Maximum Likelihood Estimations and EM Algorithms With Length-Biased Data - Qin, Jing; Ning, Jing; Liu, Hao; Shen, Yu (Journal of the American Statistical Association, 2011)
Keywords: Algorithms; Applications; Asymmetry; Bias; Cancer; Censored data; Censorship; Cox regression model; Dementia; Distribution; Estimation; Estimation bias; Estimation methods; Estimators; Etiology; Exact sciences and technology; General topics; Increasing failure rate; Insurance, economics, finance; Mathematics; Maximum likelihood estimation; Maximum likelihood estimators; Maximum likelihood method; Medical screening; Modeling; Nonparametric likelihood; Nonparametric models; Normality; Parameter estimation; Parametric inference; Probability and statistics; Probability theory and stochastic processes; Profile likelihood; Regression analysis; Reliability; Right-censored data; Sampling techniques; Sciences and techniques of general use; Semiparametric modeling; Simulation; Special processes (renewal theory, markov renewal processes, semi-markov processes, statistical mechanics type models, applications); Statistical methods; Statistics; Survival analysis; Theory and Methods; Nonparametric likelihood; Strong consistency; Estimator robustness; Censored sample; Non parametric estimation; Cox regression model; Statistical test; Estimator efficiency; Consistent estimator; Increasing function; Genetics; Sample survey; Increasing failure rate; Survival data; Censored data; Asymptotic behavior; Statistical estimation; Life test; Semiparametric method; Failure rate; Statistical method; Survival analysis; Profile likelihood; Estimating function; Cox model; Sampling theory; Estimating equation; Maximum likelihood; Econometrics; Reliability; EM algorithm; Right-censored data; Biased estimation