Regression analysis: a practical introduction
"With the rise of "big data", there is an increasing demand to learn the skills needed to undertake sound quantitative analysis without requiring students to spend too much time on high-level math and proofs. This book provides an efficient alternative approach, with more time devoted...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Abingdon, Oxon
Routledge
2019
|
| Schlagworte: | |
| Online-Zugang: | UEI01 Volltext |
| Zusammenfassung: | "With the rise of "big data", there is an increasing demand to learn the skills needed to undertake sound quantitative analysis without requiring students to spend too much time on high-level math and proofs. This book provides an efficient alternative approach, with more time devoted to the practical aspects of regression analysis and how to recognise the most common pitfalls. By doing so, the book will better prepare readers for conducting, interpreting, and assessing regression analyses, while simultaneously making the material simpler and more enjoyable to learn. Logical and practical in approach, Regression Analysis teaches: (1) the tools for conducting regressions; (2) the concepts needed to design optimal regression models (based on avoiding the pitfalls); and (3) the proper interpretations of regressions. Furthermore, this book emphasizes honesty in research, with a prevalent lesson being that statistical significance is not the goal of research. This book is an ideal introduction to regression analysis for anyone learning quantitative methods in the social sciences, business, medicine, and data analytics. It will also appeal to researchers and academics looking to better understand what regressions do, what their limitations are, and what they can tell us. This will be the most engaging book on regression analysis (or Econometrics) you will ever read!"-- |
| Beschreibung: | 1 online resource (xx, 342 pages) |
| ISBN: | 9781351011099 135101109X 9781351011075 1351011073 9781351011082 1351011081 9781351011068 1351011065 |
| DOI: | 10.4324/9781351011099 |
Internformat
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV047014300 | ||
| 003 | DE-604 | ||
| 005 | 20210709 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 201118s2019 |||| o||u| ||||||eng d | ||
| 020 | |a 9781351011099 |9 978-1-351-01109-9 | ||
| 020 | |a 135101109X |9 1-351-01109-X | ||
| 020 | |a 9781351011075 |9 978-1-351-01107-5 | ||
| 020 | |a 1351011073 |9 1-351-01107-3 | ||
| 020 | |a 9781351011082 |9 978-1-351-01108-2 | ||
| 020 | |a 1351011081 |9 1-351-01108-1 | ||
| 020 | |a 9781351011068 |9 978-1-351-01106-8 | ||
| 020 | |a 1351011065 |9 1-351-01106-5 | ||
| 024 | 7 | |a 10.4324/9781351011099 |2 doi | |
| 035 | |a (ZDB-7-TFC)9781351011099 | ||
| 035 | |a (OCoLC)1260144552 | ||
| 035 | |a (DE-599)BVBBV047014300 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-824 | ||
| 082 | 0 | |a 519.5/36 |2 23 | |
| 100 | 1 | |a Arkes, Jeremy |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Regression analysis |b a practical introduction |c Jeremy Arkes |
| 264 | 1 | |a Abingdon, Oxon |b Routledge |c 2019 | |
| 264 | 4 | |c © 2019 | |
| 300 | |a 1 online resource (xx, 342 pages) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 520 | |a "With the rise of "big data", there is an increasing demand to learn the skills needed to undertake sound quantitative analysis without requiring students to spend too much time on high-level math and proofs. This book provides an efficient alternative approach, with more time devoted to the practical aspects of regression analysis and how to recognise the most common pitfalls. By doing so, the book will better prepare readers for conducting, interpreting, and assessing regression analyses, while simultaneously making the material simpler and more enjoyable to learn. Logical and practical in approach, Regression Analysis teaches: (1) the tools for conducting regressions; (2) the concepts needed to design optimal regression models (based on avoiding the pitfalls); and (3) the proper interpretations of regressions. Furthermore, this book emphasizes honesty in research, with a prevalent lesson being that statistical significance is not the goal of research. This book is an ideal introduction to regression analysis for anyone learning quantitative methods in the social sciences, business, medicine, and data analytics. It will also appeal to researchers and academics looking to better understand what regressions do, what their limitations are, and what they can tell us. This will be the most engaging book on regression analysis (or Econometrics) you will ever read!"-- | ||
| 650 | 4 | |a Regression analysis | |
| 856 | 4 | 0 | |u https://doi.org/10.4324/9781351011099 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-7-TFC | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-032421837 | ||
| 966 | e | |u https://doi.org/10.4324/9781351011099 |l UEI01 |p ZDB-7-TFC |q UEI_PDA_TFC_Kauf |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804181973572255744 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Arkes, Jeremy |
| author_facet | Arkes, Jeremy |
| author_role | aut |
| author_sort | Arkes, Jeremy |
| author_variant | j a ja |
| building | Verbundindex |
| bvnumber | BV047014300 |
| collection | ZDB-7-TFC |
| ctrlnum | (ZDB-7-TFC)9781351011099 (OCoLC)1260144552 (DE-599)BVBBV047014300 |
| dewey-full | 519.5/36 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5/36 |
| dewey-search | 519.5/36 |
| dewey-sort | 3519.5 236 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| discipline_str_mv | Mathematik |
