Robust Estimates of Location

Survey and Advances

David F. Andrews, Frank R. Hampel (Autoren)

Buch | Hardcover

384 Seiten

2016
Princeton University Press (Verlag)
978-0-691-64663-3 (ISBN)

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Because estimation involves inferring information about an unknown quantity on the basis of available data, the selection of an estimator is influenced by its ability to perform well under the conditions that are assumed to underlie the data. Since these conditions are never known exactly, the estimators chosen must be robust; i.e., they must be able to perform well under a variety of underlying conditions. The theory of robust estimation is based on specified properties of specified estimators under specified conditions. This book was written as the result of a study undertaken to establish the interaction of these three components over as large a range as possible. Originally published in 1972. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions.
The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.

*Frontmatter, pg. i*Preface, pg. v*Table of Contents, pg. vii*1. Introduction, pg. 1*2. Estimates, pg. 3*3. Asymptotic Characteristics of the Estimates, pg. 29*4. Finite-Sample Calculations, pg. 55*5. Properties, pg. 64*6. A Detailed Analysis of the Variances, pg. 116*7. General Discussion, pg. 222*11. Programs of the Estimates, pg. 261*12. Random Number Generation-Details, pg. 306*13. Dual-Criterion Problems in Estimation, pg. 310*14. Integration Formulas, More or Less Replacement for Monte Carlo, pg. 334*15. Monte Carlo for Contaminated Gaussians, pg. 349*References, pg. 369

Erscheinungsdatum	27.05.2016
Reihe/Serie	Princeton Legacy Library
Verlagsort	New Jersey
Sprache	englisch
Maße	178 x 254 mm
Gewicht	879 g
Themenwelt	Mathematik / Informatik ► Mathematik
ISBN-10	0-691-64663-5 / 0691646635
ISBN-13	978-0-691-64663-3 / 9780691646633
Zustand	Neuware