Research techniques: applications of probability models & descriptive statistics

dc.contributor.authorManolov, Rumen
dc.contributor.authorSolanas Pérez, Antonio
dc.date.accessioned2015-12-10T09:36:14Z
dc.date.available2015-12-10T09:36:14Z
dc.date.issued2015-12-10
dc.descriptionApart from working with this document, we suggested that the recommended readings about statistical content and the R software be consulted. Moreover, attending the classes is also useful for learning and for discussing aby doubts about the content.eng
dc.description.abstractThe current document contains a set of applications of the discrete and continuous probability models and univariate and bivariate statistics. The applications are presented in terms of numerical results and graphical representations, as is usually done for statistical content. The plots are enhanced using the capabilities of the R software in order to gain a better understanding of the data and of what is being done. The R code for obtaining both the numerical and the graphical results is provided so that the reader can use it for his/her analysis beyond this document. Finally, the applications can also be understood as a set of exercises for which the correct answers are provided.eng
dc.format.extent59 p.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/2445/68361
dc.language.isoengeng
dc.rightscc-by-nc-nd (c) Manolov, Rumen et al., 2015cat
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesseng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/deed.ca
dc.sourceOMADO (Objectes i MAterials DOcents)
dc.subject.classificationEstadísticacat
dc.subject.classificationProbabilitatscat
dc.titleResearch techniques: applications of probability models & descriptive statisticseng
dc.typeinfo:eu-repo/semantics/othereng

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