Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367749122 ISBN 13: 9780367749125
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367749122 ISBN 13: 9780367749125
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367749122 ISBN 13: 9780367749125
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367749122 ISBN 13: 9780367749125
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367749122 ISBN 13: 9780367749125
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367749122 ISBN 13: 9780367749125
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Published by Taylor & Francis Ltd, 2022
ISBN 10: 0367749122 ISBN 13: 9780367749125
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367749122 ISBN 13: 9780367749125
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Published by Chapman and Hall/CRC 2022-09, 2022
ISBN 10: 0367749122 ISBN 13: 9780367749125
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Published by Chapman and Hall/CRC, 2022
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367749122 ISBN 13: 9780367749125
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Published by Chapman and Hall/CRC, 2022
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Add to basketPaperback. Condition: Brand New. 424 pages. 9.18x6.12x1.00 inches. In Stock.
Published by Chapman and Hall/CRC, 2021
ISBN 10: 158488939X ISBN 13: 9781584889397
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Add to basketCondition: 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.
Published by Chapman and Hall/CRC, 2021
ISBN 10: 158488939X ISBN 13: 9781584889397
Language: English
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Published by Chapman and Hall/CRC, 2021
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 158488939X ISBN 13: 9781584889397
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Published by Taylor & Francis Inc, 2021
ISBN 10: 158488939X ISBN 13: 9781584889397
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ISBN 10: 158488939X ISBN 13: 9781584889397
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 158488939X ISBN 13: 9781584889397
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Published by Chapman and Hall/CRC, 2021
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Published by Taylor & Francis Group, 2021
ISBN 10: 158488939X ISBN 13: 9781584889397
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 158488939X ISBN 13: 9781584889397
Language: English
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 158488939X ISBN 13: 9781584889397
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Published by Taylor & Francis Group, 2021
ISBN 10: 158488939X ISBN 13: 9781584889397
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 158488939X ISBN 13: 9781584889397
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Published by Chapman And Hall/CRC Sep 2022, 2022
ISBN 10: 0367749122 ISBN 13: 9780367749125
Language: English
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Add to basketTaschenbuch. 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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Add to basketKartoniert / 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.
Published by Chapman And Hall/CRC, 2022
ISBN 10: 0367749122 ISBN 13: 9780367749125
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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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.
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.