goodness of fit test

good·ness of fit test

a statistical test of the hypothesis that data have been randomly sampled or generated from a population that follows a particular theoretical distribution.
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In both the chi-squared and the H-L goodness of fit test, if the test statistic is not significant then the model represents an adequate fit, implying that the model predictions are not significantly different from observed values.
The primary purpose of this book is to provide a detailed exploration of the theory, methods, and applications of the chi-squared goodness of fit test first advanced by Karl Pearson over 100 years ago.
439792 Table A3 Goodness of Fit Test Results for Tail Index Estimation Method Value Probability Cramer-von Mises (W2) 0.
A one sample chi-square goodness of fit test was utilized to test the null hypothesis that the population frequencies of each question set within section four mentioned above happen by chance and in no preferred or specified order.
Goodness of fit test for Transformed Accident Reduction Factor
In order to compare men's and women's screening behaviours, we collapsed the responses to these two questions and conducted a chi-square goodness of fit test.
They then turn to the positively skewed exponential, gamma, Weibull, and extreme value distributions, discussing, for each: general properties, distribution characterization, estimation of parameters and related interferences, and goodness of fit test.
001 (a) The p-values reported are from a Chi-square goodness of fit test.
Abundance data was used to compare the frequency ratio of consumers (carnivores to herbivores) in the observed population versus that occurring in the expected population frequency through the G-test, goodness of fit test.
2] goodness of fit test to the data in these columns.