Regression Analysis with R :: Design and develop statistical nodes to identify unique relationships within data at scale.
Regression analysis is a statistical process which enables prediction of relationships between variables. This book will give you a rundown explaining what regression analysis is, explaining you the process from scratch. Each chapter starts with explaining the theoretical concepts and once the reade...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham :
Packt Publishing,
2018.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Regression analysis is a statistical process which enables prediction of relationships between variables. This book will give you a rundown explaining what regression analysis is, explaining you the process from scratch. Each chapter starts with explaining the theoretical concepts and once the reader gets comfortable with the theory, we move ... |
| Beschreibung: | 1 online resource (416 pages) |
| ISBN: | 9781788622707 1788622707 178862730X 9781788627306 |
Internformat
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| 505 | 0 | |a Table of Contents Getting Started with Regression Basic Concepts -- Simple Linear Regression More Than Just One Predictor -- MLR Logistic Regression Data preparation Avoiding Overfitting Problems -- Achieving Generalization Going Further with Regression Models Beyond Linearity -- When Curving Is Much Better Regression Analysis in Practice. | |
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| _version_ | 1816882412968214528 |
| adam_text | |
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| author | Ciaburro, Giuseppe |
| author_facet | Ciaburro, Giuseppe |
| author_role | |
| author_sort | Ciaburro, Giuseppe |
| author_variant | g c gc |
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| bvnumber | localFWS |
| callnumber-first | Q - Science |
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| callnumber-sort | QA 3276.45 R3 C533 42018 |
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| collection | ZDB-4-EBA |
| contents | Table of Contents Getting Started with Regression Basic Concepts -- Simple Linear Regression More Than Just One Predictor -- MLR Logistic Regression Data preparation Avoiding Overfitting Problems -- Achieving Generalization Going Further with Regression Models Beyond Linearity -- When Curving Is Much Better Regression Analysis in Practice. |
| ctrlnum | (OCoLC)1022783114 |
| dewey-full | 519.502855133 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.502855133 |
| dewey-search | 519.502855133 |
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| discipline | Mathematik |
| format | Electronic eBook |
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| id | ZDB-4-EBA-on1022783114 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-27T13:28:13Z |
| institution | BVB |
| isbn | 9781788622707 1788622707 178862730X 9781788627306 |
| language | English |
| oclc_num | 1022783114 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (416 pages) |
| psigel | ZDB-4-EBA |
| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | Packt Publishing, |
| record_format | marc |
| spelling | Ciaburro, Giuseppe. Regression Analysis with R : Design and develop statistical nodes to identify unique relationships within data at scale. Birmingham : Packt Publishing, 2018. 1 online resource (416 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Print version record. Regression analysis is a statistical process which enables prediction of relationships between variables. This book will give you a rundown explaining what regression analysis is, explaining you the process from scratch. Each chapter starts with explaining the theoretical concepts and once the reader gets comfortable with the theory, we move ... Table of Contents Getting Started with Regression Basic Concepts -- Simple Linear Regression More Than Just One Predictor -- MLR Logistic Regression Data preparation Avoiding Overfitting Problems -- Achieving Generalization Going Further with Regression Models Beyond Linearity -- When Curving Is Much Better Regression Analysis in Practice. R. Regression analysis. http://id.loc.gov/authorities/subjects/sh85112392 Analyse de régression. Data capture & analysis. bicssc Information visualization. bicssc Information architecture. bicssc Database design & theory. bicssc Computers Data Processing. bisacsh Computers Data Modeling & Design. bisacsh MATHEMATICS Applied. bisacsh MATHEMATICS Probability & Statistics General. bisacsh Regression analysis fast has work: Regression analysis with R (Text) https://id.oclc.org/worldcat/entity/E39PCGyYkybpcjvgV8QPBq8CpP https://id.oclc.org/worldcat/ontology/hasWork Print version: Ciaburro, Giuseppe. Regression Analysis with R : Design and develop statistical nodes to identify unique relationships within data at scale. Birmingham : Packt Publishing, ©2018 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1703784 Volltext |
| spellingShingle | Ciaburro, Giuseppe Regression Analysis with R : Design and develop statistical nodes to identify unique relationships within data at scale. Table of Contents Getting Started with Regression Basic Concepts -- Simple Linear Regression More Than Just One Predictor -- MLR Logistic Regression Data preparation Avoiding Overfitting Problems -- Achieving Generalization Going Further with Regression Models Beyond Linearity -- When Curving Is Much Better Regression Analysis in Practice. R. Regression analysis. http://id.loc.gov/authorities/subjects/sh85112392 Analyse de régression. Data capture & analysis. bicssc Information visualization. bicssc Information architecture. bicssc Database design & theory. bicssc Computers Data Processing. bisacsh Computers Data Modeling & Design. bisacsh MATHEMATICS Applied. bisacsh MATHEMATICS Probability & Statistics General. bisacsh Regression analysis fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85112392 |
| title | Regression Analysis with R : Design and develop statistical nodes to identify unique relationships within data at scale. |
| title_auth | Regression Analysis with R : Design and develop statistical nodes to identify unique relationships within data at scale. |
| title_exact_search | Regression Analysis with R : Design and develop statistical nodes to identify unique relationships within data at scale. |
| title_full | Regression Analysis with R : Design and develop statistical nodes to identify unique relationships within data at scale. |
| title_fullStr | Regression Analysis with R : Design and develop statistical nodes to identify unique relationships within data at scale. |
| title_full_unstemmed | Regression Analysis with R : Design and develop statistical nodes to identify unique relationships within data at scale. |
| title_short | Regression Analysis with R : |
| title_sort | regression analysis with r design and develop statistical nodes to identify unique relationships within data at scale |
| title_sub | Design and develop statistical nodes to identify unique relationships within data at scale. |
| topic | R. Regression analysis. http://id.loc.gov/authorities/subjects/sh85112392 Analyse de régression. Data capture & analysis. bicssc Information visualization. bicssc Information architecture. bicssc Database design & theory. bicssc Computers Data Processing. bisacsh Computers Data Modeling & Design. bisacsh MATHEMATICS Applied. bisacsh MATHEMATICS Probability & Statistics General. bisacsh Regression analysis fast |
| topic_facet | R. Regression analysis. Analyse de régression. Data capture & analysis. Information visualization. Information architecture. Database design & theory. Computers Data Processing. Computers Data Modeling & Design. MATHEMATICS Applied. MATHEMATICS Probability & Statistics General. Regression analysis |
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| work_keys_str_mv | AT ciaburrogiuseppe regressionanalysiswithrdesignanddevelopstatisticalnodestoidentifyuniquerelationshipswithindataatscale |