Pages that link to "Item:Q4541288"
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The following pages link to Asymptotics for Analysis of Variance When the Number of Levels is Large (Q4541288):
Displaying 29 items.
- Testing for cross-sectional dependence in a panel factor model using the wild bootstrap \(F\) test (Q379922) (← links)
- A modified two-factor multivariate analysis of variance: asymptotics and small sample approxi\-mations (Q421396) (← links)
- Hypothesis testing in linear regression when \(k/n\) is large (Q738075) (← links)
- A local factor nonparametric test for trend synchronism in multiple time series (Q739586) (← links)
- MANOVA for large hypothesis degrees of freedom under non-normality (Q946212) (← links)
- Analysis of comparative data with hierarchical autocorrelation (Q958333) (← links)
- Partition clustering of high dimensional low sample size data based on \(p\)-values (Q961889) (← links)
- Extending the scope of empirical likelihood (Q1018635) (← links)
- Asymptotics for tests on mean profiles, additional information and dimensionality under non-normality (Q1022003) (← links)
- Rank procedures for a large number of treatments (Q1781507) (← links)
- The ANOVA \(F\) test can still be used in some balanced designs with unequal variances and nonnormal data (Q1888303) (← links)
- Approximate tests in unbalanced two-way random models without interaction (Q1926106) (← links)
- Bayesian multi-way balanced nested MANOVA models with random effects and a large number of the main factor levels (Q2044765) (← links)
- Testing the equality of a large number of means of functional data (Q2048122) (← links)
- Testing for local covariate trend effects in volatility models (Q2192311) (← links)
- Asymptotic expansion for the null distribution of the \(F\)-statistic in one-way ANOVA under non-normality (Q2457972) (← links)
- Nonparametric methods in multivariate factorial designs for large number of factor levels (Q2475742) (← links)
- Asymptotics for testing hypothesis in some multivariate variance components model under non-normality (Q2581515) (← links)
- Testing for interaction in two-way random and mixed effects models: the fully nonparametric approach (Q2893387) (← links)
- Hypothesis testing in unbalanced two-fold nested random models (Q3178200) (← links)
- Rank tests in heteroscedastic multi-way HANOVA (Q3391784) (← links)
- Approximate test for testing a null variance ratio in the Unbalanced One-Way Random Model (Q5083609) (← links)
- High-dimensional rank-based inference (Q5114476) (← links)
- Rank-Based Inference for Multivariate Data in Factorial Designs (Q5280263) (← links)
- The limiting distribution of the<i>F</i>-statistic from nonnormal universes (Q5423161) (← links)
- (Q5845670) (← links)
- Tests for the existence of group effects and interactions for two-way models with dependent errors (Q6046056) (← links)
- On detecting non‐monotonic trends in environmental time series: a fusion of local regression and bootstrap (Q6069070) (← links)
- STATISTICAL INFERENCE WITH <i>F</i>-STATISTICS WHEN FITTING SIMPLE MODELS TO HIGH-DIMENSIONAL DATA (Q6145544) (← links)