Mathematics
Longitudinal Data
100%
Linear Mixed Model
86%
Missing Values
73%
Conditional Expectation
52%
Nonlinear Mixed Effects Model
50%
Model-based Clustering
46%
Methodology
41%
Maximum Likelihood Estimation
38%
Skew
38%
Random Effects
37%
t-distribution
36%
Modeling
33%
Multivariate Data
32%
Model
30%
Finite Mixture
30%
Clustering
30%
High-dimensional Data
29%
Simulation Study
28%
Multivariate T-distribution
28%
Standard error
28%
Nonlinear Mixed Model
27%
Imputation
26%
Observation
23%
Missing at Random
21%
Detection Limit
21%
Likelihood Inference
21%
Censored Data
20%
Heavy Tails
19%
Repeated Measures
19%
Skewness
18%
Maximum Likelihood
18%
Bayesian Analysis
18%
Skew-normal Distribution
17%
Common factor
17%
Linear Mixed Effects Model
17%
Censoring
17%
Mixture Model
17%
Missing Data
17%
Incomplete Data
15%
Model-based
15%
Parameter Estimation
15%
Mixture Distribution
14%
Trajectory
14%
Maximum Likelihood Estimate
14%
Bayes' Formula
13%
Learning
13%
Business & Economics
Mixed Model
75%
Longitudinal Data
74%
Missing Values
40%
Maximum Likelihood Estimation
39%
Factor Analysis
36%
Conditional Expectation
31%
Clustering
31%
Maximum Likelihood
29%
Outliers
24%
Missing Information
23%
Simulation Study
18%
Imputation
18%
Censored Data
17%
Inference
17%
Bayesian Analysis
17%
Incomplete Data
16%
Finite Mixture
15%
Modeling
15%
Covariance Matrix
14%
Methodology
13%
Mixture Model
13%
Factors
13%
Repeated Measures
12%
Parameter Estimation
12%
Box-Cox Transformation
11%
Matrix
11%
Normal Distribution
10%
Gibbs Sampler
10%
Missing Data
10%
Non-response
10%
Common Factors
10%
Skewness
10%
Maximum Likelihood Estimator
9%
Life Stress
9%
Censored Regression Model
9%
Measurement Error
9%
Prediction
8%
Clinical Trials
8%
Mixture Distribution
8%
Bayesian Inference
8%
Covariates
8%
Normality
8%
Student-t Distribution
7%
Trajectory
7%
Censoring
6%
Serial Correlation
6%
Multiple Imputation
5%
Mean-variance
5%
