Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 7-Day Trial for You or Your Team.

Learn More →

Exploring the Limits of Bootstrap

Exploring the Limits of Bootstrap BOOK REVIEWS 215 Simulation: a Statistical Perspective 1. KLEIJNEN AND W. VAN GROENENWALD, 1992 Chichester, Wiley x+242 pp., £16.50 ISBN 0 471 93055 5 This book is aimed at readers who wish to learn the basics of simulation. To derive the most out of it, the reader needs some knowledge of computing, mathematics and statistics. Some familiarity with economics, business administration and operational research is also desirable since most of the examples and case-studies come from these areas. Chapter 1 is an example-driven introduction. The next two chapters feature standard material on the generation of random numbers and sampling from non-uniform distributions. There is some discussion here of simulation routines in Numerical Algorithms Group, International Mathematical and Statistical Libraries and other packages or libraries. Chapter 4 is entitled 'Economic and corporate models'. Some prior knowledge of economics would be helpful here, though the material covered does not impinge on later chapters. Chapter 5 introduces simulation in operational research, mainly via inventory and queuing models. A survey of simulation software is given in Chapter 6. The next chapter illustrates a statistical application, namely the selection of a 'good' estimator in regression analysis. In Chapter 8 regression metamodels are introduced to http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of the Royal Statistical Society Series D: The Statistician Oxford University Press

Exploring the Limits of Bootstrap

Download PDF
2 pages

Loading next page...
 
/lp/oxford-university-press/exploring-the-limits-of-bootstrap-CF42YAqNxb

References (0)

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Publisher
Oxford University Press
Copyright
© 1994 Royal Statistical Society
ISSN
2515-7884
eISSN
1467-9884
DOI
10.2307/2348962
Publisher site
See Article on Publisher Site

Abstract

BOOK REVIEWS 215 Simulation: a Statistical Perspective 1. KLEIJNEN AND W. VAN GROENENWALD, 1992 Chichester, Wiley x+242 pp., £16.50 ISBN 0 471 93055 5 This book is aimed at readers who wish to learn the basics of simulation. To derive the most out of it, the reader needs some knowledge of computing, mathematics and statistics. Some familiarity with economics, business administration and operational research is also desirable since most of the examples and case-studies come from these areas. Chapter 1 is an example-driven introduction. The next two chapters feature standard material on the generation of random numbers and sampling from non-uniform distributions. There is some discussion here of simulation routines in Numerical Algorithms Group, International Mathematical and Statistical Libraries and other packages or libraries. Chapter 4 is entitled 'Economic and corporate models'. Some prior knowledge of economics would be helpful here, though the material covered does not impinge on later chapters. Chapter 5 introduces simulation in operational research, mainly via inventory and queuing models. A survey of simulation software is given in Chapter 6. The next chapter illustrates a statistical application, namely the selection of a 'good' estimator in regression analysis. In Chapter 8 regression metamodels are introduced to

Journal

Journal of the Royal Statistical Society Series D: The Statistician – Oxford University Press

Published: Dec 5, 2018

There are no references for this article.