Catalogue de la bibliothèque de SNV
Nouveauté
| Titre : | Foundational and applied statistics for biologists using R |
| Auteurs : | Ken A. Aho, Auteur |
| Type de document : | texte imprimé |
| Editeur : | London : CRC press, 2023 |
| ISBN/ISSN/EAN : | 978-1-03-247741-1 |
| Format : | 1 vol. (xxi, 596 pages) / illustrations / 26 cm |
| Langues: | Anglais |
| Index. décimale : | 570.1 (Philosophie et théorie de la biologie et des sciences de la vie) |
| Catégories : |
Biologie ( B-Cellulaire - B-Animale - B-Végétale - B-moléculaire - Cytologie ) |
| Mots-clés: | Statistiques fondamentales ; biologistes |
| Résumé : |
Full Of biological applications, exercises, and interactive graphical examples, Foundational and Applied Statistics for Biologists Using R presents comprehensive coverage of both modern analytical methods and statistical foundations. The author harnesses the inherent properties of the R environment to enable students to examine the code of complicated procedures step by step and thus better understand the process of obtaining analysis results. The graphical capabilities of R are used to provide interactive demonstrations of simple to complex statistical concepts. |
| Note de contenu : |
Sommaire: -1- Philosophical and Historical Foundations -2- Introduction to Probability. -3- Probability Density Functions. -4- Parameters and Statistics. -5- Interval Estimation: Sampling Distributions, Resampling Distributions, and Simulation Distributions. -6- Hypothesis Testing. -7- Sampling Design and Experimental Design. |
Exemplaires
| Code-barres | Cote | Support | Localisation | Section | Disponibilité |
|---|---|---|---|---|---|
| FB/15816 | SNV8/1844 | Livre | Bibliothèque SNV | Englais | Disponible |
| FB/15817 | SNV8/1844 | Livre | Bibliothèque SNV | Englais | Disponible |
Documents numériques
 https://www.amazon.fr/Foundational-Applied-Statistics-Biologists-English-ebook/dp/B00OD4EQK4/ref=sr_1_1?__mk_fr_FR=%C3%85M%C3%85%C5%BD%C3%95%C3%91&crid=32OHNT20JXUQ2&dib=eyJ2IjoiMSJ9.7RWrHCog-Z2DF1rz7jiyJFv4Z5PrV_8RxHgu6ktFYUuQAVr8aCUZhWA0vrwdWuU6.e1BwdbD URL |
