Search
Search Results
-
Variance component adaptive estimation algorithm for coseismic slip distribution inversion using interferometric synthetic aperture radar data
When conducting coseismic slip distribution inversion with interferometric synthetic aperture radar (InSAR) data, there is no universal method to...
-
Performance Analysis of Empirical Weighting Method and Helmet Variance Component Estimation Method in CPIII Data Processing of Long Line
Construction, operation and maintenance of high-speed railway must rely on a complete, efficient and accurate measurement system. Professional data...
-
Utilizing least squares variance component estimation to combine multi-GNSS clock offsets
The International GNSS Service (IGS) provides combined satellite and station clock products, which are generated from the individual clock solutions...
-
Locally weighted total least-squares variance component estimation for modeling urban air pollution
Land use regression (LUR) models are one of the standard methods for estimating air pollution concentration in urban areas. These models are usually...
-
Spectrum feature extraction method combining Allan variance, VMD, and PSD
Spectrum feature extraction plays a crucial role in identifying seismic events and calculating structural response parameters. However, the criteria...
-
A mediation analysis framework based on variance component to remove genetic confounding effect
Identification of pleiotropy at the single nucleotide polymorphism (SNP) level provides valuable insights into shared genetic signals among...
-
Mesh-free semi-quantitative variance underestimation elimination method in Monte Caro algorithm
The inter-cycle correlation of fission source distributions (FSDs) in the Monte Carlo power iteration process results in variance underestimation of...
-
Combination of GNSS orbits using least-squares variance component estimation
Over the past years, the International GNSS Service (IGS) has been putting efforts into extending its service by setting up and running the...
-
Subjective–Objective Method of Maximizing the Average Variance Extracted From Sub-indicators in Composite Indicators
This research presents an innovative method for constructing composite indicators: the Subjective–objective method of maximizing extracted variance...
-
Variance reduced moving balls approximation method for smooth constrained minimization problems
In this paper, we consider the problem of minimizing the sum of a large number of smooth convex functions subject to a complicated constraint set...
-
Variance Estimation, Change Points in Variance, and Heteroscedasticity
A crucial step in approximating the distribution of the CUSUM statistics introduced in Chaps. 1 and...
-
Analysis of Variance
Analysis of variance is a procedure that examines the effect of one (or more) independent variable(s) on one (or more) dependent variable(s). For the...
-
CW_ICA: an efficient dimensionality determination method for independent component analysis
Independent component analysis (ICA) is a widely used blind source separation method for signal pre-processing. The determination of the number of...
-
Principal Component Analysis
This chapter first introduces the definition, theorem, and properties of the overall Principal Component Analysis (PCA), and then describes the...
-
A comparative study of runoff and sediment trends between the classical method and variance-corrected ITA method
To better understand the characteristics of rivers and manage water resources, it is necessary to analyze the trend of runoff and sediment series...
-
Operational data-based adaptive improvement method of gas turbine component characteristics for performance simulation
Accurate component maps are crucial for gas turbine performance simulation. However, generating component maps is challenging due to limited data...
-
Generalized Structured Component Analysis Accommodating Convex Components: A Knowledge-Based Multivariate Method with Interpretable Composite Indexes
Generalized structured component analysis (GSCA) is a multivariate method for examining theory-driven relationships between variables including...
-
Hierarchical modelling of variance components makes analysis of resolvable incomplete block designs more efficient
The standard approach to variance component estimation in linear mixed models for alpha designs is the residual maximum likelihood (REML) method. One...
-
Improved minimum variance distortionless response spectrum method for efficient and robust non-uniform undersampled frequency identification in blade tip timing
The noncontact blade tip timing (BTT) measurement has been an attractive technology for blade health monitoring (BHM). However, the severe...
-
Variance Predictors for Systematic Sampling
The purpose of this chapter is to derive error variance predictors for stereological estimators which include the applications described in Chapter...