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The Seven Pillars of Statistical Wisdom / Stephen M. Stigler.

By: Material type: TextTextPublisher: Cambridge, MA : Harvard University Press, [2016]Copyright date: ©2016Description: 1 online resource (240 p.) : 9 halftones, 51 line illustrations, 2 tablesContent type:
Media type:
Carrier type:
ISBN:
  • 9780674970199
Subject(s): DDC classification:
  • 519.5 23
LOC classification:
  • QA276.15 .S754 2016
Other classification:
  • online - DeGruyter
Online resources:
Contents:
Frontmatter -- Contents -- Introduction -- Chapter 1. Aggregation -- Chapter 2. Information -- Chapter 3. Likelihood -- Chapter 4. Intercomparison -- Chapter 5. Regression -- Chapter 6. Design -- Chapter 7. Residual -- Conclusion -- Notes -- References -- Acknowledgments -- Index
Summary: What gives statistics its unity as a science? Stephen Stigler sets forth the seven foundational ideas of statistics—a scientific discipline related to but distinct from mathematics and computer science and one which often seems counterintuitive. His original account will fascinate the interested layperson and engage the professional statistician.
Holdings
Item type Current library Call number URL Status Notes Barcode
eBook eBook Biblioteca "Angelicum" Pont. Univ. S.Tommaso d'Aquino Nuvola online online - DeGruyter (Browse shelf(Opens below)) Online access Not for loan (Accesso limitato) Accesso per gli utenti autorizzati / Access for authorized users (dgr)9780674970199

Frontmatter -- Contents -- Introduction -- Chapter 1. Aggregation -- Chapter 2. Information -- Chapter 3. Likelihood -- Chapter 4. Intercomparison -- Chapter 5. Regression -- Chapter 6. Design -- Chapter 7. Residual -- Conclusion -- Notes -- References -- Acknowledgments -- Index

restricted access online access with authorization star

http://purl.org/coar/access_right/c_16ec

What gives statistics its unity as a science? Stephen Stigler sets forth the seven foundational ideas of statistics—a scientific discipline related to but distinct from mathematics and computer science and one which often seems counterintuitive. His original account will fascinate the interested layperson and engage the professional statistician.

Mode of access: Internet via World Wide Web.

In English.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Dez 2022)