Data Analysis Using Regression and Multilevel/Hierarchical Models

Data Analysis Using Regression and Multilevel/Hierarchical Models
Author: Andrew Gelman
Publisher: Cambridge University Press
Total Pages: 654
Release: 2007
Genre: Mathematics
ISBN: 9780521686891


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This book, first published in 2007, is for the applied researcher performing data analysis using linear and nonlinear regression and multilevel models.


Data Analysis Using Regression and Multilevel/Hierarchical Models
Language: en
Pages: 654
Authors: Andrew Gelman
Categories: Mathematics
Type: BOOK - Published: 2007 - Publisher: Cambridge University Press

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This book, first published in 2007, is for the applied researcher performing data analysis using linear and nonlinear regression and multilevel models.
Linear Models for the Prediction of Animal Breeding Values
Language: en
Pages: 343
Authors: R. A. Mrode
Categories: Technology & Engineering
Type: BOOK - Published: 2014 - Publisher: Cab International

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The prediction of producing desirable traits in offspring such as increased growth rate or superior meat, milk and wool production is a vital economic tool to t
Resources in Education
Language: en
Pages: 344
Authors:
Categories: Education
Type: BOOK - Published: 1997 - Publisher:

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Neural Computing for Advanced Applications
Language: en
Pages: 774
Authors: Haijun Zhang
Categories: Computers
Type: BOOK - Published: 2021-08-20 - Publisher: Springer Nature

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This book presents refereed proceedings of the Second International Conference Neural Computing for Advanced Applications, NCAA 2021, held in Guangzhou, China,
Bibliography of Agriculture
Language: en
Pages: 1732
Authors:
Categories: Agriculture
Type: BOOK - Published: 1976 - Publisher:

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