A course on Small Area Estimation and Mixed Models: methods, theory and applications in R
Gespeichert in:
Hauptverfasser: | , |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Cham
Springer International Publishing
[2021]
|
Schriftenreihe: | Statistics for Social and Behavioral Sciences
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Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | xx, 599 Seiten Diagramme |
ISBN: | 9783030637569 |
Internformat
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245 | 1 | 0 | |a A course on Small Area Estimation and Mixed Models |b methods, theory and applications in R |c Domingo Morales, María Dolores Esteban, Agustín Pérez, Tomáš Hobza |
264 | 1 | |a Cham |b Springer International Publishing |c [2021] | |
264 | 4 | |c © 2021 | |
300 | |a xx, 599 Seiten |b Diagramme | ||
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Datensatz im Suchindex
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author | Morales, Domingo Esteban, María Dolores |
author_GND | (DE-588)1232545708 (DE-588)1233493191 |
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author_role | aut aut |
author_sort | Morales, Domingo |
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ctrlnum | (OCoLC)1310245598 (DE-599)HBZHT020877673 |
discipline | Wirtschaftswissenschaften |
discipline_str_mv | Wirtschaftswissenschaften |
format | Book |
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illustrated | Not Illustrated |
index_date | 2024-07-03T19:21:25Z |
indexdate | 2024-07-10T09:23:59Z |
institution | BVB |
isbn | 9783030637569 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033259486 |
oclc_num | 1310245598 |
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owner_facet | DE-473 DE-BY-UBG |
physical | xx, 599 Seiten Diagramme |
publishDate | 2021 |
publishDateSearch | 2021 |
publishDateSort | 2021 |
publisher | Springer International Publishing |
record_format | marc |
series2 | Statistics for Social and Behavioral Sciences |
spelling | Morales, Domingo Verfasser (DE-588)1232545708 aut A course on Small Area Estimation and Mixed Models methods, theory and applications in R Domingo Morales, María Dolores Esteban, Agustín Pérez, Tomáš Hobza Cham Springer International Publishing [2021] © 2021 xx, 599 Seiten Diagramme txt rdacontent n rdamedia nc rdacarrier Statistics for Social and Behavioral Sciences Stichprobennahme (DE-588)4183250-4 gnd rswk-swf Stichprobennahme (DE-588)4183250-4 s DE-604 Esteban, María Dolores Verfasser (DE-588)1233493191 aut Erscheint auch als Online-Ausgabe, eBook 978-3-030-63757-6 V:DE-605;X:Imageware application/pdf http://digitale-objekte.hbz-nrw.de/storage2/2021/05/01/file_5/9024488.pdf Inhaltsverzeichnis |
spellingShingle | Morales, Domingo Esteban, María Dolores A course on Small Area Estimation and Mixed Models methods, theory and applications in R Stichprobennahme (DE-588)4183250-4 gnd |
subject_GND | (DE-588)4183250-4 |
title | A course on Small Area Estimation and Mixed Models methods, theory and applications in R |
title_auth | A course on Small Area Estimation and Mixed Models methods, theory and applications in R |
title_exact_search | A course on Small Area Estimation and Mixed Models methods, theory and applications in R |
title_exact_search_txtP | A course on Small Area Estimation and Mixed Models methods, theory and applications in R |
title_full | A course on Small Area Estimation and Mixed Models methods, theory and applications in R Domingo Morales, María Dolores Esteban, Agustín Pérez, Tomáš Hobza |
title_fullStr | A course on Small Area Estimation and Mixed Models methods, theory and applications in R Domingo Morales, María Dolores Esteban, Agustín Pérez, Tomáš Hobza |
title_full_unstemmed | A course on Small Area Estimation and Mixed Models methods, theory and applications in R Domingo Morales, María Dolores Esteban, Agustín Pérez, Tomáš Hobza |
title_short | A course on Small Area Estimation and Mixed Models |
title_sort | a course on small area estimation and mixed models methods theory and applications in r |
title_sub | methods, theory and applications in R |
topic | Stichprobennahme (DE-588)4183250-4 gnd |
topic_facet | Stichprobennahme |
url | http://digitale-objekte.hbz-nrw.de/storage2/2021/05/01/file_5/9024488.pdf |
work_keys_str_mv | AT moralesdomingo acourseonsmallareaestimationandmixedmodelsmethodstheoryandapplicationsinr AT estebanmariadolores acourseonsmallareaestimationandmixedmodelsmethodstheoryandapplicationsinr |