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Nonparametric hypothesis testing for equality of means on the simplex
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4899-4541-9openalex-snapshot
An Introduction to the Bootstrap
inferredcites →https://doi.org/10.1007/978-94-009-4109-0openalex-snapshot
The Statistical Analysis of Compositional Data
inferredcites →https://doi.org/10.1007/s00362-009-0264-2openalex-snapshot
Analysis of an European union election using principal component analysis
inferredcites →https://doi.org/10.1007/s11004-005-1308-3openalex-snapshot
Compositional Data Analysis of Some Alkaline Glasses
inferredcites →https://doi.org/10.1016/0167-7152(94)00189-fopenalex-snapshot
Two-sample empirical likelihood method
inferredcites →https://doi.org/10.1016/j.spl.2003.10.012openalex-snapshot
Modified Nel and Van der Merwe test for the multivariate Behrens–Fisher problem
inferredcites →https://doi.org/10.1016/j.spl.2007.09.006openalex-snapshot
Empirical likelihood for the two-sample mean problem
inferredcites →https://doi.org/10.1080/000368400322002openalex-snapshot
Compositional data analysis and zeros in micro data
inferredcites →https://doi.org/10.1080/01621459.1996.10476976openalex-snapshot
Improved Pivotal Methods for Constructing Confidence Regions With Directional Data
inferredcites →https://doi.org/10.1093/biomet/41.1-2.19openalex-snapshot
TESTS OF LINEAR HYPOTHESES IN UNIVERIATE AND MULTIVARIATE ANALYSIS WHEN THE RATIOS OF THE POPULATION VARIANCES ARE UNKNOWN
inferredcites →https://doi.org/10.1093/biomet/75.2.237openalex-snapshot
Empirical Likelihood Ratio Confidence Intervals for a Single Functional
inferredcites →https://doi.org/10.1093/biomet/76.3.447openalex-snapshot
On adjustments based on the signed root of the empirical likelihood ratio statistic
inferredcites →https://doi.org/10.1093/biomet/asq028openalex-snapshot
Empirical likelihood methods for two-dimensional shape analysis
inferredcites →https://doi.org/10.1111/anzs.12073openalex-snapshot
Colours and Cocktails: Compositional Data Analysis 2013 Lancaster Lecture
inferredcites →https://doi.org/10.1111/j.1467-842x.1997.tb00520.xopenalex-snapshot
TWO‐SAMPLE NONPARAMETRIC TILTING METHOD
inferredcites →https://doi.org/10.1111/j.1467-9469.2010.00690.xopenalex-snapshot
Two-Sample Bootstrap Hypothesis Tests for Three-Dimensional Labelled Landmark Data
inferredcites →https://doi.org/10.1111/j.1541-0420.2008.01124.xopenalex-snapshot
Adjusted Exponentially Tilted Likelihood with Applications to Brain Morphology
inferredcites →https://doi.org/10.1111/j.2517-6161.1982.tb01195.xopenalex-snapshot
The Statistical Analysis of Compositional Data
inferredcites →https://doi.org/10.1198/106186005x59270openalex-snapshot
Empirical Likelihood Ratio With Arbitrarily Censored/Truncated Data by EM Algorithm
inferredcites →https://doi.org/10.1201/9780429246593openalex-snapshot
An Introduction to the Bootstrap
inferredcites →https://doi.org/10.1214/aos/1176325370openalex-snapshot
Empirical Likelihood and General Estimating Equations
inferredcites →https://doi.org/10.1214/aos/1176347494openalex-snapshot
Empirical Likelihood Ratio Confidence Regions
inferredcites →https://doi.org/10.2307/1403462openalex-snapshot
Methodology and Algorithms of Empirical Likelihood
inferredcites →https://doi.org/10.2307/1403474openalex-snapshot
Nonparametric Confidence Limits by Resampling Methods and Least Favorable Families
inferredcites →https://doi.org/10.2307/2333003openalex-snapshot
Tests of Linear Hypotheses in Univariate and Multivariate Analysis when the Ratios of the Population Variances are Unknown
inferredcites →https://doi.org/10.2307/3314608openalex-snapshot
Nonparametric standard errors and confidence intervals
inferredcites →https://doi.org/10.32614/cran.package.compositionalopenalex-snapshot
Compositional: Compositional Data Analysis
inferredcites →https://doi.org/10.48550/arxiv.1106.1451openalex-snapshot
A data-based power transformation for compositional data
inferredcites →https://doi.org/10.5705/ss.2009.117openalex-snapshot
Constructing nonparametric likelihood confidence regions with high order precisions
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A Review of Flexible Transformations for Modeling Compositional Data
inferred← citeshttps://doi.org/10.1007/s11222-024-10560-zopenalex-snapshot
Constrained least squares simplicial-simplicial regression
inferred← citeshttps://doi.org/10.1016/j.chemolab.2024.105121openalex-snapshot
Variable selection and inference strategies for multiple compositional regression
inferred← citeshttps://doi.org/10.1016/j.jebo.2021.12.010openalex-snapshot
Coordination With Preferences Over the Coalition Size
inferred← citeshttps://doi.org/10.1080/00949655.2019.1677659openalex-snapshot
Hypothesis testing for two population means: parametric or non-parametric test?
inferred← citeshttps://doi.org/10.1080/03610918.2022.2045499openalex-snapshot
An investigation of hypothesis testing procedures for circular and spherical mean vectors
inferred← citeshttps://doi.org/10.1080/03610918.2026.2636167openalex-snapshot
Energy based equality of distributions testing for compositional data
inferred← citeshttps://doi.org/10.1080/03610926.2021.2014890openalex-snapshot
A review of compositional data analysis and recent advances
inferred← citeshttps://doi.org/10.1093/biomtc/ujaf034openalex-snapshot
Power-enhanced two-sample mean tests for high-dimensional microbiome compositional data
inferred← citeshttps://doi.org/10.21203/rs.3.rs-5595426/v1openalex-snapshot
Energy Based Equality of Distributions Testing for Compositional Data
inferred← citeshttps://doi.org/10.22237/jmasm/1604189940openalex-snapshot
JMASM 52: Extremely Efficient Permutation and Bootstrap Hypothesis Tests Using R
inferred← citeshttps://doi.org/10.32614/cran.package.compositionalopenalex-snapshot
Compositional: Compositional Data Analysis
inferred← citeshttps://doi.org/10.3389/fcimb.2026.1828471openalex-snapshot
rCCLasso: a robust framework for microbial correlation network analysis reveals age-related microbial dynamics
inferred← citeshttps://doi.org/10.48550/arxiv.1806.10947openalex-snapshot
Extremely efficient permutation and bootstrap hypothesis tests using R
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