Results 231 to 240 of about 1,270,971 (267)

Psychometric functions for the discrimination of spectral variance

The Journal of the Acoustical Society of America, 1996
An experiment was conducted to measure the shape of the psychometric function for the discrimination of spectral variance. The stimuli were simultaneous tone complexes comprised of the six octave frequencies from 250 to 8000 Hz. On each presentation the levels of components in dB were drawn independently and at random from one of two normal ...
R A, Lutfi, K A, Doherty, E, Oh
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Portfolio Optimization by a Bivariate Functional of the Mean and Variance

Journal of Optimization Theory and Applications, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zinoviy Landsman, Udi E. Makov, Tomer Shushi   +2 more
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Estimating Variance Functions in Developmental Toxicity Studies

Biometrics, 1995
The presence of intralitter correlation is a well known issue for analysis of the developmental toxicology data. The intralitter correlation coefficients observed in developmental toxicology data are generally different across dose groups. In this paper we use a generalized estimating equation procedure to model jointly the mean parameters and the ...
Bowman, Dale, Chen, James J., George, E. Olusegun   +2 more
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On the variance of additive functions

1983
Let f be a real-valued additive arithmetical function. The quantity $$D^2 (f,t) = x^{ - 1} \sum\limits_{n \leqq x} {(f(n) - t)^2 }$$ (1.1) assumes its minimum at $$t = M(f)\mathop = \limits^{def} x^{ - 1} \sum\limits_{n \leqq x} {\left[ {\frac{x} {{p^k }}} \right](f(p^k ) - f(p^{k - 1} ))}$$ (1.2) we call its value $$D^2 (f) = D^
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Optimal Designs When the Variance Is A Function of the Mean

Biometrics, 1999
Summary.We develop locallyD‐optimal designs for nonlinear models when the variance of the response is a function of its mean. Using the two‐parameter Michaelis–Menten model as an example, we show that the optimal design depends on both the type of heteroscedasticity and the magnitude of the variation.
Dette, Holger, Wong, Weng Kee
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Walsh functions, schema variance, and deception

Complex Syst., 1992
Summary: We show how the Walsh functions can be used to compute schema variance and relate schema variance to deception. We also calculate operator- adjusted fitness for Walsh functions.
Scott E. Page, David W. Richardson
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Generalized Variance of Multivariate Omega Functions and Duality

Annals of Operations Research, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Analysis of Variance from the Power Function Standpoint

Biometrika, 1941
Not ...
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Analysis of variance on function spaces

Series Statistics, 1984
Summary: In this paper, we introduce the notion of analysis of variance on spaces of real functions defined on a product set and the ordinary analysis of variance in two way arrays appears as a special case. In order to obtain the results the theory of Gaussian measures on Banach spaces is employed and a decomposition into orthogonal subspaces of a ...
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The Analysis of Variance for Estimable Functions

Biometrical Journal, 1977
Drwiega, T., Oktaba, W.
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