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The Seven Pillars of Statistical Wisdom

Nonfiction,Stephen M. Stigler

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The Seven Pillars of Statistical Wisdom Télécharger PDF gratuit Livre (PDF, EPUB, KINDLE)

de Stephen M. Stigler

4.4 étoiles sur 5 de 64 Commentaires client

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Broché : 240 pages
Auteur : Stephen M. Stigler
Collection : Nonfiction
ISBN-10 : 0674088913
Date de Publication : 2016-03-04
Le Titre Du Livre : The Seven Pillars of Statistical Wisdom
Moyenne des commentaires client : 4.4 étoiles sur 5 64 commentaires client
Nom de fichier : the-seven-pillars-of-statistical-wisdom.pdf
La taille du fichier : 24.55 MB

The Seven Pillars of Statistical Wisdom a été écrit par Stephen M. Stigler qui connu comme un auteur et ont écrit beaucoup de livres intéressants avec une grande narration. The Seven Pillars of Statistical Wisdom a été l'un des livres de populer sur 2016. Il contient 240 pages et disponible sur format . Ce livre a été très surpris en raison de sa note rating et a obtenu environ avis des utilisateurs. Donc, après avoir terminé la lecture de ce livre, je recommande aux lecteurs de ne pas sous-estimer ce grand livre. Vous devez prendre The Seven Pillars of Statistical Wisdom que votre liste de lecture ou vous serez regretter parce que vous ne l'avez pas lu encore dans votre vie.Rang parmi les ventes Amazon: #83462 dans LivresPublié le: 2016-03-04Langue d'origine: AnglaisNombre d'articles: 1Dimensions: 6.90" h x .80" l x 5.40" L, .0 livres Reliure: Broché240 pagesRevue de presse"Statistics has a core set of ideas that touch every aspect of our lives. Stigler has tapped into these and brought them to life." --Persi Diaconis, Stanford UniversityPrésentation de l'éditeurWhat 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.Even the most basic idea aggregation, exemplified by averaging is counterintuitive. It allows one to gain information by discarding information, namely, the individuality of the observations. Stigler s second pillar, information measurement 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 likelihood the calibration of inferences with the use of probability. Intercomparison is the principle that statistical comparisons do not need to be made with respect to an external standard. The fifth pillar is regression 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 experimental design for example, by recognising the gains to be had from a combinatorial approach with rigorous randomisation. The seventh idea is the residual 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.The Seven Pillars of Statistical Wisdom presents an original, unified account of statistical science that will fascinate the interested layperson and engage the professional statistician."Biographie de l'auteurStephen M. Stigler is Ernest DeWitt Burton Distinguished Service Professor in the Department of Statistics at the University of Chicago.
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