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Extending the linear model with R. Generalized linear, mixed effects and nonparametric regression models

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Xehetasun bibliografikoak
Egile nagusia:	Faraway, Julian J (Egilea)
Formatua:	Liburua
Hizkuntza:	ingelesa
Argitaratua:	Boca Ratón, FL., USA Chapman and Hall-CRC 2006
Saila:	Texts in Statitical Science
Gaiak:	Modelos matemáticos R (lenguajes de programas informáticos) Análisis de varianza
Sarrera elektronikoa:	Disponible Online
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!

Antzeko izenburuak

Extending the Linear Model with R; Generalized linear, mixed effects and nonparametric regression models
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Linear models with R
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Linear models with R
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Learning Bayesian models with R: become an expert in Bayesian machine learning methods usin R and apply them to solve real-world Big Data Problems
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Linear models in statistics
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Statistical tests for mixed linear models
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Generalized additive models: an introduction with R
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Mixed effects models and extensions in ecology with R.
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Linear model theory: unvariate, multivariate, and mixed models
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Methods and applications of linear models: regression and the analysis of variance
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The theory of linear models
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Linear probability, logit, and probit models
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Statistical modelling in GLIM
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Concepts of mathematical modeling.
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Mathematical Modelling. Case Studies and Projects
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A first course in mathematical modeling.
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Introduction to probability models.
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