A treatise on probability

Keynes, John Maynard

Verlag: Macmillan and co., limited 1929-01-01, 1929
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Verkäufer Richard J. Park, Bookseller (Leawood, KS, USA)
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B00085M712 2nd printing. Tan cloth covers with a tan dustjacket. A Very Good book and a Good+ dustjacket. Book has light spotting along the top outer page edges and slight damp staining on the spine edges. Front blank endpage also has some light stains. Dustjacket has light fading and light damp staining along the spine. 466 pages, ads. Buchnummer des Verkäufers 18696

Bibliografische Details

Titel: A treatise on probability
Verlag: Macmillan and co., limited 1929-01-01
Erscheinungsdatum: 1929
Einband: Hardcover
Zustand: Very Good

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Buchbeschreibung Atlantic Publishers and Distributors. Zustand: New. pp. 546. Bestandsnummer des Verkäufers 11302733

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Buchbeschreibung www.bnpublishing.com, 2008. Paperback. Zustand: New. Dispatched, from the UK, within 48 hours of ordering. This book is in Brand New condition. Bestandsnummer des Verkäufers CHL5419517

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Buchbeschreibung Atlantic Publishers & Distributors Pvt. Ltd., 2012. Paperback. Zustand: New. Printed Pages: 456. Bestandsnummer des Verkäufers Atlantic-9788126916726

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Keynes, John Maynard
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Buchbeschreibung Wildside Press, 2010. Paperback. Zustand: Good. Item may show signs of shelf wear. Pages may include limited notes and highlighting. May include supplemental or companion materials if applicable. Access codes may or may not work. Connecting readers since 1972. Customer service is our top priority. Bestandsnummer des Verkäufers mon0002229867

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Buchbeschreibung Atlantic Publishers & Distributors (P) Ltd., 2012. Softcover. Zustand: New. Probability theory is a well-established branch of mathematics that finds applications in a wide area of scholarly activities such as in physics, chemistry, geology, medicine, economics, sociology, engineering, operation research, etc. With his insightful exploration of the probabilistic connection between philosophy and the history of science, John Maynard Keynes, perhaps the best known of economists, breathed new life in the study of both these disciplines. His A Treatise on Probability is an outstanding mathematical work and is widely considered as an important contribution to the theory regarding the logical probability of proportions. What Keynes wrote is sacrosanct and has been retained in this book. His original book is in 31 chapters. In order to facilitate updating, we have combined some chapters and presented it in 26 chapters and converted it into third person from the original first person, keeping in view the modern trend. We have added important developments that have taken place since Keynes wrote the book, to provide updated material to the students and teachers of various disciplines. The book is divided into five parts. Part-I provides fundamental ideas on probability. Part-II contains fundamental theorems. Part-III deals with induction and analogy. Part-IV throws light on some philosophical applications of probability, while Part-V relates to the foundations of statistical inference. Bibliography has been updated by including more books. Index also stands revised and updated. Exclusive chapters â Practice Problemsâ have been added in each part except Part-IV, containing a large number of solved exercises providing plenty of opportunity to the students for practicing skills and developing a sound understanding of the subject. Unsolved exercises have been given under â Test Yourselfâ . The book with updated matter and in its present layout will be useful for students and teachers of various disciplines including economics, physical sciences, engineering, geology, statistics, economics and sociology. Contents : Prefaceâ "Volume - Iâ "Part-Iâ "Fundamental Ideasâ "1. Introduction; 2. Probability: The Study of Chances; 3. The Measurement of Probabilities; 4. The Frequency Theory of Probability; 5. Practice Problemsâ "Part-IIâ "Fundamental Theoremsâ "6. Theorems of Probability; 7. Probability and Inference; 8. Measurement and Approximation of Probabilities; 9. Problems in Inverse Probability; 1. Practice Problemsâ "Part-IIIâ "Induction and Analogyâ "11. The Nature of Argument by Analogy; 12. Pure Induction; 13. The Nature of Inductive Argument Continued; 14. The Justification of These Methods; 15. Some Historical Notes on Induction Printed Pages: 546. Bestandsnummer des Verkäufers 70063

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Buchbeschreibung Atlantic Publishers & Distributors Pvt. Ltd., 2012. Paperback. Zustand: New. Printed Pages: 552. Bestandsnummer des Verkäufers Atlantic-9788126916719

