Nonparametric multiple comparison procedures for unbalanced one-way factorial designs
By Xin Gao, M. Alvo, Jie Chen, Gang Li. 2008
101 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/a1ce5584e2b6b71e07a1fa84285d7b52ebd1c87f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Science and Operations Research
- Frank Konietschke
- Edgar Brunner
- Frank Schaarschmidt
- Ludwig A. Hothorn
- Marius Placzek
- Markus Pauly
- Madan Lal Puri
- Peng Ding
In Statistics and Probability
- Frank Konietschke
- Edgar Brunner
- Markus Pauly
- Ludwig A. Hothorn
- Frank Schaarschmidt
- Marius Placzek
- Madan Lal Puri
- Peng Ding
Citations in the corpus
- Rank-based multiple test procedures and simultaneous confidence intervals (2012, background): “This representation of the estimator provides an unified approach for both the usual ranks as well as the so-called pseudo ranks (Gao and Alvo 2005 [15], 2008 [16]; Gao et al.”
- Rank‐based procedures in factorial designs: hypotheses about non‐parametric treatment effects (2016, methodology): “These unweighted effects, which were proposed by Brunner and Puri (2001), section 3.2, and later considered in detail by Domhof (2001) as well as Gao and Alvo (2005) and Gao et al. (2008), can be regarded as non-parametric treatment effects which are defined by the distributions in the designs.”
- nparcomp: An R Software Package for Nonparametric Multiple Comparisons and Simultaneous Confidence Intervals (2015, methodology): “where H = 1 a ∑a j=1 Fj denotes a mean distribution in its unweighted (Brunner and Puri 2001; Gao et al. 2008) form.”