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  2. Hosmer–Lemeshow test - Wikipedia

    en.wikipedia.org/wiki/HosmerLemeshow_test

    The Hosmer–Lemeshow test is a statistical test for goodness of fit and calibration for logistic regression models. It is used frequently in risk prediction models. The test assesses whether or not the observed event rates match expected event rates in subgroups of the model population.

  3. Goodness of fit - Wikipedia

    en.wikipedia.org/wiki/Goodness_of_fit

    where and are the same as for the chi-square test, denotes the natural logarithm, and the sum is taken over all non-empty bins. Furthermore, the total observed count should be equal to the total expected count: ∑ i O i = ∑ i E i = N {\displaystyle \sum _{i}O_{i}=\sum _{i}E_{i}=N} where N {\textstyle N} is the total number of observations.

  4. Logistic regression - Wikipedia

    en.wikipedia.org/wiki/Logistic_regression

    Logistic regression is a supervised machine learning algorithm widely used for binary classification tasks, such as identifying whether an email is spam or not and diagnosing diseases by assessing the presence or absence of specific conditions based on patient test results. This approach utilizes the logistic (or sigmoid) function to transform ...

  5. General linear model - Wikipedia

    en.wikipedia.org/wiki/General_linear_model

    The general linear model incorporates a number of different statistical models: ANOVA, ANCOVA, MANOVA, MANCOVA, ordinary linear regression, t-test and F-test. The general linear model is a generalization of multiple linear regression to the case of more than one dependent variable.

  6. Diehard tests - Wikipedia

    en.wikipedia.org/wiki/Diehard_tests

    This test uses n = 2 24 and m = 2 9, so that the underlying distribution for j is taken to be Poisson with λ = 2 27 / 2 26 = 2. A sample of 500 j s is taken, and a chi-square goodness of fit test provides a p value. The first test uses bits 1–24 (counting from the left) from integers in the specified file. Then the file is closed and reopened.

  7. Logit-normal distribution - Wikipedia

    en.wikipedia.org/wiki/Logit-normal_distribution

    In probability theory, a logit-normal distribution is a probability distribution of a random variable whose logit has a normal distribution.If Y is a random variable with a normal distribution, and t is the standard logistic function, then X = t(Y) has a logit-normal distribution; likewise, if X is logit-normally distributed, then Y = logit(X)= log (X/(1-X)) is normally distributed.

  8. Talk:Hosmer–Lemeshow test - Wikipedia

    en.wikipedia.org/wiki/Talk:HosmerLemeshow_test

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  9. Hosmer Allen Johnson - Wikipedia

    en.wikipedia.org/wiki/Hosmer_Allen_Johnson

    Hosmer Allen Johnson was born in Wales, New York, on October 6, 1822. While still and infant, the family moved to Boston, New York. There, Johnson attended public schools. When he was twelve, the family moved to Almont, Michigan; helping with the family farm there, Johnson was unable to attend school. When he was sixteen, Johnson sustained a ...