A5067140930- Advanced Statistical Process Monitoring
- Advanced Banach Space Theory
- Statistical and Computational Modeling
- Functional Equations Stability Results
- Advanced Harmonic Analysis Research
- Approximation Theory and Sequence Spaces
- Chaos control and synchronization
- Business, Innovation, and Economy
- Scientific Measurement and Uncertainty Evaluation
- Multi-Criteria Decision Making
- Holomorphic and Operator Theory
- Statistical Methods in Clinical Trials
- Complex Systems and Time Series Analysis
- Heart Rate Variability and Autonomic Control
- Energy Load and Power Forecasting
- Operations Management Techniques
- Advanced Statistical Methods and Models
- Business, Education, Mathematics Research
- Bayesian Modeling and Causal Inference
- Greenhouse Technology and Climate Control
Universidad Complutense de Madrid
2003-2024
Abstract Important probabilistic problems require to find the limit of a sequence random variables. However, this can be understood in different ways and various kinds convergence defined. Among many types sequences variables, we highlight, for example, that $$L^p$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mi>L</mml:mi> <mml:mi>p</mml:mi> </mml:msup> </mml:math> -sense implies probability, which, turn, distribution, besides all these implications are strict....
Abstract This expository paper focuses on the study of extreme surjective functions in ℝ . We present several different types surjectivity by providing examples and crucial properties. These help us to establish a hierarchy within classes we deal with. The presented here are: everywhere functions, strongly κ -everywhere perfectly Jones functions. algebraic structure sets show is studied using concept lineability. In final sections this work also reveal unexpected connections between degrees...
We define the invariant sequentially planned decision procedure under a group of measurable transformations. By means previous reduction problem, we obtain optimal that minimizes risk function. First find solution for horizon with maximal number stages, based on present information; later, general case is solved but past information. Finally, study possibility approximating by sequence truncated problems obtaining