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Discriminant Study with Classification of Underdeveloped and Developing City Districts in West Papua Province

Ekuilibrium: Jurnal Ilmiah Bidan Ilmu Ekonomi, 2020
This study aims to determine whether there are clear differences between groups on the dependent variable. This analysis uses the independent variable Life Expectancy (X1), Number of Health Facilities (Puskesmas) (X2), Number of Facilities (Supporting ...
Ramli Lewenussa, Rais Dera Pua Rawi
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Applied Multivariate Research, v.13 no.1 (complete version)

, 2009
The first issue of Applied Multivariate Research edited by Dennis L. JacksonDigitized and published in SOAR:Shocker Open Access Repository by Wichita State University Libraries Technical Services.Multivariate models for three dimensional data / James W ...

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Applied Multivariate Research, v.13 no.2 (complete version)

, 2010
The second issue of Applied Multivariate Research edited by Dennis L. JacksonDigitized and published in SOAR:Shocker Open Access Repository by Wichita State University Libraries Technical Services.The effects of estimator choice and weighting strategies ...

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Multivariate Cross-Classification: Applying machine learning techniques to characterize abstraction in neural representations

Frontiers in Human Neuroscience, 2015
Here we highlight an emerging trend in the use of machine learning classifiers to test for abstraction across patterns of neural activity. When a classifier algorithm is trained on data from one cognitive context, and tested on data from another ...
Jonas eKaplan, Jonas eKaplan, Kingson eMan, Steve Grant Greening, Steve Grant Greening   +4 more
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Multivariate genetic divergence among sugarcane clones by multivariate analysis associated with mixed models

Semina: Ciências Agrárias, 2014
This work had the aim to evaluate the genetic divergence in sugarcane clones using the methodology of graphic dispersion by principal components analysis associated to linear mixed models, indentifying the more divergent and productive genotypes with ...
Valéria Rosa Lopes , Joao Carlos Bespalhok Filho, Edelclaiton Daros, Ricardo Augusto Oliveira, Edson Perez Guerra   +4 more
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Quantum-Inspired Latent Variable Modeling in Multivariate Analysis

Latent variables play a crucial role in psychometric research, yet traditional models often struggle to address context-dependent effects, ambivalent states, and non-commutative measurement processes.
Theodoros Kyriazos, Mary Poga
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Interpretation of transformed axes in multivariate analysis

, 1993
Several multivariate statistical techniques involve an orthogonal transformation to new axes. These lead to new co-ordinates of a configuration usually in a lower dimensional space.
Arnold, G. M., Collins, A. J.
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KOMPARASI ANALISIS GEROMBOL (CLUSTER) DAN BIPLOT DALAM PENGELOMPOKAN

E-Jurnal Matematika, 2013
One of functions of multivariate analysis is to group data. Multivariate analysis often used in grouping  data are cluster analysis and biplot analysis. In this paper, a comparative analysis will be made between clusters analysis and biplot analysis  for
I MADE ANOM ARIAWAN, I PUTU EKA NILA KENCANA, NI LUH PUTU SUCIPTAWATI   +2 more
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Journal of Multivariate Analysis

, 1977
Texto completo. Acesso restrito. p. 397–408A problem of J. Neyman (in Classical and Contagious Discrete Distributions (G. P. Pat& Ed.), 1965, pp. 4-14) regarding a characterization of positive and negative multinomial distributions is studied in this ...
Ghosh, J.K., Sinha, Bikas Kumar, Sinha, Bimal Kumar   +2 more
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New Methods for Multivariate Normal Moments

Multivariate normal moments are foundational for statistical methods. The derivation and simplification of these moments are critical for the accuracy of various statistical estimates and analyses.
Christopher Stroude Withers
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