law of large numbers

In the insurance industry, this is known as the law of large numbers.

We have the law of large numbers to contend with.

This was then formalized as a law of large numbers.

As an example consider the law of large numbers.

"But don't assume anything, because under the law of large numbers we can develop a fairly good experience base."

"That's understandable, but the law of large numbers says we have to catch a break soon, right?"

Thereafter, it was known under both names, but the "Law of large numbers" is most frequently used.

The law of large numbers, after all, says that even the most successful companies can't triple their sales each year indefinitely.

But for now, Cisco is defying the law of large numbers.

The expectation is that the law of large numbers will make individual flawed results cancel one another out.

So by the strong law of large numbers, his long-term average cost per unit time is:

Slower growth, to be sure, is partly a "law of large numbers" phenomenon.

A central aspect of this explanation is the Law of large numbers.

The law of large numbers is affecting the company."

A probabilistic proof uses the weak law of large numbers.

It is the notion of convergence used in the strong law of large numbers.

It may be that a law of large numbers is what made cloning work in other species, she and other experts said.

The law of large numbers predicts little change over time due to genetic drift when the population is large.

By 1689 he had published important work on infinite series and published his law of large numbers in probability theory.

It's called the law of large numbers.

The weak law of large numbers states: "

The central limit theorem can provide more detailed information about the behavior of than the law of large numbers.

Law of large numbers (unrelated, but the origin of the name)

Two representative mathematical results describing such patterns are the law of large numbers and the central limit theorem.

For example, the Law of large numbers states that the sample mean converges almost surely to the population mean.