Nonparametric Statistics, With Applications to Science and Engineering
By Michael R. Chernick. 2008
121 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/67638a98e5a195bc13b5e48c2ff6482490c9ce3c
How researchers see this paper
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In Statistics and Probability
- Fabio Rocca
- Ajitha Rajan
- Fabrizio Novali
- Matthew Staats
- Alessandro Ferretti
- Alfio Fumagalli
- M. Whalen
- Alessio Rucci
Citations in the corpus
- Risk ranking and analysis in target cost contracts: Empirical evidence from the construction industry (2011, unknown): “This statistical test aims to ascertain whether the respondents within a particular group respond in a consistent manner or not (Kvam and Vidakovic, 2007).”
- A New Algorithm for Processing Interferometric Data-Stacks: SqueeSAR (2011, methodology): “A possible option for this purpose is the well-known two-sample Kolmogorov-Smirnov (KS) test [29]–[31]: easy to implement, non parametric, not designed for a specific class of probability distribution functions and applicable with high reliability to data-stacks with as little as 8 images [29].”
- Requirements Coverage as an Adequacy Measure for Conformance Testing (2008, methodology): “When performing a permutation test, a reference distribution is obtained by calculating all possible permutations of the observations [6, 11].”