Published by Dunod, 1969
Seller: Ammareal, Morangis, France
£ 2.82
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Add to basketCondition: Bon. Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Edition 1969. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Slight signs of wear on the cover. Edition 1969. Ammareal gives back up to 15% of this item's net price to charity organizations.
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Language: English
Published by ISTE Ltd and John Wiley and Sons Inc, 2023
ISBN 10: 1786309114 ISBN 13: 9781786309112
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Seller: Brook Bookstore On Demand, Napoli, NA, Italy
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: Biblios, Frankfurt am main, HESSE, Germany
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Language: English
Published by ISTE Ltd and John Wiley & Sons Inc, London, 2020
ISBN 10: 1786305984 ISBN 13: 9781786305985
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: new. Hardcover. This book is devoted to the system analysis of statistical experiments, determined by the averaged sums of sampling random variables. The dynamics of statistical experiments are given by difference stochastic equations with a speci?ed regression function of increments linear or nonlinear. The statistical experiments are studied by the sample volume increasing (N ??), as well as in discrete-continuous time by the number of stages increasing (k ??) for different conditions imposed on the regression function of increments. The proofs of limit theorems employ modern methods for the operator and martingale characterization of Markov processes, including singular perturbation methods. Furthermore, they justify the representation of a stationary Gaussian statistical experiment with the Markov property, as a stochastic difference equation solution, applying the theorem of normal correlation. The statistical hypotheses verification problem is formulated in the classification of evolutionary processes, which determine the dynamics of the predictable component. The method of stochastic approximation is used for classifying statistical experiments. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 127.36
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