Estimability analysis of variance and covariance components

By Peiliang Xu, Yumei Liu, Yunzhong Shen, Y. Fukuda. 2007

75 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Applied Mathematics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/45484206acd82ed1e7395a09982e01f8df943aae

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. Alireza Amiri-Simkooei
2. Jing-nan Liu
3. Peiliang Xu

In Applied Mathematics

1. Alireza Amiri-Simkooei
2. Jing-nan Liu
3. X. Fang
4. Peiliang Xu
5. S. Jazaeri
6. Guobin Chang

In Statistics and Probability

1. Alireza Amiri-Simkooei
2. Jing-nan Liu
3. Peiliang Xu
4. X. Fang
5. Guobin Chang
6. S. Jazaeri

Citations in the corpus

• Noise in multivariate GPS position time-series (2009, methodology): “For more information we may refer to Amiri-Simkooei (2007) and Xu et al. (2007).”
• Application of least squares variance component estimation to errors-in-variables models (2013, background): “pary 1987), the MINQUE (Rao 1971; Rao and Kleffe 1988; Sjöberg 1983; Xu et al. 2007), and the REML estimator (Koch 1986).”
• Variance components in errors-in-variables models: estimability, stability and bias analysis (2014, methodology): “For more details on the concept of estimability, the reader is referred to Pincus (1974), Schaffrin (1983), Rao and Kleffe (1988) and Xu et al. (2007a).”