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1. |
Fixed-width confidence sequences for the normal mean and the binomial probability |
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Sequential Analysis,
Volume 17,
Issue 3-4,
1998,
Page 205-217
Rasul A. Khan,
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摘要:
Let X1,X2,...,Xn,... be iid N(μ,σ2) random variables with an unknown mean μ and known σ, and let Xn=(X1+...+Xn)/n . For a given d > 0 and 0 < α < 1 we determine a suitable m such thatso that{Xn± d, n ≥ m} is a fixed-width confidences sequences for μ . The sample size m is compared with the optimum sample size m*in the usual fixed-width confidence interval with the same coverage probability 1 - α. An almost power one test for μis also briefly discussed. A similar problem is considered for the binomial probability p, and a suitable m is determined to achievewhere [Pcirc]n, is the usual estimator for p.
ISSN:0747-4946
DOI:10.1080/07474949808836409
出版商:Marcel Dekker, Inc.
年代:1998
数据来源: Taylor
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2. |
A simulation study of stopping times in bayesian sequential multiparameter estimation |
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Sequential Analysis,
Volume 17,
Issue 3-4,
1998,
Page 219-237
Thomas C. Chenier,
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摘要:
In this paper we use simulation to examine the small sample behavior of a series of increasingly complicated stopping rules in the context of sequential estimation of a multivariate mean/regression parameter vector.This is done under a set ot hierarchical bayes models. some.but not all.of the rules are known to be he non-deficient [Ghosh and Hoekstra ('89, '95)] Thus.this study extends the work of those papers to finite sample number behavior.
ISSN:0747-4946
DOI:10.1080/07474949808836410
出版商:Marcel Dekker, Inc.
年代:1998
数据来源: Taylor
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3. |
sequential estimation of the hgarginal density function for a strongly mixing process |
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Sequential Analysis,
Volume 17,
Issue 3-4,
1998,
Page 239-251
Toshio Honda,
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摘要:
Suppose that {Xn} is a strongly mixing process with unknow marginal density f(x) and that we estimate f(x) by a kernel estimator [fcirc]n(x|hn)and want to achive the MISE no larger than some preassigned postive number w. However,the appropriate sample size n*depends on a functional of the unknow density function. Therefore some sequential procedure is required and we adopt a fully sequential procedure. In this paper we investigate the asymptotic properties of the procedure and show that the producure is asymptotically efficient in a certain sense as w→0. The results are almost the same in the i.i.d. setting. our result extend a class of models to which the methodology can be applied. For example economic variable,experiments on a single subject in which obervation are not indepent, and so on.
ISSN:0747-4946
DOI:10.1080/07474949808836411
出版商:Marcel Dekker, Inc.
年代:1998
数据来源: Taylor
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4. |
sequestial estimation of a tail probabality of an unknown distribution |
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Sequential Analysis,
Volume 17,
Issue 3-4,
1998,
Page 253-265
Alexei Dmitrienko,
Z. Govindarajulu,
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摘要:
This paper is concerned with sequential estimation of the probability of a random variable falling a specified number of standard deviations away from the mean, when the mean, the standard deviation and the underlying distribution are unknown. We consider both point and interval estimation of tail probability under some broad assumptions on the underlying distribution,we establish asymptotic collsistency of the sequential fixed-width interval procedure and risk-efficiency of the sequential point-estimation procedure. We also carry out a simulation study for the fixed-width interval estimation when the underlying distribution is normal or exponential.
ISSN:0747-4946
DOI:10.1080/07474949808836412
出版商:Marcel Dekker, Inc.
年代:1998
数据来源: Taylor
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5. |
Nonlinear renewal theory for lattice markov random walk |
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Sequential Analysis,
Volume 17,
Issue 3-4,
1998,
Page 267-277
Su Yeongtzay,
Wang Chitshung,
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摘要:
We present a nonlinear renewel theory for lattice Markov random walks with pertmbation and obtain limit theorems forandas a → ∞ through the coset v + λZ, where Znis a perturbed Markov random walk related to a finite Markov chain ynand Ta=inf{n > 0 : Zn> a}
ISSN:0747-4946
DOI:10.1080/07474949808836413
出版商:Marcel Dekker, Inc.
年代:1998
数据来源: Taylor
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6. |
Nonparametric change-point detection for two populations |
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Sequential Analysis,
Volume 17,
Issue 3-4,
1998,
Page 279-296
Keiji Nagai,
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摘要:
Suppose F and G are unknow continuous distributions and one can observe sequential a series of independent random vectors (X1,Y1),(X2,Y2),...such that (Xi,Yi)'s initially have distribution F×F and at some unknow time their distribution may become F×G. Namely,a change in the distribution of the Y observations may occur for some reason, while the X observation maintain their distribution. We coinsider the case where the X observation maintain their distribution We consider the case where the post-change distribution is a Lehmann alternative of F, i.e.., G = Fδfor some δ > 0. The problem is to detect the change as soon as possible after its occurrence, subject to constriant on the rate of false alarms Let Ankdenote the likehood ratio of the ranks of the combined data(X1,...,Xn,Y1,...,Yn) for the test of no change versus na change to a Lehmann alternative at k+1 in the Y sequence. We consider the nonparmetric Shiryaev-Roberts stopping rule based on Ankand compute its average run length to dectection by decoupling method
ISSN:0747-4946
DOI:10.1080/07474949808836414
出版商:Marcel Dekker, Inc.
年代:1998
数据来源: Taylor
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7. |
Remark on the modified kiefeer-weiss problem for exponntial families |
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Sequential Analysis,
Volume 17,
Issue 3-4,
1998,
Page 297-303
Annemarie Hawix,
Norbert Schmitz,
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摘要:
During his investigations of the modified kiefer-weiss problem Lorden (1980) considered the (auxiliary) problem of minimizing a weighted sum of the error Probabilites and the expected sample size. He derived a compiete solution for one-parameter exponential famlies and "inner" parameter points. Here we treat the remaining case of external points. It turns out that the optimal stopping rules fail to be finite a.s.. An additional example shows that this may happen also for other types of distributions.
ISSN:0747-4946
DOI:10.1080/07474949808836415
出版商:Marcel Dekker, Inc.
年代:1998
数据来源: Taylor
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8. |
Editorial board |
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Sequential Analysis,
Volume 17,
Issue 3-4,
1998,
Page -
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ISSN:0747-4946
DOI:10.1080/07474949808836408
出版商:Marcel Dekker, Inc.
年代:1998
数据来源: Taylor
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