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Number of stories above the ground level (N), soft story index (SSI), overhang ratio (OHR), minimum normalized lateral stiffness index (MNLSTFI), minimum normalized lateral strength index (MNLSI) and normalized redundancy score (NRS) are selected as the basic estimation variables.
Basic estimation criteria such as least-squares, maximum-likelihood and others are reformulated in a novel framework, amenable to distributed solutions.
In order to establish a basic EvD estimation, firms can work backwards from a total shutdown scenario, where systems and therefore the ability to use data are no longer functional.
LMS algorithm can be considered as a basic machine learning algorithm, widely used for parameter estimation [35].
as a basic study.
Start as a basic Pokémon.
This is the Basic pattern, also known as a Side Basic or Chasse Basic or Close Basic.
An adaptive estimation grid is created as a result of a practical combination of IG and CS in a basic radar case of range estimation.
Obtaining samples from a real-valued target density f (t) is a basic problem in statistical estimation.
Basic ideas, such as the optimum complexity of models, selection of an effective subset of the measurements, as well as a realistic estimation of the performance of calibration models will be discussed.
This hypothesis can serve as a Bayesian estimation.
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CEO of Professional Science Editing for Scientists @ prosciediting.com