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Application of the S-procedure in multiple comparisons for nonlinear models

Kyu Bark Shim ()

Edelweiss Applied Science and Technology, 2024, vol. 8, issue 6, 5145-5149

Abstract: Zerbe (1979) characterized the growth curve model as one of the nonlinear models. For these models, we propose a comprehensive procedure to identify significant differences in multiple comparisons of fully randomized growth curve models. Research applying Scheffé’s S-procedure to growth curve models as a subclass of nonlinear models has yet to be conducted. Our findings demonstrate that the S-procedure is an effective method for discerning important differences within a fully randomized growth curve model.

Keywords: Growth curves; Hypothesis testing; Multiple comparison; Nonlinear models; S-procedure. (search for similar items in EconPapers)
Date: 2024
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