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Location estimates for single samples
1989In Chapters 2 to 7 we consider data that are either measurements or ranks specifying order of magnitude or preference. The latter are called ordinal data. Chapters 2 and 3 are devoted to single samples. Most practical problems involve comparison of, or studying relations between, several samples, but many basic nonparametric notions are applicable also
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Choosing a Two-Sample Location Test
The Journal of Experimental Education, 1994Abstract Type I error rate and power for the t test, Wilcoxon-Mann-Whitney (U) test, van der Waerden Normal Scores (NS) test, and Welch-Aspin-Satterthwaite (W) test were compared for two independent random samples drawn from nonnormal distributions. Data with varying degrees of skewness (S) and kurtosis (K) were generated using Fleishman's (1978) power
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Locating Sampling Points for Cubic Splines
1988Locating sampling points for cubic splines is investigated in this paper. The direct application of the proposal is for designing motion of objects for computer animation. The method consists of two parts: (i) obtaining the relative position of the sampling points, and (ii) mapping the sampling points on the cubic spline interpolant based on the ...
K. Harada, E. Nakamae
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Accurate WiFi-Based Indoor Positioning with Continuous Location Sampling
ECML/PKDD, 2018Jesper E. van Engelen +3 more
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Two-Sample Rank Procedures for Location
1981The previous chapters dealt with inference procedures applicable in one-sample (or paired-sample) problems. We now consider the situation where there are two mutually independent random samples, one from each of two populations. We discuss tests which apply to the null hypothesis that the two populations are identical and the confidence procedures ...
John W. Pratt, Jean D. Gibbons
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Map matching accuracy: Energy efficient location sampling using smartphones
International Conference on Intelligent Transportation Systems, 2013M. Alrefaie +4 more
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Time-location sampling with capture-recapture to assess specialised recreational fisheries
, 2014M. Zischke, S. Griffiths
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