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Classical Statistical Inference
2014This chapter introduces the main concepts of statistical inference, or drawing conclusions from data. There are three main types of inference: point estimation, confidence estimation, and hypothesis testing. There are two major statistical paradigms which address the statistical inference questions: the classical, or frequentist paradigm, and the ...
Željko Ivezi +7 more
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2018
The Thermodynamics, discussed in Vol. 5 of this basic course in Theoretical Physics, is a phenomenological theory, which, being based on a few fundamental postulates (laws of thermodynamics), describes macroscopic systems in equilibrium with the help of a few variables as, for instance, pressure, volume, temperature, particle density, … .
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The Thermodynamics, discussed in Vol. 5 of this basic course in Theoretical Physics, is a phenomenological theory, which, being based on a few fundamental postulates (laws of thermodynamics), describes macroscopic systems in equilibrium with the help of a few variables as, for instance, pressure, volume, temperature, particle density, … .
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Classical Statistical Mechanics
1981Statistical mechanics is the bridge between molecular science and continuum mechanics. The input to statistical mechanics is a force law between particles. The particles can be atoms in a crystal, molecules in a gas or liquid, electrons in a plasma, amino acid units in a protein, elementary constituents in a complex polymer, etc.
James Glimm, Arthur Jaffe
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Distributionally Robust Optimization and Robust Statistics
Statistical ScienceWe review distributionally robust optimization (DRO), a principled approach for constructing statistical estimators that hedge against the impact of deviations in the expected loss between the training and deployment environments.
José H. Blanchet +3 more
semanticscholar +1 more source
1974
In an area where there is so much acknowledged turmoil, such outspoken disagreement, and in which so many divergent points of view are so strongly represented as in statistics today, it is almost anomalous to refer to one particular theory as the ‘classical’ one. It is the stranger to use this term, in that the theory to which it is applied may be said
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In an area where there is so much acknowledged turmoil, such outspoken disagreement, and in which so many divergent points of view are so strongly represented as in statistics today, it is almost anomalous to refer to one particular theory as the ‘classical’ one. It is the stranger to use this term, in that the theory to which it is applied may be said
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A Theoretical Review of Modern Robust Statistics
Annual Review of Statistics and Its ApplicationRobust statistics is a fairly mature field that dates back to the early 1960s, with many foundational concepts having been developed in the ensuing decades. However, the field has drawn a new surge of attention in the past decade, largely due to a desire
Po-Ling Loh
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Classical Statistical Inference
2017This chapter introduces the classical statistical approach for system identification in a general context. This is commonly referred as a ‘non-Bayesian’ approach and is currently the conventional perspective in operational modal analysis. Basic quantification of statistical estimators are presented and illustrated with examples.
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Guiding soil sampling strategies using classical and spatial statistics: A review
, 2020Patrick G. Lawrence +3 more
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Classical Statistical Mechanics
2003Some aspects of statistical mechanics that are particularly important for computer simulation approaches are recalled. Using Ising and classical Heisenberg models as examples, various statistical ensembles and appropriate thermodynamic potentials are introduced, and concepts such as Legendre transformations between ensembles and the thermodynamic ...
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