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Generalized linear model

Known as: Link function, General linear modeling, Generalized linear models 
In statistics, the generalized linear model (GLM) is a flexible generalization of ordinary linear regression that allows for response variables that… Expand
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Papers overview

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Highly Cited
2002
Highly Cited
2002
  • E. Ziegel
  • Technometrics
  • 2002
  • Corpus ID: 39694478
good references for learning about the program, but given their second goal, expanding this appendix would make future editions… Expand
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Highly Cited
2001
Highly Cited
2001
From the first edition: Introduction Origins and motivation Notational conventions Applied or theoretical? Road map PART I… Expand
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Highly Cited
1999
Highly Cited
1999
Introduction Data Screening Ordinary Least-Squares Regression Logistic Regression Loglinear Analysis Factor Analysis Conclusion 
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Highly Cited
1995
Highly Cited
1995
Preface. Introduction. Approaches to Regression. Roughness Penalties. Extensions of the Roughness Penalty Approach. Computing the… Expand
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Highly Cited
1994
Highly Cited
1994
Introduction Generalized Linear Models and the Interpretation of Parameters Binary Logit and Probit Models Sequential Logit and… Expand
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Highly Cited
1994
Highly Cited
1994
Of course, from childhood to forever, we are always thought to love reading. It is not only reading the lesson book but also… Expand
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Highly Cited
1993
Highly Cited
1993
Addresses a class of statistical models that generalizes classical linear models-extending them to include many other models… Expand
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Highly Cited
1986
Highly Cited
1986
SUMMARY This paper proposes an extension of generalized linear models to the analysis of longitudinal data. We introduce a class… Expand
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Highly Cited
1984
Highly Cited
1984
The purpose of this handout is to briefly show that several seemingly unrelated models are actually all special cases of the… Expand
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Highly Cited
1972
Highly Cited
1972
The technique of iterative weighted linear regression can be used to obtain maximum likelihood estimates of the parameters with… Expand
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