TY  - BOOK
AU  - Osborne, Jason W.
TI  - Regression and Linear Modeling: Best Practices and Modern Methods
SN  - 9781506302768
U1  - 519.536 
PY  - 2017///
CY  - New Delhi
PB  - Sage Publications, Inc.
KW  - Regression Analysis
KW  - Linear Models
N1  - 1: A Nerdly Manifesto
2: Basic Estimation and Assumptions
3: Simple Linear Models With Continuous Dependent Variables: Simple Regression Analyses
4: Simple Linear Models With Continuous Dependent Variables: Simple ANOVA Analyses
5: Simple Linear Models With Categorical Dependent Variables: Binary Logistic Regression
6: Simple Linear Models With Polytomous Categorical Dependent Variables: Multinomial and Ordinal Logistic Regression
7: Simple Curvilinear Models
8: Multiple Independent Variables
9: Interactions Between Independent Variables: Simple moderation
10: Curvilinear Interactions Between Independent Variables
11: Poisson Models: Low-Frequency Count Data as Dependent Variables
12: Log-Linear Models: General Linear Models When All of Your Variables Are Unordered Categorical
13: A Brief Introduction to Hierarchical Linear Modeling
14: Missing Data in Linear Modeling
15: Trustworthy Science: Improving Statistical Reporting
16: Reliable Measurement Matters
17: Prediction in the Generalized Linear Model
18: Modeling in Large, Complex Samples: The Importance of Using Appropriate
ER  -