approximate the moments of a function f of a random variable X using Taylor expansions, provided that f is sufficiently differentiable and that the moments of X...

cumulance Taylor expansions for the moments of functions of random variables Delta method Hernandez, Hugo (2016). "Modelling the effect of fluctuation...

moment problem Taylor expansions for the moments of functions of random variables Text was copied from Moment at the Encyclopedia of Mathematics, which...

inequality on location and scale parameters Taylor expansions for the moments of functions of random variables Moment problem Hamburger moment problem Carleman's...

differentiable function of a random variable which is asymptotically Gaussian. The delta method was derived from propagation of error, and the idea behind...

distribution is a type of continuous probability distribution for a real-valued random variable. The general form of its probability density function is f ( x ) =...

Taylor expansions for the moments of functions of random variables. For example, the approximate variance of a function of one variable is given by Var...

exist. Stein's method Taylor expansions for the moments of functions of random variables Stein discrepancy Ingersoll, J., Theory of Financial Decision Making...

expansions for the moments of functions of random variables Taylor's law – empirical variance-mean relations Telegraph process Test for structural change Test–retest...

(1:DCR) Quantile / (1:R) Survival function / (1:R) Taylor expansions for the moments of functions of random variables / (1:R) Bertrand's paradox / (1:M)...