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.
კატეგორია:
ტომი:
92
წელი:
1993
გამომცემლობა:
SAGE Publications
ენა:
english
გვერდები:
102
ISBN 10:
080394263X
სერია:
Quantitative Applications in the Social Sciences
ფაილი:
PDF, 5.02 MB
IPFS:
,
english, 1993