By Hermann Thorisson

This can be a publication on coupling, together with self-contained remedies of stationarity and regeneration. Coupling is the critical subject within the first half the ebook, after which enters as a device within the latter part. the 10 chapters are grouped into 4 components.

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**Example text**

From these estimates, it is of interest to note that the values of a suggest the risk function is strictly increasing in t. 2 years for adults developing transfusion associated AIDS. One important point to keep in mind when interpreting these estimates, is that the incubation period of HIV may not have a standard definition in the literature. Sometimes, for example, it refers to the time of infection to the time at which an AIDS-defining disease is diagnosed; while in other cases, it may be the time from infection to the time a person becomes seropositive for HIV.

Hessol and W. Y. Tan, Estimating Stage-Specific Numbers of HIV Infection Using a Markov Model and Back Calculation, Statistics in Medicine 11: 831-843, 1992. 22. I. M. , W. S. Clark, and R. H. , Statistical Analysis of the Stages of HIV Infection Using a Markov Model, Statistics in Medicine 8: 831-843, 1989. 23. I. M. , W. S. Clark, L. M. Haber and R. , The Stages of HIV Infection: Waiting Times and Infection Transmis- 22 Biology and Epidemiology of HIV/AIDS sion Probabilities, Lecture Notes in Biomathematics 83: 111 -137, C.

2) for y E (0, 1). Thus (see Eq. v. Y has a uniform distribution on the interval (0, 1). v. d). v. v. X with d. f . v. X. v. Z defined by Z = F(-1) (U), with range RZ = RX. Then, it follows from Eq. f. 3) for all z E Rx. v. Z has d. f . 's X and Z are equal in distribution. In symbols, X Z. From this result, it can be seen that if one has an algorithm for computing the inverse of a d. f . d. v. v. X may be computed by using the formula X = F(-1)(U). d. v.