Forecasting for any small business involves guesswork. You know your business and its past performance, but you may not be comfortable predicting the future. Using Excel is a great way to perform what ...
CATALOG DESCRIPTION: Fundamentals of random variables; mean-squared estimation; limit theorems and convergence; definition of random processes; autocorrelation and stationarity; Gaussian and Poisson ...
Journal of Applied Probability, Vol. 22, No. 4 (Dec., 1985), pp. 844-851 (8 pages) This note gives a method of finding an upper bound for the mean of the maximum of n identically distributed ...
n is the sample size. x is the point of interest; that is, the PROBMED function calculates the probability that the median is less than or equal to x. The PROBMED function computes the probability ...
This is a preview. Log in through your library . Abstract In this paper, we give some upper (lower) bounds on E max1 ≤ i ≤ n Xi(E min1 ≤ i ≤ n Xi), where the Xi's are real-valued random variables.
CATALOG DESCRIPTION: Fundamentals of random variables; mean-squared estimation; limit theorems and convergence; definition of random processes; autocorrelation and stationarity; Gaussian and Poisson ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback