experimental design. This paper provides estimators for quantiles and conditional on X moments of W under both nonparametric and … semiparametric specifications. …

The nonparametric censored regression model, with a fixed, known censoring point (normalized to zero), is y = max[0,m … estimators of m(x) and its derivatives. The convergence rate is the same as for an uncensored nonparametric regression and its … heteroskedasticity. We also extend the estimator to the nonparametric truncated regression model, in which only uncensored data points …

This paper is concerned with developing a semiparametric panel model to explain the trend in UK temperatures and other … twenty six Meteorological Office stations. The data is an unbalanced panel. We allow the trend to evolve in a nonparametric …

fixed effects can be estimated with only predetermined regressors. The estimator is semiparametric in that the error …