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...

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...

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...

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...

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

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

the mean flux and its negative, is accurately described by the central limit theorem. This means that the distribution is Gaussian near the mean and...

In probability theory, the de Moivre–Laplace theorem, which is a special case of the central limit theorem, states that the normal distribution may be...