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OPTIMAL SEQUENTIAL PROCEDURES WITH BAYES DECISION RULES
 KYBERNETIKA — V OLUME 44
, 2008
"... In this article, a general problem of sequential statistical inference for general discretetime stochastic processes is considered. The problem is to minimize an average sample number given that Bayesian risk due to incorrect decision does not exceed some given bound. We characterize the form of op ..."
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Cited by 1 (1 self)
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of optimal sequential stopping rules in this problem. In particular, we have a characterization of the form of optimal sequential decision procedures when the Bayesian risk includes both the loss due to incorrect decision and the cost of observations.
A Sequential Procedure for Average Power Analysis of Sequential Circuits
"... A new statistical technique for average power estimation in sequential circuits is presented. Due to the feedback mechanism, conventional statistical procedures cannot be applied to infer the average power of sequential circuits. As a remedy, we propose a sequential procedure to determine an inde ..."
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A new statistical technique for average power estimation in sequential circuits is presented. Due to the feedback mechanism, conventional statistical procedures cannot be applied to infer the average power of sequential circuits. As a remedy, we propose a sequential procedure to deter
A Sequential Procedure for Manufacturing System Design
, 2003
"... Experimental design is a powerful approach to study the impact of potential variables affecting systems and provides spontaneous insight for continuous improvement possibilities. Most research in system design has focused on problems with a single characteristic or response. This paper is concerned ..."
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with the application of a design method to problems with multiple characteristics. The study sequentially employs two optimumseeking methods to design and optimize a manufacturing system. The integration between Taguchi method, which uses robust design concept to reduce the output variation, and the Response Surface
Diagnosing multiple faults.
 Artificial Intelligence,
, 1987
"... Abstract Diagnostic tasks require determining the differences between a model of an artifact and the artifact itself. The differences between the manifested behavior of the artifact and the predicted behavior of the model guide the search for the differences between the artifact and its model. The ..."
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Cited by 808 (62 self)
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. The diagnostic procedure presented in this paper is modelbased, inferring the behavior of the composite device from knowledge of the structure and function of the individual components comprising the device. The system (GDE General Diagnostic Engine) has been implemented and tested on many examples
SEQUENTIAL PROCEDURES FOR A CLASS OF DISTRIBUTIONS RELATED TO THE UNIFORM By
, 1981
"... Suppose XIX2,... are independent random variables, each with cumulative distribution function F(x) and density f(x). Let Y 0a1x(Xi9X2 "...Xn)1 n 1,2,... and define a stopping rule N by (1) N first integer n> I for which Yn t (bn'an) ' where {an) and (b) are sequences of real numb ..."
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Suppose XIX2,... are independent random variables, each with cumulative distribution function F(x) and density f(x). Let Y 0a1x(Xi9X2 "...Xn)1 n 1,2,... and define a stopping rule N by (1) N first integer n> I for which Yn t (bn'an) ' where {an) and (b) are sequences of real numbers and typically nondecreasing since (Y n is stochastically increasing with n. Then, for n> 2 P(N>n) P(bi<YI<a,,.bnlYnj l n,b n <Y n<an)P (bi<Yi<a:Li il,2,..., nI) P(bnI<Yn<%n b i<Y i<ai, il,2,..., n1)P(nl)P(bn<Yn<an lbn_<Ynl<an_) since the sequence (Yn} is Mrkov. Thus induction gives WOO1 PO~n) PN~li'T P(bici<ailbi<iriiaii,)?QI~u)?(N 12 For b i &ii, P(biCYi<ail bii<Yii<ai_..) P(bi<XiLai) mF(aiL)F(bi), though typically bi!, _ for each i> 1. Henceforth we will make this assumption, in which case
1 Comparisons of Urban Travel Forecasts with the Sequential Procedure and a Combined Model
"... Detailed analyses and comparisons of urban travel forecasts obtained by applying the stateofpractice sequential procedure and the solution of a combined network equilibrium model are presented. The sequential procedure for solving the trip distribution, mode choice and assignment problems with fee ..."
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Detailed analyses and comparisons of urban travel forecasts obtained by applying the stateofpractice sequential procedure and the solution of a combined network equilibrium model are presented. The sequential procedure for solving the trip distribution, mode choice and assignment problems
Sequential procedures for aggregating arbitrary estimators of a conditional mean
, 2005
"... In this paper we describe and analyze a sequential procedure for aggregating linear combinations of a finite family of regression estimates, with particular attention to linear combinations having coefficients in the generalized simplex. The procedure is based on exponential weighting, and has a com ..."
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Cited by 39 (1 self)
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In this paper we describe and analyze a sequential procedure for aggregating linear combinations of a finite family of regression estimates, with particular attention to linear combinations having coefficients in the generalized simplex. The procedure is based on exponential weighting, and has a
A Fully Sequential Procedure for IndifferenceZone Selection in Simulation
, 2000
"... We present procedures for selecting the best or nearbest of a finite number of simulated systems when best isdz389 by maximum or minimum expected performance. The proced855 are appropriate when it is possible to repeated3 obtain small, incremental samples from each simulated system. The goal of su ..."
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Cited by 64 (13 self)
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We present procedures for selecting the best or nearbest of a finite number of simulated systems when best isdz389 by maximum or minimum expected performance. The proced855 are appropriate when it is possible to repeated3 obtain small, incremental samples from each simulated system. The goal
The Forward Sequential Procedure for the Identifying Multiple Outliers in Linear Regression1)
"... In this paper we consider the problem of identifying and testing outliers in linear regression. First we consider the use of the socalled scale ratio tests for testing the null hypothesis of no outliers. This test is based on the ratio of two residual scale estimates. We show the asymptotic distrib ..."
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distribution of the test statistics and investigate its properties. Next we consider the problem of identifying the outliers. A forward sequential procedure using the suggested test is proposed. The new method is compared with classical procedure in the real data example. Unlike other forward procedures
On Comparison of Stopping Times in Sequential Procedures for Exponential Families of Stochastic Processes
, 1994
"... this paper was carried out within the Sonderforschungsbereich 373 during a stay at Institut fur Stochastik, HumboldtUniversitat zu Berlin and was printed using founds made available by the Deutsche Forschungsgemeinschaft. Sequential procedures of the type described above have likelihood functions ..."
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Cited by 1 (1 self)
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this paper was carried out within the Sonderforschungsbereich 373 during a stay at Institut fur Stochastik, HumboldtUniversitat zu Berlin and was printed using founds made available by the Deutsche Forschungsgemeinschaft. Sequential procedures of the type described above have likelihood functions
Results 11  20
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3,272