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Applied Stochastic Models in Business and Industry Volume 15 Issue 1

Subject Areas: Business, Management and Accounting (miscellaneous)
Publisher: Wiley Subscription Services, Inc., A Wiley Company - Wiley
ISSN: 8755-0024
SJR: 41

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Journal Article

The analysis of structured qualitative data

Lauro, Carlo; Balbi, Simona

1999 Applied Stochastic Models and Data Analysis

doi:10.1002/(SICI)1099-0747(199903)15:1<1::AID-ASM356>3.0.CO;2-F

The aim of this paper is to give an overview of the methodological contribution given by Italian researchers in introducing a priori information into multidimensional data analysis techniques, paying special attention to categorical variables. The basic method is Non‐Symmetrical Correspondence...
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Journal Article

Multifractal analysis of foreign exchange data

Schmitt, François; Schertzer, Daniel; Lovejoy, Shaun

1999 Applied Stochastic Models and Data Analysis

doi:10.1002/(SICI)1099-0747(199903)15:1<29::AID-ASM357>3.0.CO;2-Z

In this paper we perform multifractal analyses of five daily Foreign Exchange (FX) rates. These techniques are currently used in turbulence to characterize scaling and intermittency. We show the multifractal nature of FX returns, and estimate the three parameters in the universal multifactal...
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Journal Article

The steady‐state probabilities for regenerative semi‐Markov processes with application to prevention and screening

Davidov, Ori

1999 Applied Stochastic Models and Data Analysis

doi:10.1002/(SICI)1099-0747(199903)15:1<55::AID-ASM358>3.0.CO;2-4

There is a growing interest in planning and implementing broad‐scale clinical trials with a focus on prevention and screening. Often, the data‐generating mechanism for such experiments can be viewed as a semi‐Markov process. In this communication, we develop general expressions for the...
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Journal Article

Asymptotical optimality in cluster analysis

Kharin, Yurij S.; Zhuk, Eugene E.

1999 Applied Stochastic Models and Data Analysis

doi:10.1002/(SICI)1099-0747(199903)15:1<65::AID-ASM360>3.0.CO;2-Q

The problem of optimality and performance evaluation for cluster analysis procedures is investigated. For the situations where the classes are described by known or unknown prior probabilities and regular probability density functions with unknown parameters the asymptotic expansions of...
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Journal Article

Average performance of adaptive algorithms for programming co‐ordinate measuring machines under budget constraint

Al‐Mharmah, Hisham Ahmad

1999 Applied Stochastic Models and Data Analysis

doi:10.1002/(SICI)1099-0747(199903)15:1<77::AID-ASM361>3.0.CO;2-G

In this paper we develop two adaptive algorithms for programming co‐ordinate measuring machines assuming fixed sampling budget. Two different costs are considered: the travelling cost of the machine probe, and the sampling cost to read and store all measurements. Simulation is used to compare the...

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