Rechercher

Accueil
Accueil
Musique
Cinéma
Savoirs
- Actualités
- Catalogue
- Assimil
- digiSchool
- Canal U
- Lumni
- MyCOW
- Editeurs
Livres
Presse
Jeux

Enfant
Connexion
Bienvenue

Connexion

Besoin d'aide ?

Médiathèque départementale de l'Allier

Médiathèque digitale

Accueil

Musique

Webradios

Actualités

Youscribe Partitions

Distributeurs

Cinéma

Actualités

Catalogue

Chacun son court

Cin'Éthique

Le saviez-vous ?

Quiz

Séance de minuit

Collections

Savoirs

Actualités

Catalogue

Assimil

digiSchool

Canal U

Lumni

MyCOW

Editeurs

Livres

Actualités

Catalogue

Bibliodyssée

Izneo

Prêt numérique en bibliothèque (PNB)

YouScribe

Editeurs

Presse

Actualités

PressEnBib

Presse magazine

Presse quotidienne

Presse régionale

Editeurs

Jeux

Actualité Jeunesse

Catalogue

Enfant

Besoin d'aide ?

Robert N. Rodriguez

Robert N. Rodriguez

Robert N. Rodriguez

A consulter en ligne

Affiche du document Building Regression Models with SAS — Building Regression Models with SAS
Robert N. Rodriguez
5h48min00
Informatique
Youscribe plus

464 pages. Temps de lecture estimé 5h48min.
Advance your skills in building predictive models with SAS! Building Regression Models with SAS: A Guide for Data Scientists teaches data scientists, statisticians, and other analysts who use SAS to train regression models for prediction with large, complex data. Each chapter focuses on a particular model and includes a high-level overview, followed by basic concepts, essential syntax, and examples using new procedures in both SAS/STAT and SAS Viya. By emphasizing introductory examples and interpretation of output, this book provides readers with a clear understanding of how to build the following types of models: general linear models quantile regression models logistic regression models generalized linear models generalized additive models proportional hazards regression models tree models models based on multivariate adaptive regression splines Building Regression Models with SAS is an essential guide to learning about a variety of models that provide interpretability as well as predictive performance.

Building Regression Models with SAS
Robert N. Rodriguez
5h48min00
Informatique
Youscribe plus

464 pages. Temps de lecture estimé 5h48min.
Advance your skills in building predictive models with SAS! Building Regression Models with SAS: A Guide for Data Scientists teaches data scientists, statisticians, and other analysts who use SAS to train regression models for prediction with large, complex data. Each chapter focuses on a particular model and includes a high-level overview, followed by basic concepts, essential syntax, and examples using new procedures in both SAS/STAT and SAS Viya. By emphasizing introductory examples and interpretation of output, this book provides readers with a clear understanding of how to build the following types of models: general linear models quantile regression models logistic regression models generalized linear models generalized additive models proportional hazards regression models tree models models based on multivariate adaptive regression splines Building Regression Models with SAS is an essential guide to learning about a variety of models that provide interpretability as well as predictive performance.

Accès libre

Conditions générales d'utilisationCGU
Politique de confidentialitéRGPD
Accessibilité du siteRGAA
FAQ
Besoin d'aide ?
Mes cookies
Partager

x

...

écoute en cours

x Cacher la playlist

Commandes	>	x

Aucune piste en cours de lecture

--|--

--|--

Activer/Désactiver le son

...

...

Bande-annonce

Accessibilité

Fond d'écran

Taille du texte

Adapter la police de caractères aux personnes dyslexiques