The seven pillars of statistical wisdom:
"A summary of the seven most consequential ideas in the history of statistics, ideas that have proven their importance over a century or more and yet still define the basis of statistical science in the present day. Separately each was a radical idea when introduced, and most remain radical tod...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cambridge, Massachusetts ; London, England
Harvard University Press
2016
|
| Ausgabe: | First printing |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Inhaltsverzeichnis |
| Zusammenfassung: | "A summary of the seven most consequential ideas in the history of statistics, ideas that have proven their importance over a century or more and yet still define the basis of statistical science in the present day. Separately each was a radical idea when introduced, and most remain radical today when they are extended to new territory. Together they define statistics as a scientific field in a way that differentiates it from mathematics and computer science, fields which partner with statistics today but also maintain their separate identities. These "pillars" are presented in their historical context, and some flavor of their development and variety of forms is also given in historical context. The framework of these seven is quite different from the usual ways statistical ideas are arranged, such as in most courses on the subject, and thus they give a new way to think about statistics."...Provided by publisher |
| Beschreibung: | Includes bibliographical references (pages 211-223) and index |
| Beschreibung: | 230 Seiten Illustrationen, Diagramme 18 cm |
| ISBN: | 9780674088917 |
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Datensatz im Suchindex
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| adam_text | THE SEVEN PILLARS OF STATISTICAL WISDOM
/ STIGLER, STEPHEN M.YYEAUTHOR
: 2016
TABLE OF CONTENTS / INHALTSVERZEICHNIS
AGGREGATION: FROM TABLES AND MEANS TO LEAST SQUARES
INFORMATION: ITS MEASUREMENT AND RATE OF CHANGE
LIKELIHOOD: CALIBRATION ON A PROBABILITY SCALE
INTERCOMPARISON: WITHIN-SAMPLE VARIATION AS A STANDARD
REGRESSION: MULTIVARIATE ANALYSIS, BAYESIAN INFERENCE, AND CAUSAL
INFERENCE
DESIGN: EXPERIMENTAL PLANNING AND THE ROLE OF RANDOMIZATION
RESIDUAL: SCIENTIFIC LOGIC, MODEL COMPARISON, AND DIAGNOSTIC DISPLAY
DIESES SCHRIFTSTCK WURDE MASCHINELL ERZEUGT.
Titel: The seven pillars of statistical wisdom
Autor: Stigler, Stephen M
Jahr: 2016
CONTENTS
Introduction 1
1 AGGREGATION
2 INFORMATION
3 LIKELIHOOD
4 INTERCOMPARISON
5 REGRESSION
6 DESIGN
7 RESIDUAL
FromTables and Means to Least Squares 13
Its Measurement and Rate of Change 45
Calibration on a Probability Scale 63
Within-Sample Variation as a Standard 87
Multivariate Analysis, Bayesian
Inference, and Causal Inference 107
Experimental Flanning and the
Role of Randomization 149
Scientific Logic, Model Comparison,
and Diagnostic Display 171
Conclusion 195
Notes 205
References 211
Acknowledgments 225
Index 227
|
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| discipline | Mathematik Wirtschaftswissenschaften |
| edition | First printing |
| format | Book |
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| spelling | Stigler, Stephen M. (DE-588)135977789 aut The seven pillars of statistical wisdom Stephen M. Stigler First printing Cambridge, Massachusetts ; London, England Harvard University Press 2016 230 Seiten Illustrationen, Diagramme 18 cm txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references (pages 211-223) and index "A summary of the seven most consequential ideas in the history of statistics, ideas that have proven their importance over a century or more and yet still define the basis of statistical science in the present day. Separately each was a radical idea when introduced, and most remain radical today when they are extended to new territory. Together they define statistics as a scientific field in a way that differentiates it from mathematics and computer science, fields which partner with statistics today but also maintain their separate identities. These "pillars" are presented in their historical context, and some flavor of their development and variety of forms is also given in historical context. The framework of these seven is quite different from the usual ways statistical ideas are arranged, such as in most courses on the subject, and thus they give a new way to think about statistics."...Provided by publisher Geschichte Statistik Statistics History Mathematical statistics History Statistik (DE-588)4056995-0 gnd rswk-swf Statistik (DE-588)4056995-0 s DE-604 LoC Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028903570&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028903570&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Stigler, Stephen M. The seven pillars of statistical wisdom Geschichte Statistik Statistics History Mathematical statistics History Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4056995-0 |
| title | The seven pillars of statistical wisdom |
| title_auth | The seven pillars of statistical wisdom |
| title_exact_search | The seven pillars of statistical wisdom |
| title_full | The seven pillars of statistical wisdom Stephen M. Stigler |
| title_fullStr | The seven pillars of statistical wisdom Stephen M. Stigler |
| title_full_unstemmed | The seven pillars of statistical wisdom Stephen M. Stigler |
| title_short | The seven pillars of statistical wisdom |
| title_sort | the seven pillars of statistical wisdom |
| topic | Geschichte Statistik Statistics History Mathematical statistics History Statistik (DE-588)4056995-0 gnd |
| topic_facet | Geschichte Statistik Statistics History Mathematical statistics History |
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