Craig H. Bishop - Monterey CA, US Elizabeth Ann Satterfield - Monterey CA, US
Assignee:
The Government of the United States of America, as represented by the Secretary of the Navy - Arlington VA
International Classification:
G06F 11/08
US Classification:
714 49
Abstract:
Methods for finding (i) the parameter var(σ), representing the variance of a prior historical distribution ρ(σ) of hidden error variances σ; (ii) the parameter “a” defining the rate of change of the mean ensemble variance response to changes in true error variance; (iii) the parameter σrepresenting a prior historical minimum of true error variance; (iv) the parameter k, representing the relative variance of the stochastic component of variance prediction error; and (v) the parameter M, representing the effective ensemble size.
Estimation Of Hidden Variance Distribution Parameters
Craig H. Bishop - Monterey CA, US Elizabeth Ann Satterfield - Monterey CA, US
Assignee:
The Government of the United States of America, as represented by the Secretary of the Navy - Arlington VA
International Classification:
G06F 17/11
US Classification:
708446
Abstract:
Methods for finding (i) the parameter var(σ), representing the variance of a prior historical distribution ρ(σ) of hidden error variances σ; (ii) the parameter “a” defining the rate of change of the mean ensemble variance response to changes in true error variance; (iii) the parameter σrepresenting a prior historical minimum of true error variance; (iv) the parameter k, representing the relative variance of the stochastic component of variance prediction error; and (v) the parameter M, representing the effective ensemble size.
Estimation Of Hidden Variance Distribution Parameters
- Arlington VA, US Elizabeth Ann Satterfield - Monterey CA, US
Assignee:
The Government of the United States of America, as represented by the Secretary of the Navy - Arlington VA
International Classification:
G06F 17/11 G06F 17/18
Abstract:
Methods for finding (i) the parameter var(σ), representing the variance of a prior historical distribution ρ(σ) of hidden error variances σ; (ii) the parameter “a” defining the rate of change of the mean ensemble variance response to changes in true error variance; (iii) the parameter σrepresenting a prior historical minimum of true error variance; (iv) the parameter k, representing the relative variance of the stochastic component of variance prediction error; and (v) the parameter M, representing the effective ensemble size.
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Company / Classification
Phones & Addresses
Elizabeth J. Satterfield Associate
Swift, Currie, McGhee & Hiers Law Practice · Legal Services Office · Offices of Lawyers
1355 Peachtree Street, NE SUITE 300, Atlanta, GA 30309 1355 Peachtree St NE, Atlanta, GA 30309 4048748800, 4048886199