ON THE CALIBRATION OF SILVERMAN'S TEST FOR MULTIMODALITY

By Peter Hall, M. York. 2001

162 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/462ef773ba595f489584c5cd5d69c451f1abead1

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Citations in the corpus

A likelihood ratio test for bimodality in two-component mixtures with application to regional income distribution in the EU (2008, methodology): “See also Mammen et al. (1992), Fisher et al. (1994) and Hall and York (2001).”
Modes, Weighted Modes, and Calibrated Modes: Evidence of Clustering Using Modality Tests* (2008, methodology): “Thus, yi is 2 Hall and York (2001) show that another benefit of using the standard normal kernel to determine modality is that, unless the first three derivatives of the density simultaneously vanish at a given mode, the bumps and troughs of the density remain separated as the bandwidth is decreased”
Asymmetry and Gradient Asymmetry Functions: Density‐Based Skewness and Kurtosis (2008, methodology): “A general strategy might be to utilize Silverman’s (1981) test of unimodality which depends on the size of the smallest h=hc necessary to obtain a single mode (see also Fisher et al., 1994; Fraiman & Meloche, 1999; Hall & York, 2001).”
Departures from Gibrat's Law, Discontinuities and City Size Distributions (2007, methodology): “City size distributions were analysed with simulations that compared actual data with a null distribution established by calculating a kernel density estimate of the log-transformed data (Hall and York, 2001).”
Corporate growth and industrial dynamics: evidence from French manufacturing (2005, background): “Hall and York (2001) show that this choice is biased towards conservatism and propose an improved procedure to achieve asymptotic accuracy.”