{"product_id":"the-seven-pillars-of-statistical-wisdom-9780674088917","title":"The Seven Pillars of Statistical Wisdom","description":"\u003cp\u003eWhat 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. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eEven the most basic idea--\u003ci\u003eaggregation\u003c\/i\u003e, exemplified by averaging--is counterintuitive. It allows one to gain information by discarding information, namely, the individuality of the observations. Stigler's second pillar, \u003ci\u003einformation measurement, \u003c\/i\u003echallenges 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 \u003ci\u003elikelihood\u003c\/i\u003e, the calibration of inferences with the use of probability. \u003ci\u003eIntercomparison\u003c\/i\u003e is the principle that statistical comparisons do not need to be made with respect to an external standard. The fifth pillar is \u003ci\u003eregression\u003c\/i\u003e, 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 \u003ci\u003eexperimental design\u003c\/i\u003e--for example, by recognizing the gains to be had from a combinatorial approach with rigorous randomization. The seventh idea is the \u003ci\u003eresidual\u003c\/i\u003e: 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. \u003cp\u003e\u003c\/p\u003e\u003ci\u003eThe Seven Pillars of Statistical Wisdom\u003c\/i\u003e presents an original, unified account of statistical science that will fascinate the interested layperson and engage the professional statistician.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cb\u003e\u003ci\u003eStigler, Stephen M.:\u003c\/i\u003e\u003c\/b\u003e - Stephen M. Stigler is Ernest DeWitt Burton Distinguished Service Professor in the Department of Statistics at the University of Chicago.","brand":"Harvard University Press","offers":[{"title":"Default Title","offer_id":50527160566034,"sku":"9780674088917","price":19.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_8970576f-d665-4d1e-86c2-7598e8613dd0.jpg?v=1731292998","url":"https:\/\/surprise-castle.myshopify.com\/products\/the-seven-pillars-of-statistical-wisdom-9780674088917","provider":"Surprise Castle","version":"1.0","type":"link"}