Author | Lindsey, James K. author |
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Title | Applying Generalized Linear Models [electronic resource] / by James K. Lindsey |
Imprint | New York, NY : Springer New York, 1997 |
Connect to | http://dx.doi.org/10.1007/b98856 |
Descript | XIV, 256 p. online resource |
Generalized Linear Modelling: Statistical Modelling -- Exponential Dispersion Models -- Linear Structure -- Three Components of a GLM -- Possible Models -- Inference -- Exercises. Discrete Data: Log Linear Models -- Models of Change -- Overdispersion -- Exercises. Fitting and Comparing Probability Distributions: Fitting Distributions -- Setting Up the Model -- Special Cases -- Exercises. Growth Curves: Exponential Growth Curves -- Logistic Growth Curve -- Gomperz Growth Curve -- More Complex Models -- Exercises. Time Series: Poisson Processes -- Markov Processes -- Repeated Measurements -- Exercises. Survival Data: General Concepts -- 'Nonparametric' Estimation -- Parametric Models -- 'Semiparametric' Models -- Exercises. Event Histories: Event Histories and Survival Distributions -- Counting processes -- Modelling Event Histories -- Generalizations -- Exercises. Spatial data: Spatial Interaction -- Spatial Patterns -- Exercises. Normal Models: Linear Regression -- Analysis of Variance -- Nonlinear Regression -- Exercises. Dynamic Models: Dynamic Generalized Linear Models -- Normal Models -- Count Data -- Positive Response Data -- Continuous Time Nonlinear Models. Appendices: Inference -- Diagnostics -- References -- Index