Properties (49)
Predicate | Object |
---|---|
gptkbp:instanceOf |
Statistical concept
|
gptkbp:appliesTo |
Estimation theory
|
gptkbp:criteria |
Estimator selection
|
gptkbp:evaluates |
Estimator reliability
Optimal estimators |
https://www.w3.org/2000/01/rdf-schema#label |
CRLB
|
gptkbp:is_a_resource_for |
Statistical estimators
|
gptkbp:is_a_route_for |
Statistical practice
|
gptkbp:is_a_subject_of |
Bayesian statistics
Statistics Information theory Influences estimator design Limits the precision of estimators |
gptkbp:is_a_time_for |
Unbiased estimators
|
gptkbp:is_a_tool_for |
Model evaluation
|
gptkbp:is_essential_for |
Data analysis
Data science Hypothesis testing Assessing estimator efficiency |
gptkbp:is_evaluated_by |
1/Fisher information
|
gptkbp:is_referenced_in |
Statistical estimation
|
gptkbp:is_used_in |
Control theory
Machine learning Research papers Parameter estimation Experimental design Simulation studies Statistical literature Statistical textbooks Compare different estimators |
gptkbp:isConnectedTo |
Statistical inference
|
gptkbp:isUsedFor |
Fisher_information
|
gptkbp:legal_principle |
Statistical theory
|
gptkbp:measures |
Estimator performance
Information efficiency Statistical efficiency Variance bounds |
gptkbp:previousName |
Cramér and Rao
|
gptkbp:provides |
Lower bound on variance
|
gptkbp:related_to |
Quality control
Maximum likelihood estimation Bias-variance tradeoff Confidence intervals |
gptkbp:represents |
Cramér-Rao_lower_bound
|
gptkbp:suitableFor |
Econometrics
Signal processing Machine learning algorithms |
gptkbp:traditions |
Statistical analysis
|
gptkbp:was_a_factor_in |
Statistical modeling
|