Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cary, NC
SAS Institute
2023
|
| Ausgabe: | [First edition]. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781951684006/?ar |
| Zusammenfassung: | Building Regression Models with SAS: A Guide for Data Scientists teaches data scientists, statisticians, and other analysts who use SAS to train regression models for prediction with large, complex data. Each chapter focuses on a particular model and includes a high-level overview, followed by basic concepts, essential syntax, and examples using new procedures in both SAS/STAT and SAS Viya. Building Regression Models with SAS is an essential guide to learning about a variety of models that provide interpretability as well as predictive performance. |
| Beschreibung: | Includes bibliographical references and index |
| Umfang: | 1 online resource (464 pages) |
| ISBN: | 9781951684006 1951684001 1635261902 9781635261905 |
Internformat
MARC
| LEADER | 00000cam a22000002c 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-094102481 | ||
| 003 | DE-627-1 | ||
| 005 | 20240228122004.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 230802s2023 xx |||||o 00| ||eng c | ||
| 020 | |a 9781951684006 |c electronic bk. |9 978-1-951684-00-6 | ||
| 020 | |a 1951684001 |c electronic bk. |9 1-951684-00-1 | ||
| 020 | |a 1635261902 |c electronic bk. |9 1-63526-190-2 | ||
| 020 | |a 9781635261905 |c electronic bk. |9 978-1-63526-190-5 | ||
| 035 | |a (DE-627-1)094102481 | ||
| 035 | |a (DE-599)KEP094102481 | ||
| 035 | |a (ORHE)9781951684006 | ||
| 035 | |a (DE-627-1)094102481 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 082 | 0 | |a 005.5/5 |2 23/eng/20230524 | |
| 100 | 1 | |a Rodriguez, Robert N. |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a Building regression models with SAS |b a guide for data scientists |c Robert N. Rodriguez |
| 250 | |a [First edition]. | ||
| 264 | 1 | |a Cary, NC |b SAS Institute |c 2023 | |
| 300 | |a 1 online resource (464 pages) | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Includes bibliographical references and index | ||
| 520 | |a Building Regression Models with SAS: A Guide for Data Scientists teaches data scientists, statisticians, and other analysts who use SAS to train regression models for prediction with large, complex data. Each chapter focuses on a particular model and includes a high-level overview, followed by basic concepts, essential syntax, and examples using new procedures in both SAS/STAT and SAS Viya. Building Regression Models with SAS is an essential guide to learning about a variety of models that provide interpretability as well as predictive performance. | ||
| 630 | 2 | 0 | |a SAS (Computer file) |
| 650 | 0 | |a Computer programming | |
| 650 | 4 | |a SAS (Computer file) | |
| 650 | 4 | |a Programmation (Informatique) | |
| 650 | 4 | |a computer programming | |
| 650 | 4 | |a Computer programming | |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781951684006/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-30-ORH | ||
| 951 | |a BO | ||
| 912 | |a ZDB-30-ORH | ||
| 049 | |a DE-91 | ||
Datensatz im Suchindex
| DE-BY-TUM_katkey | ZDB-30-ORH-094102481 |
|---|---|
| _version_ | 1833357145282707456 |
| adam_text | |
| any_adam_object | |
| author | Rodriguez, Robert N. |
| author_facet | Rodriguez, Robert N. |
| author_role | aut |
| author_sort | Rodriguez, Robert N. |
| author_variant | r n r rn rnr |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)094102481 (DE-599)KEP094102481 (ORHE)9781951684006 |
| dewey-full | 005.5/5 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.5/5 |
| dewey-search | 005.5/5 |
| dewey-sort | 15.5 15 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| edition | [First edition]. |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02106cam a22004452c 4500</leader><controlfield tag="001">ZDB-30-ORH-094102481</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228122004.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230802s2023 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781951684006</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-1-951684-00-6</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1951684001</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">1-951684-00-1</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1635261902</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">1-63526-190-2</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781635261905</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-1-63526-190-5</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)094102481</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP094102481</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781951684006</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)094102481</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">005.5/5</subfield><subfield code="2">23/eng/20230524</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Rodriguez, Robert N.</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Building regression models with SAS</subfield><subfield code="b">a guide for data scientists</subfield><subfield code="c">Robert N. Rodriguez</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">[First edition].</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cary, NC</subfield><subfield code="b">SAS Institute</subfield><subfield code="c">2023</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (464 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Building Regression Models with SAS: A Guide for Data Scientists teaches data scientists, statisticians, and other analysts who use SAS to train regression models for prediction with large, complex data. Each chapter focuses on a particular model and includes a high-level overview, followed by basic concepts, essential syntax, and examples using new procedures in both SAS/STAT and SAS Viya. Building Regression Models with SAS is an essential guide to learning about a variety of models that provide interpretability as well as predictive performance.</subfield></datafield><datafield tag="630" ind1="2" ind2="0"><subfield code="a">SAS (Computer file)</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Computer programming</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">SAS (Computer file)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Programmation (Informatique)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">computer programming</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer programming</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781951684006/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-30-ORH-094102481 |
| illustrated | Not Illustrated |
| indexdate | 2025-05-28T09:47:02Z |
| institution | BVB |
| isbn | 9781951684006 1951684001 1635261902 9781635261905 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 online resource (464 pages) |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | SAS Institute |
| record_format | marc |
| spelling | Rodriguez, Robert N. VerfasserIn aut Building regression models with SAS a guide for data scientists Robert N. Rodriguez [First edition]. Cary, NC SAS Institute 2023 1 online resource (464 pages) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index Building Regression Models with SAS: A Guide for Data Scientists teaches data scientists, statisticians, and other analysts who use SAS to train regression models for prediction with large, complex data. Each chapter focuses on a particular model and includes a high-level overview, followed by basic concepts, essential syntax, and examples using new procedures in both SAS/STAT and SAS Viya. Building Regression Models with SAS is an essential guide to learning about a variety of models that provide interpretability as well as predictive performance. SAS (Computer file) Computer programming Programmation (Informatique) computer programming |
| spellingShingle | Rodriguez, Robert N. Building regression models with SAS a guide for data scientists SAS (Computer file) Computer programming Programmation (Informatique) computer programming |
| title | Building regression models with SAS a guide for data scientists |
| title_auth | Building regression models with SAS a guide for data scientists |
| title_exact_search | Building regression models with SAS a guide for data scientists |
| title_full | Building regression models with SAS a guide for data scientists Robert N. Rodriguez |
| title_fullStr | Building regression models with SAS a guide for data scientists Robert N. Rodriguez |
| title_full_unstemmed | Building regression models with SAS a guide for data scientists Robert N. Rodriguez |
| title_short | Building regression models with SAS |
| title_sort | building regression models with sas a guide for data scientists |
| title_sub | a guide for data scientists |
| topic | SAS (Computer file) Computer programming Programmation (Informatique) computer programming |
| topic_facet | SAS (Computer file) Computer programming Programmation (Informatique) computer programming |
| work_keys_str_mv | AT rodriguezrobertn buildingregressionmodelswithsasaguidefordatascientists |