Results 271 to 280 of about 1,198,252 (292)
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Journal of the American Statistical Association, 2006
We introduce the notion of a functional variance process to quantify variation in functional data. The functional data are modeled as samples of smooth random trajectories observed under additive noise. The noise is assumed to be composed of white noise and a smooth random process—the functional variance process—which gives rise to smooth random ...
Muller, Hans-Georg +2 more
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We introduce the notion of a functional variance process to quantify variation in functional data. The functional data are modeled as samples of smooth random trajectories observed under additive noise. The noise is assumed to be composed of white noise and a smooth random process—the functional variance process—which gives rise to smooth random ...
Muller, Hans-Georg +2 more
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Variance function estimation for immunoassays
Computer Programs in Biomedicine, 1980A computer program is described which implements a recently described [1], modified likelihood method of determining an appropriate weighting function to use when fitting immunoassay dose-response curves. The relationship between the variance of the response and its mean value is assumed to have an exponential form, and the best fit to this model is ...
G M, Raab, R, Thompson, I, McKenzie
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On polynomial variance functions
Probability Theory and Related Fields, 1992zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bar-Lev, Shaul K. +2 more
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A GRAPHICAL DIAGNOSTIC FOR VARIANCE FUNCTIONS
Australian & New Zealand Journal of Statistics, 2007SummaryThis paper proposes diagnostic plots for regression variance functions. It shows how to extend graphical methodology that uses Bayesian sampling for checking the regression mean function to also check the variance function. Plots can be constructed quickly and easily for any model of interest.
Pardoe, Iain, Cook, R. Dennis
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LOCAL MEDIAN ESTIMATION OF VARIANCE FUNCTION
Acta Mathematica Scientia, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yang, Ying +3 more
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Variance weighting functions in radioimmunoassay calibration
American Journal of Physiology-Endocrinology and Metabolism, 1986Software packages for radioimmunoassay calibration assume that expected counting rate is a function of ligand dose. Previous studies have indicated that variances of counting rate are also related to dose, but the structure of individual assays does not permit precise estimation of counting rate variances at individual doses.
T W, Gettys, P M, Burrows, D M, Henricks
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Journal of Applied Statistics, 1990
Estimates of variance from samples depend strongly on extreme values. Incomplete variance functions may be used to explain the unreliability of variance estimates when the distribution is long-tailed.
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Estimates of variance from samples depend strongly on extreme values. Incomplete variance functions may be used to explain the unreliability of variance estimates when the distribution is long-tailed.
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