V K ROHATGI (12 Ergebnisse)

Paperback. Zustand: Brand New. 576 pages. 9.00x6.00x1.25 inches. In Stock.

XIII/557 S./pp., Originalpappband (publisher's cardboard covers), Bibliotheksexemplar in gutem Zustand / exlibrary in good condition ( Stempel auf Titel / title stamped, Rückenschildchen / lettering pannel to the spine, Block sehr gut / contents fine, keine Unterstreichungen oder Anstreichungen / no underlining or remarks, in Folie eingeschlagen / wrapped up in foil), Sprache: englisch.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Zustand: Brand New. 334 pages. 9.25x6.25x0.76 inches. In Stock.

Zustand: Good. Edgeworn softcover with light wear & marks. Bumped corners. Tanned textblock edge. Content is in good, clean condition.

Buch. Zustand: Neu. Neuware 200 pp. Englisch.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Reduction of weak limit problems by transformations.- Characterizations of unimodal distribution functions.- Random sampling from a continuous parameter stochastic process.- On a test for goodness-of-fit based on the empirical probability measure of Foutz and testing for exponentiality.- A theorem of Deny with applications to characterization problems.- Multivariate tests of independence.- Local limit theorem for sample extremes.- On a simultaneous characterization of the poisson law and the gamma distribution.- Self-decomposable discrete distributions and branching processes.- An application of the method of moments to the central limit theorem on hyperbolic spaces.- Convergences stochastiques des processus ponctuels composes a signe.- Decomposition of probability measures on locally compact abelian groups.- Problemes classiques de probabilite sur un couple de Gelfand.- Construction of characterization theorems.- Local time and invariance.- On the rate of convergence in the central limit theorem.- Almost certain behavior of row sums of double arrays.- Extensions of Lukacs¿ characterization of the gamma distribution.- On the unimodality of infinitely divisible distribution functions II.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering.

Paperback. Zustand: Brand New. bilingual edition. 200 pages. French language. 9.25x6.10x0.46 inches. In Stock.

Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Reduction of weak limit problems by transformations.- Characterizations of unimodal distribution functions.- Random sampling from a continuous parameter stochastic process.- On a test for goodness-of-fit based on the empirical probability measure of Foutz and testing for exponentiality.- A theorem of Deny with applications to characterization problems.- Multivariate tests of independence.- Local limit theorem for sample extremes.- On a simultaneous characterization of the poisson law and the gamma distribution.- Self-decomposable discrete distributions and branching processes.- An application of the method of moments to the central limit theorem on hyperbolic spaces.- Convergences stochastiques des processus ponctuels composes a signe.- Decomposition of probability measures on locally compact abelian groups.- Problemes classiques de probabilite sur un couple de Gelfand.- Construction of characterization theorems.- Local time and invariance.- On the rate of convergence in the central limit theorem.- Almost certain behavior of row sums of double arrays.- Extensions of Lukacs' characterization of the gamma distribution.- On the unimodality of infinitely divisible distribution functions II.

Broschiert. Zustand: Gut. IX, 183 S. Das hier angebotene Buch stammt aus einer teilaufgelösten Bibliothek und kann die entsprechenden Kennzeichnungen aufweisen (Rückenschild, Instituts-Stempel.); der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 340.

Zustand: New. A well-balanced introduction to probability theory and mathematical statisticsFeaturing a comprehensive update, An Introduction to Probability and Statistics, Third Edition remains a solid overview to probability theory and mathematical statistics. Divided .