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Simplified confidence intervals for an awkward nonlinear model. Technical summary report

Technical Report ·
OSTI ID:5185120
; ;
A simple method is developed for approximating confidence intervals for a linear change-point model representing residential energy consumption. The method can be applied to any nonlinear model which is conditionally linear in all but one parameter. The approximation is shown to be more accurate than the Gaussian approximation, and easier to compute than confidence intervals defined by likelihood (sum-of-squares) regions. Computations are described in some detail for the motivating model.
Research Organization:
Wisconsin Univ., Madison (USA). Mathematics Research Center
OSTI ID:
5185120
Report Number(s):
AD-A-136403/3; MRC-TSR-2601
Country of Publication:
United States
Language:
English

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Related Subjects

29 ENERGY PLANNING, POLICY, AND ECONOMY
290100 -- Energy Planning & Policy-- Energy Analysis & Modeling
292000 -- Energy Planning & Policy-- Supply
Demand & Forecasting
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
320101* -- Energy Conservation
Consumption
& Utilization-- Residential Buildings-- (-1987)
ENERGY CONSUMPTION
EQUATIONS
MATHEMATICAL MODELS
RELIABILITY
RESIDENTIAL SECTOR