estimate

I would estimate that the private schools got more out of us at a tenth of the cost.

The result: estimates that are often way low.

"First, the “estimate” of $1 billion was partially set by Google itself.

So we must squeeze point estimates out of the true distribution.

Could be anything from a quick design fix to a wireframe or writing up a quick estimate.

And when we get push-back on that estimate, maybe we'll "take another look at the numbers" to see if we "missed any opportunities.

People, don't under-estimate the issue of signature limits!

Guess which estimates are going to get us the most push-back from the higher-ups?Now, we're swell guys and all, and we want to do a good job with our estimates.

Yet, why do you continue to give meaningless as-the-crow-flies estimates of how long it will take you to get to your destination?

In this case it is an estimate of how much the variance of a trait would be reduced if everyone were genetically identical.

If we think that giving a higher-end estimate is going to make us unpopular with the higher-ups, maybe we'll estimate a little lower.

> An FBI spokesperson said to Hill that the $80m worthThe FBI gave the number denominated in USD, so the journalist had to estimate the true number of BTC.

Experienced development managers will pad the hell out of the developers who give them the worst estimates.

Blind means that they have to first estimate the original convolution/blur kernel and in the second phase, apply the deconvolution.

Software-development estimates are regularly off by a large margin for two reasons.

Before leaping to disagree, stop and think about the fact that the typical estimate is that equivalent experiences are the reality of childhood for 20% of women and 5% of men.

In other words, S is a random variable, a mapping that ascribes a probability to each of the possible software systems that we could build to satisfy C. Therefore, our best estimate, even with the perfect estimating function F, is itself a random variable.

Rather than getting best estimates, they are explicitly requesting that scientists over-estimate the probability of disaster and cry wolf.

An effect size of the R2 family is a standardized estimate of the proportion of the variance in one variable that is reduced when another variable is held constant statistically.

It is a very common conceptual blunder, which should be corrected in any well edited genetics textbook, to confuse broad heritability estimates with statements about how malleable human traits are.

This means that we will continue to collect entropy even if the input pool is apparently "full".This is critical, because secondly their hypothetical attacks presume certain input distributions which have an incorrect entropy estimate --- that is, either zero actual entropy but a high entropy estimate, or a high entropy, but a low entropy estimate.