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Applied statistical methods in agriculture, health and life sciences

This textbook teaches crucial statistical methods to answer research questions using a unique range of statistical software programs, including MINITAB and R. This textbook is developed for undergraduate students in agriculture, nursing, biology and biomedical research. Graduate students will also f...

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Detalles Bibliográficos
Autor principal: Lawal, Bayo
Lenguaje:eng
Publicado: Springer 2014
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-05555-8
http://cds.cern.ch/record/1952377
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author Lawal, Bayo
author_facet Lawal, Bayo
author_sort Lawal, Bayo
collection CERN
description This textbook teaches crucial statistical methods to answer research questions using a unique range of statistical software programs, including MINITAB and R. This textbook is developed for undergraduate students in agriculture, nursing, biology and biomedical research. Graduate students will also find it to be a useful way to refresh their statistics skills and to reference software options. The unique combination of examples is approached using MINITAB and R for their individual strengths. Subjects covered include among others data description, probability distributions, experimental design, regression analysis, randomized design and biological assay. Unlike other biostatistics textbooks, this text also includes outliers, influential observations in regression and an introduction to survival analysis. Material is taken from the author's extensive teaching and research in Africa, USA and the UK. Sample problems, references and electronic supplementary material accompany each chapter.
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spelling cern-19523772021-04-21T20:52:25Zdoi:10.1007/978-3-319-05555-8http://cds.cern.ch/record/1952377engLawal, BayoApplied statistical methods in agriculture, health and life sciencesMathematical Physics and MathematicsThis textbook teaches crucial statistical methods to answer research questions using a unique range of statistical software programs, including MINITAB and R. This textbook is developed for undergraduate students in agriculture, nursing, biology and biomedical research. Graduate students will also find it to be a useful way to refresh their statistics skills and to reference software options. The unique combination of examples is approached using MINITAB and R for their individual strengths. Subjects covered include among others data description, probability distributions, experimental design, regression analysis, randomized design and biological assay. Unlike other biostatistics textbooks, this text also includes outliers, influential observations in regression and an introduction to survival analysis. Material is taken from the author's extensive teaching and research in Africa, USA and the UK. Sample problems, references and electronic supplementary material accompany each chapter.Springeroai:cds.cern.ch:19523772014
spellingShingle Mathematical Physics and Mathematics
Lawal, Bayo
Applied statistical methods in agriculture, health and life sciences
title Applied statistical methods in agriculture, health and life sciences
title_full Applied statistical methods in agriculture, health and life sciences
title_fullStr Applied statistical methods in agriculture, health and life sciences
title_full_unstemmed Applied statistical methods in agriculture, health and life sciences
title_short Applied statistical methods in agriculture, health and life sciences
title_sort applied statistical methods in agriculture, health and life sciences
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-319-05555-8
http://cds.cern.ch/record/1952377
work_keys_str_mv AT lawalbayo appliedstatisticalmethodsinagriculturehealthandlifesciences