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Asymptotic optimality theorem • Generalized empirical likelihood • Optimal instruments • Regular estimator • Semi-nonparametric model • Sieve estimation

Adaptive estimator • Appendix:Convergence of random variables • Appendix:Ordinary least squares • Asymptotic theory (statistics) • Complex normal distribution • Consistent estimator • Continuous mapping theorem • Deming regression • Divergence (statistics) • Efficient estimator • Errors-in-variables models • Extremum estimator • Generalized method of moments • Hájek–Le Cam convolution theorem • Hodges’ estimator • Identifiability • List of integrals of Gaussian functions • Local asymptotic normality • Ordinary least squares • Parametric model • Probit model • Seemingly unrelated regressions • Simultaneous equations model • Smoothness (probability theory)

Central limit theorem • Characteristic function (probability theory) • Contiguity (probability theory) • Convergence of random variables • D'Agostino's K-squared test • Isserlis’ theorem • Linear regression • Maximum likelihood • Maximum spacing estimation • Negative binomial distribution • Normal distribution • Probability space • Random variable • Simple linear regression • Slutsky’s theorem • T-statistic • Weierstrass factorization theorem

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