Modern Analysis of Biological Data: Generalized Linear Models in R

Stanislav Pekár

ISBN 10: 8021080191 / ISBN 13: 9788021080195

Edité par Muni Press, 2016

Kniha je zamerena na regresni modely, konkretne jednorozmerne zobecnenelinearni modely (GLM). Je urcena predevsim studentum a kolegum z biologickychoboru a vyzaduje pouze zakladni statisticke vzdelani, jakym je napr.jednosemestrovy kurz biostatistiky. Text knihy obsahuje nezbytne minimumstatisticke teorie, predevsim vsak reseni 18 realnych prikladu z oblastibiologie. Kazdy priklad je rozpracovan od popisu a stanoveni cile pres vyvojstatistickeho modelu az po zaver. K analyze dat je pouzit popularni a volnedostupny statisticky software R. Priklady byly zamerne vybrany tak, abyupozornily na lecktere problemy a chyby, ktere se mohou v prubehu analyzy datvyskytnout. Zaroven maji ctenare motivovat k tomu, jak o statistickychmodelech premyslet a jak je pouzivat. Reseni prikladu si muze ctenar vyzkousetsam na datech, jez jsou dodavana spolu s knihou. N° de réf. du vendeur 9e44f24a-1e9b-4bb7-8654-e2ecf30178b6

Synopsis :

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.

Présentation de l'éditeur: 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.

Détails bibliographiques

Titre : Modern Analysis of Biological Data: ...
Éditeur : Muni Press
Date d'édition : 2016
Reliure : Softcover
Etat : As New