Modern Analysis of Biological Data. Generalized Linear Models in R
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F16%3A00458433" target="_blank" >RIV/67985807:_____/16:00458433 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Modern Analysis of Biological Data. Generalized Linear Models in R
Original language description
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.
Czech name
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Czech description
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Classification
Type
B - Specialist book
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
ISBN
978-80-210-8019-5
Number of pages
226
Publisher name
Masarykova univerzita
Place of publication
Brno
UT code for WoS book
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