Author name: tirta

Binomial distribution provides a framework for determining the likelihood of success in a series of independent trials. Tail probability measures […]

Generalized Method of Moments (GMM) is an econometric technique that utilizes moment conditions to estimate unknown parameters. It enables researchers

Maximum likelihood estimation (MLE) is a statistical method used to estimate the unknown parameters of the gamma distribution given a

The zero-inflated Poisson distribution is a statistical model that addresses the issue of excess zeros in data that typically follows

Fluid dynamics, a branch of physics, investigates the behavior of fluids (liquids and gases) at rest or in motion. It

The moment generating function (MGF) of a geometric distribution with parameter p is given by M(t) = (1 – p)

The moment generating function (MGF) of chi-square distribution is utilized to describe its statistical properties. It provides a key insight

The moment generating function (mgf) of a gamma distribution with shape parameter α and rate parameter β is given by

The maximum likelihood estimate (MLE) of the Poisson distribution’s rate parameter λ involves finding the parameter value that maximizes the

The moment generating function (MGF) of a Poisson distribution with parameter λ is given by M(t) = e^(λ(e^t – 1)).

R provides a comprehensive suite of packages and functions for working with the gamma distribution. Packages like gammafit, fitdistrplus, and

The moment-generating function (mgf) of a Poisson distribution is given by e^(λ(e^t-1)), where λ is the mean of the distribution.