Application of Principal Component Analysis for Steel Material Components by Miran Othman Tofiq, Kawa Muhammad Jamal Rasheed

“…To minimize the dimensionality of a data set that included a large range of connected variables while yet keeping as much variance within the data set as possible, we employed a method called principal component analysis (PCA). …”
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Determining Climatic Stable Areas of Kerman, applying Statistical Multivariable Methods by Kamal Omidvar, Marzieh Shamsodini Fard

“…The findings revealed that the climate of Kerman province is consisted of four factors called temperature, precipitation, humidity and wind, respectively, which include 90.77 percent variance of primary variables. …”
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STATISTICAL PROCESSING OF RESULTS OF TESTING OF STUDENTS by Yulia V. Gumennikova, Elena N. Ryabinova, Ruzilya N. Chernitsina

“…Combining adjacent mid-upper side of the rectangle of the histogram line segments, we received a broken line, called line empirical density. By type of line empiric density statistic put forward the hypothesis of normal distribution of the random variable. …”
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Link-centric analysis of variation by demographics in mobile phone communication patterns. by Mikaela Irene D Fudolig, Kunal Bhattacharya, Daniel Monsivais, Hang-Hyun Jo, Kimmo Kaski

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Childhood Obesity and Overweight in Ghana: A Systematic Review and Meta-Analysis by Prince Kwaku Akowuah, Emmanuel Kobia-Acquah

“…This systematic review and meta-analysis estimates the prevalence of childhood obesity and overweight in Ghana. …”
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UV Hyperspectral Imaging with Xenon and Deuterium Light Sources: Integrating PCA and Neural Networks for Analysis of Different Raw Cotton Types by Mohammad Al Ktash, Mona Knoblich, Max Eberle, Frank Wackenhut, Marc Brecht

“…Principal component analysis (PCA) and Quadratic Discriminant Analysis (QDA) were employed to differentiate between various cotton types and hemp plant. …”
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Adaptive dimensionality reduction for neural network-based online principal component analysis. by Nico Migenda, Ralf Möller, Wolfram Schenck

“…It performs an orthonormal transformation to replace possibly correlated variables with a smaller set of linearly independent variables, the so-called principal components, which capture a large portion of the data variance. …”
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Establishing the best step-up treatments for children with uncontrolled asthma despite inhaled corticosteroids: the EINSTEIN systematic review, network meta-analysis and cost-effec... by Sofia Cividini, Ian Sinha, Giovanna Culeddu, Sarah Donegan, Michelle Maden, Katie Rose, Olivia Fulton, Dyfrig Hughes, Stephen Turner, Catrin Tudur Smith

“…We found that a medicine called leukotriene receptor antagonist is not a good option by itself. …”
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The analysis of volatility of gold coin price fluctuations in Iran using ARCH & VAR models by Younos Vakilolroaya

“…The aim of this study is to investigate the changes in gold price and modeling of its return volatility and conditional variance model. The study gathers daily prices of gold coins as the dependent variable and the price of gold in world market, the price of oil in OPEC, exchange rate USD to IRR and index of Tehran Stock Exchange from March 2007 to July 2013 and using ARCH family models and VAR methods, the study analysis the data. …”
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Adaptive Steered Frequency–Wavenumber Analysis for High-Frequency Source Localization in Shallow Water by Y. H. Choi, Gihoon Byun, Donghyeon Kim, J. S. Kim

“…A recently proposed technique, called the steered frequency–wavenumber (SFK) analysis method, overcomes this limitation. …”
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Mathematical Modeling and Structural Equation Analysis of Acceptance Behavior Intention to AI Medical Diagnosis Systems by Kai-Chao Yao, Sumei Chiang

“…IQ was identified as a mediating variable, with variance accounted for (VAF) coefficient analysis confirming its complete mediation effect on the path from ATU to ABI. …”
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Can traditional games improve gross motor performance of elementary school students? Meta-analysis study by Iqbal Maulana, Sigit Nugroho, Ahmad Nasrulloh

