Labour education

• Record Nr.: UNISA996200165703316
• Pubbl/distr/stampa: Geneva, : Workers' Education Branch of the International Labor Office
• Descrizione fisica: 1 online resource
• Disciplina: 331.25/9
• Soggetti: Working class - Education; Beroepsonderwijs; Vorming; Berufsbildung; Welt; Entwicklungsländer; LABOUR; WORKERS' EDUCATION; Periodicals.
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Periodico
• Note generali: No. 100/101 accompanied by a 3.5 in. computer disk.; Some issues have also a distinctive title.

Optimal design of experiments : a case study approach / / Peter Goos

• Record Nr.: UNINA9911019143203321
• Autore: Goos Peter
• Pubbl/distr/stampa: Chicester : , : Wiley, , 2011
• ISBN: 1-283-17783-8; 9786613177834; 1-119-97401-1; 1-119-97400-3
• Descrizione fisica: 1 online resource (xiv, 287 pages) : illustrations, charts
• Classificazione: SCI028000
• Disciplina: 500; 620.00420285
• Soggetti: Industrial engineering - Experiments - Computer-aided design; Experimental design - Data processing; Industrial engineering; Computer-aided design; Case studies.
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: lncludes bibliographical references (pages 277-282) and index.
• Nota di contenuto: A Simple Comparative Experiment -- An Optimal Screening Experiment -- Adding Runs to a Screening Experiment -- A Response Surface Design with a Categorical Factor -- A Response Surface Design in an Irregularly Shaped Design Region -- A 'Mixture' Experiment with Process Variables -- A Response Surface Design in Blocks -- A Screening Experiment in Blocks -- Experimental Design in the Presence of Covariates -- A Split-Plot Design -- A Two-Way Split-Plot Design.
• Sommario/riassunto: "This book demonstrates the utility of the computer-aided optimal design approach using real industrial examples. These examples address questions such as the following: How can I do screening inexpensively if I have dozens of factors to investigate? What can I do if I have day-to-day variability and I can only perform 3 runs a day? How can I do RSM cost effectively if I have categorical factors? How can I design and analyze experiments when there is a factor that can only be changed a few times over the study? How can I include both ingredients ; in a mixture and processing factors in the same study? How can I design an experiment if there are many factor combinations that are impossible to run? How can I make sure that a time trend due to warming up of equipment does not affect the conclusions from a study? How can I take into account batch information in when designing experiments involving multiple batches? How can I add runs to a botched experiment to resolve ambiguities?While answering these questions the book also shows how to evaluate and compare designs. This allows researchers to make sensible trade-offs between the cost of experimentation and the amount of information they obtain. The structure of the book is organized around the following chapters: 1) Introduction explaining the concept of tailored DOE. 2) Basics of optimal design. 3) Nine case studies dealing with the above questions using the flow: description-design-analysis-optimization or engineering interpretation. 4) Summary. 5) Technical appendices for the mathematically curious"--