Analysis of Multiple Longitudinal Data under the First-Order Autoregressive;

Therefore, it is necessary to think about both the cross-sectional and the longitudinal correlation when analyzing multiple longitudinal data.

Asymptotic normality of estimators in semiparametric regression model for longitudinal data;

Application of Quasi-likelihood Independence Criterion in GEE Analyses of Longitudinal Data;

New method for landslide forecast and its application based on longitudinal data and catastrophic theory

A new multivariate data visualization method named point-score parallel coordinates (PSPC) is proposed in this paper.

This article combines the techniques of information visualization and machine learning to bring forward a Bayesian visual classification method based on parallel coordinates graphical representation of multivariate data.

Application of measurement uncertainty in multi-data processing

Aiming at solving the problem of measuring the measurement error evaluation quality during the multi-data processing, this paper analyzed the evaluation and calculation methods of measurement uncertainty,discussed the normality test strategy of measurement data and made error analysis and treatment of multi-data by using combined standard uncertainty.