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Highly Cited

2002

Highly Cited

2002

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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