Dettaglio del documento
Generalized linear models and extensions
Abstract
This book presents a wide range of topics to address the needs of several groups of users of rapidly growing methods of generalized linear models.
[...]
Since the introduction of the idea of generalized linear models (GLM) in early seventies, during the past four decades the modelling of statistical data have experienced a major transformation from linear models based on normality assumption to a more flexible unified approach of generalized linear models. The number of readers and users of generalized linear models have increased manifold. In addition, the use of generalized linear models has expanded in many new fields of applications where statistical models are being employed at an increasing rate. It is important to note here that the learners and users of GLM have a widely varied background in different disciplines [...]. (Estratto dal sito dell'editore)
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| eBook | ||
| Monografia | ||
| Description | *Generalized linear models and extensions / M. Ataharul Islam, Soma Chowdhury Biswas. - Singapore : Springer, 2025. - 1 testo elettronico (xvii, 266 p. : ill.) | |
| ISBN E-Book | 9789819647262 | |
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| Subjects | 62-XX - Statistics [MSC 2020] | |
| 62J12 - Generalized linear models (logistic models) [MSC 2020] | ||
| 62J15 - Paired and multiple comparisons; multiple testing [MSC 2020] | ||
| Parole chiave |
Big Data Analytics
Data science models Generalized linear Model Linear Models Longitudinal data analysis Machine Learning Repeated measures Statistical models |
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| Publication place | Singapore | |
| Publisher | Springer <editore> | |
| Publication year | 2025 | |
| Thesaurus | 62-XX | |
| 62J12 | ||
| 62J15 | ||
| Generalized linear models (logistic models) [MSC 2020] | ||
| Paired and multiple comparisons; multiple testing [MSC 2020] | ||
| Statistics [MSC 2020] |