Less parametric methods in statistics | Zendy

Laurence Weldon | Zendy

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Less parametric methods in statistics

Author(s) -

Laurence Weldon

Publication year - 2005

Publication title -

advances in methodology and statistics

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.

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