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Multivariate analysis in genstat
Journal of Statistical Computation and Simulation, 1978 Genstat is a general statistical language for data analysis. The facilities for multivariate and cluster analysis within the language are described as well as the many vector and matrix operations which can be used to form multivariate analysis programs. The contents of the standard macro library relevant to multivariate analysis are also discussed.
Banfield, C. F.
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Some aspects of non-standard multivariate analysis [PDF]
, 2021 A broad review is given of some areas of multivariate analysis that are not frequently emphasized. We start with situations in which underlying distributions are far from multivariate normal form, so that standard methods of multivariate analysis based ...
Battey, Heather, Cox, David R
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Development and Testing of an LED-Based Near-Infrared Sensor for Human Kidney Tumor Diagnostics
Sensors, 2017 Optical spectroscopy is increasingly used for cancer diagnostics. Tumor detection feasibility in human kidney samples using mid- and near-infrared (NIR) spectroscopy, fluorescence spectroscopy, and Raman spectroscopy has been reported (Artyushenko et al.,
Andrey Bogomolov +11 more
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Multivariate Statistical Analysis in the Real and Complex Domains [PDF]
, 2022 This book explores topics in multivariate statistical analysis, relevant in the real and complex domains. It utilizes simplified and unified notations to render the complex subject matter both accessible and enjoyable, drawing from clear exposition and ...
Haubold, Hans J. +2 more
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Navigating the landscape: Unveiling the reflection of AI in the sharing economy through bibliometric-based approach [PDF]
Zbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksuRecent scholarly attention has surged in integrating artificial intelligence (AI) across various scientific domains, prompting a closer examination of AI’s pervasive influence on economic paradigms like the sharing economy (SE).
Veljko Uskoković +3 more
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Insight into human pubertal growth by applying the QEPS growth model
BMC Pediatrics, 2017 Background Computerized mathematical models describing absolute and relative individual growth during puberty in both cm and standard deviation (SD)-scores are lacking.
Anton Holmgren +5 more
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A Multivariate Analysis of Covariance [PDF]
Biometrics, 1958 of treatment effects increased with treatment duration, and because one of the variables which originally had been intended for use as a concomitant control was affected by treatments. No satisfactory form of analysis for dealing with these complications was reached, and the problems raised seem worth re-examining.
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Multivariate Analysis in Metabolomics
Current Metabolomics, 2012 Metabolomics aims to provide a global snapshot of all small-molecule metabolites in cells and biological fluids, free of observational biases inherent to more focused studies of metabolism. However, the staggeringly high information content of such global analyses introduces a challenge of its own; efficiently forming biologically relevant conclusions ...
Worley, Bradley, Powers, Robert
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Journal of Agricultural Sciences, 2020 This study was carried out in order to compare in 20 different rangeland sample areas that determined in order to environmental variables, vegetation and soil properties by multivariate ordination analysis in Mugla province.
Mehmet Öten +8 more
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Sensors, 2020 In this study we develop a variant of fluorescent sensor array technique based on addition of fluorophores to samples. A correct choice of fluorophores is critical for the successful application of the technique, which calls for the necessity of ...
Elizaveta A. Rukosueva +6 more
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