Mathematics
Matrix (Mathematics)
100%
Local Influence
63%
Autoregressive Model
43%
Influence Diagnostics
42%
Linear Models
42%
Regression Model
38%
Simulation Study
32%
Variance
30%
Hadamard Product
29%
Perturbation Scheme
25%
Real Data
24%
Square Estimator
24%
Conditionals
21%
Covariance Matrix
20%
Linear Regression Model
19%
Local Influence Analysis
18%
Normal Curvature
17%
Elliptical Distribution
16%
Least Square
16%
Influential Observation
16%
Data Analytics
16%
Covariate
15%
Stochastics
14%
Monte Carlo
14%
Maximum Likelihood Estimator
14%
Upper Bound
13%
Positive Semidefinite Matrix
13%
Bayesian
13%
Asymmetric
13%
Statistical Property
12%
Variance Matrix
12%
Optimal Design
11%
Asymptotics
11%
Orthogonality
11%
Gaussian Distribution
11%
Information Matrix
10%
Skew-Normal Distribution
10%
Loss Function
9%
Square Regression
9%
Probability Theory
9%
Multivariate Normal Distribution
9%
Partial Least Squares
9%
Copula
9%
Random Matrix
9%
Type Inequality
9%
Quantile Regression
9%
Simplex
9%
Shrinkage Estimator
9%
Beta Distribution
9%
Propensity Score Method
9%
Keyphrases
Book Review
41%
Econometrics
37%
Hadamard Product
34%
Influence Diagnostics
33%
Local Influence Method
32%
Local Influence
31%
Kantorovich Inequality
29%
Efficiency Comparison
27%
Simulation Study
27%
Perturbation Scheme
26%
Regression Model
24%
Diagnostic Analytics
24%
Linear Regression Model
21%
Matrix Inequality
20%
Portfolio Optimization
20%
Diagnostic Analysis
20%
Sensitivity Analysis
19%
Moore-Penrose Inverse
18%
Positive Definite Matrix
18%
Autoregressive Model
18%
Covariance Matrix
18%
Statistical Properties
17%
Financial Data
17%
Matrix Differential Calculus
17%
Elliptical Distribution
16%
Estimation Method
16%
Local Influence Analysis
16%
Normal Curvature
16%
Vector Autoregressive Model
16%
Influential Observations
16%
Change Point Detection
15%
COVID-19 Pandemic
15%
Statistical Diagnostics
14%
Data Analytics
13%
Chapman
13%
Stochastic Restrictions
13%
Massive Data
13%
Clustering Algorithm
13%
Generalized Autoregressive Conditional Heteroscedasticity (GARCH)
13%
Model Fitting
13%
Maximum Likelihood Estimator
13%
Generalized Inverse
13%
Australia
12%
Regression Testing
11%
Matrix Trace
11%
Shape Context
10%
Proposed Methodology
10%
Skew-normal Distribution
10%
Popular
10%
Matrix Derivative
10%
