Год выпуска: 2010 Автор: Mehper Cihangir Palavuzlar Издательство: LAP Lambert Academic Publishing Страниц: 168 ISBN: 9783838362083
Описание
A simulation that has any random aspects involves sampling, or generating random variates from probability distributions. There are situations in the practice of statistical research where continuous distributions are not characterized by their density or cumulative distribution function. Constructing such algorithms is a special problem of random variate generation. The objective of this work is to implement, test and improve these algorithms. It is investigated whether such algorithms in the literature can be used in practice, namely, in simulation. In the first part, the book provides a basic introduction to random variate generation. Then the testing methods for random variate generation algorithms used in this book are formulated. Afterwards, it is described how to generate random variates if only the Fourier coefficients of the desired distribution are known. It then deals with generating random variates from a distribution where just a few moments are known. The next part...
