Statistics: The Exploration and Analysis of Data
By P. Minton. Technometrics, 2002
329 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/a103688e2e6af42432f2ecc5de7ec4840305e128
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Citations in the corpus
- Is Human Height Bimodal? (2002, methodology): “Strong conditions for unimodality/bimodality were derived by Eisenberger (1964) and Behboodian (1970).”
- Accurate Cancer Classification Using Expressions of Very Few Genes (2007, methodology): “However, the three genes rank (23, 40, 22) in CS rather than (5, 12, 30) in TS ranking [4], [11].”
- Coding and Centering of Time in Latent Curve Models in the Presence of Interindividual Time Heterogeneity (2008, background): “This difference in variation may be measured by comparing values of the relative standard deviation (r.s.d., also called the coefficient of variation; Devore & Peck, 1997) of time for each sample.”
- KPCA plus LDA: a complete kernel Fisher discriminant framework for feature extraction and recognition (2005, methodology): “Is CKFD statistically significantly better than other methods in terms of its recognition rate? To answer this question, let us evaluate the experimental results in Table 3 using McNemar’s [39], [40], [41] significance test.”
- Computing Correct Confidence Intervals for Anova Fixed-and Random-Effects Effect Sizes (2001, background): “It is constructed so that, with a chosen degree of confidence, the value of the characteristic will be captured inside the interval” (Devore & Peck, 1997, p. 272).”
- Maternal β-catenin and E-cadherin in mouse development (2004, methodology): “The χ2 and proportion tests were done as described (Devore and Peck, 2001).”
- Testing the Residuals of an ARIMA Model on the Çekerek Stream Watershed in Turkey (2005, methodology): “To determine whether there is significant difference for the mean flow and standard deviation values of the observed and predicted data for each month, a ztest (for means) and F-test (for standard deviations) were applied (Haan, 1977; Devore and Peck, 1993).”
- Hierarchical Clustering Algorithms for Document Datasets (2005, methodology): “The statistical significance of the comparisons was tested using two samples mean test [9] based on the FScore values obtained by the two clustering schemes for the ten sampled subsets of each dataset.”
- Empirical and Theoretical Comparisons of Selected Criterion Functions for Document Clustering (2004, methodology): “In addition to these numerical averages, we evaluated the statistical significance of the relative performance of the criterion functions using a paired-t test ( Devore & Peck, 1997 ) based on the original entropies for each dataset.”