omnibus optimal techniques to those that are more context-specific, and from goals of objectivity to goals of revelation. It is suggested that the emphasis in statistical education should be rebalanced to reflect certain modern computer-based techniques.