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Nonparametric Tests for Intercept in Linear Regression Problems
Author(s) -
Rao K. S. Madhava,
Gore A. P.
Publication year - 1982
Publication title -
australian journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.434
H-Index - 41
eISSN - 1467-842X
pISSN - 0004-9581
DOI - 10.1111/j.1467-842x.1982.tb00806.x
Subject(s) - nonparametric statistics , mathematics , statistics , nonparametric regression , sample (material) , linear regression , econometrics , simple linear regression , sample size determination , variable (mathematics) , mathematical analysis , chemistry , chromatography
Summary In this paper we demonstrate how various hypotheses of interest about the intercept parameter in one‐sample, two‐sample and several‐sample linear regressions could be tested by simple adaptations of familiar nonparametric procedures, when an experimenter has the liberty to choose the values of the independent variable. Asymptotic Relative Efficiencies of the proposed procedures are discussed.