Sprache: Englisch
Verlag: Cambridge University Press, 2021
ISBN 10: 1108789986 ISBN 13: 9781108789981
Anbieter: WorldofBooks, Goring-By-Sea, WS, Vereinigtes Königreich
EUR 14,17
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Sprache: Englisch
Verlag: Cambridge University Press, 2021
ISBN 10: 1108789986 ISBN 13: 9781108789981
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 49,18
Anzahl: 1 verfügbar
In den WarenkorbZustand: New. pp. 200.
Sprache: Englisch
Verlag: Cambridge University Press, 2020
ISBN 10: 1108789986 ISBN 13: 9781108789981
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 57,70
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 200 pages. 9.50x6.50x0.75 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2020
ISBN 10: 1108789986 ISBN 13: 9781108789981
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 82,71
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 200 pages. 9.50x6.50x0.75 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2020
ISBN 10: 1108789986 ISBN 13: 9781108789981
Anbieter: moluna, Greven, Deutschland
EUR 64,94
Anzahl: Mehr als 20 verfügbar
In den WarenkorbKartoniert / Broschiert. Zustand: New. Assuming only an undergraduate-level background in mathematics, this book explains the power of thinking probabilistically through a diverse set of applications drawn from science. It covers a wide range of topics never before discussed together in a unifie.
Sprache: Englisch
Verlag: Cambridge University Press Feb 2021, 2021
ISBN 10: 1108789986 ISBN 13: 9781108789981
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - Probability theory has diverse applications in a plethora of fields, including physics, engineering, computer science, chemistry, biology and economics. This book will familiarize students with various applications of probability theory, stochastic modeling and random processes, using examples from all these disciplines and more. The reader learns via case studies and begins to recognize the sort of problems that are best tackled probabilistically. The emphasis is on conceptual understanding, the development of intuition and gaining insight, keeping technicalities to a minimum. Nevertheless, a glimpse into the depth of the topics is provided, preparing students for more specialized texts while assuming only an undergraduate-level background in mathematics. The wide range of areas covered - never before discussed together in a unified fashion - includes Markov processes and random walks, Langevin and Fokker-Planck equations, noise, generalized central limit theorem and extreme values statistics, random matrix theory and percolation theory.