Data analysis: what can be learned from the past 50 years
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hoboken, N.J.
Wiley
©2011
|
| Schriftenreihe: | Wiley series in probability and statistics
|
| Schlagworte: | |
| Online-Zugang: | FRO01 UBG01 Volltext |
| Beschreibung: | "This book explores the many provocative questions concerning the fundamentals of data analysis. It is based on the time-tested experience of one of the gurus of the subject matter. Why should one study data analysis? How should it be taught? What techniques work best, and for whom? How valid are the results? How much data should be tested? Which machine languages should be used, if used at all? Emphasis on apprenticeship (through hands-on case studies) and anecdotes (through real-life applications) are the tools that Peter J. Huber uses in this volume. Concern with specific statistical techniques is not of immediate value; rather, questions of strategy - when to use which technique - are employed. Central to the discussion is an understanding of the significance of massive (or robust) data sets, the implementation of languages, and the use of models. Each is sprinkled with an ample number of examples and case studies. Personal practices, various pitfalls, and existing controversies are presented when applicable. The book serves as an excellent philosophical and historical companion to any present-day text in data analysis, robust statistics, data mining, statistical learning, or computational statistics"--Provided by publisher "This book explores the many provocative questions concerning the fundamentals of data analysis"-- Includes bibliographical references and index |
| Beschreibung: | 1 Online-Ressource (xiv, 210 pages) |
| ISBN: | 9781118018248 1118018249 9781118018262 1118018265 9781118018255 1118018257 128310931X 9781283109314 |
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Datensatz im Suchindex
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| author | Huber, Peter J. 1934- |
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| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.509 |
| dewey-search | 519.509 |
| dewey-sort | 3519.509 |
| dewey-tens | 510 - Mathematics |
| discipline | Informatik Mathematik |
| era | Geschichte gnd |
| era_facet | Geschichte |
| format | Electronic eBook |
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| spelling | Huber, Peter J. 1934- Verfasser (DE-588)112055745 aut Data analysis what can be learned from the past 50 years Peter J. Huber Hoboken, N.J. Wiley ©2011 1 Online-Ressource (xiv, 210 pages) txt rdacontent c rdamedia cr rdacarrier Wiley series in probability and statistics "This book explores the many provocative questions concerning the fundamentals of data analysis. It is based on the time-tested experience of one of the gurus of the subject matter. Why should one study data analysis? How should it be taught? What techniques work best, and for whom? How valid are the results? How much data should be tested? Which machine languages should be used, if used at all? Emphasis on apprenticeship (through hands-on case studies) and anecdotes (through real-life applications) are the tools that Peter J. Huber uses in this volume. Concern with specific statistical techniques is not of immediate value; rather, questions of strategy - when to use which technique - are employed. Central to the discussion is an understanding of the significance of massive (or robust) data sets, the implementation of languages, and the use of models. Each is sprinkled with an ample number of examples and case studies. Personal practices, various pitfalls, and existing controversies are presented when applicable. The book serves as an excellent philosophical and historical companion to any present-day text in data analysis, robust statistics, data mining, statistical learning, or computational statistics"--Provided by publisher "This book explores the many provocative questions concerning the fundamentals of data analysis"-- Includes bibliographical references and index Geschichte gnd rswk-swf Mathematical statistics / History Mathematical statistics / Philosophy Numerical analysis / Methodology MATHEMATICS / Probability & Statistics / General bisacsh Geschichte Philosophie Philosophie (DE-588)4045791-6 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Datenanalyse (DE-588)4123037-1 s Geschichte z 1\p DE-604 Philosophie (DE-588)4045791-6 s 2\p DE-604 Erscheint auch als Druck-Ausgabe, Hardcover 978-1-118-01064-8 Erscheint auch als Druck-Ausgabe, Hardcover 1-118-01064-7 https://onlinelibrary.wiley.com/doi/book/10.1002/9781118018255 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Huber, Peter J. 1934- Data analysis what can be learned from the past 50 years Mathematical statistics / History Mathematical statistics / Philosophy Numerical analysis / Methodology MATHEMATICS / Probability & Statistics / General bisacsh Geschichte Philosophie Philosophie (DE-588)4045791-6 gnd Datenanalyse (DE-588)4123037-1 gnd |
| subject_GND | (DE-588)4045791-6 (DE-588)4123037-1 |
| title | Data analysis what can be learned from the past 50 years |
| title_auth | Data analysis what can be learned from the past 50 years |
| title_exact_search | Data analysis what can be learned from the past 50 years |
| title_full | Data analysis what can be learned from the past 50 years Peter J. Huber |
| title_fullStr | Data analysis what can be learned from the past 50 years Peter J. Huber |
| title_full_unstemmed | Data analysis what can be learned from the past 50 years Peter J. Huber |
| title_short | Data analysis |
| title_sort | data analysis what can be learned from the past 50 years |
| title_sub | what can be learned from the past 50 years |
| topic | Mathematical statistics / History Mathematical statistics / Philosophy Numerical analysis / Methodology MATHEMATICS / Probability & Statistics / General bisacsh Geschichte Philosophie Philosophie (DE-588)4045791-6 gnd Datenanalyse (DE-588)4123037-1 gnd |
| topic_facet | Mathematical statistics / History Mathematical statistics / Philosophy Numerical analysis / Methodology MATHEMATICS / Probability & Statistics / General Geschichte Philosophie Datenanalyse |
| url | https://onlinelibrary.wiley.com/doi/book/10.1002/9781118018255 |
| work_keys_str_mv | AT huberpeterj dataanalysiswhatcanbelearnedfromthepast50years |