CHF 310.00

Linear Regression Models
Applications in R

Inglese · Copertina rigida

Spedizione di solito entro 1 a 3 settimane

Descrizione

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This book includes chapters on specifying the correct linear regression model, adjusting for measurement error, understanding the effects of influential observations, and using multilevel data.


Info autore

John P. Hoffmann is a professor of sociology at Brigham Young University. He holds a PhD in Criminology from the State University of New York at Albany and a Masters of Public Health (MPH) from Emory University. He has worked at the U.S. Centers for Disease Control and Prevention (CDC) and the National Opinion Research Center (NORC) of the University of Chicago; and taught at Hokkaido University and the University of South Carolina. Hoffmann is the author of more than 100 journal articles and book chapters and 10 books on applied statistics, criminology, and the sociology of religion.

Riassunto

This book includes chapters on specifying the correct linear regression model, adjusting for measurement error, understanding the effects of influential observations, and using multilevel data.

Dettagli sul prodotto

Autori John P. Hoffman, John P. Hoffmann
Editore Taylor & Francis Ltd.
 
Contenuto Libro
Forma del prodotto Copertina rigida
Data pubblicazione 30.09.2021
Categoria Scienze umane, arte, musica > Psicologia > Fondamenti
Saggistica > Psicologia, esoterismo, spiritualità, antroposofia > Psicologia: tematiche generali, opere di consultaz
Scienze sociali, diritto, economia > Economia > Tematiche generali, enciclopedie
Scienze naturali, medicina, informatica, tecnica > Matematica > Teoria delle probabilità, stocastica, statistica m
 
EAN 9780367753689
ISBN 978-0-367-75368-9
Numero di pagine 420
 
Serie Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
Categorie BUSINESS & ECONOMICS / Statistics, MATHEMATICS / Probability & Statistics / General, MATHEMATICS / Probability & Statistics / Regression Analysis, Economic statistics, Psychological methodology, Probability & statistics, Probability and statistics, Econometrics and economic statistics, regression model, Social Science Statistics, Scatter Plot, Residual Standard Error, Occupational prestige, behavioral data analysis, Explanatory Variables, graduate level statistics, advanced regression techniques in R, Gee Model, ANOVA Table, interaction effects modeling, multicollinearity detection, missing data treatment, College GPA, Partial Residual Plot, Median Household Income, Opioid Deaths, Heteroscedastic Errors, Influential Observations, Nonlinear Associations, Average Life Satisfaction, Instrumental Variables Regression Models, Relative Importance Measures, Simple LRMs, Kernel Density Plot, LRM Result, Huber White Sandwich Estimator, Linear Fit Line, Partial Slope Coefficient, Glejser’s Test
 

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