Estimation for Distributions with Monotone Failure Rate
From MaRDI portal
Publication:5617400
DOI10.1214/aoms/1177697091zbMath0214.45903OpenAlexW1997418557MaRDI QIDQ5617400
Publication date: 1970
Published in: The Annals of Mathematical Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1214/aoms/1177697091
Asymptotic properties of parametric estimators (62F12) Asymptotic distribution theory in statistics (62E20) Non-Markovian processes: estimation (62M09) Reliability and life testing (62N05)
Related Items
Berry-Esseen bounds for Chernoff-type nonstandard asymptotics in isotonic regression, A law of the iterated logarithm for Grenander's estimator, Concentration rate and consistency of the posterior distribution for selected priors under monotonicity constraints, A unified study of nonparametric inference for monotone functions, A central limit theorem for the Hellinger loss of Grenander‐type estimators, On the weak convergence of likelihood ratio processes of general statistical parametric models, Chernoff's density is log-concave, Limit theory in monotone function estimation, Classical Laplace estimation for \(\root3\of n\)-consistent estimators: improved convergence rates and rate-adaptive inference, Limit distribution theory for block estimators in multiple isotonic regression, The limit distribution of the \(L_{\infty}\)-error of Grenander-type estimators, A Bayes method for a monotone hazard rate via \(S\)-paths, Maximum likelihood estimators for bivariate distributions with monotone failure rates, Confidence intervals for multiple isotonic regression and other monotone models, Estimated stochastic programs with chance constraints, Shape Constrained Non-parametric Estimators of the Baseline Distribution in Cox Proportional Hazards Model, Testing departures from the increasing hazard rate property, An appraisal of some aspects of statistical inference under inequality constraints, A note on estimating a non-increasing density in the presence of selection bias, Estimation of the drift for diffusion process