Sentence examples for index for the estimation from inspiring English sources

Histamine is an important index for the estimation of allergic reaction and food freshness.

Generally speaking, for a parameter vector θ and its estimator (hat {boldsymbol {theta }}), the mean squared error matrix (mathrm {E}[(hat {boldsymbol {theta }}-boldsymbol {theta }) (hat {boldsymbol {theta }}-boldsymbol {theta })']) is a natural index for the estimation accuracy.

The frequency of each miRNAs in the small RNA library could serve as an index for the estimation of the relative expression abundance of miRNAs.

The number of times each miRNA is represented in a small RNA library could serve as an index for the estimation of their relative abundance.

Although this approach, by definition, overestimates the real compliance and violates the fundamental concept of the Windkessel model (since it assumes that the total SV is buffered in the large elastic arteries during systole without any peripheral outflow), it has been shown to be a useful index for the estimation and detection of relative changes in arterial compliance [ 15- 17].

This article aims at finding efficient hyperspectral indices for the estimation of forest sun leaf chlorophyll content (CHL, µg cmleaf− 2), sun leaf mass per area (LMA, gdry matter mleaf− 2), canopy leaf area index (LAI, m2leaf msoil− 2) and leaf canopy biomass (Bleaf, gdry matter msoil− 2).

This model uses the f-index method for the estimation of infiltration losses.

The proportion of vegetation cover coupled with Normalized Difference Vegetation Index (NDVI) used for the estimation of emissivity.

The general objective of this study is to evaluate different vegetation indices for the remote estimation of the green leaf area index (Green LAI) of two crop types (maize and soybean) with contrasting canopy architectures and leaf structures.

The aim of this work is to present revised and improved model parameters for group-contribution+ (GC+) models (combined group-contribution (GC) method and atom connectivity index (CI) method) employed for the estimation of pure component properties, together with covariance matrices to quantify uncertainties in the estimated property values.

The rate of total electron content (TEC) index (ROTI) maps was used for the estimation of the overall fluctuation activity and the auroral oval evolution.