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Heavy-tail phenomena : probabilistic and statistical modeling / par Resnick, Sidney I. Publication : [S.l.] : Springer, 2006 . 406 p. ; , This comprehensive text  gives an interesting  and useful blend  of the mathematical, probabilistic and statistical tools used in heavy-tail analysis.  Heavy tails are characteristic of many  phenomena where the probability of a single huge value impacts heavily.  Record-breaking insurance losses,  financial-log returns, files sizes stored on a server, transmission rates of files are all examples of  heavy-tailed phenomena. Key features: * Unique  text devoted to heavy-tails * Emphasizes both probability modeling and statistical methods for fitting models.   Most  treatments focus on one or the other but not both * Presents broad applicability  of heavy-tails to the fields of data networks, finance (e.g., value-at- risk), insurance, and hydrology * Clear, efficient and coherent exposition, balancing  theory and actual data to show the applicability and limitations of certain methods * Examines in detail the mathematical properties of the methodologies as well as their implementation in  Splus or R statistical languages * Exposition driven by numerous examples and exercises 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 (or at least to learn) a statistics package such as R or Splus. This work will serve second-year graduate students and researchers in the areas of applied mathematics, statistics, operations research, electrical engineering, and economics. 24 cm. Date : 2006 Disponibilité : Exemplaires disponibles: La bibliothèque des Sciences Exactes et Naturelles (1),

Mathematical methods in risk theory / par Bþhlmann,, Hans. Publication : [S.l.] : Springer, 1996 . 210 pages ; , From the reviews: "The huge literature in risk theory has been carefully selected and supplemented by personal contributions of the author, many of which appear here for the first time. The result is a systematic and very readable book, which takes into account the most recent developments of the field. It will be of great interest to the actuary as well as to the statistician who wants to become familiar with the subject." Math. Reviews Vol. 43 "It is a book of fundamental importance for all interested in the application or teaching of the subject and a significant addition to the literature." Journal of the Royal Statistical Society (England) 1971 " This latest addition to the literature of risk theory is a masterful work.." Transactions, Soc of Actuaries meetings 65. 24 cm. Date : 1996 Disponibilité : Exemplaires disponibles: La bibliothèque des Sciences Juridiques, Economiques et de Gestion (1),

Mathématiques et risques financiers / par Bouleau, Nicolas. Publication : Paris : Odile Jacob, 2009 . 265 pages : 22 cm. Date : 2009 Disponibilité : Exemplaires disponibles: La bibliothèque des Sciences Juridiques, Economiques et de Gestion (1),

The Interval Market Model in Mathematical Finance Game-Theoretic Methods / par Bernhard, Pierre. Publication : . XVI, 348 p. Disponibilité :  http://dx.doi.org/10.1007/978-0-8176-8388-7,

Functionals of Multidimensional Diffusions with Applications to Finance par Baldeaux, Jan. Publication : . XXIII, 425 p. Disponibilité :  http://dx.doi.org/10.1007/978-3-319-00747-2,

Robustness in Statistical Forecasting par Kharin, Yuriy. Publication : . XVI, 356 p. 47 illus. Disponibilité :  http://dx.doi.org/10.1007/978-3-319-00840-0,

Interest Rate Derivatives Valuation, Calibration and Sensitivity Analysis / par Beyna, Ingo. Publication : . XVIII, 209 p. 33 illus. Disponibilité :  http://dx.doi.org/10.1007/978-3-642-34925-6,

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