Sentence examples for estimation design from inspiring English sources

Gas hold-up is one of the most important hydrodynamic characteristics that is needed for performance estimation, design and scale-up of reactors.

In this paper a robust estimation design is presented for a sampled linear system where the sensor readings are subjected to random loss.

In this work is presented a practical (i.e. nonlocal) robust estimation design to infer the main safety, production, and quality variables of batch, semibatch, or continuous free-radical homopolymer reactors with on-line measurements of free monomer, temperature, and volume.

This is not a problem since this handbook aims to give tools to first counseling on membrane technologies, and thus the estimation design of the process of both technical and economic aspects in worst-case conditions fits well this target.

The simulation of the light flux density distribution on a receiver plays an important role in energy estimation, design and optimization of a heliostat field and the focusing strategy for a central receiver system (CRS).

The general problem of how to best correlate low-level shape data with the higher-order manufacturing and mechanical properties remains an open area of research with many practical applications (cost estimation, design archival, variational design and process selection).

Previous studies have attempted to counteract the convolutional distortion caused by reverberation using a number of denoising methods, such as frequency domain linear prediction [3], modulation filtered spectrograms [4], or missing-data mask estimation designed for dereverberation [5].

Its equivalence to sample size re-estimation design proposed by Cui et al. provides further insight on re-estimation design and helps to address common confusions and misunderstanding.

A sample-size re-estimation design is a flexible, adaptive design with the primary purpose of allowing sample size of a study to be reassessed in the mid-course of the study to ensure adequate power.

In this work, a new representation of sample size re-estimation design suggested by Cui et al. [5,6] is introduced as an adaptive group sequential design with flexible timing of sample size determination.

Flexible sample size designs, including group sequential and sample size re-estimation designs, have been used as alternatives to fixed sample size designs to achieve more robust statistical power and better trial efficiency.