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*Multivariate optimizing up -and -down design
ADAPTIVE PROCEDURES IN ANALYSIS OF VARIANCE
all-cases imputation variance estimator: A new approach to variance estimation for imputed data
Analysis of compositional data using Dirichlet covariate models
Application of renormalization group theory for fluids to water
APPROXIMATION OF THE DISTRIBUTION FUNCTION AND MOMENTS OF THE ONE-SAMPLE TWO-SIDED KOLMOGOROV-SMIRNOV STATISTIC
asymptotic behaviour of linear regression M-estimators for censored data
Bayesian Approach for Sample Selection Bias Correction in Regression
Bayesian inference in autoregressive Conditional Heteroscedasticity models:  A Monte Carlo assessment
Bayesian Monte Carlo methods for interpretation of observed earthquake magnitudes
Bayesian sequential inference for error rates and error amounts in accounting data
BOOTSTRAP METHODS FOR FINITE POPULATION SAMPLING
Characterizing and approximating scale mixtures
Comparative study of stable parameter estimators and regression with stably distributed errors
Comparison of regression techniques for certain patterned matrices in the errors in variables model
A DATA ANALYTIC TOOL FOR MEASURING COMPOSITIONAL VARIABILITY
Detecting autocovariance change in time series
DETECTING PATTERNS IN DATA:  A NEW STATISTIC FOR SMOOTHNESS AND NONRANDOMNESS (RESIDUALS, MODELING, RANDOMNESS TESTS)

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