Prêtable
| Titre : | Statistics : Concepts and applications |
| Titre original: | Statistiques : Concepts et applications |
| Auteurs : | Harry Frank ; Steven Althoen |
| Type de document : | texte imprimé |
| Editeur : | London [U.K] : Cambridge University Press, 1994 |
| ISBN/ISSN/EAN : | 978-0-521-49852-4 |
| Format : | XIV-853 p. / ill.; couv. en coul. / 24 cm. |
| Langues: | Anglais |
| Langues originales: | Anglais |
| Index. décimale : | 519.5 (Statistique mathématique (analyse statistique, probabilités, statistique mathématique numérique)) |
| Catégories : | |
| Mots-clés: | Analyse ; Probability ; Algebra |
| Résumé : |
Statistics: Concepts and Applications is a ‘classical’ general statistics text written in modern voice. The authors bring mathematical, theoretical and conceptual integrity to a body of topics and techniques that is appropriate to a first course in statistics and do so in a way that is accessible to students whose mathematical preparation does not go beyond the standard curriculum for college algebra. The informal, conversational prose delivers conceptual richness and advances a quiet subtext of mathematics instruction that achieves a high level of mathematical rigour. The text presents a thorough, step-by-step development of fundamental principles
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| Note de contenu : |
Sommaire :
Partie 1: Organization and description of data Chapitre 1: The organization of data Chapitre 2: Describing distributions Chapitre 3: Describing individuals in distributions Chapitre 4: Describing joint distributions of data Partie 2: Describing distributions Chapitre 1: Introduction to probability Chapitre 2: Discrete probability distributions Chapitre 3: Continuous probability distributions Partie 3 : Probability Chapitre 1: Sampling distributions and estimation Chapitre 2: Hypothesis testing Chapitre 3: Testing hypotheses about population means Partie 4: Introduction to statistical inference Chapitre 1: Testing hypotheses about population variances Chapitre 2: Testing hypotheses about several population means μ1, μ2,..., μj: analysis of variance Chapitre 3: More complex analysis of variance Chapitre 4: Testing hypotheses about correlation and regression Chapitre 5: Testing hypotheses about entire distributions: Pearson's chi-square |
Exemplaires (1)
| Cote | Support | Localisation | Section | Disponibilité |
|---|---|---|---|---|
| F8/332 | Livre | Bibliothèque de la Faculté de Technologie | Section documentaire | Disponible |
