Practicing R for Statistical Computing / Muhammad Aslam, Muhammad Imdad Ullah

• Autore: Aslam, Muhammad
• Pubblicazione: Singapore, : Springer, 2023
• Descrizione fisica: xvii, 292 p. : ill. ; 24 cm
• Soggetto topico: 05A10 - Factorials, binomial coefficients, combinatorial functions [MSC 2020]; 05C50 - Graphs and linear algebra (matrices, eigenvalues, etc.) [MSC 2020]; 11K45 - Pseudo-random numbers; Monte Carlo methods [MSC 2020]; 60E05 - Probability distributions: general theory [MSC 2020]; 62F03 - Parametric hypothesis testing [MSC 2020]; 62F10 - Point estimation [MSC 2020]; 62G10 - Nonparametric hypothesis testing [MSC 2020]; 62H17 - Contingency tables [MSC 2020]; 62J05 - Linear regression; mixed models [MSC 2020]; 62J15 - Paired and multiple comparisons; multiple testing [MSC 2020]; 62K10 - Statistical block designs [MSC 2020]; 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020]; 65C10 - Random number generation in numerical analysis [MSC 2020]; 65F15 - Numerical computation of eigenvalues and eigenvectors of matrices [MSC 2020]; 68N15 - Theory of programming languages [MSC 2020]; 97P40 - Programming languages (educational aspects) [MSC 2020]; 97P50 - Programming techniques (educational aspects) [MSC 2020]
• Soggetto non controllato: Computing Statistics using R; Data analysis using R language; Data handling in R; Learning statistics using R; R for statistical simulation; R language
• Altri autori: Ullah, Muhammad Imdad
• Titolo autorizzato: Practicing R for Statistical Computing
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN00279268
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: https://doi.org/10.1007/978-981-99-2886-6