Solutions of a constrained Hermitian matrix-valued function optimization problem with applications

Article Properties
Cite
Tian, Yongge. “Solutions of a Constrained Hermitian Matrix-Valued Function Optimization Problem With Applications”. Operators and Matrices, no. 4, 2016, pp. 967-83, https://doi.org/10.7153/oam-10-54.
Tian, Y. (2016). Solutions of a constrained Hermitian matrix-valued function optimization problem with applications. Operators and Matrices, 4, 967-983. https://doi.org/10.7153/oam-10-54
Tian Y. Solutions of a constrained Hermitian matrix-valued function optimization problem with applications. Operators and Matrices. 2016;(4):967-83.
Journal Category
Science
Mathematics
Citations
Title Journal Journal Categories Citations Publication Date
On best linear unbiased estimation and prediction under a constrained linear random-effects model

 Journal of Industrial and Management Optimization
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Manufactures: Production management. Operations management
  • Science: Mathematics
  • Science: Mathematics
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Engineering (General). Civil engineering (General)
 2 2023
Computation and comparison of estimators under different linear random-effects models Communications in Statistics - Simulation and Computation
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 4 2019
A prediction analysis in a constrained multivariate general linear model with future observations Communications in Statistics - Theory and Methods
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 3 2019
Rank/inertia approaches to weighted least-squares solutions of linear matrix equations Applied Mathematics and Computation
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
 2 2017
On equivalence of predictors/estimators under a multivariate general linear model with augmentation Journal of the Korean Statistical Society
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 10 2017
Citations Analysis
Category Category Repetition
Science: Mathematics8
Science: Mathematics: Probabilities. Mathematical statistics5
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods1
Social Sciences: Commerce: Business: Accounting. Bookkeeping1
Social Sciences: Finance1
Technology: Engineering (General). Civil engineering (General)1
Technology: Manufactures: Production management. Operations management1
The category Science: Mathematics 8 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled An algebraic study of BLUPs under two linear random-effects models with correlated covariance matrices and was published in 2016. The most recent citation comes from a 2023 study titled On best linear unbiased estimation and prediction under a constrained linear random-effects model. This article reached its peak citation in 2017, with 4 citations. It has been cited in 8 different journals. Among related journals, the Journal of Industrial and Management Optimization cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year