to calculate variance and CV from multiple (weighted) variables

sumetp

Hello everybody,

My name is Sumet. I am studying in network traffic field. My background in statistic is not so strong; however, I have to calculate weighted sum of variables in order to determine variance and coefficient of variation (CV) of measured values. Please see the following descriptions. Any comments or suggestions for solution or suggestions for additional sources for references are very appreciated. Thank you.

Let X_i is a random variable of the measured value of something at the i^th second. And W_i=N_i/[tex]\sum[/tex]N_i, where N_i is the number of values obtain from measurement in the i^th second.

Among N_i values, E[X_i] and var[X_i] are mean and variance of X_i (calculated and recorded in the i^th second), respectively.

Over time T seconds, we obtain E[X₁], E[X₂],... ,E[X_T], Var[X₁], Var[X₂], ..., and Var[X_T].

Next, weighted sum of variables, [tex]\sum[/tex]W_iX_i, will be focused. It is clear that mean (over time T) of mean of X_i can be determined from


But, in many references, there is no clear description for determination of variance (over time T) of mean of X_i; they just say that


The followings are my understanding which I am not sure if it is correct. By the same manner as the above equation, the variance (over time T) of mean of X_i can be determined from


If X_i is statistical independent for each second, the terms Some_Covariance_Terms will be 0 and the equation becomes


And then CV can be calculated from the obtained mean from (1) and square root of the obtained variance from (2).