Parameter
It is not!
Put their names into the parameter-list.
I think you mean "perimeter" "parameter" means something completely different
There are probably many probability distributions that have just one parameter. The most important one for statistical analysis is probably the Student t distribution.This probability distribution is fully described by a single parameter which is often called "degrees of freedom". The parameter describes the scale of the distribution, and not the location, since the Student t distribution is always centered at zero (unlike the normal distribution, which has a scale parameter, the variance, and a location parameter, the mean).Another example of a distribution that is described with a single parameter is the exponential distribution. Unlike the Student t distribution, it is a distribution that takes only positive values.
direct fm generation is a method of generation of fm signal directly with the help of parameter variation method. in this method we use some of the devices which converts the variation in voltage to variation in frequency such as varactor diode.
What is the solution of this question By wronskian determinant method please find whether the solution exist or not where.... y1 = (squre of) cos x, y2 = 1 + cos 2 x.
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what is the parameter of earth
when we use that parameter as a global parameter and we used that parameter through out the program without changing
A parameter is something that limits something else. A parameter is a limit, or a boundary.
A parameter is like a limit or a specification.
Variation plays a role in the process of natural selection because it keeps things mixed up. This is necessary so that one thing doesn't overtake another, ruling it out. If things are equal, one can't overrule another.
r parameter is resistance parameter
parameter passing in c, what does it do?
Difference between single parameter sensitivity and multiple parameter sensitivity is that in multiple parameter sensitivity,defined parameters cannot be measured with a high degree of accuracy in the field or in the laboratory.
An ideal regulator would hold the thing it is regulating (e.g. voltage, current, water pressure, motor speed) absolutely constant, or in other words with zero variation of that parameter. The quality of regulation in actual regulators however can only approach this ideal of zero variation.