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Testing Homogeneity of Variances
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4612-0919-5_8openalex-snapshot
Properties of Sufficiency and Statistical Tests
inferredcites →https://doi.org/10.1037/11774-000openalex-snapshot
Statistical principles in experimental design.
inferredcites →https://doi.org/10.1093/biomet/40.3-4.318openalex-snapshot
NON-NORMALITY AND TESTS ON VARIANCES
inferredcites →https://doi.org/10.1097/00010694-196006000-00016openalex-snapshot
The Analysis of Variance
inferredcites →https://doi.org/10.1098/rspa.1937.0109openalex-snapshot
Properties of sufficiency and statistical tests
inferredcites →https://doi.org/10.2307/3001601openalex-snapshot
Testing a Linear Relation among Variances
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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ALMI—A Generic Active Learning System for Computational Object Classification in Marine Observation Images
inferred← citeshttps://doi.org/10.3390/su13115884openalex-snapshot
Predictive Maintenance as a Driver for Corporate Sustainability: Evidence from a Public-Private Co-Financed R&D Project
inferred← citeshttps://doi.org/10.3390/su142114616openalex-snapshot
Multi-Step Crude Oil Price Prediction Based on LSTM Approach Tuned by Salp Swarm Algorithm with Disputation Operator
inferred← citeshttps://doi.org/10.3390/toxics11040394openalex-snapshot
Potential of Coupling Metaheuristics-Optimized-XGBoost and SHAP in Revealing PAHs Environmental Fate
inferred← citeshttps://doi.org/10.35784/jcsi.3073openalex-snapshot
Comparative analysis of social media accessibility
inferred← citeshttps://doi.org/10.4135/9780857020123.n17openalex-snapshot
analysis of variance (ANOVA)
inferred← citeshttps://doi.org/10.4324/9780203892930-11openalex-snapshot
ANALYSIS OF VARIANCE (ANOVA)
inferred← citeshttps://doi.org/10.5194/nhess-18-105-2018openalex-snapshot
Field-based landslide susceptibility assessment in a data-scarce environment: the populated areas of the Rwenzori Mountains
inferred← citeshttps://doi.org/10.5547/01956574.40.4.ygweopenalex-snapshot
Investing in Smart Grids: Assessing the Influence of Regulatory and Market Factors on Investment Level
inferred← citeshttps://doi.org/10.5944/openpraxis.9.1.505openalex-snapshot
Measures of student success with textbook transformations: the Affordable Learning Georgia Initiative
inferred← citeshttps://doi.org/10.70675/17be45f4zc5bfz4789zad96zc6f394c3206aopenalex-snapshot
Real-time detection and control of machine/chamber mismatching in the semi- conductor industry.
inferred← citeshttps://doi.org/10.70675/92c452d4z5e81z4864z91baz7c23cf3defcdopenalex-snapshot
Méthodes statistiques pour le traitement des données de protéomique quantitative longitudinale
inferred← citeshttps://doi.org/10.7275/5t99-zv93openalex-snapshot
The operating characteristics of the nonparametric Levene test for equal variances with assessment and evaluation data
inferred← citeshttps://doi.org/10.7287/peerj-cs.1405v0.1/reviews/1openalex-snapshot
Peer Review #1 of "Addressing Internet of Things security by enhanced sine cosine metaheuristics tuned hybrid machine learning model and results interpretation based on SHAP approach (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.1405v0.1/reviews/2openalex-snapshot
Peer Review #2 of "Addressing Internet of Things security by enhanced sine cosine metaheuristics tuned hybrid machine learning model and results interpretation based on SHAP approach (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.1405v0.1/reviews/3openalex-snapshot
Peer Review #3 of "Addressing Internet of Things security by enhanced sine cosine metaheuristics tuned hybrid machine learning model and results interpretation based on SHAP approach (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.1405v0.2/reviews/1openalex-snapshot
Peer Review #1 of "Addressing Internet of Things security by enhanced sine cosine metaheuristics tuned hybrid machine learning model and results interpretation based on SHAP approach (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.1405v0.2/reviews/2openalex-snapshot
Peer Review #2 of "Addressing Internet of Things security by enhanced sine cosine metaheuristics tuned hybrid machine learning model and results interpretation based on SHAP approach (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.1405v0.2/reviews/3openalex-snapshot
Peer Review #3 of "Addressing Internet of Things security by enhanced sine cosine metaheuristics tuned hybrid machine learning model and results interpretation based on SHAP approach (v0.2)"
inferred← citeshttps://doi.org/10.7717/peerj-cs.1405openalex-snapshot
Addressing Internet of Things security by enhanced sine cosine metaheuristics tuned hybrid machine learning model and results interpretation based on SHAP approach
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.