Results 11 to 20 of about 12,807,756 (320)

Covariate Model of Pixel Vector Intensities of Invasive H. sosnowskyi Plants

open access: yesJournal of Imaging, 2021
This article describes an agricultural application of remote sensing methods. The idea is to aid in eradicating an invasive plant called Sosnowskyi borscht (H. sosnowskyi).
Ignas Daugela   +4 more
doaj   +1 more source

Simultaneous confidence band for stationary covariance function of dense functional data [PDF]

open access: yesJournal of Multivariate Analysis, 2019
Inference via simultaneous confidence band is studied for stationary covariance function of dense functional data. A two-stage estimation procedure is proposed based on spline approximation, the first stage involving estimation of all the individual ...
Jiangyan Wang   +3 more
semanticscholar   +1 more source

用最小二乘配置法构建局部重力场模型

open access: yesDizhen xuebao, 2020
基于非均匀分布的陆地重力观测数据,重构局部重力场模型是区域重力资料处理与解释的重要环节。本文对比了多种局部重力场建模方法,并以EGM2008模型提供的自由空气重力异常模型重采样数据进行测试,综合比较了不同噪声条件下不同建模方法的实际效果。结果表明:在不同噪声水平下,优选出适合重力位场问题的协方差函数后,最小二乘配置法的建模效果优于其它方法。
Mingming Ruan, Shi Chen, Jiancheng Han
doaj   +1 more source

Analysis of Dynamic Parameters of the System of Raster Formation and Control

open access: yesCommunications, 2020
The presented research work analyzes the sensing system, the main aim of which is a raster formation and controlling this process using the optical measuring equipment and high precision angle encoders. Optical measuring equipment are used for the raster
Antanas Fursenko   +6 more
doaj   +1 more source

Optimal Bandwidth for Geographically Weighted Regression to Model the Spatial Dependency of Land Prices in Manado, North Sulawesi Province, Indonesia

open access: yesGeography, Environment, Sustainability, 2022
Bandwidth plays a crucial role in the Geographically Weighted Regression modelas it affects the model’s ability to describe spatial dependencies. If the bandwidth is too large, the model will be similar to a normal regression model.
Winsy Weku   +3 more
doaj   +1 more source

Comparing approximate methods for mock catalogues and covariance matrices – I. Correlation function [PDF]

open access: yesMonthly notices of the Royal Astronomical Society, 2018
This paper is the first in a set that analyses the covariance matrices of clustering statistics obtained from several approximate methods for gravitational structure formation. We focus here on the covariance matrices of anisotropic two-point correlation
Martha Lippich   +21 more
semanticscholar   +1 more source

The application of covariation method to the analysis (comparable) of digital images in cartography

open access: yesGeodesy and Cartography, 2012
The article discusses research on the identification (comparison) possibilities and accuracy analysis of digital images applying the theory of covariation method.
Jurgita Milieškaitė
doaj   +1 more source

Coordinate Transformation and Polynomial Chaos for the Bayesian Inference of a Gaussian Process with Parametrized Prior Covariance Function [PDF]

open access: yes, 2015
This paper addresses model dimensionality reduction for Bayesian inference based on prior Gaussian fields with uncertainty in the covariance function hyper-parameters.
I. Sraj, O. Maître, O. Knio, I. Hoteit
semanticscholar   +1 more source

Homogeneidade e heterogeneidade de variância residual em modelos de regressão aleatória sobre o crescimento de caprinos Anglo-Nubianos Homogeneity and heterogeneity of residual variance in random regression models on growth trajectory of Nubian goats

open access: yesPesquisa Agropecuária Brasileira, 2008
O objetivo deste trabalho foi comparar modelos de regressão aleatória com diferentes estruturas de variâncias residuais, na estimação dos componentes de covariância e parâmetros genéticos de características de crescimento de caprinos.
José Ernandes Rufino de Sousa   +5 more
doaj   +1 more source

Two-Dimensional Sampling-Recovery Algorithm of a Realization of Gaussian Processes on the Input and Output of Linear Systems

open access: yesEntropy, 2020
Based on the application of the conditional mean rule, a sampling-recovery algorithm is studied for a Gaussian two-dimensional process. The components of such a process are the input and output processes of an arbitrary linear system, which are ...
Vladimir Kazakov   +2 more
doaj   +1 more source

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