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Titolo:
Sequential analysis: Some classical problems and new challenges
Autore:
Lai, TL;
Indirizzi:
Stanford Univ, Dept Stat, Stanford, CA 94305 USA Stanford Univ Stanford CA USA 94305 iv, Dept Stat, Stanford, CA 94305 USA
Titolo Testata:
STATISTICA SINICA
fascicolo: 2, volume: 11, anno: 2001,
pagine: 303 - 351
SICI:
1017-0405(200104)11:2<303:SASCPA>2.0.ZU;2-C
Fonte:
ISI
Lingua:
ENG
Soggetto:
PERTURBATION GRADIENT APPROXIMATION; STOCHASTIC ADAPTIVE-CONTROL; AVERAGE CONTROL SCHEMES; CENSORED SURVIVAL-DATA; EXPECTED SAMPLE SIZE; CLINICAL-TRIALS; CONFIDENCE-INTERVALS; ASYMPTOTIC EXPANSIONS; DYNAMIC ALLOCATION; RESAMPLING METHODS;
Keywords:
change-point detection; multi-armed bandits; quality control; sequential point and interval estimation; sequential testing; stochastic approximation;
Tipo documento:
Review
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Citazioni:
198
Recensione:
Indirizzi per estratti:
Indirizzo: Lai, TL Stanford Univ, Dept Stat, Stanford, CA 94305 USA Stanford Univ Stanford CA USA 94305 Stat, Stanford, CA 94305 USA
Citazione:
T.L. Lai, "Sequential analysis: Some classical problems and new challenges", STAT SINICA, 11(2), 2001, pp. 303-351

Abstract

We give a brief review of the developments in several classical problems of sequential analysis and their applications to biomedicine, economics and engineering. Even though it can only focus on a limited number of topics, the review shows that sequential analysis is still a vibrant subject after six decades of continual development, with fresh ideas brought in from various fields of application and through interactions with other branches of statistics and prohability. We conclude with some remarks on the opportunities and challenges ahead.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 05/12/20 alle ore 14:13:57