Livrare gratuită pentru comenzile peste 349,00 lei.

Verifică starea comenzii

Faceți parte dintr-o comunitate de iubitori de cărți din întreaga lume și beneficiați de o mulțime de avantaje Creați-vă un cont gratuit

Transport gratuit la punctele de livrare Pick Up peste 349.00 lei

Packeta 15.00 lei Cargus 28.00 lei Easybox 20.00 lei FAN 20.00 lei Punct FAN 16.00 lei Punct DPD 17.00 lei Curier Sameday 24.00 lei Curier DPD 25.00 lei

Contact

Cum să cumpăr

Ajutor

Contul meu

▸ Gol :-(

Livrare gratuită pentru comenzile peste 349,00 lei.

Regression with Linear Predictors

Name: Regression with Linear Predictors
Brand: Springer, Berlin
SKU: 02106804
Price: 307.23 RON
Availability: InStock
Author: Per Kr. Andersen
ISBN: 9781441971692

Per Kr. Andersen

Lene Th. Skovgaard

Limba

engleză

Carte Copertă tare

Codul Libristo: 02106804

Editura Springer, Berlin, noiembrie 2009

This text provides, in a non-technical language, a unified treatment of regression models for differ... Descrierea completă

Codul Libristo: 02106804

142 b

307.23 lei

În depozitul extern în cantități mici Expediem în 13-18 zile

30 de zile pentru retur bunuri

Clienții au cumpărat de asemenea

Recettes Et Connaissances Utiles Pour La Sante Mises En Vente BRUNET-L

Carte broșată

70.15 lei

Die Zulaessigkeit medizinischer Forschung mit einwilligungsunfaehigen Personen und ihre verfassungsrechtlichen Grenzen Barbara Eck

Carte broșată

572.77 lei

Pluspunkt Deutsch - Leben in Deutschland - Allgemeine Ausgabe - A2: Gesamtband Friederike Jin

Carte broșată

125.10 lei

Sony A7 III Kyra Sänger

Copertă tare

173.68 lei

Representation Et Identification Des Hypersurfaces Choueib-H

Carte broșată

237.69 lei

Essais... Daniel M. Nager

Carte broșată

189.94 lei

Sarbanes-Oxley Act - Konsequenzen fur das dualistische System von Aufsichtsrat und Vorstand deutscher Unternehmen Lars Roland Gzuk

Carte broșată

731.65 lei

Atlas eines ängstlichen Mannes Christoph Ransmayr

Carte broșată

80.37 lei

This text provides, in a non-technical language, a unified treatment of regression models for different outcome types, such as linear regression, logistic regression, and Cox regression. This is done by focusing on the many common aspects of these models, in particular the linear predictor, which combines the effects of all explanatory variables into a function which is linear in the unknown parameters. Specification and interpretation of various choices of parametrization of the effects of the covariates (categorical as well as quantitative) and interaction among these are elaborated upon. The merits and drawbacks of different link functions relating the linear predictor to the outcome are discussed with an emphasis on interpretational issues, and the fact that different research questions arise from adding or deleting covariates from the model is emphasized in both theory and practice.§Regression models with a linear predictor are commonly used in fields such as clinical medicine, epidemiology, and public health, and the book, including its many worked examples, builds on the authors' more than thirty years of experience as teachers, researchers and consultants at a biostatistical department. The book is well-suited for readers without a solid mathematical background and is accompanied by Web pages documenting in R, SAS, and STATA, the analyses presented throughout the text.