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  2. Forskning og information: generelt
  3. Forskningsmetoder

Regression and Other Stories

Af: Jennifer Hill, Aki Vehtari, Andrew Gelman Engelsk Paperback

Regression and Other Stories

Af: Jennifer Hill, Aki Vehtari, Andrew Gelman Engelsk Paperback
Tjek vores konkurrenters priser
Most textbooks on regression focus on theory and the simplest of examples. Real statistical problems, however, are complex and subtle. This is not a book about the theory of regression. It is about using regression to solve real problems of comparison, estimation, prediction, and causal inference. Unlike other books, it focuses on practical issues such as sample size and missing data and a wide range of goals and techniques. It jumps right in to methods and computer code you can use immediately. Real examples, real stories from the authors'' experience demonstrate what regression can do and its limitations, with practical advice for understanding assumptions and implementing methods for experiments and observational studies. They make a smooth transition to logistic regression and GLM. The emphasis is on computation in R and Stan rather than derivations, with code available online. Graphics and presentation aid understanding of the models and model fitting.
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Most textbooks on regression focus on theory and the simplest of examples. Real statistical problems, however, are complex and subtle. This is not a book about the theory of regression. It is about using regression to solve real problems of comparison, estimation, prediction, and causal inference. Unlike other books, it focuses on practical issues such as sample size and missing data and a wide range of goals and techniques. It jumps right in to methods and computer code you can use immediately. Real examples, real stories from the authors'' experience demonstrate what regression can do and its limitations, with practical advice for understanding assumptions and implementing methods for experiments and observational studies. They make a smooth transition to logistic regression and GLM. The emphasis is on computation in R and Stan rather than derivations, with code available online. Graphics and presentation aid understanding of the models and model fitting.
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Produktdetaljer
Sprog: Engelsk
Sider: 548
ISBN-13: 9781107676510
Indbinding: Paperback
Udgave:
ISBN-10: 1107676517
Kategori: Forskningsmetoder
Udg. Dato: 23 jul 2020
Længde: 32mm
Bredde: 246mm
Højde: 191mm
Forlag: Cambridge University Press
Oplagsdato: 23 jul 2020
Forfatter(e): Jennifer Hill, Aki Vehtari, Andrew Gelman
Forfatter(e) Jennifer Hill, Aki Vehtari, Andrew Gelman

Kategori Forskningsmetoder

ISBN-13 9781107676510

Sprog Engelsk

Indbinding Paperback

Sider 548

Udgave

Længde 32mm

Bredde 246mm

Højde 191mm

Udg. Dato 23 jul 2020

Oplagsdato 23 jul 2020

Forlag Cambridge University Press

Kategori sammenhænge