{"product_id":"a-history-of-parametric-statistical-inference-authoritative","title":"A History of Parametric Statistical Inference - authoritative","description":"\u003cp\u003eIn this review of A History of Parametric Statistical Inference from Bernoulli to Fisher, the bottom line is clear: scholars and advanced students of statistics will find a rigorous, narrative grounding in the development of classical inferential ideas. Anders Hald traces the arc from James Bernoulli through Laplace, Gauss and Fisher, and the book's greatest strength is its depth of historical and mathematical context that illuminates how central results evolved. This is a scholarly review aimed at readers who value precise historical scholarship and technical exposition rather than a light popular history.\u003c\/p\u003e\n\u003ch2\u003eKey Features\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eHistorical scope:\u003c\/strong\u003e Covers the period 1713 to 1935, showing how ideas moved from Bernoulli to Fisher and situating the Fisherian Revolution.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFocused topics:\u003c\/strong\u003e Examines binomial inference, inverse probability and the central limit theorem with attention to original arguments and developments.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePrimary figures:\u003c\/strong\u003e Presents lively biographical sketches of Laplace, Gauss, Edgeworth, Fisher and Karl Pearson to connect theory and personalities.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTechnical detail:\u003c\/strong\u003e Discusses linear minimum variance estimation, error theory, skew distributions and sampling distributions for readers who want mathematical substance.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eContextual analysis:\u003c\/strong\u003e Looks back to DeMoivre, James Bernoulli and Lagrange to show antecedents and influences on later inference.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eWho It's For\u003c\/h2\u003e\n\u003cp\u003eThis book is best for historians of mathematics, graduate students in statistics, and researchers who want a careful, source-based account of how parametric inference developed. It assumes comfort with mathematical ideas and an interest in primary-source reasoning rather than only modern textbook presentations.\u003c\/p\u003e\n\u003cp\u003eThose looking for an introductory, nontechnical overview of statistics or a quick reference for practical data analysis should look elsewhere; this volume is a scholarly history with technical discussion and is not a how-to manual for applied practitioners.\u003c\/p\u003e\n\u003ch2\u003ePros \u0026amp; Cons\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003ePros\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eThorough historical narrative that ties developments to the work of major contributors, offering strong contextual insight.\u003c\/li\u003e\n\u003cli\u003eTechnical treatment of topics like the central limit theorem and linear minimum variance estimation that benefits mathematically prepared readers.\u003c\/li\u003e\n\u003cli\u003eBiographical sketches enliven the historical account and clarify the roles of key figures.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eCons\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eNot written for casual readers or beginners; the technical focus limits its accessibility to nontechnical audiences.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eTitle\u003c\/td\u003e\n\u003ctd\u003eA History of Parametric Statistical Inference from Bernoulli to Fisher, 1713-1935\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAuthor\u003c\/td\u003e\n\u003ctd\u003eAnders Hald\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSubject\u003c\/td\u003e\n\u003ctd\u003eHistory of mathematics and statistical inference\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePeriod covered\u003c\/td\u003e\n\u003ctd\u003e1713 to 1935\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKey topics\u003c\/td\u003e\n\u003ctd\u003eBinomial inference; inverse probability; central limit theorem; error theory; Fisherian Revolution\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNotable figures\u003c\/td\u003e\n\u003ctd\u003eBernoulli, DeMoivre, Laplace, Gauss, Edgeworth, Karl Pearson, R.A. Fisher\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\u003ch2\u003eOur Verdict\u003c\/h2\u003e\n\u003cp\u003eHald's history is a valuable, well-documented resource for anyone studying the intellectual development of parametric inference. Its technical depth and careful attention to primary figures make it good value for graduate students and scholars, while casual readers should expect a demanding, scholarly read rather than a light narrative.\u003c\/p\u003e\n\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eDoes this book cover R.A. Fisher's contributions?\u003c\/strong\u003e\u003cbr\u003eYes. The text examines the Fisherian Revolution and situates Fisher's work alongside predecessors and contemporaries.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eIs this suitable as an introductory statistics text?\u003c\/strong\u003e\u003cbr\u003eNo. The book is a historical and technical study intended for readers with some mathematical background rather than beginners seeking applied instruction.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eAre biographical details included?\u003c\/strong\u003e\u003cbr\u003eYes. Lively sketches of major figures such as Laplace, Gauss, Edgeworth and Karl Pearson are integrated into the historical narrative.\u003c\/p\u003e","brand":"Anders Hald","offers":[{"title":"Default Title","offer_id":48621542539483,"sku":"1441923632","price":69.4,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0724\/1043\/1707\/files\/61lgRxrMk4L._SL1275.jpg?v=1778480615","url":"https:\/\/gearmusthave.com\/products\/a-history-of-parametric-statistical-inference-authoritative","provider":"GearMustHave","version":"1.0","type":"link"}