Consistent Estimators of the Population Covariance Matrix and Its Reparameterizations by Chia-Hsuan Tsai, Ming-Tien Tsai

“…A high-dimensional statistical hypothesis testing problem is used to carry out statistical inference for high-dimensional principal component analysis-related problems without the sparsity assumption. …”
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MOKSLO VERTYBINIO NEUTRALUMO PROBLEMA XX A. FILOSOFIJOJE (M. WEBERIS, ANALITINĖ MOKSLO FILOSOFIJA IR METAETIKA, KRITINĖ TEORIJA) by Zenonas Norkus

“…One of these difficulties is dependence of choice of significance level in statistical inference on practical considerations concerning consequences of the type I vs. type II error (this is a problem for logical empiricist philosophy of science). …”
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Lightweight Data Compression in Wireless Sensor Networks Using Huffman Coding by Henry Ponti Medeiros, Marcos Costa Maciel, Richard Demo Souza, Marcelo Eduardo Pellenz

“…When the data collected by the sensor nodes consists of integer measurements, the Huffman dictionary computed using statistics inferred from public datasets often approaches the entropy of the data. …”
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Sublinear Expectation Nonlinear Regression for the Financial Risk Measurement and Management by Yunquan Song, Lu Lin

“…Under the nonlinear expectation framework, however, the related statistical models and statistical inferences have not yet been well established. …”
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TMBocelot: an omnibus statistical control model optimizing the TMB thresholds with systematic measurement errors by Xin Lai, Shaoliang Wang, Xuanping Zhang, Xiaoyan Zhu, Yuqian Liu, Zhili Chang, Zhili Chang, Xiaonan Wang, Xiaonan Wang, Yang Shao, Yang Shao, Jiayin Wang, Yixuan Wang

“…However, measurement errors can compromise the accuracy of TMB assessments and the reliability of clinical outcomes, introducing bias into statistical inferences and adversely affecting TMB thresholds through cumulative and magnified effects. …”
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Analysing the role of the perceptual dimension in the formation of the urban third place by Upendra Joshi, Snehal Nagarsheth

“…We decipher the qualitative observations of the survey using Nvivo, a software tool that supports both descriptive and inferential statistical inferences. The consideration of age versus the diverse perceptual needs of the users explains the interrelationship while making it convenient for the statistical analysis of the study's observations. …”
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Relationship between personality traits and spontaneous coronary artery dissection risk: evidence from Mendelian randomization by Kun Zheng, Kun Zheng, Mengdi Wu, Junhua Wang, Junhua Wang, Jinjin Sun, Yuqian Li, Peng Wang, Zhiyue Zhang, Xiuming Pan, Yifeng Yang, Tianqi Li, Yujie Guo

“…Besides, data regarding SCAD and personality were extracted from expansive genome-wide association studies (GWAS), and rigorous statistical inferences were made using inverse variance weighting (IVW) and ancillary methodologies. …”
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Variation in Clinical Presentation, Metabolic Profile, Hormonal Parameters and Inflammatory Markers in Polycystic Ovary Syndrome Women with and without Polycystic Ovary Morphology... by Sweekruti Jena, Ipsita Mishra, Anoj Kumar Baliarsinha, Debarchan Jena, Madhumita Debata

“…P < 0.05 was considered significant for all statistical inferences. Results: The mean LDL and mean triglyceride were higher in Group 2, which was statistically significant (P = 0.004 and P ≤ 0.001, respectively). …”
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Characterizing the early relationship between covert narcissism and cognitive empathy in medical students: a cross-sectional study by Adelina Alcorta-Garza, Oscar Vidal-Gutiérrez, Juan F. González-Guerrero, Fernando Alcorta-Núñez, Guillermo A. Porras Garza, Montserrat San-Martín, Roberto C. Delgado Bolton, Luis Vivanco

“…This model complied with the necessary conditions for statistic inference and showed an effect size from medium to large. …”
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Factors affecting quality of life in women post mastectomy for breast cancer in Baheya Foundation (Egypt): ‘A retrospective cohort study’ by Salsabil Mohammed Abdelrahman, Maher Hassan Ibraheem, Hemat Allam, Vikash Sewram

“…Fisher’s exact and Kruskal-Wallis tests were used for statistical inferences. Generalized linear models were used to predict QoL measures (outcome) by sociodemographic and clinical variables (independent) with adjusting for potential confounders. …”
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