PEKÁR, Stanislav and Marek BRABEC. Modern Analysis of Biological Data. Generalized Linear Models in R. 1. vyd. Brno: Masarykova univerzita, 2016, 226 pp. ISBN 978-80-210-8019-5.
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Basic information
Original name Modern Analysis of Biological Data. Generalized Linear Models in R
Name in Czech Moderní analýza biologických dat. Zobecněné lineární modely v prostředí R
Authors PEKÁR, Stanislav and Marek BRABEC.
Edition 1. vyd. Brno, 226 pp. 2016.
Publisher Masarykova univerzita
Other information
Original language Czech
Type of outcome Book on a specialized topic
Field of Study 10103 Statistics and probability
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
WWW Online knihkupectví Munipress
ISBN 978-80-210-8019-5
Keywords (in Czech) GLM; statistika; analyza dat
Keywords in English GLM; statistics; data analysis
Tags Munipress, munipress-propagace
Tags Reviewed
Changed by Changed by: Mgr. Martina Dvořáková, učo 180818. Changed: 1/8/2016 10:29.
Abstract
The book is focused on regression models, specifically generalized linear models (GLM). It is intended for biology students and scholars and requires only basic statistical knowledge, gained e.g. in an one-semester course of biostatistics. The text includes a minimum of statistical theory and eighteen real examples from biology. Each example consists of a description of a problem, aims, development of statistical models, analysis, diagnosis, and conclusion. Analysis is performed using R. All examples were selected to show a variety of problems and potential pitfalls that can arise during statistical analysis. At the same time, examples show how to think about the statistical models and how to use them. Analyses can be practised by readers using the data that come with the book.
Links
MSM0021622416, plan (intention)Name: Diverzita biotických společenstev a populací: kauzální analýza variability v prostoru a čase
Investor: Ministry of Education, Youth and Sports of the CR, Diversity of Biotic Communities and Populations: Causal Analysis of variation in space and time
PrintDisplayed: 24/4/2024 15:39