Determining Histogram Bin Width using the Freedman-Diaconis Rule
Using the Freedman-Diaconis Rule to determine optimal histogram bin width
more ...Using the Freedman-Diaconis Rule to determine optimal histogram bin width
more ...Assessing goodness of fit using scipy and matplotlib
more ...Updating sample mean and variance to account for new observations without full recalculation
more ...An Investigation of the Complete and Incomplete Beta Functions with use cases in Statistical Modeling
more ...Examination of the LOESS method with implementation in Python
more ...Computing non-parametric bootstrap confidence intervals with Python
more ...A method for obtaining mixed exponential distirbution quantiles for statistical analysis
more ...Derivation of the Poisson as a limiting case of the Binomial PDF
more ...Exploring denisty estimation with various kernels in Python
more ...Python implementation of Newton’s method of polynomial interpolation
more ...A smoothed empirical percentile implementation in Python
more ...Correcting the bias in estimators for the population variance.
more ...A walk-thru and demonstration of the batch gradient descent algorithm in Python
more ...Assessing the quality of fit of a Logistic Regression model
more ...Estimating Logistic Regression coefficents in Python
more ...Manual estimation of logistic regression coefficents in R
more ...Derivation of the Normal Equations via Least Squares and Maximum Likelihood
more ...