Results 101 to 110 of about 206,381 (135)
More powerful goodness-of-fit tests for uniform stochastic ordering. [PDF]
Comput Stat Data Anal, 2020 Wang D, Tang CF, Tebbs JM.
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Higher-Order Least Squares: Assessing Partial Goodness of Fit of Linear Causal Models. [PDF]
J Am Stat AssocSchultheiss C, Bühlmann P, Yuan M.
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A smoothing-based goodness-of-fit test of covariance for functional data. [PDF]
Biometrics, 2019 Chen ST, Xiao L, Staicu AM.
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A Bootstrap Method for Goodness of Fit and Model Selection with a Single Observed Network. [PDF]
Sci Rep, 2019 Chen S, Onnela JP.
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IEEE Software, 2006
It appears to be with software architectures: for a given domain, even across the decades, forces are at play that are best resolved by a common architectural pattern that allows variants. One architectural style might be deemed "better" than another for that domain because it better resolves those forces. In that sense, there's a goodness of fit - not
Fred Campano, Dominick Salvatore
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It appears to be with software architectures: for a given domain, even across the decades, forces are at play that are best resolved by a common architectural pattern that allows variants. One architectural style might be deemed "better" than another for that domain because it better resolves those forces. In that sense, there's a goodness of fit - not
Fred Campano, Dominick Salvatore
+4 more sources
2021
Disorder (HD) is a complex mental health problem defined by an overabundance of clutter, difficulty with organization and discarding, and problems regulating acquisition. This chapter describes the features of HD, evidence-based intervention approaches and outcomes, and the elements of a manualized treatment approach with emphasis on flexible delivery ...
Suzanne Otte +2 more
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Disorder (HD) is a complex mental health problem defined by an overabundance of clutter, difficulty with organization and discarding, and problems regulating acquisition. This chapter describes the features of HD, evidence-based intervention approaches and outcomes, and the elements of a manualized treatment approach with emphasis on flexible delivery ...
Suzanne Otte +2 more
openaire +2 more sources
2001
Abstract To review Gregor Mendel’s observations made on ornamental garden peas [Pisum sativum), particularly the correspondence to two specific ratios (3:1 and 2:1). In addition, to explore the question: do Mendel’s data correspond to these ratios too closely, indicating a bias in recording his experimental results?
Robert P. Trueblood, John N. Lovett
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Abstract To review Gregor Mendel’s observations made on ornamental garden peas [Pisum sativum), particularly the correspondence to two specific ratios (3:1 and 2:1). In addition, to explore the question: do Mendel’s data correspond to these ratios too closely, indicating a bias in recording his experimental results?
Robert P. Trueblood, John N. Lovett
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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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Improved Goodness-Of-Fit Tests
Biometrika, 1971Two statistics for testing goodness of fit for small sample sizes are provided. The first statistic, S, can be used to test the fit to any completely specified continuous distribution function and is more powerful than the Kolmogorov-Smirnov statistic in the cases tested.
Finkelstein, J. M., Schafer, R. E.
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