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Synopsis
Writing as a biologist and a behavioralist, Professor Hogben examines the underlying assumptions of a statistical theory. He sets down, with the clarity, brilliance, and force one expects from him, the views of the scientist who uses the formulae of statistics. He distinguishes four elements in today's theory of statistics: a calculus of error, a calculus of aggregates, a calculus of exploration, and a calculus of judgments, and he examines all of them according to their origins, contents, and validity. By tracing current conflicts of doctrine to their sources, he makes clear to the younger generation of research workers how important it is to examine and to question the credentials of principles invoked in the course of their work.
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À propos de l?auteur
Lancelot Hogben was born in Southsea, Hampshire, England, in 1895 and was educated at Trinity College, Cambridge University, where he obtained his M.S. degree. he received his D.Sc. degree from London Unversity and an honorary LL.D. from Birmingham Univesity. His other popular books include Science for the Citizen and (with Frederick Bodmer) The Loom of Language.
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- ÉditeurW. W. Norton & Company
- Date d'édition1968
- ISBN 10 0393335593
- ISBN 13 9780393335590
- ReliureBroché
- Langueanglais
- Nombre de pages516
- Coordonnées du fabricantnon disponible
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Statistical Theory : The Relationship of Probability, Credibility, and Error
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ISBN 10 : 0393335593
ISBN 13 : 9780393335590
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Statistical Theory: The Relationship of Probability, Credibility, and Error
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ISBN 13 : 9780393335590
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Statistical Theory - The Relationship of Probability, Credibility, and Error
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Statistical Theory: The Relationship of Probability, Credibility, and Error
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W. W. Norton & Company, 2025
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Etat : New. Über den AutorLancelot Hogben was born in Southsea, Hampshire, England, in 1895 and was educated at Trinity College, Cambridge University, where he obtained his M.S. degree. he received his D.Sc. degree from London . N° de réf. du vendeur 594614609
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Statistical Theory: The Relationship of Probability, Credibility, and Error
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ISBN 13 : 9780393335590
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Statistical Theory The Relationship of Probability, Credibility, and Error
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Statistical Theory : The Relationship of Probability, Credibility, and Error
Edité par
W. W. Norton & Company, 1968
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ISBN 13 : 9780393335590
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Writing as a biologist and a behavioralist, Professor Hogben examines the underlying assumptions of a statistical theory. He sets down, with the clarity, brilliance, and force one expects from him, the views of the scientist who uses the formulae of statistics. He distinguishes four elements in today's theory of statistics: a calculus of error, a calculus of aggregates, a calculus of exploration, and a calculus of judgments, and he examines all of them according to their origins, contents, and validity. By tracing current conflicts of doctrine to their sources, he makes clear to the younger generation of research workers how important it is to examine and to question the credentials of principles invoked in the course of their work. N° de réf. du vendeur 9780393335590
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Statistical Theory (Paperback)
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WW Norton & Co, New York, 1968
ISBN 10 : 0393335593
ISBN 13 : 9780393335590
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Paperback. Etat : new. Paperback. Writing as a biologist and a behavioralist, Professor Hogben examines the underlying assumptions of a statistical theory. He sets down, with the clarity, brilliance, and force one expects from him, the views of the scientist who uses the formulae of statistics. He distinguishes four elements in today's theory of statistics: a calculus of error, a calculus of aggregates, a calculus of exploration, and a calculus of judgments, and he examines all of them according to their origins, contents, and validity. By tracing current conflicts of doctrine to their sources, he makes clear to the younger generation of research workers how important it is to examine and to question the credentials of principles invoked in the course of their work. Statistical theory is of importance to the plain man as well as to the trained mathematician. Scientists, sociologists, and administrators show an increasing disposition to exploit the newest statistical devices with little concern for their mathematical credentials or the formal assumptions contained within them. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9780393335590
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