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Description du livre Soft Cover. Etat : new. N° de réf. du vendeur 9781441920249
Description du livre Etat : New. N° de réf. du vendeur ABLIING23Mar2411530293829
Description du livre Paperback. Etat : New. N° de réf. du vendeur 6666-IUK-9781441920249
Description du livre Etat : New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. N° de réf. du vendeur ria9781441920249_lsuk
Description du livre Etat : New. Book is in NEW condition. N° de réf. du vendeur 1441920242-2-1
Description du livre Etat : New. New! This book is in the same immaculate condition as when it was published. N° de réf. du vendeur 353-1441920242-new
Description du livre Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This comprehensive text gives an interesting and useful blend of the mathematical, probabilistic and statistical tools used in heavy-tail analysis. It is uniquely devoted to heavy-tails and emphasizes both probability modeling and statistical methods for fitting models.Prerequisites for the reader include a prior course in stochastic processes and probability, some statistical background, some familiarity with time series analysis, and ability to use a statistics package. This work will serve second-year graduate students and researchers in the areas of applied mathematics, statistics, operations research, electrical engineering, and economics. 424 pp. Englisch. N° de réf. du vendeur 9781441920249
Description du livre Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days. N° de réf. du vendeur C9781441920249
Description du livre Paperback. Etat : Brand New. 425 pages. 7.80x5.12x1.00 inches. In Stock. N° de réf. du vendeur x-1441920242
Description du livre Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This comprehensive text gives an interesting and useful blend of the mathematical, probabilistic and statistical tools used in heavy-tail analysis. It is uniquely devoted to heavy-tails and emphasizes both probability modeling and statistical methods for fitting models.Prerequisites for the reader include a prior course in stochastic processes and probability, some statistical background, some familiarity with time series analysis, and ability to use a statistics package. This work will serve second-year graduate students and researchers in the areas of applied mathematics, statistics, operations research, electrical engineering, and economics. N° de réf. du vendeur 9781441920249