goodness of fit

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goodness of fit

[¦gu̇d·nəs əv ′fit]
(statistics)
The degree to which the observed frequencies of occurrence of events in an experiment correspond to the probabilities in a model of the experiment. Also known as best fit.

goodness of fit

the degree to which observations in a data set conform to an expected distribution predicted from a model. See also CHI SQUARE2 ).
References in periodicals archive ?
To apply the non-parametric 'Kolmolgorov-Smirnov (K-S)' and 'Chi-square' test of 'Goodness-of-Fit test' for the conformity of the Lotka's law.
Total###145###145###Chi-square goodness-of-fit test
Then, a post hoc analysis using the ranks of the goodness-of-fit was performed by the Tukey-Kramer test.
To determine how much the fit depends on these parameters, we next consider how much a parameter value can vary from its best-fit value and still give a goodness-of-fit metric [zeta] within 10% of the optimal value.
The goodness-of-fit indexes for this model were also inadequate (see Table 1), with CFIs below the standard cut-off, especially for the sample of adults.
Hosmer-Lemeshow goodness-of-fit test was adopted to assess the quality of predictions in the validation sets.
SE t Perceived social exclusion [right -.13 ** 0.05 -2.83 arrow] Recycling attitude Perceived social exclusion [right -.19 *** 0.06 -3.40 arrow] Subjective norm Perceived social exclusion [right .07 0.08 .98 arrow] Perceived behavior control Recycling attitude [right arrow] .22 *** 0.03 6.74 Recycling behavior Subjective norm [right arrow] .19 *** 0.09 10.79 Recycling behavior Perceived behavior control [right .34 *** 0.04 8.62 arrow] Recycling behavior The goodness-of-fit of the GFI = .953; AGFI = measurement model and a multiple .923; RMSEA = .058; NFI group analysis of the model = .951; CFI = .967; IFI = .967; PNFI = .670; PGFI = .0587; [chi square]/df=2.7 Relationship Group 1 (interdependent construal) coef.
We applied the following goodness-of-fit tests based on the empirical cdf: the Cramer-von Mises statistic [W.sup.2], the Watson statistic [U.sup.2], the Anderson-Darling statistic [A.sup.2] and the Kolmogorov-Smirnov statistic D.
Through this research, contribution of factors assumed to be influencing the performance of public and private schools teachers in Hyderabad district has been studied, using logistic regression analysis, while evaluating the goodness-of-fit indices.
Reviewing these statistics helps to evaluate the goodness-of-fit of the model.
The sign, magnitude and significance of coefficients were observed in the tests of hypotheses, as well as goodness-of-fit of models based on the following indicators: Goodness-of-Fit Index (GFI), Comparative Fit Index (CFI), Standardized Root Mean Residual (SRMR), and RMSEA.