Numerical Methods for Nonlinear Estimating Equations

Zusatztext This book provides a comprehensive study of the solution of non-linear estimating equations arising in statistical inference. Informationen zum Autor Christopher G. Small is a Professor of Statistics at the University of Waterloo, Canada, andhas been Canada's official representative and Team Leader for the InternationalMathematical Olympiad in Taiwan (1998) and Washington (2000).Jinfang Wang is an Associate Professor in Obihiro University. Klappentext This book provides a comprehensive study of nonlinear estimating equations and artificial likelihoods for statistical inference. It includes a variety of examples from practical applications and is ideal for research statisticians and advanced graduate students. Zusammenfassung This book provides a comprehensive study of nonlinear estimating equations and artificial likelihoods for statistical inference. It includes a variety of examples from practical applications and is ideal for research statisticians and advanced graduate students. Introduction; Estimating functions; Numerical algorithms; Working with roots; Methodologies for root selection; Artificial likelihoods and estimating functions; Root selection and dynamical systems; Bayesian estimating functions; Bibliography; Index

Dettagli sul prodotto

• Autori: Christopher G. Small, Christopher G. ( Department of Statistics and Actuarial Science University of Waterloo Waterloo Small, Christopher G. (Department of Statistics an Small, Christopher G. Wang Small, Small Christopher G., Jinfang Wang, Jinfang (School of Agriculture Obihiro University of Agriculture and Veterinary Medicine Inada-cho Wang, Wang Jinfang
• Editore: Oxford University Press
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 01.11.2003
• EAN: 9780198506881
• ISBN: 978-0-19-850688-1
• Pagine: 324
• Serie: Oxford Statistical Science Series; Oxford Statistical Science; Oxford Statistical Science Series; Oxford Statistical Science
• Categorie: Scienze naturali, medicina, informatica, tecnica > Matematica; MATHEMATICS / Probability & Statistics / General, MATHEMATICS / Linear & Nonlinear Programming, Probability & statistics, Nonlinear science, Probability and statistics