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Robust Small Area Estimation: Methods, Theory, Applications, and Open Problems
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Multi-Objective Optimization Techniques
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Exercises and Solutions in Probability and Statistics
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Large Vision-Language Models: Pre-Training, Prompting, and Applications
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Time Series Forecasting Using Machine Learning: Case Studies With R and iForecast
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Robot Perception and Learning: A Human-Aware Navigation and Long-Term Autonomy Perspective
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Graph Neural Network for Hyperspectral Image Clustering
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Non-Gaussian Autoregressive-Type Time Series
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Multiphysics Modeling With Application to Biomedical Engineering
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Stochastic Comparisons With Applications
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Statistics for Chemical and Process Engineers
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