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Modern analysis of biological data : generalized linear models in R /

Book written "for people who have only a basic knowledge of statistics (for example, people who have attended only a Basic statistics/Biostatistics course) but who need to correctly analyse the data resulting from their observations or experiments"--Page IX

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Pekár, Stano (Autor), Brabec, Marek (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Brno : Masaryk University Press, 2016.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Modern analysis of biological data :  |b generalized linear models in R /  |c Stano Pekar, Marek Brabec. 
246 3 0 |a Generalized linear models in R 
264 1 |a Brno :  |b Masaryk University Press,  |c 2016. 
300 |a 1 online resource (245 pages) :  |b graphs 
336 |a text  |b txt  |2 rdacontent 
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504 |a Includes bibliographical references (pages 237-238) and index. 
505 2 |a Statistical software. The R environment ; Installation and use of R ; Basic operations ; Data frames -- Exploratory data analysis (EDA). Expected value ; Variance ; Confidence intervals ; Summary tables ; Plots ; Distribution plots ; Scatter plots ; Box plots ; Lattice plots ; Interaction plots ; Bar plots ; Paired plots ; 3D plots ; Plots with whiskers ; Curves -- Statistical modelling. Regression model ; General linear model ; Generalized linear model ; Searching for the "correct" model ; Model selection ; Model diagnosis -- The first trial. An example ; EDA ; Presumed model ; Statistical analysis ; ANOVA table of Type I ; Nonlinear trends ; Removal of model terms ; Comparison of levels using contrasts ; Contrasts and the model parameterization ; Posterior simplification ; Diagnosis of the final model -- Systematic part. Regression ; ANOVA and ANODEV ; ANCOVA and ANCODEV ; Syntax of the systematic part -- Random part. Continuous measurements ; Counts and frequencies ; Relative frequencies -- Gaussian distribution. Description of LM and GLM ; Regression ; Weighted regression ; Multiple regression ; Two-way ANOVA ; One-way ANCOVA -- Gamma and lognormal distributions. Description of the Gamma model ; Description of the lognormal model ; Regression ; Two-way ANODEV ; Two-way ANCOVA -- Poisson distribution. Description of the Poisson model ; One-way ANODEV ; Overdispersion and underdispersion ; Multiple regression ; One-way ANCODEV ; Three-way ANODEV (Contingency table) -- Negative-bionomial distribution. Description of the negative-bionomial model ; One-way ANODEV -- Bionomial distribution. Description of bionomial model ; Two-way ANODEV ; Overdispersion and underdispersion ; Regression ; One-way ANCODEV ; Binary one-way ANCODEV. 
520 |a Book written "for people who have only a basic knowledge of statistics (for example, people who have attended only a Basic statistics/Biostatistics course) but who need to correctly analyse the data resulting from their observations or experiments"--Page IX 
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650 0 |a Analysis of variance. 
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650 0 |a Lognormal distribution. 
650 0 |a Poisson distribution. 
650 0 |a Distribution (Probability theory) 
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650 6 |a Analyse de variance. 
650 6 |a Loi de Gauss (Statistique) 
650 6 |a Distribution lognormale. 
650 6 |a Distribution de Poisson. 
650 6 |a Distribution (Théorie des probabilités) 
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650 7 |a Lognormal distribution.  |2 fast  |0 (OCoLC)fst01002115 
650 7 |a Poisson distribution.  |2 fast  |0 (OCoLC)fst01068206 
650 7 |a Quantitative research.  |2 fast  |0 (OCoLC)fst01742283 
700 1 |a Brabec, Marek,  |e author. 
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