Structural and Statistical Problems for a Class of Stochastic Processes : The First Samuel Stanley Wilks Lecture at Princeton University, March 7, 1970

Language: English

Published by Princeton University Press, 2017

069165459X / 9780691654591

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nach der Bestellung gedruckt Neuware - Printed after ordering - Professor Cramer, author of the pivotal Mathematical Methods of Statistics (1946), examines problems in the theory of stochastic processes that can be considered as generalizations of problems in the classical theory of statistical inference. He discusses first the representation formula and then treats its application to the multiplicity problem, classes of processes with multiplicity N= 1, normal or Gaussian processes. He concludes with a discussion of problems of estimation for a normal process. A distinguished mathematician, Harald Cramer has been President of the University of Stockholm and Chancellor of the Swedish Universities. He is a member of many professional societies, including the Royal Swedish Academy of Science and the American Academy of Arts and Sciences.Originally published in 1971.The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.…

Seller Inventory # 9780691654591

Title
Structural and Statistical Problems for a Class of Stochastic Processes : The First Samuel Stanley Wilks Lecture at Princeton University, March 7, 1970
Author
Harald Cramér
Publisher
Princeton University Press
Publication year
2017
Condition
Neu
Binding
Buch
Language
English
ISBN 10
069165459X
ISBN 13
9780691654591
Item weight
226 grams
Dimensions
240x161x7 mm

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