Anything related to chi-squared probability distribution or chi-squared statistical test (typically of distribution, independence, or goodness of fit).
I have computed a test statistic that is distributed as a chi square with 1 degree of freedom, and want to …
python statistics scipy chi-squaredI'd like to run a chi-squared test in Python. I've created code to do this, but I don't know if …
python numpy scipy chi-squaredI'm new in machine learning. I'm preparing my data for classification using Scikit Learn SVM. In order to select the …
python machine-learning scikit-learn feature-selection chi-squaredinput NN <- c(359,32);JJ <- c(108,13);NNS <- c(103,15);VBN <- c(95,9);RB <- …
r testing statistics chi-squaredI have a vector of observed values and also a vector of values calculated with model: actual <- c(1411,439,214,100,62,38,29,64) …
r statistics chi-squared goodness-of-fitI have two 4*4 matrices in JAVA, where one matrix holds observed counts and the other expected counts. I need an …
java r statistics chi-squaredI have been trying to fit a linear model to a set of stress/strain data by minimizing chi-squared. Unfortunately …
python statistics scipy minimization chi-squaredI have written code in MATLAB for a Chi-Square test. I wish to obtain P-values as 0.897 or 0.287 and so on, …
matlab statistics chi-squared weibull goodness-of-fitI am wondering if there exists in R a package/function to perform the: "Post Hoc Pair-Wise Comparisons for the …
r statistics chi-squared posthocI'm trying to do chi square analysis for all combinations of variables in the data and my code is: Data &…
r chi-squared