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Multivariate Analysis of Mixed Data: The R Package PCAmixdata [PDF]
, 2017 Mixed data arise when observations are described by a mixture of numerical and categorical variables. The R package PCAmixdata extends standard multivariate analysis methods to incorporate this type of data.
Chavent, Marie +3 more
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Univariate and Multivariate Statistical Analysis of Microbiome Data: An Overview
Applied Microbiology, 2023 Microbiome data is high dimensional, sparse, compositional, and over-dispersed. Therefore, modeling microbiome data is very challenging and it is an active research area.
Hani Aldirawi, Franceskrista G. Morales
doaj +1 more source
Classification of Hungarian medieval silver coins using x-ray fluorescent spectroscopy and multivariate data analysis [PDF]
, 2013 A set of silver coins from the collection of Déri Museum Debrecen (Hungary) was examined by X-ray fluorescent elemental analysis with the aim to assign the coins to different groups with the best possible precision based on the acquired chemical ...
Elek, János +3 more
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Multivariate Analysis of Geological Data for Regional Studies of Geodiversity
Resources, 2022 In Norway, a landscape map exists which gives the opportunity to collect data in landscape units for further analysis. This study covers parts of Norway and Sweden, so the landscape map was extended into Sweden to form a unified landscape structure.
Lars Erikstad +6 more
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A MULTIVARIATE DATA ANALYSIS OF LOGISTICS STRUCTURE AS A FACTOR OF COMPETITIVENESS
Brazilian Journal of Operations & Production Management, 2017 The importance of logistics structure to economies is becoming increasingly significant and in order to support the economic growth based on exports, governments have sought to constantly improve the quality of logistics infrastructure of their countries,
Henrique Duarte Carvalho +1 more
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Pharmaceuticals, 2021 Psychotria malayana Jack leaf, known in Indonesia as “daun salung”, is traditionally used for the treatment of diabetes and other diseases. Despite its potential, the phytochemical study related to its anti-diabetic activity is still lacking.
Tanzina Sharmin Nipun +11 more
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Multivariate data analysis: The French way
, 2008 This paper presents exploratory techniques for multivariate data, many of them well known to French statisticians and ecologists, but few well understood in North American culture.
Holmes, Susan
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Multivariate Comparison of Cytokine Profiles for Normal- and Low-Bone-Density Subjects
Diagnostics, 2019 Osteoporosis is a serious worldwide public health concern. The role of the immune system in the onset of osteoporosis in postmenopausal women is an area of current research.
Kamaludin Dingle, Fawaz Azizieh
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Consumer preferences and purchasing rationales for wine: a multivariate data analysis
New Medit, 2020 The wine market is very heterogeneous and complex, being the knowledge of the behaviour and attitudes of consumers a key tool to design efficient marketing plans, namely in countries that are traditionally wine producers and consumers, such as Portugal ...
Carla Ferreira +5 more
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Multivariate Fitting and the Error Matrix in Global Analysis of Data [PDF]
, 2000 When a large body of data from diverse experiments is analyzed using a theoretical model with many parameters, the standard error matrix method and the general tools for evaluating errors may become inadequate.
A. D. Martin +12 more
core +2 more sources