Understanding Regression Assumptions
William D. Berry
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.
Kategorien:
Band:
92
Jahr:
1993
Verlag:
SAGE Publications
Sprache:
english
Seiten:
102
ISBN 10:
080394263X
Serien:
Quantitative Applications in the Social Sciences
Datei:
PDF, 5.02 MB
IPFS:
,
english, 1993