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1

An improved class of estimators for mean estimation of finite population in simple random sampling
Jiawei Yao ; Jinping Ma
Alexandria Engineering Journal, Vol 129, Iss, Pp 672-681 (2025)

Class of estimators Simple random sampling Mean squared error Mean estimators TA1-2040 Engineering (General). C... …
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2

Joint Training and Reflection Pattern Optimization for Non-Ideal RIS-Aided Multiuser Systems
He, Zhenyao ; Xu, Jindan ; Shen, Hong ; et al.
IEEE Transactions on Communications. 72(9):5735-5751

Reconfigurable intellige... channel estimation least squares (LS) linear minimum mean-squa... reflection pattern majorization-minimizatio... …
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3

Kernel-based Regularized Estimators: Theoretical Insights and New Estimators with Improved Accuracy ⋆
Ju, Yue ; Colin, Kévin ; Chen, Tianshi ; et al.

Regularized system ident... High-order asymptotic th... Excess mean squared erro... Asymptotic domination Hyper-parameter estimato... [INFO.INFO-SY]Computer S... …
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4

Kernel density estimation for stationary random fields with values in a finite-dimensional Riemannian manifold
Nefzi, Wiem ; Yao, Anne-Françoise ; KHARDANI, Salah ; et al.

Kernel density estimator... Kernel density estimator Riemannian manifolds Spatial data Mixing condition Random fields …
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5

Spatio-temporal modeling of climate change impacts on farming using GNN-LSTM with attention and ensemble learning
Subhitcha, S. ; Vincent, Rajiv ; Sivaraman, Arun Kumar ; et al.
International Journal of Information Technology: An Official Journal of Bharati Vidyapeeth's Institute of Computer Applications and Management. :1-13

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6

Unveiling bitcoin market dynamics: a comprehensive analysis of efficiency beyond traditional measures
Alshammari, Saad ; Bedoui Ben Salem, Rihab ; Girar, Joslin ; et al.
Review of Accounting and Finance. 24(5):788-805

Anomalies Financial innovation Cryptocurrency Mean squared error (MSE) Mean absolute error (MAE... Predictive accuracy …
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7

A study on the estimation of population coefficient of variation using auxiliary variable under simple random sampling
Mandal, Neha ; Prasad, Shakti ; Singh, Housila P.
Quality & Quantity: International Journal of Methodology. :1-40

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8

A log-normal chain ladder model closely aligning with Mack’s assumptions
Riegel, Ulrich
European Actuarial Journal. :1-32

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9

Application to Road Traffic Accidents: An Almost Unbiased Estimator for Population Mean Under Ranked Set Sampling and Stratified Ranked Set Sampling
Yadav, Sunil Kumar ; Singh, Rajesh ; Kumari, Anamika
Journal of Statistical Theory and Applications. 24(4):1217-1241

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10

Generalized Family of Estimators for Population Mean Using Information on Two Auxiliary Variables: A Real and Simulation Data Applications
Singh, Housila P. ; Sharma, Dinesh K. ; Ali, Mehdi ; et al.
Journal of the Indian Society for Probability and Statistics. 26(2):807-832

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11

Investigation of the Effect of Adding Hybrid Cu-ZrO2 Nanoparticles on the Convection Coefficient in a Heat Exchanger with Disturber and Proposing a Model for Predicting it Using Artificial Neural Network
Ahmadvand, Narges ; Asleshirin, Samira ; Mazaheri, Hossein ; et al.
Arabian Journal for Science and Engineering. 50(24):20735-20760

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12

Assessment of Effective Wavelet Filters for Measuring Surface Roughness Using Image Processing
Fahad, S. Mohamed ; Jailani, H. Siddhi ; Ali, J. Mahashar
Journal of The Institution of Engineers (India): Series C: Mechanical, Production, Aerospace and Marine Engineering. :1-21

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13

Experimental investigation of rheological behavior of water/graphite nanofluid and presenting a new empirical relation and predicting data using artificial neural network
Nouraei, Ali ; Keyvani, Bahram ; Aghayari, Reza ; et al.
Journal of Thermal Analysis and Calorimetry: An International Forum for Thermal Studies. :1-12

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14

Nonparametric estimation of residual extropy function under length-biased sampling
Pavithradas, Vaishnavi ; G., Rajesh ; Rajesh, Richu
Ricerche di Matematica: A Journal of Pure and Applied Mathematics. 74(5):3051-3067

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15

A comparative analysis of ensemble autoML machine learning prediction accuracy of STEM student grade prediction: a multi-class classification prospective
Rimal, Yagya Nath ; Sharma, Navneet ; Alsadoon, Abeer ; et al.
Multimedia Tools and Applications: An International Journal. 84(31):38343-38369

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16

Multi-class classification of gait cycle phases using machine learning: a comprehensive study using two training methods
Mekni, Amal ; Narayan, Jyotindra ; Gritli, Hassène
Network Modeling Analysis in Health Informatics and Bioinformatics. 14(1)

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17

COMPARISON OF MISSING VALUE IMPUTATION USING MEAN, BAYESIAN KNN, AND NON-BAYESIAN KNN ON TEP GENE EXPRESSION DATA
Mastika Mastika ; Titin Siswantining ; Alhadi Bustamam
Media Statistika, Vol 18, Iss 1, Pp 61-72 (2025)

mean absolute error mean squared error normalized root mean squ... gaussian process optimization Probabilities. Mathemati... …
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18

Secure Recursive State Estimation of Networked Systems Against Eavesdropping: A Partial-Encryption-Decryption Method
Lei Zou ; Zidong Wang ; Bo Shen ; et al.
IEEE Transactions on Automatic Control. 70:3681-3694

ultimate boundedness ana... eavesdropping recursive state estimati... minimum mean squared err... encryption-decryption sc...
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19

Predicting the area moment of inertia of beam and column using machine learning and HyperNetExplorer
Yaren Aydın ; Sinan Melih Nigdeli ; Mostafa Roozbahan ; et al.
Neural Computing and Applications. 37:15793-15817

Area Moment Of Inertia Performance Linear Regression Structural Design Structural Analysis Gradient Boosting …
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20

THE METHOD FOR OPTIMIZING SIGNAL PARAMETERS USING LAGRANGE MULTI-PLIERS
Oleksii Komar ; Kostiantyn Perets
Science-based technologies; Vol. 65 No. 1 (2025); 69-76
Наукоемкие технологии; Том 65 № 1 (2025); 69-76
Наукоємні технології; Том 65 № 1 (2025); 69-76

Lagrange multiplier meth... interference resilience... 5G NR 4G LTE середньоквадратична похи... orthogonality …
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