However, there are drawbacks to normal probability and it can be difficult to determine whether or not a sample truly follows a normal distribution.

We study the asymptotic covariance function of the sample mean and quantile, and derive a new and surprising characterization of the normal distribution: the asymptotic covariance between the sample ...

Normal probability distribution is assumed in financial models; however, the returns of many securities tend to demonstrate a non-normal distribution.

where and represent the normal probability density and cumulative distribution functions. The following table shows a subset of the Mroz (1987) data set. In this data, Hours is the number of hours the ...

The multinomial distribution is a type of probability distribution used in finance to determine the likelihood of a certain set of outcomes.

For more information about the SPEC statement, see . The agreement between the empirical and the normal distribution functions in Output 2.1.1 is evidence that the normal distribution is an ...

The problem of constructing tolerance limits for a normal universe is considered. The tolerance limits are required to be such that the probability is equal to a preassigned value β that the tolerance ...

Sample mean. Sampling from the Normal distribution. Order statistics. Sample statistics. Sampling distributions. Parameter estimation. Interval estimation. Hypothesis testing. Maximum-likelihood ...