Hypotheses were scored on their goodness of fit to the input.

Third, there are a number of criteria for goodness of fit.

A good model selection technique will balance goodness of fit with simplicity.

The assumed statistical model should be tested using goodness of fit tests and other techniques.

Nested models are then tested for their goodness of fit starting at the most complex.

R is a statistic that will give some information about the goodness of fit of a model.

In engineering terms tolerance is the goodness of fit that is demanded.

In regression analysis, the following topics relate to goodness of fit:

The goodness of fit for the reaction data matched the ML model.

Their relative goodness of fit cannot properly be judged because the hypotheses do not cover the same input.

The resulting value can be compared to the chi-squared distribution to determine the goodness of fit.

"Goodness of fit" became the important issue.

"Significance tests and goodness of fit in the analysis of covariance structures".

As a result, the typical measure of goodness of fit, the correlation coefficient R, is not applicable.

Goodness of fit of this model can be tested in a number of ways including using the chi square test.

When estimation methods are used, models are evaluated based on standard statistical goodness of fit criteria.

The goodness of fit of a statistical model describes how well it fits a set of observations.

Evolutionary theory proposes that organisms survive due to the goodness of fit between their characteristics and their environment.

The Khmaladze transformation allows us to construct goodness of fit tests with desirable properties.

MML naturally and precisely trades model complexity for goodness of fit.

This can provide an assessment of "goodness of fit" that is graphical, rather than reducing to a numerical summary.

To determine whether the solution meets cultural consensus criteria, that only a single factor is present, a goodness of fit rule is used.

However, there are approximate protocols for estimating the parameter using the chi-squared goodness of fit statistic.

The Kolmogorov-Smirnov test can be modified to serve as a goodness of fit test.

The resulting goodness of fit of the 45 line gives a measure of the difference between a sample set and the theoretical distribution.