Category:Estimation theory
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Here is a list of articles in the Estimation theory category of the computing portal that unifies foundations of mathematics and computations using computers.
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Subcategories
This category has the following 8 subcategories, out of 8 total.
B
E
I
M
P
R
U
Pages in category "Estimation theory"
The following 48 pages are in this category, out of 48 total.
- Estimation theory (computing)
1
- 1.96 (computing)
A
- Average treatment effect (computing)
B
- Bayesian message classification (computing)
C
- CDF-based nonparametric confidence interval (computing)
- Chapman–Robbins bound (computing)
- Confidence and prediction bands (computing)
- Confidence distribution (computing)
- Confidence region (computing)
- Coverage probability (computing)
- Cramér–Rao bound (computing)
D
- Data assimilation (earth)
E
- Efficiency (statistics) (computing)
- Empirical probability (computing)
- Endogeneity (econometrics) (computing)
- Estimand (computing)
- Estimation (computing)
- Estimation statistics (computing)
F
- Fisher consistency (computing)
- Fisher information (computing)
- Formation matrix (computing)
G
- Generalized pencil-of-function method (computing)
I
- Identifiability (computing)
K
- Kullback's inequality (computing)
L
- Least-angle regression (computing)
- Lehmann–Scheffé theorem (computing)
- Likelihood principle (computing)
- Linear regression (computing)
- Location estimation in sensor networks (computing)
M
- Matrix regularization (computing)
- MINQUE (computing)
N
- Nuisance parameter (computing)
O
- Observed information (computing)
P
- Parameter identification problem (computing)
- Parameter space (computing)
- Point estimation (computing)
R
- Rao–Blackwell theorem (computing)
- Regression analysis (computing)
- Relaxed intersection (computing)
- Richardson–Lucy deconvolution (computing)
S
- Set estimation (computing)
- Sheppard's correction (computing)
- Shrinkage (statistics) (computing)
- Statistical learning theory (computing)
- Stein's example (computing)
- Proof of Stein's example (computing)
U
- U-statistic (computing)
V
- V-statistic (computing)