Item Details
The Seven Pillars of Statistical Wisdom
Stephen M. Stigler
 Format
 Book
 Published
 Cambridge, Massachusetts : Harvard University Press, 2016.
 Language
 English
 Variant Title
 7 pillars of statistical wisdom
 Statistical wisdom
 ISBN
 9780674088917, 0674088913
 Summary
 "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.
 Contents
 Aggregation : from tables and means to least squares
 Information : its measurement and rate of change
 Likelihood : calibration on a probability scale
 Intercomparison : withinsample 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.
 Description
 230 pages : illustrations ; 18 cm
 Notes
 Includes bibliographical references (pages 211223) and index.
 Technical Details

 Access in Virgo Classic
 Staff View
LEADER 02800pam a2200445 i 4500001 u6712436003 SIRSI005 20160323105037.0008 150904t20162016maua b 001 0 eng ca 2015033367a 9780674088917 q (pbk. ;) q (alk. paper)a 0674088913 q (pbk. ;) q (alk. paper)a (OCoLC)921994981a pcca MH/DLC b eng e rda c HLS d DLC d YDXCP d BTCTA d OCLCF d OCLCO d BDX d IBK d OCLCQ d CDXa QA276.15 b .S754 2016a 519.5 2 23a Stigler, Stephen M., e author.a The seven pillars of statistical wisdom / c Stephen M. Stigler.a 7 pillars of statistical wisdoma Statistical wisdoma Cambridge, Massachusetts : b Harvard University Press, c 2016.c ©2016a 230 pages : b illustrations ; c 18 cma text b txt 2 rdacontenta unmediated b n 2 rdamediaa volume b nc 2 rdacarriera Includes bibliographical references (pages 211223) and index.a Aggregation : from tables and means to least squares  Information : its measurement and rate of change  Likelihood : calibration on a probability scale  Intercomparison : withinsample 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.a "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.a Statistics x History.a Mathematical statistics x History.a 5a QA276.15 .S754 2016 w LC i X031730815 k CHECKEDOUT l STACKS m SCIENG t BOOK
Availability
Library  Location  Map  Availability  Call Number 

Brown Science and Engineering  CHECKED OUT  N/A  Unavailable 
QA276.15 .S754 2016 