Regression with graphics / Lawrence C. Hamilton (1992)

Public ISBD Titre : Regression with graphics : a second course in applied statistics Type de document : texte imprimé Auteurs : Lawrence C. Hamilton, Auteur Editeur : Belmont : Duxbury press Année de publication : 1992 Importance : VII-XV-363 p. Présentation : ill. Format : 26 cm ISBN/ISSN/EAN : 978-0-534-15900-9 Note générale : Bibliogr. pp. 357-359.-Index. pp.361-363 Langues : Français (fre) Mots-clés : Statistisk analyse Grafisk afbildning Regressionsanalyse Index. décimale : 519.233.5 Analyse de la corrélation. Analyse de régression Résumé : This text demonstrates how computing power has expanded the role of graphics in analyzing, exploring, and experimenting with raw data. It is primarily intended for students whose research requires more than an introductory statistics course, but who may not have an extensive background in rigorous mathematics. It's also suitable for courses with students of varying mathematical abilities. Hamilton provides students with a practical, realistic, and graphical approach to regression analysis so that they are better prepared to solve real, sometimes messy problems. For students and professors who prefer a heavier mathematical emphasis, the author has included optional sections throughout the text where the formal, mathematical development of the material is explained in greater detail. REGRESSION WITH GRAPHICS is appropriate for use with any (or no) statistical computer package. However, Hamilton used STAT A in the development of the text due to its ease of application and sophisticated graphics capabilities. (STATA is available in a student package from Duxbury including a tutorial by the same author: Note de contenu : Sommaire: 1- Variable distributions 2- Bivariate regresion analysis 3- Basics of multiple regression 4- Regression criticism 5- Fitting curves 6- Robust regression 7- Logit regression 8- Principal components and factor analysis Regression with graphics : a second course in applied statistics [texte imprimé] / Lawrence C. Hamilton, Auteur . - Belmont : Duxbury press, 1992 . - VII-XV-363 p. : ill. ; 26 cm. ISBN : 978-0-534-15900-9 Bibliogr. pp. 357-359.-Index. pp.361-363 Langues : Français (fre) Mots-clés : Statistisk analyse Grafisk afbildning Regressionsanalyse Index. décimale : 519.233.5 Analyse de la corrélation. Analyse de régression Résumé : This text demonstrates how computing power has expanded the role of graphics in analyzing, exploring, and experimenting with raw data. It is primarily intended for students whose research requires more than an introductory statistics course, but who may not have an extensive background in rigorous mathematics. It's also suitable for courses with students of varying mathematical abilities. Hamilton provides students with a practical, realistic, and graphical approach to regression analysis so that they are better prepared to solve real, sometimes messy problems. For students and professors who prefer a heavier mathematical emphasis, the author has included optional sections throughout the text where the formal, mathematical development of the material is explained in greater detail. REGRESSION WITH GRAPHICS is appropriate for use with any (or no) statistical computer package. However, Hamilton used STAT A in the development of the text due to its ease of application and sophisticated graphics capabilities. (STATA is available in a student package from Duxbury including a tutorial by the same author: Note de contenu : Sommaire: 1- Variable distributions 2- Bivariate regresion analysis 3- Basics of multiple regression 4- Regression criticism 5- Fitting curves 6- Robust regression 7- Logit regression 8- Principal components and factor analysis

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Code-barres	Cote	Support	Localisation	Section	Disponibilité	Etat_Exemplaire
044677	519.233.5 HAM	Papier	Bibliothèque Centrale	Mathématiques	Disponible