To define a likelihood we have to specify the form of distribution of the observations, but to define a quasi-likelihood function we need only specify a relation between the mean and variance of the ...

APPM 3310 - Matrix Methods and Applications APPM 3310 - Matrix Methods and Applications Introduces linear algebra and matrices with an emphasis on applications, including methods to solve systems of ...

Complex matrices, diagonalisation, special types of matrix and their properties. Jordan normal form, with applications to the solutions of differential and difference equations. Singular values, and ...

A simple matrix formula is given for the observed information matrix when the EM algorithm is applied to categorical data with missing values. The formula requires only the design matrices, a matrix ...

Figure 3.5.2. The derivative Use a linear approximation to estimate f (0.9) f (0.9) and f (1.1). f (1.1) . Are your estimates in part (a) too large or too small? State Newton's iterative formula that ...

Nonlinear regression is a form of regression analysis in which data fit to a model is expressed as a mathematical function.