Higher order density approximations for solutions to estimating equations
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Publication:900825
DOI10.1016/j.jmva.2015.09.014zbMath1360.62065OpenAlexW2193413837MaRDI QIDQ900825
Publication date: 23 December 2015
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2015.09.014
Asymptotic properties of parametric estimators (62F12) Asymptotic distribution theory in statistics (62E20)
Cites Work
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- On the density of minimum contrast estimators
- Saddlepoint approximations for multivariate \(M\)-estimates with applications to bootstrap accuracy
- Small sample asymptotic expansions for multivariate M-estimates
- Large deviation and other results for minimum contrast estimators
- The density of multivariate \(M\)-estimates.
- The exact distribution of the maximum likelihood estimators for the linear regression negative exponential model
- On the Kostlan-Shub-Smale model for random polynomial systems. Variance of the number of roots
- Likelihood Asymptotics
- Tensor notation and cumulants of polynomials
- On a formula for the distribution of the maximum likelihood estimator
- Level Sets and Extrema of Random Processes and Fields
- Matrix Analysis
- Origin of Rice's formula
- Conditionality resolutions
- Reflections on Rice's Formulae for Level Crossings - History, Extensions and Use
- On methods of asymptotic approximation for multivariate distributions
- On the Number of Solutions of Systems of Random Equations
- On the average number of real roots of a random algebraic equation
- Mathematical Analysis of Random Noise
- Robust Statistics
- Series approximation methods in statistics.
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