9783030286644 - stochastic models, statistics and their applications: dresden, germany, march 2019 (springer proceedings in mathematics & statistics, 294, band 294) (2 Ergebnisse)
Sprache: Englisch
Verlag: Cham, Springer., 2019
Serie: Springer Proceedings in Mathematics & Statistics, Buch 293 von 464. Buch 293 von 464 - Springer Proceedings in Mathematics & Statistics
- Hardcover
Anbieter: Universitätsbuchhandlung Herta Hold GmbH, Berlin, DeutschlandUniversitätsbuchhandlung Herta Hold GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 4 SternenZustand: Gebraucht
EUR 17,00
EUR 30,00 VersandVersand von Deutschland nach USAAnzahl: 2 verfügbar
235 mm x 155 mm. XVI, 450 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Springer Proceedings in Mathematics & Statistics. Volu…me 294. Sprache: Englisch.
Sprache: Englisch
Verlag: Springer International Publishing, 2019
Serie: Springer Proceedings in Mathematics & Statistics, Buch 293 von 464. Buch 293 von 464 - Springer Proceedings in Mathematics & Statistics
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 160,49
EUR 64,74 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume presents selected and peer-reviewed contributions from the 14thWorkshop on Stochastic Models, Statistics and Their Applications, held in Dresden, Germany, on March 6-8, 2019. Addressing the needs of theoretical and applied researchers alike, the… contributions provide an overview of the latest advances and trends in the areas of mathematical statistics and applied probability, and their applications to high-dimensional statistics, econometrics and time series analysis, statistics for stochastic processes, statistical machine learning, big data and data science, random matrix theory, quality control, change-point analysis and detection, finance, copulas, survival analysis and reliability, sequential experiments, empirical processes, and microsimulations. As the book demonstrates, stochastic models and related statistical procedures and algorithms are essential to more comprehensively understanding and solving present-day problems arising in e.g.the natural sciences, machine learning, data science, engineering, image analysis, genetics, econometrics and finance.
