carl@aoa.UUCP (Carl Witthoft) (10/28/85)
I'm looking primarily for recommendations on decent advanced texts on probability and noise analysis of random variables. The guys in my group all have had undergrad training, game theory, Bayesian stats, MLE, etc., but we need to do some serious work on the following setup. So if you have any direct advice on solutions, that would be appreciated as well. Basic problem: Find the variance (as well as mean, and maybe skew) of x/y , where x and y are random variables with known distribution function (generally Gaussian, maybe Poisson).Noise in x and y is uncorrelated. Extended problem: same as above, except express x and y as x = xmean + cornoise +uncornoise y = ymean + cornoise +uncornoise where *mean is the expectation of the R.V., cornoise is a correlated noise term ( correlated between x and y ) and uncornoise is an uncorrelated noise term in each R.V. Please email all responses, and if any interest shown I'll post a summary. Thanks again. Darwin's Dad (Carl Witthoft) @ Adaptive Optics Assoc., 54 Cambridgepark Dr., Cambridge, MA 02140 617-864-0201 ...!{decvax,linus,ima,ihnp4,wjh12,wanginst}!bbncca!aoa!carl " Buffet-Crampon R-13 , VanDoren B-45, and VanDoren Fortes ."