Yiping Yang, Gaorong Li , Heng Peng: Empirical likelihood of varying coefficient errors-in-variables models with longitudinal data. 1-18.
This paper proposes a new model named as the multivariate generalized Poisson log-t geometric process (MGPLTGP) model to study multivariate time-series of ...
On small area estimation under a sub-area level model. Mahmoud Torabi and J.N.K. Rao. Journal of Multivariate Analysis, 2014, vol. 127, issue C, 36-55.
Bibliographic content of Journal of Multivariate Analysis.
Sufficient dimension reduction on marginal regression for gaps of recurrent events ; Number of pages, 16 ; Journal, Journal of Multivariate Analysis ; Volume, 127.
Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 127)) ... Mei, C., Fan, J.: Data Analysis Methods. Higher Education ...
Publication: Journal of Construction Engineering and Management. Volume 127, Issue 2. https://doi.org/10.1061/(ASCE)0733-9364(2001)127:2(93). 3,112 169. Metrics ...
Oct 28, 2020 · Volume 127, Issue 2 p. 266-274 Cancer. Original Article. Free Access. Multivariate mortality analyses in COVID-19: Comparing patients with ...
The journal welcomes contributions to all aspects of multivariate data analysis and modeling, including: cluster analysis, discriminant analysis, factor ...
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People also ask
What is the statistical significance of the MANOVA?
Specifically, MANOVA tests the statistical significance of a particular main effect or an interaction on each of the response measurement, as well as the significance of the overall effect.
Is MANOVA a multivariate analysis?
In statistics, multivariate analysis of variance (MANOVA) is a procedure for comparing multivariate sample means. As a multivariate procedure, it is used when there are two or more dependent variables, and is often followed by significance tests involving individual dependent variables separately.
What is the introduction of MANOVA?
Introduction. The term MANOVA comes from Multiple ANalysis Of Variance, and refers to a well established technique for comparing multivariate polulation means of several groups. This is done by essentially comparing the variance- covariance between variables to test the statistical significance of the mean differences.
What is multivariate data?
Multivariate data contains, at each sample point, multiple scalar values that represent different simulated or measured quantities.
This book originally grew out of our lecture notes for an "Applied Multivariate. Analysis" course offered jointly by the Statistics Department and the ...