where X is the design matrix, x i is the transpose of the i th row of X, and V is the variance function. The matrix W o is diagonal with its i th diagonal element where The primes denote derivatives ...

Formulation of the Mixed Model The previous general linear model is certainly a useful one (Searle 1971), and it is the one fitted by the GLM procedure. However, many times the distributional ...

We developed fullRankMatrix primarily for one-hot encoded design matrices used in linear models. In our case, we were faced with a 1-hot encoded design matrix, that had a lot of linearly dependent ...

Starting with the basic linear model where the design and covariance matrices are of full rank, this book demonstrates how the same statistical ideas can be used to explore the more general linear ...

A linear sensor model can be represented by a straight line equation, such as y = mx + b, where y is the output, x is the input, m is the slope, and b is the intercept.

A new observer design in explicit structure for a class of implicit linear models (ILMs) in presence of actuator and sensor faults is given in this paper. First, the study is based on the second ...

Aiming at the efficient online solution of the time-variant linear matrix inequality (LMI) under nonideal conditions (e.g., noise pollution), a predefined-time convergent and integral-enhanced zeroing ...