Statistics Science Foundations Statistical (37 results)
Language: English
Published by Chapman and Hall/CRC (edition 1) 2021
Series: Chapman & Hall/CRC Texts in Statistical Science, Book 89 of 59. Book 89 of 59 - Chapman & Hall/CRC Texts in Statistical Science
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Language: English
Published by Chapman and Hall/CRC 2021
Series: Chapman & Hall/CRC Texts in Statistical Science, Book 89 of 59. Book 89 of 59 - Chapman & Hall/CRC Texts in Statistical Science
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Published by Dordrecht. Boston. London. Kluwer Academic Publishers.
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Add to basketCondition: Gebraucht / Used. 1990. Or.hardbound. ix,184pp. 8°. Bibliogr. Index.
Language: English
Published by Chapman and Hall/CRC 2021
Series: Chapman & Hall/CRC Texts in Statistical Science, Book 89 of 59. Book 89 of 59 - Chapman & Hall/CRC Texts in Statistical Science
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Language: English
Published by Springer 2022
Series: Springer Series in Statistics, Book 158 of 160. Book 158 of 160 - Springer Series in Statistics
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Language: English
Published by Springer 2022
Series: Springer Series in Statistics, Book 158 of 160. Book 158 of 160 - Springer Series in Statistics
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Language: English
Published by Springer 2022
Series: Springer Series in Statistics, Book 158 of 160. Book 158 of 160 - Springer Series in Statistics
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Foundations of Bayesian Statistics for Data Scientists: With R and Python (Chapman & Hall/CRC Texts in Statistical Science)
Agresti, Alan; Kateri, Maria; Grove, Ranjini; Mira, Antonietta
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Foundations of Bayesian Statistics for Data Scientists: With R and Python (Chapman & Hall/CRC Texts in Statistical Science)
Agresti, Alan; Kateri, Maria; Grove, Ranjini; Mira, Antonietta
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Foundations of Bayesian Statistics for Data Scientists: With R and Python (Chapman & Hall/CRC Texts in Statistical Science)
Agresti, Alan Alan Agresti, Maria Kateri, Ranjini Grove, Antonietta Mira,
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Language: English
Published by Chapman and Hall/CRC 2021-11-22 2021
Series: Chapman & Hall/CRC Texts in Statistical Science, Book 89 of 59. Book 89 of 59 - Chapman & Hall/CRC Texts in Statistical Science
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Language: English
Published by Springer 2022
Series: Springer Series in Statistics, Book 158 of 160. Book 158 of 160 - Springer Series in Statistics
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Foundations of Bayesian Statistics for Data Scientists: With R and Python (Chapman & Hall/CRC Texts in Statistical Science)
Agresti, Alan; Kateri, Maria; Grove, Ranjini; Mira, Antonietta
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Foundations of Bayesian Statistics for Data Scientists: With R and Python (Chapman & Hall/CRC Texts in Statistical Science)
Agresti, Alan; Kateri, Maria; Grove, Ranjini; Mira, Antonietta
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Language: English
Published by Springer 2021
Series: Springer Series in Statistics, Book 158 of 160. Book 158 of 160 - Springer Series in Statistics
- Hardcover
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Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Shows some signs of wear but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Language: English
Published by Springer Netherlands, Springer Netherlands 2011
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - An inference may be defined as a passage of thought according to some method. In the theory of knowledge it is customary to distinguish deductive and non-deductive inferences. Deductive inferences are truth preserving, that is, the truth of the pre…mises is preserved in the con clusion. As a result, the conclusion of a deductive inference is already 'contained' in the premises, although we may not know this fact until the inference is performed. Standard examples of deductive inferences are taken from logic and mathematics. Non-deductive inferences need not preserve truth, that is, 'thought may pass' from true premises to false conclusions. Such inferences can be expansive, or, ampliative in the sense that the performances of such inferences actually increases our putative knowledge. Standard non-deductive inferences do not really exist, but one may think of elementary inductive inferences in which conclusions regarding the future are drawn from knowledge of the past. Since the body of scientific knowledge is increasing, it is obvious that the method of science must allow non-deductive as well as deductive inferences. Indeed, the explosive growth of science in recent times points to a prominent role for the former. Philosophers of science have long tried to isolate and study the non-deductive inferences in science. The inevitability of such inferences one the one hand, juxtaposed with the poverty of all efforts to identify them, constitutes one of the major cognitive embarrassments of our time.
Language: English
Published by Taylor & Francis Group 2021
Series: Chapman & Hall/CRC Texts in Statistical Science, Book 89 of 59. Book 89 of 59 - Chapman & Hall/CRC Texts in Statistical Science
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Language: English
Published by Chapman and Hall/CRC 2021-11-22 2021
Series: Chapman & Hall/CRC Texts in Statistical Science, Book 89 of 59. Book 89 of 59 - Chapman & Hall/CRC Texts in Statistical Science
- Hardcover
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Language: English
Published by Chapman and Hall/CRC 2021
Series: Chapman & Hall/CRC Texts in Statistical Science, Book 89 of 59. Book 89 of 59 - Chapman & Hall/CRC Texts in Statistical Science
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Language: English
Published by Springer 2021
Series: Springer Series in Statistics, Book 158 of 160. Book 158 of 160 - Springer Series in Statistics
- Hardcover
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Language: English
Published by Taylor & Francis Group 2021
Series: Chapman & Hall/CRC Texts in Statistical Science, Book 89 of 59. Book 89 of 59 - Chapman & Hall/CRC Texts in Statistical Science
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Language: English
Published by Springer 2022
Series: Springer Series in Statistics, Book 158 of 160. Book 158 of 160 - Springer Series in Statistics
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Language: English
Published by Taylor & Francis Group 2021
Series: Chapman & Hall/CRC Texts in Statistical Science, Book 89 of 59. Book 89 of 59 - Chapman & Hall/CRC Texts in Statistical Science
- Hardcover
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Language: English
Published by Springer 2021
Series: Springer Series in Statistics, Book 158 of 160. Book 158 of 160 - Springer Series in Statistics
- Hardcover
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Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
