Mathematics
Estimator
100%
Asymptotic Normality
70%
Censored Survival Data
57%
Censoring
56%
Weighted Bootstrap
54%
Sufficient Dimension Reduction
51%
Palindrome
49%
Spearman's coefficient
49%
Bias Reduction
48%
Edgeworth Expansion
46%
Variance Reduction
43%
Concordance
43%
Graphical Representation
43%
Right-censored Data
42%
Sample Size
42%
Simulation
40%
Hazard
40%
Nonparametric Estimation
37%
Compatibility
36%
Conditional Distribution
36%
Weighting
36%
Higher Dimensions
34%
Methodology
34%
Hazard Models
30%
Performance
30%
Covariates
27%
Central Subspace
27%
Regression
27%
Principal Component Analysis
26%
Hot Spot
26%
Asymptotic Properties
25%
Estimate
24%
Bandwidth Selection
24%
Partial
24%
Truncation
22%
Small Sample Size
21%
Receiver Operating Characteristic Curve
21%
Sampling Distribution
20%
Confidence Region
20%
Nonparametric Estimator
19%
Regression Model
19%
Coverage Probability
19%
Markov Model
19%
Perturbation Theory
18%
Left Censoring
18%
Error term
17%
Numerical Study
17%
Time-dependent Covariates
16%
Survival Data
16%
Pseudo-likelihood
15%
Business & Economics
Asymptotic Normality
91%
Sample Size
86%
Estimator
75%
Dimension Reduction
72%
Censoring
68%
Edgeworth Expansion
58%
Rank Correlation
48%
Matrix
47%
Conditional Distribution
43%
Concordance
43%
Compatibility
36%
Weighting
34%
Principal Component Analysis
34%
Bootstrap
34%
Covariates
33%
Perturbation Theory
29%
Markov Model
26%
Simulation
25%
Hazard
25%
Regression Model
19%
Confidence Interval
17%
Confidence Region
17%
Receiver Operating Characteristic Curve
16%
Health and Retirement Study
15%
Eigenvalues
15%
Asymptotic Properties
14%
Finite Sample
14%
Small Sample
13%
Performance
12%
Bayesian Information Criterion
12%
Sampling
12%
Semiparametric Model
12%
Probability Distribution
11%
Optimality
11%
Methodology
10%
Gradient
9%
Usefulness
9%
Competitors
8%
Coefficients
8%
Polynomials
8%
Uniqueness
8%
Bioinformatics
7%
P Value
6%
Approximation
5%
Graph
5%
Symmetry
5%