Sentence examples for mom estimates from inspiring English sources

For maximum-likelihood estimation, we recommend using MOM estimates to start the iterative search for MLEs.

Building upon previous results, we investigate the performance of the following two estimators: (1) the constrained maximum likelihood (CML) estimator of Σ which uses the method of moments (MoM) estimates of λ and η and (2) a recursive (suboptimal) estimator of Σ, λ, and η.

While the SD-PWM estimates exhibit increased variability relative to the method of moment (MOM) estimates, SD-PWM wind speed estimates are generally conservative relative to the MOM estimates.

Let us focus on the MOM estimates and how these relate to prior information.

Because the MOM estimates of the prior distribution are specified by summary statistics, the MOM estimates for fall rates are 1/ θ = y ¯ / s2 and k = y ¯ / s2 telling us that the higher the mean or the lower the variance is, the more "equivalent prior" number of patient days.

The MOM estimates for fall rates are 1/ θ = y ¯ / s2 = 4.31/4.61 = 0.93 and k = y ¯ / s2 = 4.31/4.61 = 4.02 telling us the information from other units provides around one-thousand patient days (around 11 patients per 24 hour days) and just over 4 falls.

The MoM estimate for replicate-level parameters are θ ^ j i = r j i n j i.

To estimate them, we use the low computational complexity (but suboptimal) MoM estimators.

Pet-owners I know -- many of whom refer to themselves as "doggy daddies" or "dog moms" -- estimate the cost of owning a dog at $1,000 annually.

A new study finds that while moms accurately estimate the height of their elder children, they consistently underestimate the height of their youngest.

By some estimates, moms in the U.S. spend $2.1 trillion a year about 15% of the country's entire economy.