Understanding Regression Assumptions

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Understanding Regression Assumptions

Understanding Regression Assumptions

William D. Berry

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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.

Kategori:

Mathematics

Jilid:

Tahun:

1993

Penerbit:

SAGE Publications

Bahasa:

english

Halaman:

102

ISBN 10: