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Confidence Sets for Location and Scale Parameters
Journal of Mathematical Sciences, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Radionova, M. V., Sapozhnikov, P. N.
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Journal of Quality Technology, 1981
Standard CUSUM procedures are available for controlling the mean of a process. However, in many industrial applications it is important to control the process variability as well. This article presents a technique for employing the same CUSUM procedure ..
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Standard CUSUM procedures are available for controlling the mean of a process. However, in many industrial applications it is important to control the process variability as well. This article presents a technique for employing the same CUSUM procedure ..
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Nonparametric estimation of location and scale parameters
Computational Statistics & Data Analysis, 2012Two random variables X and Y belong to the same location-scale family if there are constants @m and @s such that Y and @[email protected] have the same distribution. In this paper we consider non-parametric estimation of the parameters @m and @s under minimal assumptions regarding the form of the distribution functions of X and Y.
Cornelis J. Potgieter, Fred Lombard
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A note on the scale parameter of the dirichlet process
Canadian Journal of Statistics, 1997AbstractThis paper gives an interpretation for the scale parameter of a Dirichlet process when the aim is to estimate a linear functional of an unknown probability distribution. We provide exact first and second posterior moments for such functionals under both informative and noninformative prior specifications.
Walker, Stephen G., Mallick, Bani K.
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Scaling parameter and universality
Physica, 1972Abstract Scaling laws and universality with respect to a parameter are derived from the same standpoint. An equation of state for small values of the parameter is found, which has the property of homogeneity and universality, and also describes systems which for some value of the parameter change critical behaviour.
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Determination of Scale Parameter, Determination of Scale Parameter, (Ko - Kmin)
2005The most efficient method of determining a scale parameter is to test six or more specimens at one test temperature and as close as possible to the To temperature. A method of making a rough estimate of a test temperature close to To is to use data from a Charpy V-notch impact-energy transition curve in conjunction with the following equation: To ...
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On the estimation of scale parameters
Naval Research Logistics Quarterly, 1961AbstractIf Y1 ≤ … ≤ Yn are ordered observations from a population with cumulative distribution function \documentclass{article}\pagestyle{empty}\begin{document}${\rm G}\left( {{\textstyle{{{\rm X - B}} \over {\rm C}}}} \right)$\end{document}, probability density function \documentclass{article}\pagestyle{empty}\begin{document}$ {\rm (1/C)g}\left ...
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CLEO 2026
The scaling of both the conductance and transmission eigenvalues depends upon two parameters, the dimensionless conductance and the ratio of the sample cross section and the coherence area.
Nipun Koshy, Azriel Z. Genack
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The scaling of both the conductance and transmission eigenvalues depends upon two parameters, the dimensionless conductance and the ratio of the sample cross section and the coherence area.
Nipun Koshy, Azriel Z. Genack
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Determination of scale parameters on anisotropic lattices
Nuclear Physics B - Proceedings Supplements, 1988Abstract We present results for the ratio of lattice spacings, ξ = a a τ , and the ratio of Λ-parameters, Λ ξ Λ 1 , anisotropic lattices with different couplings in spatial and temporal directions.
Karsch, Frithjof +3 more
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Estimation of Location and Scale Parameters - A Compromise
Communications in Statistics - Simulation and Computation, 1975A class of limited deviation estimatorsis developed for use in, the location and scale paramater Problems. A restaint is imposed on maximum daviation of the estimator from the Minimax estimator and, subject this restraint, The Bayas rule is fallowed as closely as Possible. The rssulting class of estimators maintains good performance with raspect to the
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