Step-by-Step Derivation and Simulation Verification in Mathematical Statistics

Provides step-by-step derivations of key results in mathematical statistics, including transformations of random variables, order statistics, and sampling distributions. The package combines analytical derivation with Monte Carlo simulation to compare theoretical and empirical results, facilitating deeper understanding of statistical theory and its computational implementation. The methods are motivated by standard treatments in mathematical statistics (Hogg, McKean, and Craig, 2019, ISBN: 9780134686991).


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("StatDeriveR")

0.1.0 by Jokhrof Ahmed Doha, 6 months ago


https://github.com/Jokhrof042/StatDeriveR


Report a bug at https://github.com/Jokhrof042/StatDeriveR/issues


Browse source code at https://github.com/cran/StatDeriveR


Authors: Jokhrof Ahmed Doha [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports grDevices, graphics, stats

Suggests knitr, rmarkdown, testthat


See at CRAN