stats.  joint densities?
823238
I wont give you the entire proof, just give you the key arguments.\n\nknowing the joint distibution of (X, Y) allows to compute the marginal densities of X and Y.\nIndeed, let f_X be the marginal density of X, then:\n\nf_X(x) = &#92;int f(x, y) d_y\n\nf_Y(y) = &#92;int f(x, y) d_x\n\nNow, you might compute E(Y| X = x) = &#92;int y f_{Y|x} (y) d_y\n\nwhere f_{Y| x} is the conditionnal density of Y knowing the event X = x\n\nrecall that f_{Y| x}  = f(x, y) / f_X(x), and you just have to compute the resulting integrals\n\nregards,\n\njfp
861788
There is no accurate way to do this because too many variables are involved. You can do like I do though and run a series of tests and then average them.\n\nhttp://www.toast.net/
571247
i wish i could help you...it looks like you need a stats book...i was tryin to find this website i used to use in my stats class...but of course when you are lookin for somethin u cant find it...sorry about that
1103496
do u have its density?
181649
what statistical informations can be extracted from difference between actual and estimate data?and how?
633777
Maybe this explanation can help? http://en.wikipedia.org/wiki/Spectral_density
905517
I answered this question for jc yesterday!  Search for questions to find the answer.\n\n\nJust integrate p(x) along the rod.
669000
tendency..\nlike ten - dency?
280201
Density = mass/volume
42411
Density = Mass / Volume\n\nDensity of a substance is a measure of how much mass is present in a given unit of volume.
282573
Statics?  Statistics?
324717
what type of statistics?
1133778
http://online.unitconverterpro.com/metric-conversion-tables/convert-alpha/density.html
851484
well if you happen to have a graphics calculator then this is easy...\njust key in normalcdf(30,50,42,6)= answer\nnormalcdf(lower boundry, upper boundry, mean, standard deviation)
272822
One cool way that I have seen it derived is based on Jayne's Formalism.\n\nAssume we sample process, and measure the mean and standard devation of the samples. There are many possible distributions that will produce those exact mean and standard deviation. \n\nJayne's Formalism chooses the distribution which maximizes the entropy of the distribuiton. This is viewed mathematically as the distribution that makes the minimum number of assumptions regarding the distribution.\n\nI always thought that was kinda cool.
180050
try your national statistics office
461896
Wikipedia reveals all.\n\nThe third link lists online statistics textbooks.  The Statistics Homepage is especially good.