Examples of 'central limit theorem' in a sentence
Meaning of "central limit theorem"
central limit theorem: It is a fundamental concept in probability theory and statistics that describes the behavior of the average of a large number of independent and identically distributed random variables
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- The theorem that states that if the sum of independent identically distributed random variables has a finite variance, then it will be approximately normally distributed.
- Any of various similar theorems.
How to use "central limit theorem" in a sentence
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central limit theorem
The central limit theorem says that if.
It is a special case of the central limit theorem.
Central limit theorem and its generalizations.
It is useful because of the central limit theorem.
The central limit theorem has a number of variants.
It is mostly an application of the central limit theorem.
The central limit theorem would have still applied.
A history of the central limit theorem.
The central limit theorem gives only an asymptotic distribution.
Understand the central limit theorem.
Central limit theorem by simulation.
This follows from the central limit theorem.
The central limit theorem has a simple proof using characteristic functions.
Those methods use the central limit theorem.
On a functional central limit theorem for random walks conditioned to stay positive.
See also
The latter case is justified by the central limit theorem.
Central limit theorem for multiple integrals with respect to the empirical process.
Comment on central limit theorem.
This result is a specific case of the central limit theorem.
A uniform functional central limit theorem is also established for this wide class of poverty measures.
We establish a law of large numbers and a central limit theorem.
The central limit theorem implies that those statistical parameters will have asymptotically normal distributions.
Dice are ideal for illustrating the central limit theorem.
With Vu proved a central limit theorem on random points in convex bodies.
The reduction in error is based on the central limit theorem.
Central Limit Theorem interactive simulation to experiment with various parameters.
And that is a neat thing about the central limit theorem.
And the Central Limit Theorem states that if we have many samples of.
The normal distribution is useful because of the central limit theorem.
Svante Janson proved a central limit theorem for weight of the MST.
Its importance derives mainly from the multivariate central limit theorem.
We concentrate essentially on the central limit theorem and its invariance principle.
Species abundance distribution results from a spatial analogy of central limit theorem.
The Central Limit Theorem guarantees an approximately normal sampling distribution when n is sufficiently large.
The thermodynamic limit is essentially a consequence of the central limit theorem of probability theory.
The Central Limit Theorem does apply in this case.
The theoretical justification for the normality assumption is the central limit theorem.
Give one reason why the Central Limit Theorem does not apply in the above scenario.
Note that this assumes that the requirements of the central limit theorem are met.
Central Limit Theorem tells us that.
In effect de Moivre proved a special case of the central limit theorem.
This is what the Central Limit Theorem shows us.
The Central Limit Theorem is enormously important in applied statistics.
This is an example of the importance of the Central Limit Theorem in statistics.
The Central Limit Theorem is one of the most important concepts in Statistics.
There is a theorem called the Central Limit Theorem.
What is central limit theorem in statistics?
This is mainly a consequence of the Central Limit Theorem.
A central limit theorem was successfully proved for co-compact fuchsian hyperbolic groups.
This is the essence of the Central Limit Theorem.
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