Verwandte Artikel zu Generalized Linear Mixed Models with Applications in...
- VerlagSpringer
- Erscheinungsdatum2023
- ISBN 10 3031328027
- ISBN 13 9783031328022
- EinbandTapa blanda
- SpracheEnglisch
- Auflage1
- Anzahl der Seiten444
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Generalized Linear Mixed Models With Applications in Agriculture and Biology
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Paperback. Zustand: Brand New. 438 pages. 9.25x6.10x0.89 inches. In Stock. This item is printed on demand. Bestandsnummer des Verkäufers __3031328027
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Generalized Linear Mixed Models with Applications in Agriculture and Biology
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Bestandsnummer des Verkäufers S0-9783031328022
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Generalized Linear Mixed Models with Applications in Agriculture and Biology
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Generalized Linear Mixed Models with Applications in Agriculture and Biology
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Generalized Linear Mixed Models with Applications in Agriculture and Biology
Verlag:
Springer International Publishing Aug 2023, 2023
ISBN 10: 3031328027
ISBN 13: 9783031328022
Neu
Taschenbuch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This open access bookoffers an introduction to mixed generalized linear models with applications to the biological sciences, basically approached from an applications perspective, without neglecting the rigor of the theory. For this reason, the theory that supports each of the studied methods is addressed and later - through examples - its application is illustrated. In addition, some of the assumptions and shortcomings of linear statistical models in general are also discussed.An alternative to analyse non-normal distributed response variables is the use of generalized linear models (GLM) to describe the response data with an exponential family distribution that perfectly fits the real response. Extending this idea to models with random effects allows the use of Generalized Linear Mixed Models (GLMMs). The use of these complex models was not computationally feasible until the recent past, when computational advances and improvements to statistical analysis programs allowed users to easily, quickly, and accurately apply GLMM to data sets. GLMMs have attracted considerable attention in recent years. The word 'Generalized' refers to non-normal distributions for the response variable and the word 'Mixed' refers to random effects, in addition to the fixed effects typical of analysis of variance (or regression). With the development of modern statistical packages such as Statistical Analysis System (SAS), R, ASReml, among others, a wide variety of statistical analyzes are available to a wider audience. However, to be able to handle and master more sophisticated models requires proper training and great responsibility on the part of the practitioner to understand how these advanced tools work. GMLM is an analysis methodology used in agriculture and biology that can accommodate complex correlation structures and types of response variables. 444 pp. Englisch. Bestandsnummer des Verkäufers 9783031328022
Anzahl: 2 verfügbar
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Generalized Linear Mixed Models with Applications in Agriculture and Biology
Verlag:
Springer International Publishing, 2023
ISBN 10: 3031328027
ISBN 13: 9783031328022
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This open access bookoffers an introduction to mixed generalized linear models with applications to the biological sciences, basically approached from an applications perspective, without neglecting the rigor of the theory. For this reason, the theory that supports each of the studied methods is addressed and later - through examples - its application is illustrated. In addition, some of the assumptions and shortcomings of linear statistical models in general are also discussed.An alternative to analyse non-normal distributed response variables is the use of generalized linear models (GLM) to describe the response data with an exponential family distribution that perfectly fits the real response. Extending this idea to models with random effects allows the use of Generalized Linear Mixed Models (GLMMs). The use of these complex models was not computationally feasible until the recent past, when computational advances and improvements to statistical analysis programs allowed users to easily, quickly, and accurately apply GLMM to data sets. GLMMs have attracted considerable attention in recent years. The word 'Generalized' refers to non-normal distributions for the response variable and the word 'Mixed' refers to random effects, in addition to the fixed effects typical of analysis of variance (or regression). With the development of modern statistical packages such as Statistical Analysis System (SAS), R, ASReml, among others, a wide variety of statistical analyzes are available to a wider audience. However, to be able to handle and master more sophisticated models requires proper training and great responsibility on the part of the practitioner to understand how these advanced tools work. GMLM is an analysis methodology used in agriculture and biology that can accommodate complex correlation structures and types of response variables. Bestandsnummer des Verkäufers 9783031328022
Anzahl: 1 verfügbar
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Generalized Linear Mixed Models With Applications in Agriculture and Biology
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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Paperback. Zustand: Brand New. 438 pages. 9.25x6.10x0.89 inches. In Stock. Bestandsnummer des Verkäufers x-3031328027
Anzahl: 2 verfügbar
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Generalized Linear Mixed Models with Applications in Agriculture and Biology
Verlag:
Springer International Publishing, 2023
ISBN 10: 3031328027
ISBN 13: 9783031328022
Neu
Softcover
Anbieter: moluna, Greven, Deutschland
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Generalized Linear Models are an alternative statistical solution to no normal distribution of response variables In agriculture and biology several responses variable are no continuous and no normally distributedComputational advances allo. Bestandsnummer des Verkäufers 851835599
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