Keyphrases
Finite Mixture
84%
EM Algorithm
55%
Simulation Study
46%
Multimodality
46%
Heavy Tails
45%
Censored Data
44%
Data-centric
44%
Skewness
43%
Linear Regression Model
40%
Scale Mixtures of Normal Distributions
35%
Error Term
32%
Closed-form Expression
32%
Slash
30%
Maximum Likelihood Estimation
30%
Bump
29%
Regression Modeling
29%
Finite Mixture of Regressions
29%
Contaminated Normal Distribution
27%
Skew-normal
27%
Bootstrap Method
27%
Number of Components
27%
Regression Model
25%
Scale Mixtures of Skew-normal Distributions
25%
Modeling Data
23%
Practical Utility
22%
Normality Assumption
19%
Normality
18%
Censored Regression Model
16%
BirnbaumSaunders Distribution
14%
Birnbaum-Saunders Distribution
14%
Student-t Distribution
14%
Compound Scale
14%
Robust Regression
14%
Financial Inclusion
14%
Heavy-tailed Errors
14%
Peru
14%
Machine Learning Algorithms
14%
Maximum Likelihood
14%
Machine Learning Applications
14%
Mixture of Normal Distributions
14%
Rich Family
14%
Observed Information Matrix
14%
Heavy-tailed Distribution
14%
Parametric Test
14%
Transformation Method
14%
High Flexibility
14%
Finite Scale
14%
Ex-Gaussian Distribution
14%
Bilingual Processing
14%
Translation Recognition
14%
Mathematics
Finite Mixture
100%
Gaussian Distribution
73%
Simulation Study
45%
Censored Data
44%
Regression Model
44%
Linear Regression Model
41%
Heavy Tail
41%
Skewness
37%
Maximum Likelihood Estimate
33%
EM Algorithm
29%
Information Matrix
29%
Bootstrapping
29%
Closed Form
26%
Error Term
26%
Finite Mixture Model
22%
Mixture Model
22%
Statistical Hypothesis Testing
22%
Wide Range
22%
Great Deal
22%
Statistics
22%
Skew-Normal Distribution
17%
Censored Regression Model
16%
Clustering Method
14%
Saunders Distribution
14%
Robust Regression
14%
Heavy-Tailed Distribution
14%
Maximum Likelihood
12%
Variance
11%
Random Error
11%
Maximum Likelihood Estimation
7%
Identifiability
7%
Parametric Test
7%
Transformation Method
7%
