Building Statistical Models in Python: Develop useful models for regression, classification, time series, and survival analysis

Regression Models for Time Series Analysis (Wiley Series in Probability and Statistics)

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Regression Models for Time Series Analysis (Wiley Series in Probability and Statistics)

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Regression Models for Time Series Analysis (Wiley Series in Probability and Statistics)

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Regression Models for Time Series Analysis (Wiley Series in Probability and Statistics)

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Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis (Springer Series in Statistics)

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Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis (Springer Series in Statistics)

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Applied Survival Analysis: Regression Modeling of Time to Event Data (Wiley Series in Probability and Statistics)

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Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis (Springer Series in Statistics)

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Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis (Springer Series in Statistics)

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Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis (Springer Series in Statistics)

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Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis (Springer Series in Statistics)

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Predictions in Time Series Using Regression Models

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