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Analysis of Variance with Unequal Variances
Journal of Quality Technology, 1981Analysis of variance (ANOVA) is often used in quality control studies. It assumes equal variabilities within groups, and no exact procedures have been available for cases with unequal variabilities. In this paper exact procedures are given and illustrat..
Edward J. Dudewicz, Thomas A. Bishop
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Acta Mathematica Sinica, English Series, 2010
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1981
In earlier chapters we have defined the model linear in the parameters, commonly called the linear model, and discussed the theory of estimating parameters of the model by the method of least squares. Our applications of the theory so far have been to simple linear regression, polynomial regression and multiple regression. However, there is a very wide
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In earlier chapters we have defined the model linear in the parameters, commonly called the linear model, and discussed the theory of estimating parameters of the model by the method of least squares. Our applications of the theory so far have been to simple linear regression, polynomial regression and multiple regression. However, there is a very wide
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JAMA: The Journal of the American Medical Association, 1977
The unitary facade of angina pectoris was cracked 18 years ago when Prinzmetal et al 1 chipped off a "variant" form that departs from the classical pattern of Heberden angina of effort in several respects. The pain occurs at rest and is often accompanied by arrhythmias or heart block; it is associated with electrocardiographic ST-segment elevations ...
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The unitary facade of angina pectoris was cracked 18 years ago when Prinzmetal et al 1 chipped off a "variant" form that departs from the classical pattern of Heberden angina of effort in several respects. The pain occurs at rest and is often accompanied by arrhythmias or heart block; it is associated with electrocardiographic ST-segment elevations ...
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Circulation, 2008
Analysis of variance (ANOVA) is a statistical technique to analyze variation in a response variable (continuous random variable) measured under conditions defined by discrete factors (classification variables, often with nominal levels). Frequently, we use ANOVA to test equality among several means by comparing variance among groups relative to ...
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Analysis of variance (ANOVA) is a statistical technique to analyze variation in a response variable (continuous random variable) measured under conditions defined by discrete factors (classification variables, often with nominal levels). Frequently, we use ANOVA to test equality among several means by comparing variance among groups relative to ...
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Transformation of Variance to Possibilistic Variance and Vice Versa
2017We introduce a new transformation of the variance function to possibilistic variance and vice versa. We show that the transformation of the center-of-gravity-based formulation of variance gives exactly the possibilistic variance introduced by Carlsson and Fuller and that the corresponding inverse transformation gives the original variance formula from ...
Pasi Luukka, Jan Stoklasa, Mikael Collan
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THE MEAN AND VARIANCE OF THE MEAN-VARIANCE DECISION RULE
1987The sampling properties of the mean-variance decision vector are studied. We sho,v that, when the parameters of yield distributions are uncertain, risk in estimation causes bias in these decisions and large variances. Especially with small samples, decisions based on estimated parameters can be very poor estimates of optimal behavior.
Chalfant, James A. +5 more
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The Estimation of the Variances in a Variance-Components Model
International Economic Review, 1971openaire +1 more source