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Probability Statistical Inference Basic by Mavrakakis Miltiadis (15 results)
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Probability and Statistical Inference : From Basic Principles to Advanced Models
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367749122 ISBN 13: 9780367749125
Language: English
Condition: New.
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Probability and Statistical Inference : From Basic Principles to Advanced Models
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367749122 ISBN 13: 9780367749125
Language: English
Condition: As New. Unread book in perfect condition.
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Probability and Statistical Inference: From Basic Principles to Advanced Models
Published by Taylor & Francis Ltd, 2022
ISBN 10: 0367749122 ISBN 13: 9780367749125
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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£ 60.51
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Probability and Statistical Inference: From Basic Principles to Advanced Models
Published by Chapman and Hall/CRC 2022-09, 2022
ISBN 10: 0367749122 ISBN 13: 9780367749125
Language: English
£ 58.56
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Probability and Statistical Inference : From Basic Principles to Advanced Models
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367749122 ISBN 13: 9780367749125
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Probability and Statistical Inference : From Basic Principles to Advanced Models
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367749122 ISBN 13: 9780367749125
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 66.73
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£ 79.73
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Add to basketPaperback. Condition: Brand New. 424 pages. 9.18x6.12x1.00 inches. In Stock.
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Probability and Statistical Inference : From Basic Principles to Advanced Models
Published by Chapman and Hall/CRC, 2021
ISBN 10: 158488939X ISBN 13: 9781584889397
Language: English
Condition: New.
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Probability and Statistical Inference: From Basic Principles to Advanced Models
Published by Taylor & Francis Inc, 2021
ISBN 10: 158488939X ISBN 13: 9781584889397
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
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Add to basketHardback. Condition: New. New copy - Usually dispatched within 4 working days. 454.
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Probability and Statistical Inference : From Basic Principles to Advanced Models
Published by Chapman and Hall/CRC, 2021
ISBN 10: 158488939X ISBN 13: 9781584889397
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 137.92
Convert currency£ 15 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
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Probability and Statistical Inference : From Basic Principles to Advanced Models
Published by Chapman and Hall/CRC, 2021
ISBN 10: 158488939X ISBN 13: 9781584889397
Language: English
Condition: As New. Unread book in perfect condition.
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Probability and Statistical Inference : From Basic Principles to Advanced Models
Published by Chapman and Hall/CRC, 2021
ISBN 10: 158488939X ISBN 13: 9781584889397
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Probability and Statistical Inference: From Basic Principles to Advanced Models (Chapman & Hall/CRC Texts in Statistical Science)
Published by Chapman and Hall/CRC, 2021
ISBN 10: 158488939X ISBN 13: 9781584889397
Language: English
£ 194
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Probability and Statistical Inference : From Basic Principles to Advanced Models
Published by Chapman And Hall/CRC, 2022
ISBN 10: 0367749122 ISBN 13: 9780367749125
Language: English
£ 63.28
Convert currency£ 55.12 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Probability and Statistical Inference: From Basic Principles to Advanced Models covers aspects of probability, distribution theory, and inference that are fundamental to a proper understanding of data analysis and statistical modelling. It presents these topics in an accessible manner without sacrificing mathematical rigour, bridging the gap between the many excellent introductory books and the more advanced, graduate-level texts. The book introduces and explores techniques that are relevant to modern practitioners, while being respectful to the history of statistical inference. It seeks to provide a thorough grounding in both the theory and application of statistics, with even the more abstract parts placed in the context of a practical setting.Features:-Complete introduction to mathematical probability, random variables, and distribution theory.-Concise but broad account of statistical modelling, covering topics such as generalised linear models, survival analysis, time series, and random processes.-Extensive discussion of the key concepts in classical statistics (point estimation, interval estimation, hypothesis testing) and the main techniques in likelihood-based inference.-Detailed introduction to Bayesian statistics and associated topics.-Practical illustration of some of the main computational methods used in modern statistical inference (simulation, boostrap, MCMC).This book is for students who have already completed a first course in probability and statistics, and now wish to deepen and broaden their understanding of the subject. It can serve as a foundation for advanced undergraduate or postgraduate courses. Our aim is to challenge and excite the more mathematically able students, while providing explanations of statistical concepts that are more detailed and approachable than those in advanced texts. This book is also useful for data scientists, researchers, and other applied practitioners who want to understand the theory behind the statistical methods used in their fields.
-
Probability and Statistical Inference : From Basic Principles to Advanced Models
Published by Chapman And Hall/CRC, 2021
ISBN 10: 158488939X ISBN 13: 9781584889397
Language: English
£ 200.56
Convert currency£ 55.80 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Probability and Statistical Inference: From Basic Principles to Advanced Models covers aspects of probability, distribution theory, and inference that are fundamental to a proper understanding of data analysis and statistical modelling. It presents these topics in an accessible manner without sacrificing mathematical rigour, bridging the gap between the many excellent introductory books and the more advanced, graduate-level texts. The book introduces and explores techniques that are relevant to modern practitioners, while being respectful to the history of statistical inference. It seeks to provide a thorough grounding in both the theory and application of statistics, with even the more abstract parts placed in the context of a practical setting.Features:¿Complete introduction to mathematical probability, random variables, and distribution theory.¿Concise but broad account of statistical modelling, covering topics such as generalised linear models, survival analysis, time series, and random processes.¿Extensive discussion of the key concepts in classical statistics (point estimation, interval estimation, hypothesis testing) and the main techniques in likelihood-based inference.¿Detailed introduction to Bayesian statistics and associated topics.¿Practical illustration of some of the main computational methods used in modern statistical inference (simulation, boostrap, MCMC).This book is for students who have already completed a first course in probability and statistics, and now wish to deepen and broaden their understanding of the subject. It can serve as a foundation for advanced undergraduate or postgraduate courses. Our aim is to challenge and excite the more mathematically able students, while providing explanations of statistical concepts that are more detailed and approachable than those in advanced texts. This book is also useful for data scientists, researchers, and other applied practitioners who want to understand the theory behind the statistical methods used in their fields.
