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

Brown, P. E. and Diggle, Peter J. and Henderson, R. (2004) A model-based approach to quality control of paper production. Applied Stochastic Models in Business and Industry, 20 (3). pp. 173-184. ISSN 1526-4025

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Abstract

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.

Item Type: Article
Journal or Publication Title: Applied Stochastic Models in Business and Industry
Uncontrolled Keywords: state space model • information matrix • multivariate control charts
Subjects: Q Science > QA Mathematics
Departments: Faculty of Health and Medicine > Medicine
VC's Office
ID Code: 9379
Deposited By: Mrs Yaling Zhang
Deposited On: 06 Jun 2008 15:44
Refereed?: Yes
Published?: Published
Last Modified: 26 Jul 2012 18:36
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/9379

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