The Seven Pillars of Statistical Wisdom.

Format:

Book

Author/Creator:

Stigler, Stephen M.

Language:

English

Subjects (All):

Mathematical statistics.

Statistics.

Physical Description:

1 online resource (142 p.)

Edition:

1st ed.

Place of Publication:

Cambridge : Harvard University Press, 2016.

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: 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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9780674970212

0674970217

OCLC:

1583178522