Verlag: Amer Mathematical Society, 2005
ISBN 10: 082183746X ISBN 13: 9780821837467
Sprache: Englisch
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 71,45
Anzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. reprint edition. 529 pages. 9.50x6.25x1.50 inches. In Stock.
Verlag: MP-AMM American Mathematical, 2005
ISBN 10: 082183746X ISBN 13: 9780821837467
Sprache: Englisch
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
EUR 81,28
Anzahl: 1 verfügbar
In den WarenkorbHRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Verlag: American Mathematical Society, 2005
ISBN 10: 082183746X ISBN 13: 9780821837467
Sprache: Englisch
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. Presents an introduction to probability and statistics. This book covers topics that include the axiomatic setup of probability theory, polynomial distribution, finite Markov chains, distribution functions and convolution, the laws of large numbers (weak and strong), characteristic functions, the central limit theorem, and Markov processes. Series: AMS Chelsea Publishing. Num Pages: 529 pages. BIC Classification: PBT. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Weight in Grams: 891. . 2005. Reprint. Hardcover. . . . . Books ship from the US and Ireland.
Verlag: American Mathematical Society, 2005
ISBN 10: 082183746X ISBN 13: 9780821837467
Sprache: Englisch
Anbieter: moluna, Greven, Deutschland
Gebunden. Zustand: New. Presents an introduction to probability and statistics. This book covers topics that include the axiomatic setup of probability theory, polynomial distribution, finite Markov chains, distribution functions and convolution, the laws of large numbers (weak an.
Verlag: American Mathematical Society Apr 2005, 2005
ISBN 10: 082183746X ISBN 13: 9780821837467
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - Presents an introduction to probability and statistics. This book covers topics that include the axiomatic setup of probability theory, polynomial distribution, finite Markov chains, distribution functions and convolution, the laws of large numbers (weak and strong), characteristic functions, the central limit theorem, and Markov processes.