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2011, ISBN 9781412970761, x, 359
A clear introduction to the principles of using computational and mathematical models in psychology and cognitive science. 
Cognition | Mathematical models
Book
2003, ISBN 0195152964, xx, 644
In this book, [the authors] use concrete examples and careful explanation to demonstrate how research questions about change and event occurrence can be... 
Modellbildung | Längsschnittuntersuchung | Beispiel | Datenanalyse | Forschungsdesign | Statistik | Methodologie | Geschichte (Histor) | Epidemiology | Public Health | Longitudinal method | Social sciences | Research | Hazard models | Temporal rythms | Multilevel models | Teenagers | Change | Children | Elderly | Survival models
Book
2003, ISBN 0195152964, xx, 644
In this book, [the authors] use concrete examples and careful explanation to demonstrate how research questions about change and event occurrence can be... 
Modellbildung | Längsschnittuntersuchung | Beispiel | Datenanalyse | Forschungsdesign | Statistik | Methodologie | Geschichte (Histor) | Epidemiology | Public Health | Longitudinal method | Social sciences | Research | Hazard models | Temporal rythms | Multilevel models | Teenagers | Change | Children | Elderly | Survival models
Book
2003, Advanced texts in econometrics, ISBN 9780199245291, xii, 231
This book reviews some of the main topics in panel data econometrics. It analyses econometric models with non-exogenous explanatory variables, and the problem... 
Econometrics | Panel analysis | Econometrics and Mathematical Economics | Econometric Modelling | Dynamic models | Time series models | Linear static models | Error components | Panel data econometrics
Book
2015, ISBN 9781107029514, xiv, 359 pages
"A Practitioner's Guide to Stochastic Frontier Analysis Using Stata provides practitioners in academia and industry with a step-by-step guide on how to conduct... 
Production (Economic theory) | BUSINESS & ECONOMICS / Econometrics | Stochastic analysis | Econometric models | Econometrics
Book
Computers & chemical engineering, ISSN 0098-1354, 04/2009, Volume 33, Issue 4, pp. 795 - 814
In the last two decades Soft Sensors established themselves as a valuable alternative to the traditional means for the acquisition of critical process... 
ANN | Data-driven models | Soft Sensors | Process industry | PCA | Analysis | Sensors
Journal Article