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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.
Hosmer–Lemeshow test; Hotelling's T-squared distribution; How to Lie with Statistics (book) ... Sargan test; SAS (software) SAS language; SAS System – see SAS ...
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]
Hypothesis tests with the general linear model can be made in two ways: multivariate or as several independent univariate tests. In multivariate tests the columns of Y are tested together, whereas in univariate tests the columns of Y are tested independently, i.e., as multiple univariate tests with the same design matrix.
DAP – free replacement for SAS; Environment for DeveLoping KDD-Applications Supported by Index-Structures (ELKI) a software framework for developing data mining algorithms in Java; Epi Info – statistical software for epidemiology developed by Centers for Disease Control and Prevention (CDC). Apache 2 licensed [1]
Unit root test Cointegration test VAR Multivariate GARCH; Alteryx: Yes No Analyse-it: EViews: Yes Yes Yes Yes Yes Yes GAUSS: Yes Yes Yes Yes Yes Yes GraphPad Prism: No No No No No gretl: Yes Yes Yes Yes Yes Yes [26] JMP: Yes LIMDEP: Yes Yes Yes Yes Yes No Mathematica: Yes [27] Yes Yes [28] Yes Yes [29] Yes [30] MATLAB+Econometrics Toolbox : Yes ...
The power of this test is similar to that of Boschloo's test in most scenarios. In some cases, the -Pooled test has greater power, with differences mostly ranging from 1 to 5 percentage points. In very few cases, the difference goes up to 9 percentage points. This test can also be modified by the Berger & Boos procedure.