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Associations of Skeletal Muscle Mass and Percent Body Fat with Balance, Gait, and Locomotive Syndrome Risk in Community-dwelling Older Women. [PDF]

Prog Rehabil Med
Nishimoto J, Ono K, Taki S, Tanaka R.
europepmc   +1 more source

A Goodness-of-fit Test for Copulas [PDF]

Artem Prokhorov, Wanling Huang
core  

Note on the X2 test for goodness of fit

, 1929
Irwin, J. O.
core  

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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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Order Statistics in Goodness-of-Fit Testing

IEEE Transactions on Reliability, 2001
Our new method uses order statistics to judge the fit of a distribution to data. A test-statistic based on quantiles of order-statistics compares favorably with the Kolmogorov-Smirnov (K-S) and Anderson-Darling (A-D) test statistics. The performance of this new goodness-of-fit test statistic is examined with simulation experiments.
Andrew G. Glen, Lawrence M. Leemis, Donald R. Barr   +2 more
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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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A test of goodness of fit

Statistica Neerlandica, 1966
info:eu-repo/semantics ...
Vandewiele, Georges, De Witte, Paul
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