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- `wilcox.test()` -- Wilcoxon signed rank test, Wilcoxon rank sum test
- `shapiro.test()` -- Test normality assumptions
- `ks.test()` -- Kolmogorov-Smirnov test
- `var.test()`-- Fisher’s F-Test
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Just a quick suggestion for future enhancement. I know that statistical distributions are not the focus of `mpmath` (and it does make sense they are not). The solo exception, due to its relevance, is …
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- [ ] To add Chi-Square feaeture selection
fs = SelectKBest(score_func=chi2, k='all')
fs.fit(X_train, y_train)
X_train_fs = fs.transform(X_train)
X_test_fs = fs.transform(X_test)
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beta beta beta
https://en.wikipedia.org/wiki/Beta_distribution
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I am creating an assignment on chi-square using the multinomial test in JASP. In the first of my examples, the expected values are random (equal) and in the second example, the expected values are fro…
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In the previous exercise, we calculated a contingency table of expected frequencies if there were no association between the leader and influence questions. We then compared this to the observed conti…
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Results may differ as there is an `NCLASS` or `INTERVALS` option. These should be passed on to `ddf.gof`.
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I calculate chi square but I got a different result from orang3 program and python, is there reason?
import pandas as pd
import scipy.stats as stats
import matplotlib.pyplot as plt
import seabor…
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The naming convention should change: in the code the raytracing provides a goodness of fit parameter that is called chi-squared. This is inaccurate as it is actually a r-squared value.
The naming con…
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Hello, would you be interested in a PR for a new version of the chi-square periodogram?
https://doi.org/10.1101/2020.08.14.251512