Noun:

বড় সংখ্যার আইন,

law of large numbers's Usage Examples:

In probability theory, the law of large numbers (LLN) is a theorem that describes the result of performing the same experiment a large number of times.

results in probability theory describing such behaviour are the law of large numbers and the central limit theorem.

defined and used to characterize Banach spaces that have the strong law of large numbers by Anatole Beck in 1962; accordingly, "B-convexity" is understood.

A law of large numbers for the number of particles in the process on the integers informally.

to in the law of large numbers.

The monograph by Athreya and Ney summarizes a common set of conditions under which this law of large numbers is valid.

By the law of large numbers, the sample averages converge almost surely (and therefore also converge.

use of this concept include the strong and uniform versions of the law of large numbers, and the continuity of the paths of Brownian motion.

Kurtz publishing a law of large numbers and central limit theorem for Markov chains.

renewal process has asymptotic properties analogous to the strong law of large numbers and central limit theorem.

The law of large numbers states that, on the average of the sequence, i.

The weak law of large numbers implies that ⟨ φ , E ⁡ [ v ¯ N ] − λ ⟩ → 0 {\displaystyle \langle.

The law of large numbers states that the larger the size of the sample, the more likely it.

ideas in probability theory, such as the very first version of the law of large numbers: indeed, it is widely regarded as the founding work of that subject.

field of probability, where he derived the first version of the law of large numbers in his work Ars Conjectandi.

operates “in between” the law of large numbers and the central limit theorem.

There are two versions of the law of large numbers — the weak and the strong.

observation in traffic engineering is that in large systems the law of large numbers can be used to make the aggregate properties of a system over a long.

sequential analysis, statistical estimation in diffusion processes, the law of large numbers and central limit theorems, resampling methods, censored data problems.

he formulated the Bienaymé–Chebyshev inequality concerning the law of large numbers and the Bienaymé formula for the variance of a sum of uncorrelated.

Derek da Cunha has proposed that the law of large numbers favours the GRC system.

Synonyms:

large; big;

Antonyms:

little; small; nonpregnant;