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Cambridge University Press (9780521269124) | Econometric Modelling
Birkh User (9783034805186 / YES8313214)
Cambridge University Press (9780521874229) | Game theory
(9781403902085)
(9780333915707)
Wiley (9781118127186) | Handbook of Market Risk
(9780230243217)
Routledge (9781138667136)
(9781137432605)
Springer (9781461427490)
Oxford University Press (9780198704379) - Fourth edition - Oxford University Press - OUP Oxford - Height: 198mm - Spine width: 32mm - Width: 265mm - ISBN: 9780198704379 - Number of pages: 744 - Languages: English
Springer-Verlag New York Inc. (9781489986313) | Stochastic Optimal Control
(9780470711095) - Height: 240 mm - Spine width: 24 mm - Width: 166 mm - John Wiley & Sons, Inc. - Wiley - ISBN: 9780470711095 - Number of pages: 354 - Languages: English - Weight: 676 g
Profile Books(GB) (9781781257449) | Pocket World in Figures
(9780521017039 / unknown) | Economic Dynamics
(9781788161145 / 32043721)
Springer (9783642082429)
McGraw-Hill Education (9780078020520)
Chapman and Hall/CRC (9781498726061)
(9781138203334) - Height: 163 mm - Spine width: 16 mm - Width: 242 mm - Routledge - Taylor and Francis - ISBN: 9781138203334 - Number of pages: 224 - Languages: English - Publication date: 25 Oct 2018
Cambridge University Press (9781107620261)
Chapman and Hall/CRC (9780367143985)
(9781498727983) - Li-Chun Zhang | Statistical analysis, Analysis of Integrated, Entity ambiguity, Statistical inference, Target population
Food & Agriculture Organization of the United Nations (FAO) (9789250049793)
Harry F Campbell (9780521528986)
Chapman and Hall/CRC (9781439800218) | ROC Curves
(9781138308770) - Height: 163 mm - Spine width: 21 mm - Width: 240 mm - Auerbach - Taylor and Francis - ISBN: 9781138308770 - Number of pages: 240 - Languages: English - Publication date: 30 Oct 2018
Springer International Publishing AG (9783319144351 / 54 black & white illustrations, 54 colou)
Cengage Learning (9780324376289) | Abbreviated Edition
(9780521634809)
John Wiley & Sons (9780470013212)
Explore advanced numerical methods for stochastic differential equations, covering theory, algorithms, and applications in finance, physics, and biology. This comprehensive guide blends rigorous analysis with practical implementation, featuring MATLAB examples and convergence proofs to equip researchers and practitioners.