Predictive analytics for business strategy:: reasoning from data to actionable knowledge
Reasoning with data -- Reasoning from sample to population -- The scientific method : the gold standard for establishing causality -- Linear regression as a fundamental descriptive tool -- Correlation vs. causality in regression analysis -- Basic methods for establishing causal inference -- Advanced...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
McGraw-Hill Education
[2019]
|
| Ausgabe: | international student edition |
| Schriftenreihe: | McGraw-Hill series economics
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Zusammenfassung: | Reasoning with data -- Reasoning from sample to population -- The scientific method : the gold standard for establishing causality -- Linear regression as a fundamental descriptive tool -- Correlation vs. causality in regression analysis -- Basic methods for establishing causal inference -- Advanced methods for establishing causal inference -- Prediction for a dichotomous variable -- Identification and data assessment -- Applications data analysis critiques, write-ups, and projects -- Glossary |
| Beschreibung: | Includes index, this international student edition is for use outside of the U.S. |
| Beschreibung: | xviii, 348 Seiten Illustrationen, Diagramme 24 cm |
| ISBN: | 1260084647 9781260084641 |
Internformat
MARC
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Datensatz im Suchindex
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| author_GND | (DE-588)131885871 |
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| building | Verbundindex |
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| callnumber-first | H - Social Science |
| callnumber-label | H62 |
| callnumber-raw | H62 |
| callnumber-search | H62 |
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| callnumber-subject | H - Social Science |
| classification_rvk | QP 320 QR 343 |
| ctrlnum | (OCoLC)1113256554 (DE-599)GBV1010670190 |
| dewey-full | 658.4/012 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.4/012 |
| dewey-search | 658.4/012 |
| dewey-sort | 3658.4 212 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| edition | international student edition |
| format | Book |
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| id | DE-604.BV046063418 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:34:14Z |
| institution | BVB |
| isbn | 1260084647 9781260084641 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031444719 |
| oclc_num | 1113256554 |
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| physical | xviii, 348 Seiten Illustrationen, Diagramme 24 cm |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | McGraw-Hill Education |
| record_format | marc |
| series2 | McGraw-Hill series economics |
| spelling | Prince, Jeff Verfasser (DE-588)131885871 aut Predictive analytics for business strategy: reasoning from data to actionable knowledge Jeffrey T. Prince, Professor of Business Economics & Public Policy, Harold A. Poling Chair in Strategic Management, Kelley School of Business, Indiana University international student edition New York, NY McGraw-Hill Education [2019] © 2019 xviii, 348 Seiten Illustrationen, Diagramme 24 cm txt rdacontent n rdamedia nc rdacarrier McGraw-Hill series economics Includes index, this international student edition is for use outside of the U.S. Reasoning with data -- Reasoning from sample to population -- The scientific method : the gold standard for establishing causality -- Linear regression as a fundamental descriptive tool -- Correlation vs. causality in regression analysis -- Basic methods for establishing causal inference -- Advanced methods for establishing causal inference -- Prediction for a dichotomous variable -- Identification and data assessment -- Applications data analysis critiques, write-ups, and projects -- Glossary Strategisches Management / (DE-627)091393116 / (DE-STW)18029-0 Daten / (DE-627)670295213 / (DE-STW)29081-1 Prognoseverfahren / (DE-627)091384680 / (DE-STW)15072-0 DE-601 application/pdf http://www.gbv.de/dms/zbw/1010670190.pdf 2018-11-26 Inhaltsverzeichnis |
| spellingShingle | Prince, Jeff Predictive analytics for business strategy: reasoning from data to actionable knowledge |
| title | Predictive analytics for business strategy: reasoning from data to actionable knowledge |
| title_auth | Predictive analytics for business strategy: reasoning from data to actionable knowledge |
| title_exact_search | Predictive analytics for business strategy: reasoning from data to actionable knowledge |
| title_full | Predictive analytics for business strategy: reasoning from data to actionable knowledge Jeffrey T. Prince, Professor of Business Economics & Public Policy, Harold A. Poling Chair in Strategic Management, Kelley School of Business, Indiana University |
| title_fullStr | Predictive analytics for business strategy: reasoning from data to actionable knowledge Jeffrey T. Prince, Professor of Business Economics & Public Policy, Harold A. Poling Chair in Strategic Management, Kelley School of Business, Indiana University |
| title_full_unstemmed | Predictive analytics for business strategy: reasoning from data to actionable knowledge Jeffrey T. Prince, Professor of Business Economics & Public Policy, Harold A. Poling Chair in Strategic Management, Kelley School of Business, Indiana University |
| title_short | Predictive analytics for business strategy: |
| title_sort | predictive analytics for business strategy reasoning from data to actionable knowledge |
| title_sub | reasoning from data to actionable knowledge |
| url | http://www.gbv.de/dms/zbw/1010670190.pdf |
| work_keys_str_mv | AT princejeff predictiveanalyticsforbusinessstrategyreasoningfromdatatoactionableknowledge |