<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Step-by-Step Derivation and Simulation Verification in
Mathematical Statistics</dc:title>
  <dc:title>R package StatDeriveR version 0.1.0</dc:title>
  <dc:description>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).</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.0.0)</dc:relation>
  <dc:relation>Imports: grDevices, graphics, stats</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Jokhrof Ahmed Doha &lt;s-2021711817@isrt.du.ac.bd&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Jokhrof Ahmed Doha [aut, cre]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=StatDeriveR/LICENSE)</dc:rights>
  <dc:date>2026-04-10</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=StatDeriveR</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.StatDeriveR</dc:identifier>
  <dc:language>en-US</dc:language>
</oai_dc:dc>
