Regression Models for Time Series Analysis
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Regression Models for Time Series Analysis
Kedem, Benjamin; Fokianos, Konstantinos
John Wiley & Sons Inc
09/2002
360
Dura
Inglês
9780471363552
15 a 20 dias
706
Descrição não disponível.
Dedication.
Preface.
Times Series Following Generalized Linear Models.
Regression Models for Binary Time Series.
Regression Models for Categorical Time Series.
Regression Models for Count Time Series.
Other Models and Alternative Approaches.
State Space Models.
Prediction and Interpolation.
Appendix: Elements of Stationary Processes.
References.
Index.
Preface.
Times Series Following Generalized Linear Models.
Regression Models for Binary Time Series.
Regression Models for Categorical Time Series.
Regression Models for Count Time Series.
Other Models and Alternative Approaches.
State Space Models.
Prediction and Interpolation.
Appendix: Elements of Stationary Processes.
References.
Index.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
analysis; integral; time; methods; series; review; thorough; part; current regression; developments; major; areas; noncontinuous; linear; appropriate; new; strides; data; model; models; reader; book; regression; statistical inference
Dedication.
Preface.
Times Series Following Generalized Linear Models.
Regression Models for Binary Time Series.
Regression Models for Categorical Time Series.
Regression Models for Count Time Series.
Other Models and Alternative Approaches.
State Space Models.
Prediction and Interpolation.
Appendix: Elements of Stationary Processes.
References.
Index.
Preface.
Times Series Following Generalized Linear Models.
Regression Models for Binary Time Series.
Regression Models for Categorical Time Series.
Regression Models for Count Time Series.
Other Models and Alternative Approaches.
State Space Models.
Prediction and Interpolation.
Appendix: Elements of Stationary Processes.
References.
Index.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
