Sample size planning for testing significance of curves

Hsiao-Hsian Gao and Li-Shan Huang

Journal of Applied Statistics, 2016, vol. 43, issue 11, 2019-2028

Abstract: Smoothing methods for curve estimation have received considerable attention in statistics with a wide range of applications. However, to our knowledge, sample size planning for testing significance of curves has not been discussed in the literature. This paper focuses on sample size calculations for nonparametric regression and partially linear models based on local linear estimators. We describe explicit procedures for sample size calculations based on non- and semi-parametric F-tests. Data examples are provided to demonstrate the use of the procedures.

Date: 2016
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DOI: 10.1080/02664763.2015.1126238

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