9780367749125 - probability and statistical inference: from basic principles to advanced models di mavrakakis, miltiadis c.; penzer, jeremy (18 risultati)
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2022
Serie: Libro 82 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2022
Serie: Libro 82 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Paperback. Condizione: 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 sacrific…ing 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.
Lingua: Inglese
Editore: Taylor & Francis Ltd, 2022
Serie: Libro 82 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
Editore: Chapman and Hall/CRC, 2022
Serie: Libro 82 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
Editore: Chapman and Hall/CRC, 2022
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Probability and Statistical Inference: From Basic Principles to Advanced Models (Chapman & Hall/CRC Texts in Statistical Science)
Mavrakakis, Miltiadis C. Miltiadis C. Mavrakakis, Jeremy Penzer,
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2022
Serie: Libro 82 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Da: Chiron Media, Wallingford, Regno UnitoChiron Media
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paperback. Condizione: New.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2022
Serie: Libro 82 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. 1st edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2022
Serie: Libro 82 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Serie: Libro 82 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Paperback. Condizione: Brand New. 424 pages. 9.18x6.12x1.00 inches. In Stock.
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Lingua: Inglese
Editore: Chapman and Hall/CRC, 2022
Serie: Libro 82 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Taschenbuch. Condizione: 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 Hersfel…d, gpsr[at]libri[dot]de | Anbieter: preigu.
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Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2022
Serie: Libro 82 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Brossura
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Paperback. Condizione: 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 sacrific…ing 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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Lingua: Inglese
Editore: Chapman And Hall/CRC Sep 2022, 2022
Serie: Libro 82 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: 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 model…ling. 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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Lingua: Inglese
Editore: CRC Press, 2022
Serie: Libro 82 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Da: moluna, Greven, Germaniamoluna
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Kartoniert / Broschiert. Condizione: 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.
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Lingua: Inglese
Editore: Chapman And Hall/CRC, 2022
Serie: Libro 82 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Brossura
- Print on Demand
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: 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.