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Buchbeschreibung Atlantic Publishers & Distributors (P) Ltd., 2012. Softcover. Zustand: New. Probability theory is a well-established branch of mathematics that finds applications in a wide area of scholarly activities such as in physics, chemistry, geology, medicine, economics, sociology, engineering, operation research, etc. With his insightful exploration of the probabilistic connection between philosophy and the history of science, John Maynard Keynes, perhaps the best known of economists, breathed new life in the study of both these disciplines. His A Treatise on Probability is an outstanding mathematical work and is widely considered as an important contribution to the theory regarding the logical probability of proportions. What Keynes wrote is sacrosanct and has been retained in this book. His original book is in 31 chapters. In order to facilitate updating, we have combined some chapters and presented it in 26 chapters and converted it into third person from the original first person, keeping in view the modern trend. We have added important developments that have taken place since Keynes wrote the book, to provide updated material to the students and teachers of various disciplines. The book is divided into five parts. Part-I provides fundamental ideas on probability. Part-II contains fundamental theorems. Part-III deals with induction and analogy. Part-IV throws light on some philosophical applications of probability, while Part-V relates to the foundations of statistical inference. Bibliography has been updated by including more books. Index also stands revised and updated. Exclusive chapters Û÷Practice Problems Ûª have been added in each part except Part-IV, containing a large number of solved exercises providing plenty of opportunity to the students for practicing skills and developing a sound understanding of the subject. Unsolved exercises have been given under Û÷Test Yourself Ûª. The book with updated matter and in its present layout will be useful for students and teachers of various disciplines including economics, physical sciences, engineering, geology, statistics, economics and sociology. Contents : Preface ÛÓVolume - I ÛÓPart-I ÛÒFundamental Ideas ÛÒ1. Introduction; 2. Probability: The Study of Chances; 3. The Measurement of Probabilities; 4. The Frequency Theory of Probability; 5. Practice Problems ÛÓPart-II ÛÓFundamental Theorems ÛÓ6. Theorems of Probability; 7. Probability and Inference; 8. Measurement and Approximation of Probabilities; 9. Problems in Inverse Probability; 1. Practice Problems ÛÓPart-III ÛÒInduction and Analogy ÛÓ11. The Nature of Argument by Analogy; 12. Pure Induction; 13. The Nature of Inductive Argument Continued; 14. The Justification of These Methods; 15. Some Historical Notes on Induction Printed Pages: 546. Bestandsnummer des Verkäufers 70063BV

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John Maynard Keynes
Verlag: Atlantic Publishers & Distributors Pvt. Ltd. (2012)
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Buchbeschreibung Atlantic Publishers & Distributors Pvt. Ltd., 2012. Paperback. Zustand: New. Printed Pages: 552. Bestandsnummer des Verkäufers Atlantic-9788126916719

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John Maynard Keynes
Verlag: Atlantic Publishers & Distributors (P) Ltd. (2012)
ISBN 10: 8126916710 ISBN 13: 9788126916719
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Buchbeschreibung Atlantic Publishers & Distributors (P) Ltd., 2012. Softcover. Zustand: New. Probability theory is a well-established branch of mathematics that finds applications in a wide area of scholarly activities such as in physics, chemistry, geology, medicine, economics, sociology, engineering, operation research, etc. With his insightful exploration of the probabilistic connection between philosophy and the history of science, John Maynard Keynes, perhaps the best known of economists, breathed new life in the study of both these disciplines. His A Treatise on Probability is an outstanding mathematical work and is widely considered as an important contribution to the theory regarding the logical probability of proportions. What Keynes wrote is sacrosanct and has been retained in this book. His original book is in 31 chapters. In order to facilitate updating, we have combined some chapters and presented it in 26 chapters and converted it into third person from the original first person, keeping in view the modern trend. We have added important developments that have taken place since Keynes wrote the book, to provide updated material to the students and teachers of various disciplines. The book is divided into five parts. Part-I provides fundamental ideas on probability. Part-II contains fundamental theorems. Part-III deals with induction and analogy. Part-IV throws light on some philosophical applications of probability, while Part-V relates to the foundations of statistical inference. Bibliography has been updated by including more books. Index also stands revised and updated. Exclusive chapters Û÷Practice Problems Ûª have been added in each part except Part-IV, containing a large number of solved exercises providing plenty of opportunity to the students for practicing skills and developing a sound understanding of the subject. Unsolved exercises have been given under Û÷Test Yourself Ûª. The book with updated matter and in its present layout will be useful for students and teachers of various disciplines including economics, physical sciences, engineering, geology, statistics, economics and sociology. Contents : Preface ÛÓVolume - I ÛÓPart-I ÛÒFundamental Ideas ÛÒ1. Introduction; 2. Probability: The Study of Chances; 3. The Measurement of Probabilities; 4. The Frequency Theory of Probability; 5. Practice Problems ÛÓPart-II ÛÓFundamental Theorems ÛÓ6. Theorems of Probability; 7. Probability and Inference; 8. Measurement and Approximation of Probabilities; 9. Problems in Inverse Probability; 1. Practice Problems ÛÓPart-III ÛÒInduction and Analogy ÛÓ11. The Nature of Argument by Analogy; 12. Pure Induction; 13. The Nature of Inductive Argument Continued; 14. The Justification of These Methods; 15. Some Historical Notes on Induction Printed Pages: 546. Bestandsnummer des Verkäufers 70063

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Keynes, John Maynard
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