Understanding Regression Assumptions
Berry W.D.
Through the use of careful explanation and examples, Berry demonstrates how to consider whether the assumptions of multiple regression are actually satisfied in a particular research project. Beginning with a brief review of the regression assumptions as they are typically presented in text books, he moves on to explore in detail the substantive meaning of each assumption; for example, lack of measurement error, absence of specification error, linearity, homoscedasticity, and lack of auto-correlation.
Catégories:
Année:
1993
Editeur::
Sage
Langue:
english
ISBN 10:
080394263X
ISBN 13:
9780803942639
Collection:
Quantitative Applications in the Social Sciences
Fichier:
CHM, 408 KB
IPFS:
,
english, 1993