The Seven Pillars of Statistical Wisdom

Stigler, Stephen M.

ISBN 10: 0674088913 / ISBN 13: 9780674088917

Editore: Harvard University Press, 2016

Book is considered to be in good or better condition. The actual cover image may not match the stock photo. Hard cover books may show signs of wear on the spine, cover or dust jacket. Paperback book may show signs of wear on spine or cover as well as having a slight bend, curve or creasing to it. Book should have minimal to no writing inside and no highlighting. Pages should be free of tears or creasing. Stickers should not be present on cover or elsewhere, and any CD or DVD expected with the book is included. Book is not a former library copy. Codice articolo SEWV.0674088913.G

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>

Informazioni sull'autore: Stephen M. Stigler is Ernest DeWitt Burton Distinguished Service Professor in the Department of Statistics at the University of Chicago.

Dati bibliografici

Titolo: The Seven Pillars of Statistical Wisdom
Casa editrice: Harvard University Press
Data di pubblicazione: 2016
Legatura: Brossura
Condizione: good