00663cam1 2200217 450 E60020002419620200622075946.020070111g00009999|||||ita|0103 bafreFR<<Les >>moines en occidentIvan GobryParisFayardv.24 cm.001SOBE000639122000 <<1: De >>saint Antoine a saint Basile : les origines orientales / Ivan GobryGobry, IvanA600200040148070125369ITUNISOB20200622RICAE600200024196M 102 Monografia moderna SBNMMoines en occident302125UNISOB02180nam 2200445z- 450 991055759630332120230221132609.0(CKB)5400000000043714(oapen)https://directory.doabooks.org/handle/20.500.12854/72348(EXLCZ)99540000000004371420202110d2020 |y 0spaurmn|---annantxtrdacontentcrdamediacrrdacarrierLa autonomía universitaria en diálogoA cien años de la Reforma de CórdobaHerediaEditorial Universidad Nacional (EUNA)20201 electronic resource (176 p.)9977-65-534-0 Latin American public institutions of higher education, particularly those in Costa Rica, face important challenges: the enormous task of looking at themselves with a greater critical sense to propose and enable organizational and functional changes that ensure a greater social impact in their substantive work, the imperious need to have secure mechanisms that make possible its financial sustainability in the long term, within the framework of instituting more transparent, systematic and participatory processes of accountability and, finally, the political-social consideration universities, as a social-public asset and a human right, whose primary responsibility falls on the State.Autonomía universitaria en diálogo Autonomía universitaria en diálogo Social issues & processesbicsscSocial & cultural historybicsscScientific ResearchUniversidad Nacional (Costa Rica)Student MovementsEducational ModelsUniversity AutonomySocial AspectsFinancing Of EducationHigher EducationSocial issues & processesSocial & cultural historyGonzález Alvarado Franciscoauth1312832BOOK9910557596303321La autonomía universitaria en diálogo3031006UNINA04253nam 22007455 450 991073940610332120250325151138.09783642368097364236809310.1007/978-3-642-36809-7(CKB)2670000000403423(EBL)1317691(OCoLC)854976127(SSID)ssj0000962491(PQKBManifestationID)11491865(PQKBTitleCode)TC0000962491(PQKBWorkID)10969734(PQKB)11178315(DE-He213)978-3-642-36809-7(MiAaPQ)EBC1317691(PPN)172426030(EXLCZ)99267000000040342320130704d2013 u| 0engur|n|---|||||txtccrAnalyzing Compositional Data with R /by K. Gerald van den Boogaart, Raimon Tolosana-Delgado1st ed. 2013.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2013.1 online resource (269 p.)Use R!,2197-5744Description based upon print version of record.9783642368080 3642368085 Includes bibliographical references and index.Introduction -- Fundamental Concepts of Compositional Data Analysis -- Distributions for Random Compositions -- Descriptive Analysis of Compositional Data -- Linear Models for Compositions -- Multivariate Statistics -- Zeroes, Missings and Outliers -- References -- Index.  .This book presents the statistical analysis of compositional data sets, i.e., data in percentages, proportions, concentrations, etc. The subject is covered from its grounding principles to the practical use in descriptive exploratory analysis, robust linear models and advanced multivariate statistical methods, including zeros and missing values, and paying special attention to data visualization and model display issues. Many illustrated examples and code chunks guide the reader into their modeling and interpretation. And, though the book primarily serves as a reference guide for the R package “compositions,” it is also a general introductory text on Compositional Data Analysis. Awareness of their special characteristics spread in the Geosciences in the early sixties, but a strategy for properly dealing with them was not available until the works of Aitchison in the eighties. Since then, research has expanded our understanding of their theoretical principles and the potentials and limitations of their interpretation. This is the first comprehensive textbook addressing these issues, as well as their practical implications with regard to software. The book is intended for scientists interested in statistically analyzing their compositional data. The subject enjoys relatively broad awareness in the geosciences and environmental sciences, but the spectrum of recent applications also covers areas like medicine, official statistics, and economics. Readers should be familiar with basic univariate and multivariate statistics. Knowledge of R is recommended but not required, as the book is self-contained.Use R!,2197-5744StatisticsMathematical statisticsData processingStatisticsGeochemistryStatistical Theory and MethodsStatistics and ComputingStatistics in Engineering, Physics, Computer Science, Chemistry and Earth SciencesGeochemistryStatistics.Mathematical statisticsData processing.Statistics.Geochemistry.Statistical Theory and Methods.Statistics and Computing.Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.Geochemistry.005.55Boogaart Gerald Van den1759907MiAaPQMiAaPQMiAaPQBOOK9910739406103321Analyzing compositional data with R4198582UNINA