摘要:

Given a sequence of i.i.d. random variables the convergence of kernel-type sequential estimators of their common density function is studied. This throws light on the usefulness of such estimators. The results are also extended to the case when the sample size is random.

ISSN:0747-4946    

DOI:10.1080/07474948908836172

出版商:Marcel Dekker, Inc.    

年代:1989

数据来源: Taylor

摘要:

A sequential probability ratio test based on the number of arrivals Xnduring the nthservice period for M/Ek/l queue is proposed to regulate the traffic intensity. Based on observations Xn, the formulas for operating characteristic and average sample number functions are derived. A numerical example of the implementation of the method is given, and its advantages relative to alternative approaches are discussed.

ISSN:0747-4946    

DOI:10.1080/07474948908836173

出版商:Marcel Dekker, Inc.    

年代:1989

数据来源: Taylor

摘要:

In the present paper exponential type random processes which start from random state and/or time are considered. All efficient sequential plans are determined.

ISSN:0747-4946    

DOI:10.1080/07474948908836174

出版商:Marcel Dekker, Inc.    

年代:1989

数据来源: Taylor

摘要:

Lerche (1986) investigated a sequential testing problem concerned with deciding the sign of a normal mean. He demonstrated that a parabolic boundary which corresponds to

ISSN:0747-4946    

DOI:10.1080/07474948908836175

出版商:Marcel Dekker, Inc.    

年代:1989

数据来源: Taylor

摘要:

A bound on the order of convergence of the remainder term in the coverage probability of a fixed quantile of the survival distribution is obtained as the prescribed tolerance on the width of the interval shrinks to zero.

ISSN:0747-4946    

DOI:10.1080/07474948908836176

出版商:Marcel Dekker, Inc.    

年代:1989

数据来源: Taylor

摘要:

In a clinical trial of two treatments, one goal of the experimenter is to design an experiment such that the number of patients assigned to the inferior treatment is minimized. A Bayesian formulation for this problem is studied. Treatment outcomes are assumed to be independent and normally distributed, with conjugate priors. The analysis is conducted in a large sample limit where sampling costs are scaled to zero. First we show there is little harm in restricting attention to procedures that stop according to Kiefer and Sacks stopping rule. There are procedures in this class with risks that exceed the minimum Bayes risk by the cost of a fixed number of observations. Using this we then develop fully efficient procedures with risks asymptotic to the minimum Bayes risk in our large sample limit. A Monte Carlo study indicates that these procedures perform better than the pairwise procedure.

ISSN:0747-4946    

DOI:10.1080/07474948908836177

出版商:Marcel Dekker, Inc.    

年代:1989

数据来源: Taylor

ISSN:0747-4946    

DOI:10.1080/07474948908836171

出版商:Marcel Dekker, Inc.    

年代:1989

数据来源: Taylor