Results 251 to 260 of about 876,466 (289)
Some of the next articles are maybe not open access.
Acta Mathematica Sinica, English Series, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +1 more source
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +1 more source
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 ...
openaire +2 more sources
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 ...
openaire +2 more sources
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 ...
openaire +2 more sources
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 ...
openaire +2 more sources
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
openaire +1 more source
Psychometrika, 1941
The distribution of a linear combination of two statistics distributed as is Chi-square is studied. The degree of approximation involved in assuming a Chi-square distribution is illustrated for several representative cases. It is concluded that the approximation is sufficiently accurate to use in many practical applications.
openaire +2 more sources
The distribution of a linear combination of two statistics distributed as is Chi-square is studied. The degree of approximation involved in assuming a Chi-square distribution is illustrated for several representative cases. It is concluded that the approximation is sufficiently accurate to use in many practical applications.
openaire +2 more sources
Variance trading and market price of variance risk
Journal of Econometrics, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +1 more source
A General ANOVA Method for Robust Tests of Additive Models for Variances
Journal of the American Statistical Association, 1979Ralph G O'Brien
exaly +2 more sources
The Estimation of the Variances in a Variance-Components Model
International Economic Review, 1971openaire +1 more source