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03277nam a22004695i 4500 |
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978-0-387-22756-6 |
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DE-He213 |
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20151204173926.0 |
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cr nn 008mamaa |
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100301s1998 xxu| s |||| 0|eng d |
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|a 9780387227566
|9 978-0-387-22756-6
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|a 10.1007/b98894
|2 doi
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|d GrThAP
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|a QA276-280
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|a PBT
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|a MAT029000
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|a 519.5
|2 23
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|a Rachev, Svetlozar T.
|e author.
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|a Mass Transportation Problems
|h [electronic resource] :
|b Volume II: Applications /
|c by Svetlozar T. Rachev, Ludger Rüschendorf.
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|a New York, NY :
|b Springer New York,
|c 1998.
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| 300 |
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|a XXVI, 430 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Probability and its Applications, A Series of the Applied Probability Trust,
|x 1431-7028
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|a Modifications of the Monge-Kantorovich Problems: Transportation Problems with Relaxed or Additional Constraints -- Application of Kantorovich-Type Metrics to Various Probabilistic-Type Limit Theorems -- Mass Transportation Problems and Recursive Stochastic Equations -- Stochastic Differential Equations and Empirical Measures.
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|a This is the first comprehensive account of the theory of mass transportation problems and its applications. In volume I, the authors systematically develop the theory of mass transportation with emphasis to the Monge-Kantorovich mass transportation and the Kantorovich-Rubinstein mass transshipment problems, and their various extensions. They discuss a variety of different approaches towards solutions of these problems and exploit the rich interrelations to several mathematical sciences--from functional analysis to probability theory and mathematical economics. The second volume is devoted to applications to the mass transportation and mass transshipment problems to topics in applied probability, theory of moments and distributions with given marginals, queucing theory, risk theory of probability metrics and its applications to various fields, amoung them general limit theorems for Gaussian and non-Gaussian limiting laws, stochastic differential equations, stochastic algorithms and rounding problems. The book will be useful to graduate students and researchers in the fields of theoretical and applied probabilitry, operations research, computer science, and mathematical economics. The prerequisites for this book are graduate level probability theory and real and functional analysis.
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| 650 |
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|a Statistics.
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| 650 |
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|a Probabilities.
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| 650 |
1 |
4 |
|a Statistics.
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| 650 |
2 |
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|a Statistics, general.
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| 650 |
2 |
4 |
|a Probability Theory and Stochastic Processes.
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| 700 |
1 |
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|a Rüschendorf, Ludger.
|e author.
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| 710 |
2 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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| 776 |
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8 |
|i Printed edition:
|z 9780387983523
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| 830 |
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|a Probability and its Applications, A Series of the Applied Probability Trust,
|x 1431-7028
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| 856 |
4 |
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|u http://dx.doi.org/10.1007/b98894
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-SMA
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| 912 |
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|a ZDB-2-BAE
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| 950 |
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|a Mathematics and Statistics (Springer-11649)
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