Novel efficient estimators of finite population mean in simple random sampling by Khazan Sher, Muhammad Iqbal, Hameed Ali, Soofia Iftikhar, Maggie Aphane, Ahmed Audu

“…This study presents a methodological advancement in survey sampling, focusing on the development of efficient estimators for the finite population mean under Simple Random Sampling without Replacement (SRSWOR). …”
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Collaborative Filtering Recommendation-Based Random Negative Sampling and Graph Attention by Weiqiang Li, Xianghui Li, Xiaowen Liu, Xinhuan Chen, Ming Ma

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Random Model Sampling: Making Craig Interpolation Work When It Should Not by Marat Akhin, Sam Kolton, Vladimir Itsykson

“…Unfortunately this technique can be applied only to a pair of unsatisfiable formulae.In this work-in-progress paper we present an approach to function summarization based on Craig interpolation that overcomes its limitation by using random model sampling. It captures interesting input/output relations, strengthening satisfiable formulae into unsatisfiable ones and thus allowing the use of Craig interpolation. …”
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A Linear Fitting Algorithm Based on Modified Random Sample Consensus by Yujin Min, Yun Tang, Hao Chen, Faquan Zhang

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Exploiting collider bias to apply two-sample summary data Mendelian randomization methods to one-sample individual level data. by Ciarrah Barry, Junxi Liu, Rebecca Richmond, Martin K Rutter, Deborah A Lawlor, Frank Dudbridge, Jack Bowden

“…In this paper we describe a general procedure for optimally applying any two sample summary data method using one sample data. …”
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The Logistic Distribution as a Limit Law for Random Sums and Statistics Constructed from Samples with Random Sizes by Victor Yu. Korolev

“…Stefanski in 1990, it is demonstrated that the logistic distribution can be limiting for sums of a random number of random variables and other statistics that admit (at least asymptotically) additive representation and are constructed from samples with random sizes. …”
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Metabolites and coronary heart disease: A two sample Mendelian randomization by Yang Sheng, Feng Gao, Zhenyu Zhu, Tianjie Zhang, Wei Zhang

“…In this study, we sought to determine a bidirectional causal relationship between circulating metabolites and CHD and to explore whether circulating metabolites are associated with a decreased risk of CHD. Methods: In our two-sample Mendelian randomization (MR) study, the top SNPs associated with circulating metabolites (n = 24, 925) as well as CHD (n = 86, 995) were acquired from publicly available genome-wide association studies (GWAS). …”
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Noise and the risk of tinnitus: A two‐sample Mendelian randomized study by He‐Sen Huang, Kai‐Qin Chen, Wen‐Kao Zhou, Bin Zhang, Jing Gao, Fei Xie, Yu Du

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Non-parametric calibration estimation of distribution function under stratified random sampling by Abdullah Mohammed Alomair, Weineng Zhu, Usman Shahzad, Fawaz Khaled Alarfaj

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Imputation of missing data for domain mean estimation using simple random sampling by Anoop Kumar, Shashi Bhushan, Rohini Pokhrel, Amer I. Al-Omari, Ayed R.A. Alanzi, Shokrya S. Alshqaq

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Improved neutrosophic exponential-ratio estimator of population mean with simple random sampling by Bhatt Ravi Jitendrakumar, Ashish Kumar, Monika Saini

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Novel efficient estimators of finite population mean in stratified random sampling with application by Khazan Sher, Muhammad Ameeq, Muhammad Muneeb Hassan, Basem A. Alkhaleel, Sidra Naz, Olyan Albalawi

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An Improved Convergence Particle Swarm Optimization Algorithm with Random Sampling of Control Parameters by Lijun Sun, Xiaodong Song, Tianfei Chen

“…For the proposed algorithm, the random sampling strategy of control parameters is designed, which can promote the flexibility of algorithm parameters and simultaneously enhance the updating randomness for both particle velocity and position. …”
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Asymptotic Prediction for Future Observations of a Random Sample of Unknown Continuous Distribution by Magdy El-Adll, H. M. Barakat, Amany Aly

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Sample Distribution Approximation for the Ship Fleet Deployment Problem Under Random Demand by Qi Hong, Xuecheng Tian, Haoran Li, Zhiyuan Liu, Shuaian Wang

“…This problem inherently contains stochastic elements due to the random nature of cargo demand fluctuations. While the Sample Average Approximation (SAA) method has been widely adopted to address this uncertainty through empirical distributions derived from historical observations, its effectiveness is constrained by data scarcity in practical scenarios. …”
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Optimizing plane detection in point clouds through line sampling by José María Martínez-Otzeta, Jon Azpiazu, Iñigo Mendialdua, Basilio Sierra

Subjects: “…Random sample consensus…”
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On using a non-probability sample for the estimation of population parameters by Ieva Burakauskaitė, Andrius Čiginas

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Depression and the risk of fibromyalgia syndrome: a two-sample Mendelian randomization study by Xiaoshan Ma, Jing Sun, Ren Geng, Yao Zhao, Wanzhen Xu, Yining Jiang, Liyan Zhao, Yunqian Li

“…Previous studies have indicated a correlation between depression and the risk of FM; however, it remains uncertain whether this association reflects a causal relationship.MethodsWe evaluated the etiological association between the genetically predicted depression and the risk of developing FM by conducting a two-sample Mendelian Randomization (MR) study. The data on single nucleotide polymorphisms (SNPs) related to depression were obtained from the UK Biobank (UKB) and the Psychiatric Genomics Consortium (PGC) of White British European ancestry, and the data for FM were from the 5th release of the FinnGen study. …”
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The Effect of Acylcarnitines on Cognitive Function: A Two‐Sample Mendelian Randomization Study by Sisi Luan, Jinyan Zhang, Chenglong Wang, Ziqi Wang, Jianbo Zhou

“…We conducted a Mendelian randomization (MR) study to examine the causal associations between 20 acylcarnitines and neurocognitive outcomes. …”
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Randomization in clinical trials with small sample sizes using group sequential designs by Daniel Bodden, Ralf-Dieter Hilgers, Franz König

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