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Keyword

q-statistics

Description: Q-statistics are statistical measures used in multivariate process monitoring and meta-analysis, but the term can denote different quantities across fields.
Wikidata ID: wiki/Q7265311
OpenAlex ID: keywords/q-statistic
Possible generalization of Boltzmann-Gibbs statistics
1988 · Constantino Tsallis · Journal of Statistical Physics · 9,556
Assessing heterogeneity in meta-analysis: Q statistic or I² index?
2006 · Tania B. Huedo-Medina, Julio Sánchez-Meca, et al. · Psychological Methods · 4,241
Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy
2003 · Ludmila I. Kuncheva, Christopher J. Whitaker · Machine Learning · 2,326
A measure of spatial stratified heterogeneity
2016 · Jin-Feng Wang, Tong-Lin Zhang, et al. · Ecological Indicators · 1,967
Modeling dependent effect sizes with three-level meta-analyses: A structural equation modeling approach.
2013 · Mike W.-L. Cheung · Psychological Methods · 1,326
Quantifying, displaying and accounting for heterogeneity in the meta-analysis of RCTs using standard and generalised Qstatistics
2011 · Jack Bowden, Jayne F Tierney, et al. · BMC Medical Research Methodology · 553
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Generalized contribution plots in multivariate statistical process monitoring
2000 · Johan A. Westerhuis, Stephen P. Gurden, et al. · Chemometrics and Intelligent Laboratory Systems · 508
Simpson diversity and the Shannon–Wiener index as special cases of a generalized entropy
2005 · C. J. Keylock · Oikos · 495
Total projection to latent structures for process monitoring
2009 · Donghua Zhou, Gang Li, et al. · AIChE Journal · 474
Statistical Primer: heterogeneity, random- or fixed-effects model analyses?†
2018 · Fabio Barili, Alessandro Parolari, et al. · Interactive Cardiovascular and Thoracic Surgery · 312
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Option Pricing Formulas Based on a Non-Gaussian Stock Price Model
2002 · Lisa Borland · Physical Review Letters · 276
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Introduction to Nonextensive Statistical Mechanics
2023 · Constantino Tsallis · Springer eBooks · 254
Q-statistic and T2-statistic PCA-based measures for damage assessment in structures
2010 · LE Mujica, J. Rodellar, et al. · Structural Health Monitoring · 240
AHU sensor fault diagnosis using principal component analysis method
2003 · Shengwei Wang, Fu Xiao · Energy and Buildings · 229
Sensor-fault detection, diagnosis and estimation for centrifugal chiller systems using principal-component analysis method
2005 · Shengwei Wang, Jingtan Cui · Applied Energy · 200
Is independence good for combining classifiers?
2002 · L.I. Kuncheva, C.J. Whitaker, et al. · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · 195
Attempt to distinguish electric signals of a dichotomous nature
2003 · P. A. Varotsos, N. V. Sarlis, et al. · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · 192
Avoiding common mistakes in meta‐analysis: Understanding the distinct roles of Q , I ‐squared, tau‐squared, and the prediction interval in reporting heterogeneity
2023 · Michael Borenstein · Research Synthesis Methods · 183
Multiblock PLS-based localized process diagnosis
2004 · Sang Wook Choi, In-Beum Lee · Journal of Process Control · 173
Measuring the statistical validity of summary meta‐analysis and meta‐regression results for use in clinical practice
2017 · Brian H. Willis, Richard D. Riley · Statistics in Medicine · 171
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Adaptive Multivariate Statistical Process Control for Monitoring Time-Varying Processes
2006 · Sang Wook Choi, Elaine B. Martin, et al. · Industrial & Engineering Chemistry Research · 144
Statistical fault detection using PCA-based GLR hypothesis testing
2012 · Fouzi Harrou, Mohamed N. Nounou, et al. · Journal of Loss Prevention in the Process Industries · 122
Heterogeneity in systematic review and meta-analysis: how to read between the numbers
2019 · Babu P. Mohan, Douglas G. Adler · Gastrointestinal Endoscopy · 119
Relationships between Diversity of Classification Ensembles and Single-Class Performance Measures
2011 · Shuo Wang, Xin Yao · IEEE Transactions on Knowledge and Data Engineering · 119
Monitoring of a machining process using kernel principal component analysis and kernel density estimation
2019 · Wo Jae Lee, Gamini P. Mendis, et al. · Journal of Intelligent Manufacturing · 118
Works count: 845
Citation count: 34,370
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