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Añadir al carritoCondición: New. First published in 1972, Distribution Theory follows on from the author s earlier book, Descriptive Statistics and Probability Theory, but may easily be followed by any reader who has not studied that particular book but who has gained some.
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Añadir al carritoCondición: New. First published in 1972, in Descriptive Statistics and Probability Theory the numerical work- the selection of numerical data-is used as a basis for developing the statistical theory. Other starting points could have been chosen but a beginner wil.
Idioma: Inglés
Publicado por Taylor & Francis Ltd Aug 2025, 2025
ISBN 10: 1041076762 ISBN 13: 9781041076766
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 146,37
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Añadir al carritoBuch. Condición: Neu. Neuware - First published in 1972, Distribution Theory follows on from the author's earlier book, Descriptive Statistics and Probability Theory, but may easily be followed by any reader who has not studied that particular book but who has gained some knowledge of numerical distributions and basic probability theory. The author has attempted to steer a middle course between those textbooks which concentrate solely on statistical calculations and those which concentrate solely on statistical theory. It is his belief that statistics is best understood through a mixture of practical numerical work and knowledge of the corresponding theory.
Idioma: Inglés
Publicado por Taylor & Francis, Routledge, 2025
ISBN 10: 1041076894 ISBN 13: 9781041076896
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 111,70
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -First published in 1972, in Descriptive Statistics and Probability Theory the numerical work- the selection of numerical data-is used as a basis for developing the statistical theory. Other starting points could have been chosen but a beginner will readily understand this sort of work and hence be able to 'get the feel of' statistics, untroubled by the learning of fresh concepts.From this numerical work emerges the 'need' to introduce counting techniques, permutations, combinations and the binomial theorem. In a similar way the necessity for probability is shown and the basic ideas are developed intuitively. A final short chapter shows how these ideas can be formalised within an axiomatic system. In all cases, simple intuitive ideas are taken as a starting point and then discussion leads to the final formalization. As concepts are introduced the language of statistics is developed. A large number of examples is used and they are all worked in full detail. Occasionally the reader is placed in a problem situation and invited to attempt his own individual solution before reading on to match his own attempts to other solutions. It is hoped that motivation of this sort will lead the reader to develop greater sensitivity than would otherwise be the case. This is an important read for students of statistics, mathematics and economics. 212 pp. Englisch.
Idioma: Inglés
Publicado por Taylor & Francis, Routledge, 2025
ISBN 10: 1041076894 ISBN 13: 9781041076896
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 123,45
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - First published in 1972, in Descriptive Statistics and Probability Theory the numerical work- the selection of numerical data-is used as a basis for developing the statistical theory. Other starting points could have been chosen but a beginner will readily understand this sort of work and hence be able to 'get the feel of' statistics, untroubled by the learning of fresh concepts.From this numerical work emerges the 'need' to introduce counting techniques, permutations, combinations and the binomial theorem. In a similar way the necessity for probability is shown and the basic ideas are developed intuitively. A final short chapter shows how these ideas can be formalised within an axiomatic system. In all cases, simple intuitive ideas are taken as a starting point and then discussion leads to the final formalization. As concepts are introduced the language of statistics is developed. A large number of examples is used and they are all worked in full detail. Occasionally the reader is placed in a problem situation and invited to attempt his own individual solution before reading on to match his own attempts to other solutions. It is hoped that motivation of this sort will lead the reader to develop greater sensitivity than would otherwise be the case. This is an important read for students of statistics, mathematics and economics.