Introduction to Statistics - eNotes

Per B. Brockhoff; Jan Kloppenborg Møller; Elisabeth Wreford Andersen; Peder Bacher; Lasse Engbo Christiansen

Introduction to Statistics - eNotes

Per B. Brockhoff, Jan Kloppenborg Møller, Elisabeth Wreford Andersen, Peder Bacher, Lasse Engbo Christiansen

Publikation: Andet › Udgivelser på nettet - Net-publikation › Undervisning

Abstract

Online lærebog anvendt i undervisningen på Introduktion til Statistik kurserne på DTU, som giver en grundlæggende indføring i anvendt statistik henvendt til ingeniører. De nødvendige statistiske og sandsynlighedsteoretiske begreber introduceres (stokastisk variabel, tætheds- og fordelingsfunktion, middelværdi og varians, mm.) og derefter præsenteres de mest grundlæggende statistiske analyseteknikker: Konfidensinterval, hypotesetest, simulering, simpel og multipel regression, ANOVA, og analyse af proportionstabeller. Der gives eksempler for alle begreber og analyser i softwaren R.

Originalsprog	Engelsk
Publikationsdato	2015
Status	Udgivet - 2015
Udgivet eksternt	Ja

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https://02402.compute.dtu.dk/enotes/book-IntroStatistics

Citationsformater

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abstract = "Online textbook used in the introductory statistics courses at DTU. It provides a basic introduction to applied statistics for engineers. The necessary elements from probability theory are introduced (stochastic variable, density and distribution function, mean and variance, etc.) and thereafter the most basic statistical analysis methods are presented: Confidence band, hypothesis testing, simulation, simple and muliple regression, ANOVA and analysis of contingency tables. Examples with the software R are included for all presented theory and methods.",

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T1 - Introduction to Statistics - eNotes

AU - Brockhoff, Per B.

AU - Møller, Jan Kloppenborg

AU - Andersen, Elisabeth Wreford

AU - Bacher, Peder

AU - Christiansen, Lasse Engbo

PY - 2015

Y1 - 2015

N2 - Online textbook used in the introductory statistics courses at DTU. It provides a basic introduction to applied statistics for engineers. The necessary elements from probability theory are introduced (stochastic variable, density and distribution function, mean and variance, etc.) and thereafter the most basic statistical analysis methods are presented: Confidence band, hypothesis testing, simulation, simple and muliple regression, ANOVA and analysis of contingency tables. Examples with the software R are included for all presented theory and methods.

AB - Online textbook used in the introductory statistics courses at DTU. It provides a basic introduction to applied statistics for engineers. The necessary elements from probability theory are introduced (stochastic variable, density and distribution function, mean and variance, etc.) and thereafter the most basic statistical analysis methods are presented: Confidence band, hypothesis testing, simulation, simple and muliple regression, ANOVA and analysis of contingency tables. Examples with the software R are included for all presented theory and methods.

M3 - Net publication - Internet publication

ER -

Introduction to Statistics - eNotes

Abstract

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Fingeraftryk

Citationsformater