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Chapter 9 - Complex Data: More Advanced Models
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Chapter 6 - Poisson Inverse Gaussian Regression
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Chapter 4 - Assessment of Fit
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Index
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Chapter 5 - Negative Binomial Regression
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Preface
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Chapter 7 - Problems with Zeros
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Chapter 3 - Testing Overdispersion
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Chapter 1 - Varieties of Count Data
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6 - Univariate time series modelling and forecasting
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2 - Mathematical and statistical foundations
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7 - Multivariate models
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List of tables
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13 - Simulation methods
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Appendix 2 - Tables of statistical distributions
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5 - Classical linear regression model assumptions and diagnostic tests
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List of boxes
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4 - Further development and analysis of the classical linear regression model
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Acknowledgements
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Appendix 1 - Sources of data used in this book
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