Keyphrases
Finite Mixture
84%
EM Algorithm
55%
Simulation Study
51%
Heavy Tails
50%
Skewness
48%
Multimodality
46%
Finite Mixture of Regressions
44%
Censored Data
44%
Data-centric
44%
Linear Regression Model
40%
Scale Mixtures of Skew-normal Distributions
39%
Scale Mixtures of Normal Distributions
35%
Error Term
32%
Closed-form Expression
32%
Slash
30%
Maximum Likelihood Estimation
30%
Bump
29%
Financial Inclusion
29%
Peru
29%
Regression Modeling
29%
Skew-normal
27%
Contaminated Normal Distribution
27%
Modeling Data
27%
Bootstrap Method
27%
Number of Components
27%
Regression Model
25%
Normality
23%
Practical Utility
22%
Normality Assumption
19%
Heavy-tailed Errors
19%
Observed Information Matrix
19%
Maximum Likelihood Inference
17%
Censored Regression Model
16%
BirnbaumSaunders Distribution
14%
Birnbaum-Saunders Distribution
14%
Student-t Distribution
14%
Robust Regression
14%
Machine Learning Algorithms
14%
Maximum Likelihood
14%
Machine Learning Applications
14%
Mixture of Normal Distributions
14%
Rich Family
14%
Heavy-tailed Distribution
14%
Parametric Test
14%
Transformation Method
14%
High Flexibility
14%
Finite Scale
14%
Ex-Gaussian Distribution
14%
Bilingual Processing
14%
Self-organizing Map
14%
Mathematics
Finite Mixture
100%
Gaussian Distribution
73%
Regression Model
58%
Heavy Tail
44%
Censored Data
44%
Skewness
41%
Linear Regression Model
41%
Simulation Study
34%
Maximum Likelihood Estimate
33%
Skew-Normal Distribution
31%
Closed Form
26%
Error Term
26%
Information Matrix
18%
Censored Regression Model
16%
Maximum Likelihood
15%
EM Algorithm
14%
Saunders Distribution
14%
Robust Regression
14%
Heavy-Tailed Distribution
14%
Variance
11%
Random Error
11%
Finite Mixture Model
7%
Mixture Model
7%
Statistical Hypothesis Testing
7%
Wide Range
7%
Great Deal
7%
Identifiability
7%
Parametric Test
7%
Transformation Method
7%
Maximum Likelihood
7%
Outlier
7%
Asymmetric
6%
