Results 211 to 220 of about 213,637 (250)
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2001
The airport limousine example in Chapter 2 illustrates how important the knowledge of random distribution of data and the shape of the histogram can be to drawing statistically sound conclusions. Although we didn’t state it in the example, the assumption that the data followed a known statistical distribution was inherent in the calculations of the ...
Robert P. Trueblood, John N. Lovett
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The airport limousine example in Chapter 2 illustrates how important the knowledge of random distribution of data and the shape of the histogram can be to drawing statistically sound conclusions. Although we didn’t state it in the example, the assumption that the data followed a known statistical distribution was inherent in the calculations of the ...
Robert P. Trueblood, John N. Lovett
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1987
As before, let ξ1, ..., ξn be univariate independent random variables with the same continuous d.f. F Recall $${\text{D}}_{\text{n}} = \mathop {\sup }\limits_{\text{t}} |{\text{F}}_{\text{n}} \left( {\text{t}} \right) - {\text{F}}\left( {\text{t}} \right)| $$ , the Kolmogorov goodness of fit statistic.
Peter Gaenssler, Winfried Stute
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As before, let ξ1, ..., ξn be univariate independent random variables with the same continuous d.f. F Recall $${\text{D}}_{\text{n}} = \mathop {\sup }\limits_{\text{t}} |{\text{F}}_{\text{n}} \left( {\text{t}} \right) - {\text{F}}\left( {\text{t}} \right)| $$ , the Kolmogorov goodness of fit statistic.
Peter Gaenssler, Winfried Stute
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1999
Goodness-of-fit tests for continuos distributions are generally handled by the Kolmogorov-Smirnov test which in its classical form requires that the distribution is completely specified. In practice this is seldom the case and one then resorts to estimating parameters from the data and then examining Kolmogorov-Smirnov “type” tests. The standard tables
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Goodness-of-fit tests for continuos distributions are generally handled by the Kolmogorov-Smirnov test which in its classical form requires that the distribution is completely specified. In practice this is seldom the case and one then resorts to estimating parameters from the data and then examining Kolmogorov-Smirnov “type” tests. The standard tables
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Goodness-of-fit of statistical distributions
Encyclopedia with Semantic Computing and Robotic Intelligence, 2018Goodness-of-fit is used for the evaluation a model. They are commonly used to compare among competing models. The material is mostly classic. For more on the subject the reader is referred to the References including the two revised volumes Bickel and Docksum (2016).
Joseph R. Barr, Shelemyahu Zacks
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Journal of the American Statistical Association, 1967
Abstract This Paper defines a class of distribution free measures of goodness of fit; their exact distribution for small samples can be calculated by means of a computer. Two of them have the same asymptotic distribution as the Kolmogorov-Smirnov statistic.
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Abstract This Paper defines a class of distribution free measures of goodness of fit; their exact distribution for small samples can be calculated by means of a computer. Two of them have the same asymptotic distribution as the Kolmogorov-Smirnov statistic.
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GOODNESS OF FIT FOR THE BINOMIAL DISTRIBUTION
Australian Journal of Statistics, 1997SummaryGoodness of fit testing for the binomial distribution can be carried out using Pearson's X2p statistic and its components. Applications of this technique are considered and compared with recently suggested empirical distribution function tests. Diagnostic use of components is discussed.
Best, D. J., Rayner, J. C. W.
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Control and the Elderly: “Goodness-of-Fit”
The International Journal of Aging and Human Development, 1997The present study is an investigation of the effects of person-environment fit on control in an elderly population. Person-environment fit theory predicts that a fit or a match between the characteristics of the person and the characteristics of the environment is important in determining positive outcomes. In the present study, a measure of the misfit
K A, Wallace, C S, Bergeman
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A goodness-of-fit statistical toolkit
IEEE Transactions on Nuclear Science, 2004Statistical methods play a significant role through out the life-cycle of physics experiments, being an essential component of physics analysis. The present project in progress aims to developan object-oriented software Toolkit for statistical data analysis. The Toolkit contains a variety of Goodness-of-Fittests, from Chi-squared to Kolmogorov-Smirnov,
G. P. CIRRONE +9 more
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Goodness-of-Fit Tests on a Circle. II
Biometrika, 1961Abstract : 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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