PHP implementation of statistical probability distributions: normal distribution, beta distribution, gamma distribution and more.
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Updated
Sep 8, 2021 - PHP
PHP implementation of statistical probability distributions: normal distribution, beta distribution, gamma distribution and more.
Replication code for simulating and estimation by GMM of DSGE models with higher-order statistics
Package provides the javascript implementation of various statistics and distribution
My Python learning experience 📚🖥📳📴💻🖱✏
Replication code for checking identification in nonlinear pruned DSGE models with Gaussian or Student's t distributed errors
Examples of using the test statistics to test hypotheses
Mixtures-of-ExperTs modEling for cOmplex and non-noRmal dIsTributionS
Examples of generating random variables from the basic probability distributions
Reproducible code for the paper “A t-distribution based operator for enhancing out of distribution robustness of neural network classifiers"
A comparative study between 5 different binary classification techniques.
Reverse lookup for z test
Background for Hypothesis testing / Bayesian Inference with code examples
My notes on statistics
Aplikasi Shiny untuk membandingkan ketegaran dan kuasa uji t (klasik) dan uji Welch terhadap dua sampel.
Aplikasi Shiny untuk mendemonstrasikan kebutuhan akan distribusi t
Continuation to Data Analysis using more mathematical approach.
Topics covered in Probability distribution with python codes
multivariate_student_t_distribution_table_generator
Analysis of historical data on childbed fever to investigate the impact of handwashing on reducing death rates. Includes data visualization, statistical testing, and time series analysis to validate Dr. Ignaz Semmelweis's hypothesis.
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