Optimization Techniques in Statistics - Rilegato

Rustagi, Jagdish S.

Rilegato

ISBN 10: 0126045550 ISBN 13: 9780126045550

Casa editrice: Academic Pr, 1994

Riassunto

Statistics help guide us to optimal decisions under uncertainty. A large variety of statistical problems are essentially solutions to optimization problems. The mathematical techniques of optimization are fundamentalto statistical theory and practice. In this book, Jagdish Rustagi provides full-spectrum coverage of these methods, ranging from classical optimization and Lagrange multipliers, to numerical techniques using gradients or direct search, to linear, nonlinear, and dynamic programming using the Kuhn-Tucker conditions or the Pontryagin maximal principle. Variational methods and optimization in function spaces are also discussed, as are stochastic optimization in simulation, including annealing methods.The text features numerous applications, including:Finding maximum likelihood estimatesMarkov decision processesProgramming methods used to optimize monitoring of patients in hospitalsDerivation of the Neyman-Pearson lemmaThe search for optimal designsSimulation of a steel millSuitable as both a reference and a text, this book will be of interest to advanced undergraduate or beginning graduate students in statistics, operations research, management and engineering sciences, and related fields. Most of the material can be covered in one semester by students with a basic background in probability and statistics.

Dettagli dell?edizione

• Editore: Academic Pr
• Data di pubblicazione: 1994
• Lingua: Inglese
• ISBN 10: 0126045550
• ISBN 13: 9780126045550
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 359
• Contatto del produttore: non disponibile