Independent Random Sampling Methods (Hardcover, 1st ed. 2018)

This book systematically addresses the design and analysis of efficient techniques for independent random sampling. Both general-purpose approaches, which can be used to generate samples from arbitrary probability distributions, and tailored techniques, designed to efficiently address common real-world practical problems, are introduced and discussed in detail. In turn, the monograph presents fundamental results and methodologies in the field, elaborating and developing them into the latest techniques. The theory and methods are illustrated with a varied collection of examples, which are discussed in detail in the text and supplemented with ready-to-run computer code. The main problem addressed in the book is how to generate independent random samples from an arbitrary probability distribution with the weakest possible constraints or assumptions in a form suitable for practical implementation. The authors review the fundamental results and methods in the field, address the latest methods, and emphasize the links and interplay between ostensibly diverse techniques.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Statistics and Computing
Release date:	April 2018
First published:	2018
Authors:	Luca Martino • David Luengo • Joaquin Miguez
Dimensions:	235 x 155 x 23mm (L x W x T)
Format:	Hardcover
Pages:	280
Edition:	1st ed. 2018
ISBN-13:	978-3-319-72633-5
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software Promotions
LSN:	3-319-72633-1
Barcode:	9783319726335

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