Open Access. Powered by Scholars. Published by Universities.®
Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 3 of 3
Full-Text Articles in Social and Behavioral Sciences
A Test Of The Renewable Resources Model Of Multiple Gains And Multiple Losses, Sandra C. Jones
A Test Of The Renewable Resources Model Of Multiple Gains And Multiple Losses, Sandra C. Jones
Faculty of Social Sciences - Papers (Archive)
Eight choice scenarios were used to test Linville and Fischer's (1991) Renewable Resources Model, which predicts that people will prefer to separate multiple gains over time and also to separate multiple losses over time, the latter prediction being contrary to Kahneman and Tversky's (1979) Prospect Theory. The Renewable Resources Model was tested under conditions that, theoretically, should enhance the dual separation outcomes. However, in seven of the eight choice scenarios, complete reversals of these outcomes were observed B that is, the participants in the experiments preferred to combine multiple gains and to combine multiple losses. Explanations of these unexpected results …
Does The Model Matter For Greg Estimation? A Business Survey Example, Dan Hedlin, Hannah Falvey, Raymond Chambers, Phillip Kokic
Does The Model Matter For Greg Estimation? A Business Survey Example, Dan Hedlin, Hannah Falvey, Raymond Chambers, Phillip Kokic
Faculty of Engineering and Information Sciences - Papers: Part A
Although asymptotically design-unbiased, GREG estimators may produce bad estimates. The article examines the behaviour of GREG estimators when the underlying models are misspecified. It shows how an efficient GREG estimator was found for a business survey that posed some problems. The work involved data exploration in several steps, combined with analyses of g-weights, residuals and standard regression diagnostics. We discuss two diagnostics for whether a GREG estimate is reasonable or not. A common justification for the use of GREG estimators is that, being asymptotically design unbiased, they are relatively robust to model choice. However, we show that the property of …
Wiener Model Identification And Predictive Control For Dual Composition Control Of A Distillation Column, H H J Bloemen, C T. Chou, T J J Van Den Boom, V Verdult, M Verhaegen, T C. Backx
Wiener Model Identification And Predictive Control For Dual Composition Control Of A Distillation Column, H H J Bloemen, C T. Chou, T J J Van Den Boom, V Verdult, M Verhaegen, T C. Backx
Faculty of Engineering and Information Sciences - Papers: Part A
The benefits of using the Wiener model based identification and control methodology presented in this paper, compared to linear techniques, are demonstrated for dual composition control of a moderate-high purity distillation column simulation model. An identification experiment design is presented which enables one to identify both the low and high gain directions of the distillation column, properties which are important for control and hard to identify in a conventional identification experiment setup as is demonstrated in the paper. Data from the proposed experiment design is used for indirect closed-loop identification of both a linear and a Wiener model, which shows …