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 autocorrelation.
發表於2024-12-03
Understanding Regression Assumptions 2024 pdf epub mobi 電子書 下載
圖書標籤: 數據科學 statistics MachineLearning
Understanding Regression Assumptions 2024 pdf epub mobi 電子書 下載