goodness of fit वाक्य
उदाहरण वाक्य
मोबाइल
- A good model selection technique will balance goodness of fit with simplicity.
- MML naturally and precisely trades model complexity for goodness of fit.
- The Khmaladze transformation allows us to construct goodness of fit tests with desirable properties.
- The resulting value can be compared to the chi-squared distribution to determine the goodness of fit.
- When estimation methods are used, models are evaluated based on standard statistical goodness of fit criteria.
- The "'Hosmer Lemeshow test "'is a statistical test for goodness of fit for logistic regression models.
- Some tests ( for instance the ? 2 goodness of fit test ) are inherently one-tailed.
- Another way to examine goodness of fit would be to examine residuals as a function of x.
- Evolutionary theory proposes that organisms survive due to the goodness of fit between their characteristics and their environment.
- The type of "'ML n "'model varies among asymmetric reactions, based on the goodness of fit with reaction data.
- As a result, the typical measure of goodness of fit, the correlation coefficient " R ", is not applicable.
- Therefore, the typical measure of goodness of fit for linear regression, the correlation coefficient " R ", is not applicable.
- But each person felt strongly that on balance their marriage had a goodness of fit in needs, wishes and expectations.
- The Pearson chi-squared goodness of fit test provides a method to test if the observed and expected proportions differ significantly.
- Goodness of fit of this model can be tested in a number of ways including using the chi square test.
- A distribution-free multivariate Kolmogorov Smirnov goodness of fit test has been proposed by Justel, Pe�a and Zamar ( 1997 ).
- Linear regression can also be used to numerically assess goodness of fit and estimate the parameters of the Weibull distribution.
- In statistics, the "'Khmaladze transformation "'is a mathematical tool used in constructing convenient goodness of fit tests for hypothetical distribution functions.
- This can provide an assessment of " goodness of fit " that is graphical, rather than reducing to a numerical summary.
- In doing so, it deals with the trade-off between the goodness of fit of the model and the complexity of the model.
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