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Regression Definite Integrals Using Only Observations with Positive σ-Contribution

✍ Scribed by Dr. C. A. Glasbey


Publisher
John Wiley and Sons
Year
2008
Tongue
English
Weight
420 KB
Volume
32
Category
Article
ISSN
0323-3847

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✦ Synopsis


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-An algorithiii is proposed for estimating the value of a definite integral in a regression model, subject to the constraint that increasing the value of any observation does not decrease the estimated value of the integral. It is shown t h a t the estimator is consistent and asymptotically unbiased. It also has minimum variance in the special case of simple linear regremion. I n estimating the average illilk yield of cows in 100-day periods, using monthly observations and various nonlinear regreesion functions, the method produces estimates with loner mean square error than either least squares regression or simple averaging.