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Probability Statistical Inference by Mavrakakis Miltiadis (34 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 (Chapman & Hall/CRC Texts in Statistical Science)
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 (Chapman & Hall/CRC Texts in Statistical Science)
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 (Chapman & Hall/CRC Texts in Statistical Science)
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367749122 ISBN 13: 9780367749125
Language: English
Condition: New. 1st edition NO-PA16APR2015-KAP.
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Probability and Statistical Inference (Chapman & Hall/CRC Texts in Statistical Science)
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367749122 ISBN 13: 9780367749125
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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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
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 185.
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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
PF. 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
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Probability and Statistical Inference
Published by Taylor and Francis Ltd, GB, 2022
ISBN 10: 0367749122 ISBN 13: 9780367749125
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. 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.
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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
US$ 90.65
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Paperback. 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, 2022
ISBN 10: 0367749122 ISBN 13: 9780367749125
Language: English
Taschenbuch. Condition: Neu. Probability and Statistical Inference | From Basic Principles to Advanced Models | Miltiadis C. Mavrakakis (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2022 | Chapman and Hall/CRC | EAN 9780367749125 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Probability and Statistical Inference (Chapman & Hall/CRC Texts in Statistical Science)
Published by Chapman and Hall/CRC, 2021
ISBN 10: 158488939X ISBN 13: 9781584889397
Language: English
Seller: Phatpocket Limited, Waltham Abbey, HERTS, United Kingdom
Seller rating 5 out of 5 stars
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.
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Probability and Statistical Inference
Published by Taylor and Francis Ltd, GB, 2022
ISBN 10: 0367749122 ISBN 13: 9780367749125
Language: English
US$ 96.36
US$ 85.37 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback. Condition: New. 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
Condition: New.
-
Probability and Statistical Inference (Chapman & Hall/CRC Texts in Statistical Science)
Published by Chapman and Hall/CRC, 2021
ISBN 10: 158488939X ISBN 13: 9781584889397
Language: English
Condition: New.
-
Probability and Statistical Inference (Chapman & Hall/CRC Texts in Statistical Science)
Published by Taylor & Francis Group, 2021
ISBN 10: 158488939X ISBN 13: 9781584889397
Language: English
Condition: New. pp. 608 Illus.
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Probability and Statistical Inference (Chapman & Hall/CRC Texts in Statistical Science)
Published by Chapman and Hall/CRC, 2021
ISBN 10: 158488939X ISBN 13: 9781584889397
Language: English
Condition: New.
-
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
US$ 186.57
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Add to basketCondition: 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
Hardback. Condition: New. New copy - Usually dispatched within 4 working days. 454.
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Probability and Statistical Inference (Chapman & Hall/CRC Texts in Statistical Science)
Published by Chapman and Hall/CRC, 2021
ISBN 10: 158488939X ISBN 13: 9781584889397
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 195.37
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Add to basketCondition: New. In.
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Probability and Statistical Inference (Chapman & Hall/CRC Texts in Statistical Science)
Published by Taylor & Francis Group, 2021
ISBN 10: 158488939X ISBN 13: 9781584889397
Language: English
Condition: New. pp. 608.
-
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.
-
Probability and Statistical Inference (Chapman & Hall/CRC Texts in Statistical Science)
Published by Taylor & Francis Group, 2021
ISBN 10: 158488939X ISBN 13: 9781584889397
Language: English
Condition: New. pp. 608.
-
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
US$ 221.67
US$ 19.70 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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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
Hardcover. Condition: New. New. book.
-
Probability and Statistical Inference
Published by Chapman And Hall/CRC Sep 2022, 2022
ISBN 10: 0367749122 ISBN 13: 9780367749125
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 444 pp. Englisch.
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Probability and Statistical Inference (Chapman & Hall/CRC Texts in Statistical Science)
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367749122 ISBN 13: 9780367749125
Language: English
Condition: New. PRINT ON DEMAND.
-
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Miltiadis Mavrakakis obtained his PhD in Statistics at LSE under the supervision of Jeremy Penzer. His first job was as a teaching fellow at LSE, taking over course ST202 and completing this book in the process. He splits his time between lecturing (at L.
