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Applied Regression Analysis And Generalized Linear Models

Applied Regression Analysis And Generalized Linear Models

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  • ISBN:9780761930426
  • Editorial: Sage Publications
  • Fecha de la edición:
  • Número de la edición: 2
  • Encuadernación:
  • Dimensiones: 0 cm x 0 cm
  • Nº Pág.:665
  • Idiomas:Inglés,Ingles

Materias:

The new Second Edition will extend coverage to regression models such as: generalized linear models; limited-dependent-variable-models; mixed models and Cox regression among other methods.

1 Statistical Models and Social Science 1
Pt. I Data Craft 11
2 What Is Regression Analysis? 13
3 Examining Data 26
4 Transforming Data 50
Pt. II Linear Models and Least Squares 75
5 Linear Least-Squares Regression 77
6 Statistical Inference for Regression 100
7 Dummy-Variable Regression 120
8 Analysis of Variance 143
9 Statistical Theory for Linear Models 187
10 The Vector Geometry of Linear Models 220
Pt. III Linear-Model Diagnostics 239
11 Unusual and Influential Data 241
12 Diagnosing Non-Normality, Nonconstant Error Variance, and Nonlinearity 267
13 Collinearity and Its Purported Remedies 307
Pt. IV Generalized Linear Models 333
14 Logit and Probit Models for Categorical Response Variables 335
15 Generalized Linear Models 279
Pt. V Extending Linear and Generalized Linear Models 425
16 Time-Series Regression and Generalized Least Squares 427
17 Nonlinear Regression 451
18 Nonparametric Regression 476
19 Robust Regression 530
20 Missing Data in Regression Models 548
21 Bootstrapping Regression Models 587

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