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This magnificent book is the first comprehensive history of statistics from its beginnings around 1700 to its emergence as a distinct and mature discipline around 1900. Stephen M. Stigler shows how statistics arose from the interplay of mathematical concepts and the needs of several applied sciences including astronomy, geodesy, experimental psychology, genetics, and sociology. He addresses many intriguing questions: How did scientists learn to combine measurements made under different conditions? And how were they led to use probability theory to measure the accuracy of the result? Why were statistical methods used successfully in astronomy long before they began to play a significant role in the social sciences? How could the introduction of least squares predate the discovery of regression by more than eighty years? On what grounds can the major works of men such as Bernoulli, De Moivre, Bayes, Quetelet, and Lexis be considered partial failures, while those of Laplace, Galton, Edgeworth, Pearson, and Yule are counted as successes? How did Galton’s probability machine (the quincunx) provide him with the key to the major advance of the last half of the nineteenth century?
Stigler’s emphasis is upon how, when, and where the methods of probability theory were developed for measuring uncertainty in experimental and observational science, for reducing uncertainty, and as a conceptual framework for quantitative studies in the social sciences. He describes with care the scientific context in which the different methods evolved and identifies the problems (conceptual or mathematical) that retarded the growth of mathematical statistics and the conceptual developments that permitted major breakthroughs.
Statisticians, historians of science, and social and behavioral scientists will gain from this book a deeper understanding of the use of statistical methods and a better grasp of the promise and limitations of such techniques. The product of ten years of research, The History of Statistics will appeal to all who are interested in the humanistic study of science.
About the Author: Stephen M. Stigler is Ernest DeWitt Burton Distinguished Service Professor Emeritus in the Department of Statistics at the University of Chicago.
Title: The History of Statistics: The Measurement ...
Publisher: Belknap Press
Publication Date: 1990
Binding: Paperback
Condition: Good
Seller: HPB-Ruby, Dallas, TX, U.S.A.
Paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_464144077
Seller: Book Bar Wales, Wrexham, United Kingdom
Soft cover. Condition: Near Fine. 5th or later Edition. No inscriptions and just one small crease to bottom corner of front cover. A clean, tight, bright copy of 410pp. Seller Inventory # 003930
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Condition: New. Supporting Bay Area Friends of the Library since 2010. Well packaged and promptly shipped. Seller Inventory # BAY_17_SH_040939
Seller: Livres 113, BEAUTIRAN, France
English language - Paper cover, illustrated - Texte en Anglais - Fort volume broché - Couverture Illustrée - Quelques marques au crayon en marges - Additional postage due to language may apply, please inquire XVI-410 pages, 24 cm, broché. Bon état. Seller Inventory # 42995
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # WH-9780674403413
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Paperback or Softback. Condition: New. The History of Statistics: The Measurement of Uncertainty Before 1900. Book. Seller Inventory # BBS-9780674403413
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: Rarewaves.com UK, London, United Kingdom
Paperback. Condition: New. This magnificent book is the first comprehensive history of statistics from its beginnings around 1700 to its emergence as a distinct and mature discipline around 1900. Stephen M. Stigler shows how statistics arose from the interplay of mathematical concepts and the needs of several applied sciences including astronomy, geodesy, experimental psychology, genetics, and sociology. He addresses many intriguing questions: How did scientists learn to combine measurements made under different conditions? And how were they led to use probability theory to measure the accuracy of the result? Why were statistical methods used successfully in astronomy long before they began to play a significant role in the social sciences? How could the introduction of least squares predate the discovery of regression by more than eighty years? On what grounds can the major works of men such as Bernoulli, De Moivre, Bayes, Quetelet, and Lexis be considered partial failures, while those of Laplace, Galton, Edgeworth, Pearson, and Yule are counted as successes? How did Galton's probability machine (the quincunx) provide him with the key to the major advance of the last half of the nineteenth century?Stigler's emphasis is upon how, when, and where the methods of probability theory were developed for measuring uncertainty in experimental and observational science, for reducing uncertainty, and as a conceptual framework for quantitative studies in the social sciences. He describes with care the scientific context in which the different methods evolved and identifies the problems (conceptual or mathematical) that retarded the growth of mathematical statistics and the conceptual developments that permitted major breakthroughs.Statisticians, historians of science, and social and behavioral scientists will gain from this book a deeper understanding of the use of statistical methods and a better grasp of the promise and limitations of such techniques. The product of ten years of research, The History of Statistics will appeal to all who are interested in the humanistic study of science. Seller Inventory # LU-9780674403413
Quantity: 2 available
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New. Seller Inventory # 414871-n
Seller: GoldBooks, Denver, CO, U.S.A.
Condition: new. Seller Inventory # 92B72_44_067440341X