A transition model for analyzing multivariate longitudinal data using Gaussian copula approach
DOI10.1007/s10182-018-00346-wzbMath1457.62151OpenAlexW2907821591WikidataQ128645562 ScholiaQ128645562MaRDI QIDQ2218560
T. Baghfalaki, Mojtaba Ganjali
Publication date: 15 January 2021
Published in: AStA. Advances in Statistical Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10182-018-00346-w
Directional data; spatial statistics (62H11) Inference from spatial processes (62M30) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Characterization and structure theory for multivariate probability distributions; copulas (62H05)
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