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Mean-variance efficient frontier, Outliers, Model risk, Robust estimation

structural equation model, latent variable, generalised linear model, factor analysis, multinomial logit, forecasts, LAMLE, canonical correlation

Latent variable, generalized linear model, factor analysis, multinomial logit, forecasts, LAMLE, Laplace approximation

logistic regression, misclassification, robust statistics, M-estimators, Rao’s score test, influence function, breastfeeding

Linear Regression, Multicollinearity, M-Estimator, Robust T-Test, Partial Correlation, False Discovery Rate, LARS, Random Forests

Consistency, Efficiency, Outliers, R-squared, Correlation

Categorical variables, Laplace approximation, LISREL, M-estimators, Penalized quasi-likelihood, Varimax rotation

C-step algorithm, minimum covariance determinant, outliers, robust statistics, S-estimators, orthogonalized Gnanadesikan-Kettering robust estimator

poverty lines, robust estimation, local prices, evaluation of basic non food needs, poverty comparisons

Extreme values, Logistic regression, Generalized linear models, Residual analysis, Model t

income distribution, inequality, poverty, robust statistics, influence function, model choice, grouped data, censored data, stochastic dominance

Factor Analysis, Principal Component Analysis, Nonparametric Regression, Bartlett’s Factor Scores, Dimension Reduction

S-estimator, asymptotic efficiency, generalized least squares, structural equations modeling, two-stage estimation

Hill estimator, Mallows' Cp, extreme order statistics, influence function

Distributional dominance, Lorenz curve, Robustness

Indirect inference, Influence function, Latent variable models, Mixed variables, Robust estimation

Confirmatory factor analysis, Laplace approximation, covariance structure, LISREL, Generalized Linear Latent Variable Models, LAMLE

censoring, income distribution, inequality measurement, influence function, Lorenz curve, sampling variance, trimming

Factor analysis, latent variables, M-estimators

Generalized latent trait, mixed items, influence function, robust estimation

Extreme values, tail index, income distribution, value at risk, M-estimators, regression

factor analysis, principal component analysis, nonparametric regression, Bartlett’s factor scores, dimension reduction

M-estimators, model choice, robust tests

Latent variable models, mixed items, influence function, robust estimation, indirect inference

logistic regression, misclassification, robust statistics, Mestimators, Rao's score test, influence function, breastfeeding

Lorenz curve, M-estimators, Pareto model, welfare dominance

detection of outliers, influence function, EM algorithm, ER algorithm, forward search algorithm, high breakdown estimator, minimum covariance determinant estimator, missing values, t-biweight S-estimator, M-estimator, robust statistics, factor analysis

Constrained covariance, Robust F-test, S-estimator, Variance components