Results 241 to 250 of about 166,175,756 (300)

Development and Validation of the ClimHealth-K: A Scale for Assessing Perceived Knowledge and Awareness of Climate Change-Related Health Effects. [PDF]

Nurs Health Sci
Ülger TG, Gençer Şendur E, Tunçer E, Çelik İ, Bektaş M.   +4 more
europepmc   +1 more source

Rolling contact fatigue dataset for AISI 52100 bearing steel balls under calcium grease lubrication. [PDF]

Sci Data
Bhaumik S, Kumar R P, Bharathwaj R.
europepmc   +1 more source

Development and validation of a multidimensional organizational dehumanization scale: Evidence from higher education. [PDF]

PLoS One
Kazazoglu S, Sahin D, Guzeller CO, Ilhan-Findikoglu D, Findikoglu F.   +4 more
europepmc   +1 more source

Measuring the influence of commercial determinants of health at the individual level: Protocol for tool development and validation. [PDF]

BMJ Open
Ramanarayanan V, Krishna D, Mehta A, Mathur MR.   +3 more
europepmc   +1 more source

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Smooth Tests of Goodness of Fit

Technometrics, 1991
AbstractSmooth tests of goodness of fit assess the fit of data to a given probability density function within a class of alternatives that differs ‘smoothly’ from the null model. These alternatives are characterized by their order: the greater the order the richer the class of alternatives. The order may be a specified constant, but data‐driven methods
Rayner, J. C. W., Thas, O., Best, D. J.
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Length tests for goodnesss-of-fit

Biometrika, 1991
Consider an i.i.d. sample X 1,..., X n with distribution function F, which throughout is assumed to be twice continuously differentiable with support [0,1] and strictly positive derivative on [0,1]. Denote by $$0={X_{0:n}}\leqslant {X_{1:n}}\leqslant\cdots\leqslant{X_{n:n}}\leqslant{X_{n+1:n}}=1$$ (1) the order statistics, and the spacings by
Reschenhofer, Erhard, Bomze, Immanuel
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A new goodness-of-fit statistical test

Intelligent Decision Technologies, 2007
We introduce a new concept of nonparametric test for statistically deciding if a model fits a sample of data well. The employed statistic is the empirical cumulative distribution (e.c.d.f.) of the measure of the blocks determined by the ordered sample.
B. Apolloni, S. Bassis
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Goodness-of-Fit Tests on a Circle. II

Biometrika, 1961
Abstract : A statistical analysis is made by use of the null hypothesis test for random samples which have been drawn from a population with the continuous distribution function F(x). It is useful for distributions on a circle since its value does not depend on the arbitrary point chosen to begin cumulating the probability density and the sample points.
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