02-02Notes
A working library of the mathematics behind the analysis.
524 notes in 7 areas, from notation to machine learning. Each takes one formula: what it says, a small worked example, and code that runs. Revised in place. Page 17 of 22.
IndexAll notes
02-02-385Population Mean02-02-386Population Variance02-02-387Standard Deviation02-02-388Standardized Score (Z-Score)02-02-389CDF02-02-390Continuous Uniform Distribution02-02-391Expected Value02-02-392Multivariate Gaussian Distribution02-02-393PDF02-02-394Variance02-02-395Bernoulli Distribution (1 trial, binary outcome)02-02-396Binomial Distribution (n trials, k successes)02-02-397Categorical Distribution (1 trial, K outcomes)02-02-398Multinomial Distribution (n trials, K outcomes)02-02-399Negative Binomial Distribution (Trials to n successes)02-02-400Poisson Distribution (counts per interval)02-02-401Cumulative Distribution Function (CDF)02-02-402Expected Value02-02-403Function Expectation02-02-404Interval Probability02-02-405Probability Density Function (PDF) Constraint02-02-406Variance02-02-407Cumulative Distribution Function (CDF)02-02-408Expected Value (Linearity)