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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.
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 ...
Kolmogorov–Smirnov test; Cramér–von Mises criterion; Anderson–Darling test; Berk-Jones tests [1] [2] Shapiro–Wilk test; Chi-squared test; Akaike information criterion; Hosmer–Lemeshow test; Kuiper's test; Kernelized Stein discrepancy [3] [4] Zhang's Z K, Z C and Z A tests [5] Moran test; Density Based Empirical Likelihood Ratio tests [6]
Hosmer–Lemeshow test; ... R programming language – see R ... Student's t-test for Gaussian scale mixture distributions ...
Hosmer–Lemeshow test, a quality of fit statistic that can be used for binary data; Pearson's chi-squared test, an alternative quality of fit statistic for generalized linear models for count data; Peirce's criterion, a rule for eliminating outliers from data sets
Hosmer, who retires with a .276/.335/.427 career average, was drafted third overall in 2008 by the Kansas City Royals. He made his debut in 2011 and smashed 19 home runs over 128 games while ...
Hosmer DW, Lemeshow S. Goodness of fit tests for the multiple logistic regression model, 1980, 401 cites. Iman RL, Conover WJ. Small sample sensitivity analysis techniques for computer models. with an application to risk assessment, 1980, 312 cites.
William John Youden (April 12, 1900 – March 31, 1971) was an Australian-born American statistician who formulated new statistical techniques in statistical analysis and in design of experiments.