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OverviewThis volume is a revised and enlarged version of Chapters 1 and 2 of a book with the same title, published in Romanian in 1968. The revision resulted in a new book which has been divided into two parts because of the large amount of new material. The present part is intended to introduce mathematicians and biologists with a strong mathematical and probabilistic background to the study of stochastic processes. We hope some readers will be able to discover by themselves the new features of our treatment such as the inclusion of some unusual topics, the special attention paid to some usual topics, and the grouping of the material. We draw the reader's attention to the numbering, because there are structural differences between the two parts. In Part I there are Chapters, Sections, Subsections, Paragraphs and Subparagraphs. Thus the numbering a. b. c. d. e refers to Subparagraph e of Paragraph d of Subsection c of Section b of Chapter a. Definitions, theorems lemmas and propositions are numbered a. b. n, n = 1,2, . . . , where a indicates the chapter and b the section. In Part II there are Sections, Subsections, Paragraphs, and SUbparagraphs. Thus the numbering a. b. c. d refers to Subparagraph d of Paragraph c of Subsection b of Section a. Theorems and lemmas are numbered a. n, n = 1, 2, . . . , where a indicates the section. Full Product DetailsAuthor: Marius Iosifescu , P. TautuPublisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K Edition: Softcover reprint of the original 1st ed. 1973 Volume: 3 Dimensions: Width: 15.50cm , Height: 1.70cm , Length: 23.50cm Weight: 0.505kg ISBN: 9783642807527ISBN 10: 3642807526 Pages: 332 Publication Date: 28 January 2012 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of Contents1 Discrete parameter stochastic processes.- 1.1. Denumerable Markov chains.- 1.2. Noteworthy classes of denumerable Markov chains.- 1.3. Markov chains with arbitrary state space.- References.- 2 Continuous parameter stochastic processes.- 2.1. Some general problems.- 2.2. Processes with independent increments.- 2.3. Markov processes.- References.- Notation index.- Author index.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |