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Generalized linear models with examples in R / Peter K. Dunn, Gordon K. Smyth.

By: Contributor(s): Material type: TextSeries: Springer texts in statistics | Springer texts in statisticsPublication details: New York : Springer, 2018.Description: xx, 562 p. : 24 cmISBN:
  • 9781441901170 (hbk.)
Subject(s): DDC classification:
  • 22 519.535 DUN
Contents:
Statistical models -- Linear regression models -- Linear regression models: diagnostics and model-building -- Beyond linear regression: the method of maximum likelihood -- Generalized linear models: structure -- Generalized linear models: estimation -- Generalized linear models: inference -- Generalized linear models: diagnostics -- Models for proportions: binomial GLMs -- Models for counts: Poisson and negative binomial GLMs -- Positive continuous data: gamma and inverse Gaussian GLMs -- Tweedie GLMs -- Extra problems.
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Books Central Library Reference Reference 519.535 DUN (Browse shelf(Opens below)) Not for loan 235265

Includes bibliographical references and index.

Statistical models -- Linear regression models -- Linear regression models: diagnostics and model-building -- Beyond linear regression: the method of maximum likelihood -- Generalized linear models: structure -- Generalized linear models: estimation -- Generalized linear models: inference -- Generalized linear models: diagnostics -- Models for proportions: binomial GLMs -- Models for counts: Poisson and negative binomial GLMs -- Positive continuous data: gamma and inverse Gaussian GLMs -- Tweedie GLMs -- Extra problems.

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