“…The following stage is data analysis. There are five procedures for analyzing data: 1] filtering variables, 2] recording t-count/f-count values, 3] converting t-count/f-count values into r values, converting r values into effect sizes of the article being analyzed, 4] analyzing the variance or it can be called the z value, analyzing the Standard error of the effect size or z value, 5] analyzing the summary effect. …”
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Self-efficacy in Higher Education for Students “over the age of 23”: study of a scale by Cláudia Noémia Soares de Sousa, Rita Manuela de Almeida Barros, Angélica Maria Reis Monteiro

“…Conclusion High correlations between the three first-order factors and lack of discriminant validity evidence (assessed using Average Variance Extracted) between two of them raised questions about subscore utility, with the further analysis pointing to the lack of sufficient evidence that these should be reported instead of just a single total score.…”
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Radon exposure and potential health effects other than lung cancer: a systematic review and meta-analysis by Afi Mawulawoe Sylvie Henyoh, Olivier Laurent, Corinne Mandin, Enora Clero

“…DerSimonian & Laird estimator was used to estimate the between-study variance. For each health outcome, analyses were performed separately for mine workers, children, and adults in the general population.ResultsA total of 129 studies were included in the systematic review and 40 distinct studies in the meta-analysis. …”
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Association analysis between polygenic risk scores and traits: practical guidelines and tutorial with an illustrative data set of schizophrenia by Itziar Irigoien, Patricia Mas-Bermejo, Patricia Mas-Bermejo, Sergi Papiol, Sergi Papiol, Sergi Papiol, Neus Barrantes-Vidal, Neus Barrantes-Vidal, Neus Barrantes-Vidal, Araceli Rosa, Araceli Rosa, Araceli Rosa, Concepción Arenas

“…It contains a motivating real data case analyzed exhaustively to illustrate how to face a real analysis. Besides, it is accompanied by four examples, called Working Examples, which present different situations the researcher may encounter along with the R code for analyzing all these data sets and the corresponding application of the steps in this guide.…”
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Integrated analysis of direct and proxy genome wide association studies highlights polygenicity of Alzheimer's disease outside of the APOE region. by Javier de la Fuente, Andrew D Grotzinger, Riccardo E Marioni, Michel G Nivard, Elliot M Tucker-Drob

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A Coupled Adaptive Kriging Model and Generalized Subset Simulation Hybrid Reliability Analysis Method for Rare Failure Events by Yunhan Ling, Huajun Peng, Yong Sun, Chao Yuan, Zining Su, Xiaoxiao Tian, Peng Nie, Hengfei Yang, Shiyuan Yang

“…This research proposes a novel hybrid reliability analysis method for rare failure events, which integrates the coupled Adaptive Kriging model and Generalized Subset Simulation (AK-GSS). …”
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Path Analysis and correlation between quantitative traits in cultivated sugar beet germplasms (Beta vulgaris L.), under rhizomania disease conditions in Miandoab by Mousa Arshad, Behzad Ghanbari taghi abad, Hamid Hatami Maleki, Keivan Fotuhi

“…Results: Based on the results of variance analysis of data, significant differences were observed between genotypes in terms of all traits. …”
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Reassessment Individual Growth Analysis of the Gulf Corvina, <i>Cynoscion othonopterus</i> (Teleostei: Sciaenidae), Using Observed Residual Error by Eugenio Alberto Aragón-Noriega, José Adán Félix-Ortiz, Jaime Edzael Mendivil-Mendoza, Gilberto Genaro Ortega-Lizárraga, Marcelo Vidal Curiel-Bernal

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Impact of acoustic index parameters on soundscape comparisons by James Kemp, Juan Carlos Azofeifa‐Solano, Diego R. Barneche, Rohan Brooker, J. Edgardo Arévalo, Christine Erbe, Miles Parsons

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