- Statistical inference
- Mathematical statistics
- Likelihood function
- Exponential family
- Bayesian inference
- Bayes' theorem
- Bayes estimator
- Prior distribution
- Posterior distribution
- Conjugate prior
- Frequentist inference
- Statistical hypothesis testing
- Null hypothesis
- Alternative hypothesis
- P-value
- Significance level
- Statistical power
- Likelihood-ratio test
- Confidence interval
- Statistical hypothesis testing
- Decision theory
- Optimal decision
- Type I and type II errors
- Estimation theory
- Estimator
- Bayes estimator
- Maximum likelihood
- Trimmed estimator
- M-estimator
- Non-parametric statistics
- Nonparametric regression
- Kernels
Read more about this topic: Outline Of Statistics
Famous quotes containing the word inference:
“Rules and particular inferences alike are justified by being brought into agreement with each other. A rule is amended if it yields an inference we are unwilling to accept; an inference is rejected if it violates a rule we are unwilling to amend. The process of justification is the delicate one of making mutual adjustments between rules and accepted inferences; and in the agreement achieved lies the only justification needed for either.”
—Nelson Goodman (b. 1906)
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