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Probability Theory Foundational Course by Pakshirajan (4 results)
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Probability Theory-A Foundational Course
Published by Hindustan Book Agency, 2013
ISBN 10: 9380250444 ISBN 13: 9789380250441
Language: English
Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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US$ 14.17
Convert currencyUS$ 24.40 shipping from India to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: New. ISBN:9789380250441.
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Probability Theory - A Foundational Course
Published by Hindustan Book Agency, 2013
ISBN 10: 9380250444 ISBN 13: 9789380250441
Language: English
US$ 143.71
Convert currencyUS$ 81.32 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketBuch. Condition: Neu. Probability Theory - A Foundational Course | R. P. Pakshirajan | Buch | Texts and Readings in Mathematics | Einband - fest (Hardcover) | Englisch | 2013 | Hindustan Book Agency | EAN 9789380250441 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Probability theory : A Foundational Course
Published by Hindustan Book Agency Jan 2013, 2013
ISBN 10: 9380250444 ISBN 13: 9789380250441
Language: English
US$ 162.45
Convert currencyUS$ 76.11 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketBuch. Condition: Neu. Neuware - This book shares the dictum of J. L. Doob in treating Probability Theory as a branch of Measure Theory and establishes this relation early. Probability measures in product spaces are introduced right at the start by way of laying the ground work to later claim the existence of stochastic processes with prescribed finite dimensional distributions. Other topics analysed in the book include supports of probability measures, zero-one laws in product measure spaces, Erdos-Kac invariance principle, functional central limit theorem and functional law of the iterated logarithm for independent variables, Skorohod embedding, and the use of analytic functions of a complex variable in the study of geometric ergodicity in Markov chains. This book is offered as a text book for students pursuing graduate programs in Mathematics and or Statistics. The book aims to help the teacher present the theory with ease, and to help the student sustain his interest and joy in learning the subject.
