A Practical Guide to Scientific Data Analysis

DOI10.1002/9780470017913zbMath1268.90001OpenAlexW575259947MaRDI QIDQ5897161

Richard L. Hulbert, Christopher J. Lacke, Prem S. Mann, Mikel J. Harry, Ofelia C. de Hodgins

Publication date: 16 February 2010

Full work available at URL: https://doi.org/10.1002/9780470017913

zbMATH Keywords

statistical methodsquality managementSix SigmaLean Sigmapractitioner's guideprocess improvements

Mathematics Subject Classification ID

Statistical methods; risk measures (91G70) Applications of statistics in engineering and industry; control charts (62P30) Queues and service in operations research (90B22) Reliability, availability, maintenance, inspection in operations research (90B25) Case-oriented studies in operations research (90B90) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to operations research and mathematical programming (90-01) Corporate finance (dividends, real options, etc.) (91G50)

Related Items (2)

Minimizing the dry content variation in the pulp drying process using Six Sigma methodology ⋮ Productivity improvement by reduction of idle time through application of queuing theory

This page was built for publication: A Practical Guide to Scientific Data Analysis