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Generalized Linear Models
The technique of iterative weighted linear regression can be used to obtain maximum likelihood estimates of the parameters with observations distributed according to some exponential family andExpand
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Regression Models for Ordinal Data
SUMMARY A general class of regression models for ordinal data is developed and discussed. These models utilize the ordinal nature of the data by describing various modes of stochastic ordering andExpand
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Generalized linear models. 2nd ed.
TLDR
Addresses a class of statistical models that generalizes classical linear models-extending them to include many other models useful in statistical analysis. Expand
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Generalized Linear Models, 2nd Edn.
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Generalized Linear Models
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Analysis of Ordinal Categorical Data
From the combination of knowledge and actions, someone can improve their skill and ability. It will lead them to live and work much better. This is why, the students, workers, or even employersExpand
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Tensor Methods in Statistics
This book provides a systematic development of tensor methods in statistics, beginning with the study of multivariate moments and cumulants. The effect on moment arrays and on cumulant arrays ofExpand
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Bias Correction in Generalized Linear Models
SUMMARY In this paper we derive general formulae for first-order biases of maximum likelihood estimates of the linear parameters, linear predictors, the dispersion parameter and fitted values inExpand
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Quasi-Likelihood Functions
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Generalized Linear Models
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