Symbolic Computation for Statistical Inference

Klappentext The development of statistical computing has had a huge impact on the subject, freeing statisticians from the need to perform tedious calculations and allowing researchers to perform progressively more complex operations. This book gives a coherent presentation of the theory underlying the computations, and provides a framework where computer algorithms are used to do much of the calculation inherent in statistics. Beginning with an outline of algorithms to cover much of an undergraduate course in probability and statistics, it then goes on to discuss various common distributions, likelihood, bootstrap and sampling. Zusammenfassung A summary of research into the use of symbolic computation applied to statistical inference problems, showing the potential of the subject to automate statistical calculation. The text begins with algorithms for undergraduate problems and moves on to more powerful tools and applications. Inhaltsverzeichnis 1: Introduction 2: Probability and random variables 3: Fundamental procedures 4: Asymptotic expansions 5: Expansions of expectations, cumulants, and unbiased estimates 6: Expansions of distributions 7: Expansions for likelihood quantities 8: The analytic bootstrap 9: Sample surveys 10: Intersection matrices

Product details

• Authors: D F Andrews, D. F. Andrews, D.f. Stafford Andrews, J E Stafford, J E H Stafford, J. E. Stafford, J. E. H. Stafford
• Publisher: Oxford University Press
• Languages: English
• Product format: Hardback
• Released: 29.06.2000
• EAN: 9780198507055
• ISBN: 978-0-19-850705-5
• No. of pages: 172
• Series: Oxford Statistical Science Series; Oxford Statistical Science Ser; Oxford Statistical Science Series; Oxford Statistical Science
• Subject: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics