In probability theory, the central limit theorem (CLT) states that, under appropriate conditions, the distribution of a normalized version of the sample...

In probability theory, the central limit theorem says that, under certain conditions, the sum of many independent identically-distributed random variables...

In probability theory, the central limit theorem (CLT) states that, in many situations, when independent and identically distributed random variables...

each of which is positive. This is justified by considering the central limit theorem in the log domain (sometimes called Gibrat's law). The log-normal...

processes, the Markov chain central limit theorem has a conclusion somewhat similar in form to that of the classic central limit theorem (CLT) of probability...

particular, the central limit theorem provides an example where the asymptotic distribution is the normal distribution. Central limit theorem Suppose { X...

of equilibrium Lyapunov central limit theorem, variant of the central limit theorem Lyapunov vector-measure theorem, theorem in measure theory that the...

distributions are not known. Their importance is partly due to the central limit theorem. It states that, under some conditions, the average of many samples...

In probability theory, the central limit theorem states conditions under which the average of a sufficiently large number of independent random variables...

the surrogate for the correlations in the wider population. The central limit theorem is a refinement of the law of large numbers. For a large number...