Cited by 1,013Statistical Methods and Bayesian InferenceStatistical Methods and ApplicationsStatistical Distribution Estimation and Applications

Generalized Linear Models

McCullagh, P., Nelder, J.A.·2019·Routledge eBooks

Abstract

The success of the first edition of Generalized Linear Models led to the updated Second Edition, which continues to provide a definitive unified, treatment of methods for the analysis of diverse types of data. Today, it remains popular for its clarity, richness of content and direct relevance to agricultural, biological, health, engineering, and ot

Integrity signals

Registry

Crossref · 10.1201/9780203753736

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cited by

Sorted by citations

Authors
McCullagh, P., & Nelder, J. A.
Venue
Routledge eBooks
Publisher
Routledge
Published
2019-01-22
OpenAlex
W4288625073
Cited by
1,013
References
0
Citations by year
2026: 161 · 2025: 212 · 2024: 145 · 2023: 112 · 2022: 107 · 2021: 69 · 2020: 49 · 2019: 24 · 2018: 10 · 2017: 2 · 2016: 9 · 2015: 7 · 2014: 8 · 2013: 6 · 2012: 8
FWCI
22.80
Type
book
Language
en
Open access
closed
Locations
Routledge eBooks (publishedVersion)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Distribution Estimation and Applications
Keywords
generalized linear models, regression analysis, categorical data analysis, probability distributions, link functions, statistical inference

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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