estimate_prod | R Documentation |
This family of functions computes univariate descriptive statistics for the products of two variables denoted as "x" and "y" (e.g., mean(x * y) or var(x * y)) and the covariance between the products of "x" and "y" and of "u" and "v" (e.g., cov(x * y, u * v) or cor(x * y, u * v)). These functions presume all variables are random normal variables.
Available functions include:
estimate_mean_prod
: Estimate the mean of the product of two variables: x * y.
estimate_var_prod
: Estimate the variance of the product of two variables: x * y.
estimate_cov_prods
: Estimate the covariance between the products of two pairs of variables: x * y and u * v.
estimate_cor_prods
: Estimate the correlation between the products of two pairs of variables: x * y and u * v.
estimate_mean_prod(mu_x, mu_y, cov_xy)
estimate_var_prod(mu_x, mu_y, var_x, var_y, cov_xy)
estimate_cov_prods(mu_x, mu_y, mu_u, mu_v, cov_xu, cov_xv, cov_yu, cov_yv)
estimate_cor_prods(
mu_x,
mu_y,
mu_u,
mu_v,
var_x,
var_y,
var_u,
var_v,
cov_xu,
cov_xv,
cov_yu,
cov_yv,
cov_xy,
cov_uv
)
mu_x |
Expected value of variable x. |
mu_y |
Expected value of variable y. |
cov_xy |
Covariance between x and y. |
var_x |
Variance of variable x. |
var_y |
Variance of variable y. |
mu_u |
Expected value of variable u. |
mu_v |
Expected value of variable v. |
cov_xu |
Covariance between x and u. |
cov_xv |
Covariance between x and v. |
cov_yu |
Covariance between y and u. |
cov_yv |
Covariance between y and v. |
var_u |
Variance of variable u. |
var_v |
Variance of variable v. |
cov_uv |
Covariance between u and v. |
An estimated statistic computed from the products of random, normal variables.
Bohrnstedt, G. W., & Goldberger, A. S. (1969). On the exact covariance of products of random variables. Journal of the American Statistical Association, 64(328), 1439. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.2307/2286081")}
Goodman, L. A. (1960). On the exact variance of products. Journal of the American Statistical Association, 55(292), 708. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.2307/2281592")}
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