Introduction to Modern Nonparametric Statistics
By Stergios B. Fotopoulos. Technometrics, 2004
309 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/65f7e586c98eab51411b6e69dfd60444c5ec6712
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Citations in the corpus
- Fréchet regression for random objects with Euclidean predictors (2016, methodology): “In order to obtain a p-value, a permutation test can be performed (Lehmann and D’Abrera 2006; Higgins 2004; Bradley 1968).”
- Covariational reasoning among U.S. and South Korean secondary mathematics teachers (2017, methodology): “Since both PIP and SSG are ordered, we used the Jonckheere-Terpstra (JT) test for ordered alternatives (Higgins, 2004; Hollander et al., 2014), treating PIP as the independent variable and SSG as the dependent variable.”
- Influence of phylogeny and ploidy on species ranges of North American angiosperms (2009, methodology): “parametric Spearman’s correlation coefficient (rs), because the data were not normally distributed, and significance was assessed using bootstrapped estimates with a correction for ties (Higgins 2004).”
- Bivariate flood frequency analysis: Part 1. Determination of marginals by parametric and nonparametric techniques (2008, methodology): “…statistical estimation, using splines, kernel functions, nearest neighbour methods and orthonormal series methods (Bowman and Azzalini, 1997; Efromovich, 1999; Higgins, 2004), is an active area of research, with major developments still unfolding (Silverman, 1986; Scott, 1992; Sharma et al., 1997).”
- Formalizing Neurath’s Ship: Approximate Algorithms for Online Causal Learning (2016, methodology): “Therefore, we tested for a difference between medians by permutation test (Higgins, 2004), finding it significant p < 0.0001. There was no relationship between the number of connections in a device and judgment accuracy F (1, 1498) = 2.1, η(2) = 0.001, p = 0.14. However there was a significant main ”
- A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms (2011, methodology): “Statistical procedures developed to perform statistical analyses can be categorized into two classes: parametric and nonparametric, depending on the concrete type of data employed [1].”
- Nonparametric Statistical Inference, Fourth Edition (2005, methodology): “The level of the text is more mathematical than the mostly methodological books like Conover (1999) or Higgins (2004), but less theoretical than Randles and Wolfe (1979) or Hettmansperger and McKean (1998).”
- Statistical Applications in Genetics and Molecular Biology Permutation P -values Should Never Be Zero: Calculating Exact P -values When Permutations Are Randomly Drawn (2011, unknown): “This estimation approach is recommended in many textbooks (Higgins, 2004; Efron and Tibshirani, 1993; Good, 1994; Mielke and Berry, 2001).”
- Communicating without a functioning language system: implications for the role of language in mentalizing. (2011, unknown): “The actual observed t-statistic was compared to this generated distribution and the according p-value was determined as the proportion of statistics from the reference distribution which was larger than the observed t-statistic (Higgins, 2004).”