Applied multivariate statistical analysis and related topics with R /:
Multivariate analysis is a popular area in statistics and data. This book provides a good balance between conceptual understanding, key theoretical presentation, and detailed implementation with software R for commonly used multivariate analysis models and methods in practice.
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
[Les Ulis] :
Science Press, EDP Sciences,
[2021]
|
| Schriftenreihe: | Current natural sciences.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Multivariate analysis is a popular area in statistics and data. This book provides a good balance between conceptual understanding, key theoretical presentation, and detailed implementation with software R for commonly used multivariate analysis models and methods in practice. |
| Beschreibung: | 1 online resource (viii, 238 pages) |
| Bibliographie: | Includes bibliographical references. |
| ISBN: | 9782759826025 2759826023 |
Internformat
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| 505 | 0 | |a Introduction -- Principal Components Analysis -- Factor Analysis -- Discriminant Analysis and Cluster Analysis -- Inference for a Multivariate Normal Population -- Discrete or Categorical Multivariate Data -- Copula Models -- Linear and Nonlinear Regression Models -- Generalized Linear Models -- Multivariate Regression and MANOVA Models -- Longitudinal Data, Panel Data, and Repeated Measurements -- Methods for Missing Data -- Robust Multivariate Analysis -- Selected Topics. | |
| 520 | |a Multivariate analysis is a popular area in statistics and data. This book provides a good balance between conceptual understanding, key theoretical presentation, and detailed implementation with software R for commonly used multivariate analysis models and methods in practice. | ||
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| author | Wu, Lang, 1963- Qiu, Jin |
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| contents | Introduction -- Principal Components Analysis -- Factor Analysis -- Discriminant Analysis and Cluster Analysis -- Inference for a Multivariate Normal Population -- Discrete or Categorical Multivariate Data -- Copula Models -- Linear and Nonlinear Regression Models -- Generalized Linear Models -- Multivariate Regression and MANOVA Models -- Longitudinal Data, Panel Data, and Repeated Measurements -- Methods for Missing Data -- Robust Multivariate Analysis -- Selected Topics. |
| ctrlnum | (OCoLC)1243546702 |
| dewey-full | 005.133 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
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| discipline | Informatik |
| format | Electronic eBook |
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| genre | Electronic book. |
| genre_facet | Electronic book. |
| id | ZDB-4-EBA-on1243546702 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-27T13:30:15Z |
| institution | BVB |
| isbn | 9782759826025 2759826023 |
| language | English |
| oclc_num | 1243546702 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (viii, 238 pages) |
| psigel | ZDB-4-EBA |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | Science Press, EDP Sciences, |
| record_format | marc |
| series | Current natural sciences. |
| series2 | Current natural sciences |
| spelling | Wu, Lang, 1963- author. https://id.oclc.org/worldcat/entity/E39PCjJBBHqBfFFrRrwq4PTVwd Applied multivariate statistical analysis and related topics with R / Lang Wu and Jin Qiu. [Les Ulis] : Science Press, EDP Sciences, [2021] ©2021 1 online resource (viii, 238 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Current natural sciences Includes bibliographical references. Introduction -- Principal Components Analysis -- Factor Analysis -- Discriminant Analysis and Cluster Analysis -- Inference for a Multivariate Normal Population -- Discrete or Categorical Multivariate Data -- Copula Models -- Linear and Nonlinear Regression Models -- Generalized Linear Models -- Multivariate Regression and MANOVA Models -- Longitudinal Data, Panel Data, and Repeated Measurements -- Methods for Missing Data -- Robust Multivariate Analysis -- Selected Topics. Multivariate analysis is a popular area in statistics and data. This book provides a good balance between conceptual understanding, key theoretical presentation, and detailed implementation with software R for commonly used multivariate analysis models and methods in practice. Online resource; title from digital title page (viewed on July 28, 2022). R (Computer program language) http://id.loc.gov/authorities/subjects/sh2002004407 Statistics Data processing. http://id.loc.gov/authorities/subjects/sh85127583 R (Langage de programmation) Statistique Informatique. MATHEMATICS Probability & Statistics Multivariate Analysis. bisacsh R (Computer program language) fast Statistics Data processing fast Electronic book. Qiu, Jin, author. Print version: Wu, Lang, 1963- Applied multivariate statistical analysis and related topics with R. Les Ulis : EDP Sciences, ©2021 9782759826018 Current natural sciences. FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2892888 Volltext |
| spellingShingle | Wu, Lang, 1963- Qiu, Jin Applied multivariate statistical analysis and related topics with R / Current natural sciences. Introduction -- Principal Components Analysis -- Factor Analysis -- Discriminant Analysis and Cluster Analysis -- Inference for a Multivariate Normal Population -- Discrete or Categorical Multivariate Data -- Copula Models -- Linear and Nonlinear Regression Models -- Generalized Linear Models -- Multivariate Regression and MANOVA Models -- Longitudinal Data, Panel Data, and Repeated Measurements -- Methods for Missing Data -- Robust Multivariate Analysis -- Selected Topics. R (Computer program language) http://id.loc.gov/authorities/subjects/sh2002004407 Statistics Data processing. http://id.loc.gov/authorities/subjects/sh85127583 R (Langage de programmation) Statistique Informatique. MATHEMATICS Probability & Statistics Multivariate Analysis. bisacsh R (Computer program language) fast Statistics Data processing fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh2002004407 http://id.loc.gov/authorities/subjects/sh85127583 |
| title | Applied multivariate statistical analysis and related topics with R / |
| title_auth | Applied multivariate statistical analysis and related topics with R / |
| title_exact_search | Applied multivariate statistical analysis and related topics with R / |
| title_full | Applied multivariate statistical analysis and related topics with R / Lang Wu and Jin Qiu. |
| title_fullStr | Applied multivariate statistical analysis and related topics with R / Lang Wu and Jin Qiu. |
| title_full_unstemmed | Applied multivariate statistical analysis and related topics with R / Lang Wu and Jin Qiu. |
| title_short | Applied multivariate statistical analysis and related topics with R / |
| title_sort | applied multivariate statistical analysis and related topics with r |
| topic | R (Computer program language) http://id.loc.gov/authorities/subjects/sh2002004407 Statistics Data processing. http://id.loc.gov/authorities/subjects/sh85127583 R (Langage de programmation) Statistique Informatique. MATHEMATICS Probability & Statistics Multivariate Analysis. bisacsh R (Computer program language) fast Statistics Data processing fast |
| topic_facet | R (Computer program language) Statistics Data processing. R (Langage de programmation) Statistique Informatique. MATHEMATICS Probability & Statistics Multivariate Analysis. Statistics Data processing Electronic book. |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2892888 |
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