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Theory Stochastic Objects Probability by Micheas Athanasios (23 results)
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£ 29.99
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Add to basketCondition: Used: Good. Occasion - Bon Etat - Theory of stochastic objects : Probability stochastic processes and inference (2018) - Grand Format.
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Theory of Stochastic Objects : Probability, Stochastic Processes and Inference
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032242884 ISBN 13: 9781032242880
Language: English
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Theory of Stochastic Objects: Probability, Stochastic Processes and Inference
Published by Chapman and Hall/CRC 2021-12, 2021
ISBN 10: 1032242884 ISBN 13: 9781032242880
Language: English
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Theory of Stochastic Objects : Probability, Stochastic Processes and Inference
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032242884 ISBN 13: 9781032242880
Language: English
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Theory of Stochastic Objects: Probability, Stochastic Processes and Inference
Published by Taylor & Francis Ltd, 2021
ISBN 10: 1032242884 ISBN 13: 9781032242880
Language: English
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Theory of Stochastic Objects: Probability, Stochastic Processes and Inference (Chapman & Hall/CRC Texts in Statistical Science)
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032242884 ISBN 13: 9781032242880
Language: English
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Theory of Stochastic Objects: Probability, Stochastic Processes and Inference (Chapman & Hall/CRC Texts in Statistical Science)
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032242884 ISBN 13: 9781032242880
Language: English
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Theory of Stochastic Objects: Probability, Stochastic Processes and Inference (Chapman & Hall/CRC Texts in Statistical Science)
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032242884 ISBN 13: 9781032242880
Language: English
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Theory of Stochastic Objects : Probability, Stochastic Processes and Inference
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032242884 ISBN 13: 9781032242880
Language: English
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Theory of Stochastic Objects : Probability, Stochastic Processes and Inference
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032242884 ISBN 13: 9781032242880
Language: English
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Theory of Stochastic Objects: Probability, Stochastic Processes and Inference (Chapman & Hall/CRC Texts in Statistical Science)
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032242884 ISBN 13: 9781032242880
Language: English
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Theory of Stochastic Objects: Probability, Stochastic Processes and Inference (Chapman & Hall/CRC Texts in Statistical Science)
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032242884 ISBN 13: 9781032242880
Language: English
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Theory of Stochastic Objects : Probability, Stochastic Processes and Inference
Published by Chapman and Hall/CRC, 2018
ISBN 10: 1466515201 ISBN 13: 9781466515208
Language: English
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Theory of Stochastic Objects : Probability, Stochastic Processes and Inference
Published by Chapman and Hall/CRC, 2018
ISBN 10: 1466515201 ISBN 13: 9781466515208
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Theory of Stochastic Objects: Probability, Stochastic Processes and Inference
Published by Taylor & Francis Inc, 2018
ISBN 10: 1466515201 ISBN 13: 9781466515208
Language: English
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Theory of Stochastic Objects : Probability, Stochastic Processes and Inference
Published by Chapman and Hall/CRC, 2018
ISBN 10: 1466515201 ISBN 13: 9781466515208
Language: English
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Theory of Stochastic Objects: Probability, Stochastic Processes and Inference (Chapman & Hall/CRC Texts in Statistical Science)
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032242884 ISBN 13: 9781032242880
Language: English
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Theory of Stochastic Objects : Probability, Stochastic Processes and Inference
Published by Chapman and Hall/CRC, 2018
ISBN 10: 1466515201 ISBN 13: 9781466515208
Language: English
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Hardcover. Condition: Brand New. 1st edition. 416 pages. 10.16x7.17x1.02 inches. In Stock.
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Theory of Stochastic Objects: Probability, Stochastic Processes and Inference (Chapman & Hall/CRC Texts in Statistical Science)
Published by Chapman and Hall/CRC, 2018
ISBN 10: 1466515201 ISBN 13: 9781466515208
Language: English
Hardcover. Condition: New. New. book.
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Paperback. Condition: Brand New. 378 pages. 10.00x7.00x0.94 inches. In Stock. This item is printed on demand.
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Theory of Stochastic Objects : Probability, Stochastic Processes and Inference
Published by Chapman And Hall/CRC, 2021
ISBN 10: 1032242884 ISBN 13: 9781032242880
Language: English
£ 62.06
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book defines and investigates the concept of a random object. To accomplish this task in a natural way, it brings together three major areas; statistical inference, measure-theoretic probability theory and stochastic processes. This point of view has not been explored by existing textbooks; one would need material on real analysis, measure and probability theory, as well as stochastic processes - in addition to at least one text on statistics- to capture the detail and depth of material that has gone into this volume.Presents and illustrates 'random objects' in different contexts, under a unified framework, starting with rudimentary results on random variables and random sequences, all the way up to stochastic partial differential equations.Reviews rudimentary probability and introduces statistical inference, from basic to advanced, thus making the transition from basic statistical modeling and estimation to advanced topics more natural and concrete.Compact and comprehensive presentation of the material that will be useful to a reader from the mathematics and statistical sciences, at any stage of their career, either as a graduate student, an instructor, or an academician conducting research and requiring quick references and examples to classic topics. Includes 378 exercises, with the solutions manual available on the book's website.121 illustrative examples of the concepts presented in the text (many including multiple items in a single example).Thebook is targeted towards students at the master's and Ph.D. levels, as well as, academicians in the mathematics, statistics and related disciplines. Basic knowledge of calculus and matrix algebra is required. Prior knowledge of probability or measure theory is welcomed but not necessary.
