Data from an experiment may result in a graph indicating exponential growth. This implies the formula of this growth is \(y = k{x^n}\), where \(k\) and \(n\) are constants. Using logarithms, we can ...

This is a preview. Log in through your library . Abstract We extend the log-mean linear parameterization for binary data to discrete variables with arbitrary number of levels and show that also in ...

This is a preview. Log in through your library . Abstract Formulas are given for the expectation and variance of the number of components for two definitions of random graphs. The results extend those ...