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(See Orbital eccentricity.) Five years later, in 1556, an adjective form of the word was used. In 1685, the definition evolved from the literal to the figurative, and eccentric is noted to have begun being used to describe unconventional or odd behavior. A noun form of the word – a person who possesses and exhibits these unconventional or odd ...
In mathematics, the eccentricity of a conic section is a non-negative real number that uniquely characterizes its shape. One can think of the eccentricity as a measure of how much a conic section deviates from being circular. In particular: The eccentricity of a circle is 0. The eccentricity of an ellipse which is not a circle is between 0 and 1.
A normal subgroup of a normal subgroup of a group need not be normal in the group. That is, normality is not a transitive relation. The smallest group exhibiting this phenomenon is the dihedral group of order 8. [15] However, a characteristic subgroup of a normal subgroup is normal. [16] A group in which normality is transitive is called a T ...
Horizontal eccentricity, in vision, degrees of visual angle from the center of the eye; Eccentric contraction, the lengthening of muscle fibers; Eccentric position of a surveying tripod, to be able to measure hidden points; Eccentric training, the motion of an active muscle while it is lengthening under load; Eccentricity, a deviation from ...
In the 2-dimensional case, if the density exists, each iso-density locus (the set of x 1,x 2 pairs all giving a particular value of ()) is an ellipse or a union of ellipses (hence the name elliptical distribution).
For this case, the linear eccentricity is =, the eccentricity = and the semi-latus rectum =. The graph of the equation y = 1 / x {\displaystyle y=1/x} is a rectangular hyperbola. Parametric representation with hyperbolic sine/cosine
The noncentral t-distribution generalizes Student's t-distribution using a noncentrality parameter.Whereas the central probability distribution describes how a test statistic t is distributed when the difference tested is null, the noncentral distribution describes how t is distributed when the null is false.
The circularly symmetric version of the complex normal distribution has a slightly different form. Each iso-density locus — the locus of points in k -dimensional space each of which gives the same particular value of the density — is an ellipse or its higher-dimensional generalization; hence the multivariate normal is a special case of the ...