Keyphrases
Mixed Models
100%
Behrens-Fisher Problem
80%
High-dimensional Data
80%
Two-sample
80%
Dimensionality Reduction
80%
Random Effects
53%
Subvector
53%
Chi-square
46%
Finite Sample Performance
46%
Dimension Reduction Model
40%
Parametric Regression
40%
Parametric Single-index Models
40%
Heteroscedasticity
40%
Trace-based
40%
Variance Component Test
40%
Hypothesis Testing Problem
40%
Single-index Model
40%
Difference Basis
40%
Testing Problem
40%
Variance Components
40%
Local Smoothing Test
40%
Adaptive Approach
40%
Model Adaptive
40%
Linear Regression
40%
Empirical Likelihood
40%
Empirical Likelihood Inference
40%
Nonignorable Missing Response
40%
Scale Invariant
33%
Asymptotically Normal
33%
Convergence Rate
27%
Local Hypothesis
27%
Fast Rates
27%
Test Statistic
27%
Scale-invariant Test
26%
Missing Data Mechanism
26%
Parameter Estimation
26%
Confidence Interval
26%
Simulation Study
26%
Lasting Impact
20%
Reduction Test
20%
Regression Model
20%
Statistical Science
20%
Relevant Tests
20%
Global Smoothing
20%
Model Adaptation
20%
Local Smoothing
20%
Statistical Inference
20%
Adaptive Difference
20%
Adaptive Test
20%
Curse of Dimensionality
20%
Local Alternatives
20%
Regression Estimation
20%
Nonparametric Regression
20%
Normality
20%
Limiting null Distribution
20%
Fit Test
20%
Variance Function
16%
Scale Variant
13%
High-dimensional Setting
13%
Nonignorable Nonresponse
13%
Nonignorable Missingness
13%
Missing Response Data
13%
Weighted Empirical Likelihood
13%
Order Moments
13%
Clustered Designs
13%
Strongly Consistent
13%
Projection Method
13%
Response Probability
13%
Asymptotic Normality
13%
Random Error
13%
Coverage Probability
13%
Challenging Issues
13%
Second-order Moment
13%
Moment Estimation
13%
Linear Regression Model
13%
Likelihood Ratio
13%
Real-time Data Analysis
13%
Exponential Tilting Model
13%
Function-based
13%
Bias Correction
13%
Conditional Moments
8%
Mean Function
8%
Fast Convergence Rate
8%
Nonparametric
8%
Power Performance
8%
Mathematics
Analysis of Variance
100%
Mixed Model
100%
Behrens-Fisher Problem
80%
Dimensional Data
80%
Model Index
80%
Random Effect
53%
Real Data
44%
Parametric Regression Model
40%
Variance Component
40%
Hypothesis Testing Problem
40%
Convergence Rate
40%
Variance Function
40%
Heteroscedasticity
40%
Null
40%
Alternative Hypothesis
40%
Parametric
40%
Linear Regression Analysis
40%
Empirical Likelihood
40%
Local Alternative Hypothesis
33%
Testing Problem
33%
Test Statistic
30%
Simulation Study
21%
Regression Model
20%
Covariate Vector
20%
Statistical Science
20%
Numerical Analysis
20%
Inferential Statistics
20%
Cube
20%
Variance
20%
Conditionals
20%
Missing Mechanism
16%
Confidence Interval
16%
Non-Parametric Regression
13%
Moment Estimate
13%
Regression Estimation
13%
Curse of Dimensionality
13%
Random Error
13%
Lack Of Fit
13%
Test Procedure
13%
Response Data
8%
Asymptotic Normality
8%
Parameter Estimation
8%
Nonresponse
8%
Linear Regression Model
8%
Exponential Tilting
8%
Probability of Coverage
8%
Response Probability
8%
Parameter Estimate
8%
Likelihood Ratio
8%