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A model-based approach to quality control of paper production.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

<mark>Journal publication date</mark>2004
<mark>Journal</mark>Applied Stochastic Models in Business and Industry
Issue number3
Number of pages12
Pages (from-to)173-184
Publication StatusPublished
<mark>Original language</mark>English


Applied Stochastic Models in Business and Industry (formerly Applied Stochastic Models and Data Analysis ) was first published in 1985 publishing contributions in the interface between stochastic modelling data analysis and their applications in business finance insurance management and production. The main objective is to publish papers both technical and practical presenting new results which solve real-life problems or have great potential in doing so. A second objective is to present new methods for solving such problems i.e. optimization data base management knowledge acquisition expert systems computer-aided decision supports and neural computing. The scope of the journal is now broadened both in supporting topics and in appropriate methodology. Topics to be added include managerial processes reliability quality control data analysis and data mining. New methodologies include wavelets Markov-chain Monte Carlo methods and spatial statistics.