Linear and nonlinear models : fixed effects, random effects, and mixed models
By E. Grafarend. 2006
165 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Statistics and Probability
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In Computational Theory and Mathematics
In Statistics and Probability
Citations in the corpus
- Improved Techniques for Training Score-Based Generative Models (2020, neutral): “Since pσi−1(r) has high density in Ii−1 , [mi−1 − 3si−1,mi−1 + 3si−1] (employing the “threesigma rule of thumb” [15]), a natural choice is to fix pσi(r ∈ Ii−1) = Φ( √ 2D(γi − 1) + 3γi) − Φ( √ 2D(γi − 1)− 3γi) = C with some moderately large constant C > 0 for all 1 < i ≤ L, where γi , σi−1/σi and Φ(·”
- The Grid Method for In‐plane Displacement and Strain Measurement: A Review and Analysis (2016, background): “to the classic 3 σ rule [170], this width is considered to be equal to 6 × σ.”
- A total least squares solution for geodetic datum transformations (2014, methodology): “Two fundamental algorithms for adjusting the GMM are the Procrustes analysis (e.g., Grafarend and Awange 2003; Grafarend 2006; Awange et al. 2010; Grafarend and Awange 2012) and the unit quaternion-based approach (e.g., Shen et al. 2006).”