Multivariate Statistical Analyses of the Temporal Variation in the Chemical Composition of the Essential Oil of <i>Eucalyptus torquata</i> in Cyprus by Mustapha Bulama Modu, Duygu Yiğit Hanoğlu, Azmi Hanoğlu, Fehmi Burak Alkaş, K. Hüsnü Can Başer, Dudu Özkum Yavuz

“…The aim of this study was to investigate the possible seasonal variations in the chemical composition of the essential oils of juvenile and mature leaves collected from Nicosia, Cyprus, by using multivariate statistical analysis. The leaves of 12 monthly collections were separately hydrodistilled, and GC-FID and GC/MS analyses were conducted. …”
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Statistical Analysis of Relationships between Monthly Maximum Temperatures in Iran and Global Mean Land-Ocean Temperature Anomalies by Yosouf ghavidel rahimi, Manochehr farajzadeh, Mehdi alijahan

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Insights on Climate-Driven Fluctuations of Cave 222Rn and CO2 Concentrations Using Statistical and Wavelet Analyses by Concepcion Pla, Angel Fernandez-Cortes, Soledad Cuezva, Juan Jose Galiana-Merino, Juan Carlos Cañaveras, Sergio Sanchez-Moral, David Benavente

“…For this purpose, we combined a set of mathematical methods that included a statistical and wavelet analysis of a 6-year time series in Rull Cave (Spain). …”
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Optimization of Acid Protease Production by Aspergillus niger I1 on Shrimp Peptone Using Statistical Experimental Design by Rayda Siala, Fakher Frikha, Samiha Mhamdi, Moncef Nasri, Alya Sellami Kamoun

“…Under the proposed optimized conditions, the experimental protease production (183.13 U mL−1) closely matched the yield predicted by the statistical model (172.57 U mL−1) with R2=0.914. Compared with the initial M1 medium on which protease production was 43.13 U mL−1, a successful and significant improvement by 4.25 folds was achieved in the optimized medium containing (g/L): hulled grain of wheat (HGW) 5.0; KH2PO4 1.0; NaCl 0.3; MgSO4(7H2O) 0.5; CaCl2 (7H2O) 0.4; ZnSO4 0.1; Na2HPO4 1.6; shrimp peptone (SP) 1.0. …”
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Sustainability study and SWOT analysis of mixed biofuel blends in engine at various injection pressure analysed by experimentally and statistically by Jagan Padmanaban, Annamalai Kandasamy, Elumalai Perumal Venkatesan, Sreekanth Sura, C. Ahamed Saleel, Nasim Hasan, Lin Zhenxiong

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Deciding which is the best ${}^1\protect \text{H}$ NMR predictor for organic compounds using statistical tools by Mah, Wern Huay, Ahmad Nazuan, Nadzran Hafiy, Yeap, Wei Sheung, Fakharudin, Farah Hasyeena, Faye, Ibrahima, Wilfred, Cecilia Devi

“…The results from the statistical analysis were used to predict chemical shifts of three organic compounds.…”
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Statistical Evaluation and Trend Analysis of ANN Based Satellite Products (PERSIANN) for the Kelani River Basin, Sri Lanka by Helani Perera, Miyuru B. Gunathilake, Ravindu Panditharathne, Najib Al-mahbashi, Upaka Rathnayake

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Parental Mental Health and Child Maltreatment in the COVID-19 Pandemic: Importance of Sampling in a Quantitative Statistical Study by Lara Engelke, Claudia Calvano, Steffi Pohl, Sibylle Maria Winter, Babette Renneberg

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Statistical Optimization of Bioleaching for Simultaneous Recovery of Cu, Sn, Pb, and Zn from Computer-Printed Circuit Boards by Murugesan Manikkampatti Palanisamy, Venkata Ratnam Myneni, Akilamudhan Palaniappan, Padmapriya Veerappan, Minar Mohamed Lebbai, G. Kavitha

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Blind detection for image steganography using short du ate codes statistical model for Hilbert scanning sequences by Shang-ping ZHONG, Qiao-fen XU, Wen-zhong GUO, Bin LIAO

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Statistical Inference of the Class of Nonparametric Tests for the Panel Count and Current Status Data from the Perspective of the Saddlepoint Approximation by Abd El-Raheem M. Abd El-Raheem, Mona Hosny, Ehab F. Abd-Elfattah

“…Many statisticians resort to using the asymptotic normal approximation method to carry out statistical inference for many statistical tests, especially nonparametric ones. …”
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Comparing Statistical and Machine Learning Methods for Time Series Forecasting in Data-Driven Logistics—A Simulation Study by Lena Schmid, Moritz Roidl, Alice Kirchheim, Markus Pauly

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Evaluation of hydro-chemical facies and surface water quality dynamics using multivariate statistical approaches in Southern Nigeria by E. A Ubuoh, F. U Nwogu, E. Q Ossai-Abeh, J. C Ikwuemesi, A. O Oke, J. D Umoh

“…Twenty water samples were taken, analyzed, and subjected to mathematical statistics: Gibbs plot, trilinear piper analysis, stiff pattern analysis, ionic scatter analysis, correlation, and principal component analysis. …”
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Statistical Peculiar Features of Surface Cracking on Flat Clay Samples of Plastic Moulding when Heated by Heat Flow by I. K. Ivanovsky

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Estimating pros and cons of statistical downscaling based on EQM bias adjustment as a complementary method to dynamical downscaling by Alfredo Reder, Giusy Fedele, Ilenia Manco, Paola Mercogliano

“…Abstract The increasing availability of coarse-scale climate simulations and the need for ready-to-use high-resolution variables drive the climate community to the challenge of reducing computational resources and time for downscaling purposes. To this end, statistical downscaling is gaining interest as a potential strategy for integrating high-resolution climate information obtained through dynamical downscaling over limited years, providing a clear understanding of the gains and losses in combining dynamical and statistical downscaling. …”
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Treatment Patterns for Patients on Overactive Bladder Therapy: A Retrospective Statistical Analysis Using Canadian Claims Data by Adrian Wagg, Demitri Diles, Todd Berner

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Sensitivity analysis on natural convective trapezoidal cavity containing hybrid nanofluid with magnetic effect: Numerical and statistical approach by Sweety Khatun, Rupa Kundu, Saiful Islam, Ritu Aktary, Dipankar Kumar

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Prediction of Al2O3 leaching recovery in the Bayer process using statistical multilinear regresion analysis by Đurić I., Đorđević P., Mihajlović I., Nikolić Đ., Živković Ž.

“…Mathematical model is defined using the stepwise MLRA method, with R2 = 0.764 and significant statistical reliability - VIF&lt;2 and p&lt;0.05, on the one-year statistical sample. …”
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What you don’t know can hurt you: a statistical commentary on missing data in trauma research by Molly P Jarman, James P Byrne

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The relationship between activities of daily living and speech impediments based on evidence from statistical and machine learning analyses by Liu Jun, Hongguo Li, Yu Mao, Lan Hu, Dan Wu

“…Machine learning algorithms validated the statistical findings, confirming the predictive accuracy of ADL for SI, with the area under the curve (AUC) scores of SVM-AUC = 0.648, DT-AUC = 0.931, and LR-AUC = 0.666. …”
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