40 resultados para Asymptotic Variance of Estimate
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Chart of estimate #14 of work done by John Williams, Dec. 1856.
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Chart of estimate #14 of work done by John Williams. This is signed by Fred Holmes, Dec. 1856.
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Chart of estimate #15 of work done by John Williams, Mar. 1857.
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Chart of estimate #16 of work done by John Williams, April 1857.
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Chart of estimate #17 of work done by John Williams. This is signed by S.D. Woodruff, May 1857.
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Chart of estimate #18 of work done by John Williams. This is signed by Fred Holmes, June 1857.
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Chart of estimate #18c of work done by John Williams, June, 1857.
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Chart of estimate #19 of work done by John Williams, July 1857.
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In Part I, theoretical derivations for Variational Monte Carlo calculations are compared with results from a numerical calculation of He; both indicate that minimization of the ratio estimate of Evar , denoted EMC ' provides different optimal variational parameters than does minimization of the variance of E MC • Similar derivations for Diffusion Monte Carlo calculations provide a theoretical justification for empirical observations made by other workers. In Part II, Importance sampling in prolate spheroidal coordinates allows Monte Carlo calculations to be made of E for the vdW molecule var He2' using a simplifying partitioning of the Hamiltonian and both an HF-SCF and an explicitly correlated wavefunction. Improvements are suggested which would permit the extension of the computational precision to the point where an estimate of the interaction energy could be made~
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The purpose of the study was two-fold; first, the association between interpersonal coaching styles and self-determined motivation was examined, followed by the investigation of the motivation-performance relationship. Participants included 221 female Canadian Interuniversity Sport (CIS) rugby players, aged sixteen to thirty-three (M= 20.1: SD = 2.26), who reported the number of years they played CIS rugby (M= 2.3: SD = 1.37) and organized rugby (M= 5.9: SD = 2.31). Multiple and bivariate regressions were employed with autonomy-support, structure, and involvement accounting for 17%, 41 % and 22% of the variance of competence, autonomy and relatedness. The three basic needs accounted for 40% of the variance of motivation, and motivation accounted for 2% of the variance of athletes' perceptions of performance. Findings indicated that autonomy-support emerged as a predictor of all three basic needs, involvement predicted relatedness and competence, autonomy predicted motivation, and motivation predicted athletes' perception of performance.