Abstract Spatially explicit estimates of population density, together with appropriate uncertainty, are required in many management contexts. Density surface models (DSMs) a two-stage approach for estimating spatially varying density from distance sampling data. First, detection probabilities—perhaps depending on covariates—are estimated based details individual encounters; next, local densitie...

process capability indices show the ability of a process to produce products according to the pre-specified requirements. since final quality characteristics of a product are usually interrelated to its previous amounts in earlier workstations, one need to model and consider the relationship among them to assess the process ca-pability properly. hence, conducting process capability analysis in ...

The colorimetric error depends on the spectrophotometric inaccuracy. In this paper, a ‎new method is introduced for determining the relationship between spectrophotometric ‎error and colorimetric inaccuracy. The error propagation in colorimetric parameter ‎calculation is evaluated using a linear relation between variance of reflectance spectra ‎and CIE tristimulus values. This linear formula ca...

Abstract This paper, considers the channel estimation problem of uplink low Earth orbit (LEO) satellite orthogonal frequency division multiplexing (OFDM) system. By exploiting structured sparsity in delay‐Doppler‐angle domain, is formulated as a block‐sparse signal recovery problem. The variance state propagation (VSP) framework extended to solve such Considering that delay, Doppler shift, and ...