Buch, Englisch, 127 Seiten, Format (B × H): 168 mm x 240 mm, Gewicht: 248 g
Buch, Englisch, 127 Seiten, Format (B × H): 168 mm x 240 mm, Gewicht: 248 g
Reihe: Synthesis Lectures on Mathematics & Statistics
ISBN: 978-3-031-43715-1
Verlag: Springer Nature Switzerland
This book is devoted to the study of multivariate discrete q-distributions, which is greatly facilitated by existing multivariate q-sequences and q-functions. Classical multivariate discrete distributions are defined on a sequence of independent and identically distributed Bernoulli trials, with either being a success of a certain rank (level) or a failure. The author relaxes the assumption that the probability of success of a trial is constant by assuming that it varies geometrically with the number of trials and/or the number of successes. The latter is advantageous in the sense that it permits incorporating the experience gained from the previous trials and/or successes, which leads to multivariate discrete -distributions. Furthermore, -multinomial and negative -multinomial formulae are obtained. Next, the book addresses -multinomial and negative -multinomial distributions of the first and second kind. The author also examines multiple -Polya urn model, multivariate -Polya and inverse -Polya distributions.
- Presents definitions and theorems that highlight key concepts and worked examples to illustrate the various applications
- Contains numerous exercises at varying levels of difficulty that consolidate the presented concepts and results
- Includes hints and answers to all exercises via the appendix and is supplemented with an Instructor's Solution Manual
Zielgruppe
Graduate
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Stochastik Stochastische Prozesse
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
- Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
- Mathematik | Informatik Mathematik Mathematik Allgemein Diskrete Mathematik, Kombinatorik
Weitere Infos & Material
Preface.- Multivariate -Combinatorics and -Hypergeometric Series.- Multivariate -Distributions.- Appendix: Hints and Answers to Exercises.- Bibliography.- Index.