Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...

This paper develops an algorithm to calculate the Brownian multivariate normal probability subject to any preset error tolerance criteria. The algorithm is founded ...

This is a preview. Log in through your library . Abstract The problem of sequentially testing whether the mean of a normal distribution is positive has been approximated by the continuous analogue ...

Over the last few decades, Lean Six Sigma has become an integral part of the world of business. It is one of the most ...

This is a graduate-level course focused on techniques and models in modern discrete probability. Topics include: the first and second moment methods, Chernoff bounds and large deviations, martingales, ...

This is a graduate-level course focused on techniques and models in modern discrete probability. Topics include: the first and second moment methods, martingales, concentration inequalities, branching ...

The binomial distribution is an important discrete distribution. It gives the probability of the number of "successes," in a sequence of n independent binary trials. This applet allows users to drag ...

Continuous Variable: can take on any value between two specified values. Obtained by measuring. Discrete Variable: not continuous variable (cannot take on any value between two specified values).