The Seven Pillars of Statistical Wisdom - Brossura

Stigler, Stephen M.

Brossura

ISBN 10: 0674088913 ISBN 13: 9780674088917

Casa editrice: Harvard Univ Pr, 2016

Riassunto

<p>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.<br><br>Even the most basic idea—<i>aggregation</i>, exemplified by averaging—is counterintuitive. It allows one to gain information by discarding information, namely, the individuality of the observations. Stigler’s second pillar, <i>information measurement, </i>challenges the importance of “big data” by noting that observations are not all equally important: the amount of information in a data set is often proportional to only the square root of the number of observations, not the absolute number. The third idea is <i>likelihood</i>, the calibration of inferences with the use of probability. <i>Intercomparison</i> is the principle that statistical comparisons do not need to be made with respect to an external standard. The fifth pillar is <i>regression</i>, both a paradox (tall parents on average produce shorter children; tall children on average have shorter parents) and the basis of inference, including Bayesian inference and causal reasoning. The sixth concept captures the importance of <i>experimental design</i>—for example, by recognizing the gains to be had from a combinatorial approach with rigorous randomization. The seventh idea is the <i>residual</i>: the notion that a complicated phenomenon can be simplified by subtracting the effect of known causes, leaving a residual phenomenon that can be explained more easily.<br><br><i>The Seven Pillars of Statistical Wisdom</i> presents an original, unified account of statistical science that will fascinate the interested layperson and engage the professional statistician.</p>

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Informazioni sull'autore

Stephen M. Stigler is Ernest DeWitt Burton Distinguished Service Professor in the Department of Statistics at the University of Chicago.

Dettagli dell'edizione

• Editore: Harvard Univ Pr
• Data di pubblicazione: 2016
• Lingua: Inglese
• ISBN 10: 0674088913
• ISBN 13: 9780674088917
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 230
• Contatto del produttore: non disponibile
• Persona responsabile: Walter de Gruyter GmbH; productsafety@degruyterbrill.com; ; Genthiner Straße 13; Berlin; 10785; Germania