Abstract: In many manufacturing studies, longitudinal failure time data comprise repeated exponential responses, and a set of multi-dimensional covariates ...
In many manufacturing studies, longitudinal failure time data comprise repeated exponential responses, and a set of multi-dimensional covariates for a large ...
We review five nonstationary models that we regard as most useful: (1) the unstructured covariance model, (2) unstructured antedependence models, (3) structured ...
Missing: Exponential | Show results with:Exponential
Fixed Effects Models. 2.1 Basic fixed effects model. 2-1. 2.2 Exploring longitudinal data. 2-5. 2.3 Estimation and inference.
At the frontiers of modeling intensive longitudinal data: Dynamic structural equation models for the affective measurements from the cogito study.
In this article, we construct a novel pairwise likelihood method for longitudinal data that allows for dependence between observation times and outcomes.
We present a regression model for the joint analysis of longitudinal multiple source Gaussian data.
We model the mean process as the product of modulating factors and unobserved stationary processes. The former characterizes the long- run movement in the data, ...
Longitudinal data (or panel data) involve repeated observations of the same things at different points in time.
Oct 13, 2023 · ARIMA models involve differencing the data to make it stationary and then modeling it using autoregressive and moving average components.
Missing: Longitudinal | Show results with:Longitudinal