| doi_str_mv | 10.4324/9781351011099 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02867nmm a2200445zc 4500</leader><controlfield tag="001">BV047014300</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20210709 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">201118s2019 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781351011099</subfield><subfield code="9">978-1-351-01109-9</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">135101109X</subfield><subfield code="9">1-351-01109-X</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781351011075</subfield><subfield code="9">978-1-351-01107-5</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1351011073</subfield><subfield code="9">1-351-01107-3</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781351011082</subfield><subfield code="9">978-1-351-01108-2</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1351011081</subfield><subfield code="9">1-351-01108-1</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781351011068</subfield><subfield code="9">978-1-351-01106-8</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1351011065</subfield><subfield code="9">1-351-01106-5</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.4324/9781351011099</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-7-TFC)9781351011099</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1260144552</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047014300</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-824</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">519.5/36</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Arkes, Jeremy</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Regression analysis</subfield><subfield code="b">a practical introduction</subfield><subfield code="c">Jeremy Arkes</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Abingdon, Oxon</subfield><subfield code="b">Routledge</subfield><subfield code="c">2019</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">© 2019</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (xx, 342 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">"With the rise of "big data", there is an increasing demand to learn the skills needed to undertake sound quantitative analysis without requiring students to spend too much time on high-level math and proofs. This book provides an efficient alternative approach, with more time devoted to the practical aspects of regression analysis and how to recognise the most common pitfalls. By doing so, the book will better prepare readers for conducting, interpreting, and assessing regression analyses, while simultaneously making the material simpler and more enjoyable to learn. Logical and practical in approach, Regression Analysis teaches: (1) the tools for conducting regressions; (2) the concepts needed to design optimal regression models (based on avoiding the pitfalls); and (3) the proper interpretations of regressions. Furthermore, this book emphasizes honesty in research, with a prevalent lesson being that statistical significance is not the goal of research. This book is an ideal introduction to regression analysis for anyone learning quantitative methods in the social sciences, business, medicine, and data analytics. It will also appeal to researchers and academics looking to better understand what regressions do, what their limitations are, and what they can tell us. This will be the most engaging book on regression analysis (or Econometrics) you will ever read!"--</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Regression analysis</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.4324/9781351011099</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-7-TFC</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032421837</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.4324/9781351011099</subfield><subfield code="l">UEI01</subfield><subfield code="p">ZDB-7-TFC</subfield><subfield code="q">UEI_PDA_TFC_Kauf</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV047014300 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T15:58:14Z |
| indexdate | 2024-07-10T09:00:10Z |
| institution | BVB |
| isbn | 9781351011099 135101109X 9781351011075 1351011073 9781351011082 1351011081 9781351011068 1351011065 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032421837 |
| oclc_num | 1260144552 |
| open_access_boolean | |
| owner | DE-824 |
| owner_facet | DE-824 |
| physical | 1 online resource (xx, 342 pages) |
| psigel | ZDB-7-TFC ZDB-7-TFC UEI_PDA_TFC_Kauf |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | Routledge |
| record_format | marc |
| spelling | Arkes, Jeremy Verfasser aut Regression analysis a practical introduction Jeremy Arkes Abingdon, Oxon Routledge 2019 © 2019 1 online resource (xx, 342 pages) txt rdacontent c rdamedia cr rdacarrier "With the rise of "big data", there is an increasing demand to learn the skills needed to undertake sound quantitative analysis without requiring students to spend too much time on high-level math and proofs. This book provides an efficient alternative approach, with more time devoted to the practical aspects of regression analysis and how to recognise the most common pitfalls. By doing so, the book will better prepare readers for conducting, interpreting, and assessing regression analyses, while simultaneously making the material simpler and more enjoyable to learn. Logical and practical in approach, Regression Analysis teaches: (1) the tools for conducting regressions; (2) the concepts needed to design optimal regression models (based on avoiding the pitfalls); and (3) the proper interpretations of regressions. Furthermore, this book emphasizes honesty in research, with a prevalent lesson being that statistical significance is not the goal of research. This book is an ideal introduction to regression analysis for anyone learning quantitative methods in the social sciences, business, medicine, and data analytics. It will also appeal to researchers and academics looking to better understand what regressions do, what their limitations are, and what they can tell us. This will be the most engaging book on regression analysis (or Econometrics) you will ever read!"-- Regression analysis https://doi.org/10.4324/9781351011099 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Arkes, Jeremy Regression analysis a practical introduction Regression analysis |
| title | Regression analysis a practical introduction |
| title_auth | Regression analysis a practical introduction |
| title_exact_search | Regression analysis a practical introduction |
| title_exact_search_txtP | Regression analysis a practical introduction |
| title_full | Regression analysis a practical introduction Jeremy Arkes |
| title_fullStr | Regression analysis a practical introduction Jeremy Arkes |
| title_full_unstemmed | Regression analysis a practical introduction Jeremy Arkes |
| title_short | Regression analysis |
| title_sort | regression analysis a practical introduction |
| title_sub | a practical introduction |
| topic | Regression analysis |
| topic_facet | Regression analysis |
| url | https://doi.org/10.4324/9781351011099 |
| work_keys_str_mv | AT arkesjeremy regressionanalysisapracticalintroduction |