Results 191 to 200 of about 751,220 (246)
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
Biometrika, 1975
SUMMARY Fitting a parametric model or estimating a parametric density function plays an important role in a number of statistical applications. Two widely-used methods, one replacing the unknown parameter by an efficient estimate and so termed estimative and the other using a mixture of the possible density functions and commonly termed predictive, are
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SUMMARY Fitting a parametric model or estimating a parametric density function plays an important role in a number of statistical applications. Two widely-used methods, one replacing the unknown parameter by an efficient estimate and so termed estimative and the other using a mixture of the possible density functions and commonly termed predictive, are
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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.
openaire +1 more source