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Statistical Analysis of Counting Processes

Jezik AngleščinaAngleščina
Knjiga Mehka
Knjiga Statistical Analysis of Counting Processes M. Jacobsen
Koda Libristo: 02170940
Založba Springer-Verlag New York Inc., november 1982
A first version of these lecture notes was prepared for a course given in 1980 at the University of... Celoten opis
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A first version of these lecture notes was prepared for a course given in 1980 at the University of Copenhagen to a class of graduate students in mathematical statistics. A thorough revision has led to the result presented here. The main topic of the notes is the theory of multiplicative intens ity models for counting processes, first introduced by Odd Aalen in his Ph.D. thesis from Berkeley 1975, and in a subsequent fundamental paper in the Annals of Statistics 1978. In Copenhagen the interest in statistics on counting processes was sparked by a visit by Odd Aalen in 1976. At present the activities here are centered around Niels Keiding and his group at the Statistical Re search Unit. The Aalen theory is a fine example of how advanced probability theory may be used to develop a povlerful, and for applications very re levant, statistical technique. Aalen's work relies quite heavily on the 'theorie generale des processus' developed primarily by the French school of probability the ory. But the general theory aims at much more general and profound re sults, than what is required to deal with objects of such a relatively simple structure as counting processes on the line. Since also this process theory is virtually inaccessible to non-probabilists, it would appear useful to have an account of what Aalen has done, that includes exactly the amount of probability required to deal satisfactorily and rigorously with statistical models for counting processes.

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O knjigi

Polni naslov Statistical Analysis of Counting Processes
Avtor M. Jacobsen
Jezik Angleščina
Vezava Knjiga - Mehka
Datum izida 1982
Število strani 228
EAN 9780387907697
ISBN 0387907696
Koda Libristo 02170940
Teža 367
Mere 155 x 235 x 12
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