Modern applied regressions: bayesian and frequentist analysis of categorical and limited response variables with R and Stan
Modern Applied Regressions creates an intricate mural with mosaics of categorical and limited response variable (CLRV) models using both Bayesian and Frequentist approaches. Written for graduate students, junior researchers, and quantitative analysts in behavioral, health, and social sciences
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press, Taylor & Francis Group
2023
|
| Schriftenreihe: | Chapman and Hall/CRC Statistics in the Social and Behavioral Sciences Series
|
| Schlagworte: | |
| Zusammenfassung: | Modern Applied Regressions creates an intricate mural with mosaics of categorical and limited response variable (CLRV) models using both Bayesian and Frequentist approaches. Written for graduate students, junior researchers, and quantitative analysts in behavioral, health, and social sciences |
| Beschreibung: | xv, 281 Seiten Illustrationen, Diagramme |
| ISBN: | 9780367173876 9781032376745 |
Internformat
MARC
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| 020 | |a 9781032376745 |c pbk |9 9781032376745 | ||
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| 035 | |a (DE-599)BVBBV049316020 | ||
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| 084 | |a QH 234 |0 (DE-625)141549: |2 rvk | ||
| 100 | 1 | |a Xu, Jun |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Modern applied regressions |b bayesian and frequentist analysis of categorical and limited response variables with R and Stan |c Jun Xu |
| 264 | 1 | |a Boca Raton ; London ; New York |b CRC Press, Taylor & Francis Group |c 2023 | |
| 300 | |a xv, 281 Seiten |b Illustrationen, Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Chapman and Hall/CRC Statistics in the Social and Behavioral Sciences Series | |
| 520 | |a Modern Applied Regressions creates an intricate mural with mosaics of categorical and limited response variable (CLRV) models using both Bayesian and Frequentist approaches. Written for graduate students, junior researchers, and quantitative analysts in behavioral, health, and social sciences | ||
| 650 | 4 | |a Regression analysis | |
| 650 | 4 | |a Bayesian statistical decision theory | |
| 650 | 4 | |a R (Computer program language) | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-0-429-05646-8 |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-034577051 | ||
Datensatz im Suchindex
| _version_ | 1804185821747609600 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Xu, Jun |
| author_facet | Xu, Jun |
| author_role | aut |
| author_sort | Xu, Jun |
| author_variant | j x jx |
| building | Verbundindex |
| bvnumber | BV049316020 |
| classification_rvk | QH 234 |
| ctrlnum | (OCoLC)1398602602 (DE-599)BVBBV049316020 |
| dewey-full | 519.536 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.536 |
| dewey-search | 519.536 |
| dewey-sort | 3519.536 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik Wirtschaftswissenschaften |
| discipline_str_mv | Mathematik Wirtschaftswissenschaften |
| format | Book |
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| id | DE-604.BV049316020 |
| illustrated | Illustrated |
| index_date | 2024-07-03T22:42:09Z |
| indexdate | 2024-07-10T10:01:20Z |
| institution | BVB |
| isbn | 9780367173876 9781032376745 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034577051 |
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| physical | xv, 281 Seiten Illustrationen, Diagramme |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | CRC Press, Taylor & Francis Group |
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| series2 | Chapman and Hall/CRC Statistics in the Social and Behavioral Sciences Series |
| spelling | Xu, Jun Verfasser aut Modern applied regressions bayesian and frequentist analysis of categorical and limited response variables with R and Stan Jun Xu Boca Raton ; London ; New York CRC Press, Taylor & Francis Group 2023 xv, 281 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Chapman and Hall/CRC Statistics in the Social and Behavioral Sciences Series Modern Applied Regressions creates an intricate mural with mosaics of categorical and limited response variable (CLRV) models using both Bayesian and Frequentist approaches. Written for graduate students, junior researchers, and quantitative analysts in behavioral, health, and social sciences Regression analysis Bayesian statistical decision theory R (Computer program language) Erscheint auch als Online-Ausgabe 978-0-429-05646-8 |
| spellingShingle | Xu, Jun Modern applied regressions bayesian and frequentist analysis of categorical and limited response variables with R and Stan Regression analysis Bayesian statistical decision theory R (Computer program language) |
| title | Modern applied regressions bayesian and frequentist analysis of categorical and limited response variables with R and Stan |
| title_auth | Modern applied regressions bayesian and frequentist analysis of categorical and limited response variables with R and Stan |
| title_exact_search | Modern applied regressions bayesian and frequentist analysis of categorical and limited response variables with R and Stan |
| title_exact_search_txtP | Modern applied regressions bayesian and frequentist analysis of categorical and limited response variables with R and Stan |
| title_full | Modern applied regressions bayesian and frequentist analysis of categorical and limited response variables with R and Stan Jun Xu |
| title_fullStr | Modern applied regressions bayesian and frequentist analysis of categorical and limited response variables with R and Stan Jun Xu |
| title_full_unstemmed | Modern applied regressions bayesian and frequentist analysis of categorical and limited response variables with R and Stan Jun Xu |
| title_short | Modern applied regressions |
| title_sort | modern applied regressions bayesian and frequentist analysis of categorical and limited response variables with r and stan |
| title_sub | bayesian and frequentist analysis of categorical and limited response variables with R and Stan |
| topic | Regression analysis Bayesian statistical decision theory R (Computer program language) |
| topic_facet | Regression analysis Bayesian statistical decision theory R (Computer program language) |
| work_keys_str_mv | AT xujun modernappliedregressionsbayesianandfrequentistanalysisofcategoricalandlimitedresponsevariableswithrandstan |