My Python learning experience 📚🖥📳📴💻🖱✏
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Updated
May 19, 2024 - Jupyter Notebook
My Python learning experience 📚🖥📳📴💻🖱✏
Examples of using the test statistics to test hypotheses
Examples of generating random variables from the basic probability distributions
Aplikasi Shiny untuk mendemonstrasikan kebutuhan akan distribusi t
Aplikasi Shiny untuk membandingkan ketegaran dan kuasa uji t (klasik) dan uji Welch terhadap dua sampel.
multivariate_student_t_distribution_table_generator
Package provides the javascript implementation of various statistics and distribution
Replication code for checking identification in nonlinear pruned DSGE models with Gaussian or Student's t distributed errors
Replication code for simulating and estimation by GMM of DSGE models with higher-order statistics
Reverse lookup for z test
PHP implementation of statistical probability distributions: normal distribution, beta distribution, gamma distribution and more.
Continuation to Data Analysis using more mathematical approach.
Reproducible code for the paper “A t-distribution based operator for enhancing out of distribution robustness of neural network classifiers"
Mixtures-of-ExperTs modEling for cOmplex and non-noRmal dIsTributionS
My notes on statistics
Background for Hypothesis testing / Bayesian Inference with code examples
A comparative study between 5 different binary classification techniques.
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