Specification for oxygen masks for use in demand systems

1969 ◽  
Keyword(s):  
Demand Systems

Fractional demand systems

1987 ◽  
Vol 36 (3) ◽  
pp. 311-337 ◽  
Author(s):  
Arthur Lewbel
Keyword(s):  
Demand Systems

Inflationary Expectations in Intertemporal Consumer Demand Systems

1980 ◽  
Vol 19 (34) ◽  
pp. 193-202
Author(s):  
RUSSEL J. COPPER ◽  
KEITH R. McLAREN
Keyword(s):  
Consumer Demand ◽  
Demand Systems

The maximum factor queue length batching scheme for video-on-demand systems

2001 ◽  
Vol 50 (2) ◽  
pp. 97-110 ◽  
Author(s):  
C.C. Aggarwal ◽  
J.L. Wolf ◽  
P.S. Yu
Keyword(s):  
Queue Length ◽  
Video On Demand ◽  
Demand Systems ◽  
On Demand

Using the cost function to generate Marshallian demand systems

2000 ◽  
Vol 25 (2) ◽  
pp. 209-227 ◽  
Author(s):  
Keith R. McLaren ◽  
Peter D. Rossitter ◽  
Alan A. Powell
Keyword(s):  
Cost Function ◽  
Demand Systems ◽  
The Cost

Curved Exponential Models in Econometrics

1997 ◽  
Vol 13 (6) ◽  
pp. 771-790 ◽  
Author(s):  
Kees Jan van Garderen
Keyword(s):  
Structural Equation ◽  
Equation Model ◽  
Econometric Models ◽  
Demand Systems ◽  
Likelihood Ratios ◽  
Sufficient Statistics ◽  
Sufficient Statistic ◽  
Exponential Models ◽  
Minimal Sufficient Statistic ◽  
The Difference

Curved exponential models have the property that the dimension of the minimal sufficient statistic is larger than the number of parameters in the model. Many econometric models share this feature. The first part of the paper shows that, in fact, econometric models with this property are necessarily curved exponential. A method for constructing an explicit set of minimal sufficient statistics, based on partial scores and likelihood ratios, is given. The difference in dimension between parameterand statistic and the curvature of these models have important consequences for inference. It is not the purpose of this paper to contribute significantly to the theory of curved exponential models, other than to show that the theory applies to many econometric models and to highlight some multivariate aspects. Using the methods developed in the first part, we show that demand systems, the single structural equation model, the seemingly unrelated regressions, and autoregressive models are all curved exponential models.

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