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Data Analysis: What Can Be Learned From the Past 50 Years
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...
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| Lenguaje: | eng |
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John Wiley & Sons
2011
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| Acceso en línea: | http://cds.cern.ch/record/1488655 |
| _version_ | 1780926302386126848 |
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| author | Huber, Peter J |
| author_facet | Huber, Peter J |
| author_sort | Huber, Peter J |
| collection | CERN |
| description | 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 techniq |
| id | cern-1488655 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2011 |
| publisher | John Wiley & Sons |
| record_format | invenio |
| spelling | cern-14886552021-04-22T00:10:26Zhttp://cds.cern.ch/record/1488655engHuber, Peter JData Analysis: What Can Be Learned From the Past 50 YearsInformation Transfer and ManagementThis 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 techniqJohn Wiley & Sonsoai:cds.cern.ch:14886552011 |
| spellingShingle | Information Transfer and Management Huber, Peter J Data Analysis: What Can Be Learned From the Past 50 Years |
| title | Data Analysis: What Can Be Learned From the Past 50 Years |
| title_full | Data Analysis: What Can Be Learned From the Past 50 Years |
| title_fullStr | Data Analysis: What Can Be Learned From the Past 50 Years |
| title_full_unstemmed | Data Analysis: What Can Be Learned From the Past 50 Years |
| title_short | Data Analysis: What Can Be Learned From the Past 50 Years |
| title_sort | data analysis: what can be learned from the past 50 years |
| topic | Information Transfer and Management |
| url | http://cds.cern.ch/record/1488655 |
| work_keys_str_mv | AT huberpeterj dataanalysiswhatcanbelearnedfromthepast50years |