• Suche: Using multivariate statistics

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161

Reevaluation of pollen differentiation in Altingiaceae: Challenges in distinguishing deciduous (Liquidambar) and evergreen (Altingia) types using multivariate statistics and machine learning.
Zhang, Shunjie ; Mao, Limi ; Lai, Yangjun
Review of Palaeobotany & Palynology. Dec2024, Vol. 331, pN.PAG-N.PAG. 1p.

FOSSIL pollen MULTIVARIATE analysis PALYNOLOGY WOODY plants LEAF morphology
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162

Analysis of the Network Readiness Index (NRI) Using Multivariate Statistics
Tokmergenova, Madina ; Dobos, Imre
Periodica Polytechnica Social and Management Sciences; Vol. 32 No. 1 (2024); 28-36 ; 1587-3803 ; 1416-3837

digital transformation m... Network Readiness Index... correlation analysis principal component anal... partial correlation anal...
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163

Addressing the multigroup discriminant problem using multivariate statistics and mathematical programming
Rune Höglund ; Ralf Östermark
European Journal of Operational Research. 108:224-237

Applications of mathemat... Multivariate analysis 0211 other engineering a... 0202 electrical engineer... Mathematical programming 02 engineering and techn... …
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164

Fault reconstruction in linear dynamic systems using multivariate statistics
LIEFTUCHT, D ; KRUGER, U ; IRWIN, G. W ; et al.
IEE proceedings. Control theory and applications. 153(4):437-446

Control theory, operatio... Automatique, recherche o... Sciences exactes et tech... Exact sciences and techn... Sciences appliquees Applied sciences …
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165

Prediction of Strength Parameters of Thermally Treated Egyptian Granodiorite Using Multivariate Statistics and Machine Learning Techniques
Mohamed Elgharib Gomah ; Guichen Li ; Naseer Muhammad Khan ; et al.
MDPI, Mathematics. 10(23):1-21

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166

Using multivariate statistics. : 5. ed.
Tabachnick, Barbara G., Verfasser ; Fidell, Linda S., Verfasser

Empirische Forschung Faktorenanalyse Hypothese Mehrebenenanalyse Multivariate Analyse Strukturgleichungsmodell …
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167

Distribution and Risk Assessment of Metals in Sediments from Taihu Lake, China Using Multivariate Statistics and Multiple Tools
Yuan Zhang ; Tao Yu ; Xiaona Hu
Bulletin of Environmental Contamination and Toxicology. 89:1009-1015

China Geologic Sediments 0211 other engineering a... 02 engineering and techn... Risk Assessment 01 natural sciences …
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168

Detection of incipient tooth defect in helical gears using multivariate statistics
BAYDAR, N ; CHEN, Q ; BALL, A ; et al.
Mechanical systems and signal processing. 15(2):303-321

Control theory, operatio... Automatique, recherche o... Mechanics acoustics Mécanique et acoustique Sciences exactes et tech... Exact sciences and techn... …
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169

Exploring genetic diversity of Dahlia (Dahlia variabilis Desf.) germplasm using multivariate statistics
Singh, Simrat ; Dhatt, Kiranjeet Kaur ; Bodla, Pankaj Kumar
Journal of Horticultural Sciences; Vol. 18 No. 1 (2023); 67-76 ; 2582-4899 ; 0973-354X

Characterization dahlia diversity index germplasm hierarchal clustering principal component anal...
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170

Improved diagnosis of sensor faults using multivariate statistics
LIEFTUCHT, Dirk ; KRUGER, Uwe ; IRWIN, George W
Proceedings of the 2004 American Control Conference ACC (June 30-July 2, 2004, Boston Massachusetts). :4403-4407

Control theory, operatio... Automatique, recherche o... Sciences exactes et tech... Exact sciences and techn... Sciences appliquees Applied sciences …
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171

Analyzing Operation Deviation in the Deasphalting Process Using Multivariate Statistics Analysis Method
Jong-Soo Kim ; Tai-Suk Kim ; Joo-Hwang Park
Journal of Korea Multimedia Society. 17:858-865

8. Economic growth 0202 electrical engineer... 02 engineering and techn... 3. Good health
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172

Flood susceptibility mapping in Indian Sundarban delta using multivariate statistics and machine learning algorithms in GIS.
Kundu, Souvik ; Mondal, Tarun Kumar
Stochastic Environmental Research & Risk Assessment; May2025, Vol. 39 Issue 5, p2039-2062, 24p

MACHINE learning SALTWATER encroachment PRIME factors (Mathemati... STORM surges RANDOM forest algorithms
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173

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175

Influence of natural and anthropogenic factors on the hydrogeology and hydrogeochemistry of Wadi Itwad Aquifer, Saudi Arabia: Assessment using multivariate statistics and PMWIN simulation
Khan, Mohd Yawar Ali ; ElKashouty, Mohamed ; Abdellattif, Ayman ; et al.
Ecological Indicators ; volume 151, page 110287 ; ISSN 1470-160X

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176

Exploring the relationship between land use and surface water quality using multivariate statistics in arid and semi-arid regions
A.R. Keshtkar ; M. Mahdavi ; A. Salajegheh ; et al.
Desert, Vol 16, Iss 1, Pp 33-38 (2011)

iran land use principal components ana... surface water quality Agriculture Ecology …
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177

Quantitative Structure‐Activity Relationships for PPAR‐γ Binding and Gene Transactivation of Tyrosine‐Based Agonists Using Multivariate Statistics
Giaginis, C. ; Theocharis, S. ; Tsantili-Kakoulidou, A.
Chemical Biology & Drug Design. 72:257-264

Models, Molecular PPAR gamma Transcriptional Activati... 0301 basic medicine 0303 health sciences 03 medical and health sc... …
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178

Relationship between the human development index and the behavior of PM2.5 in USA, using multivariate statistics and machine learning.
Sanmartin, Paul ; Castillo, Margarita ; Galvis, Stephanie ; et al.
Transactions on Energy Systems & Engineering Applications (TESEA); 2025, Vol. 6 Issue 1, p1-13, 13p

UNITED States HUMAN Development Index PARTICULATE matter MACHINE learning POVERTY MULTIVARIATE analysis …
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179

Improved diagnosis of sensor faults using multivariate statistics.
Dirk Lieftucht ; Uwe Krüger 0001 ; George W. Irwin
ACC. :4403-4407

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180

Machine learning-based prediction of drinking water quality index in Western Tehran using KAN, MLP, and traditional models.
Boroujerd, Laleh Mahmoudian ; Shakerdonyavi, Alireza ; Asadgol, Zahra ; et al.
Environmental Monitoring & Assessment. Sep2025, Vol. 197 Issue 9, p1-22. 22p.

Water quality Drinking water analysis Machine learning Prediction models Multivariate analysis Artificial neural networ... …
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