Identification in censored regression analysis and hazard models of duration outcomes relies on the condition that censoring points are independent of latent outcomes, an assumption which may be questionable in many settings. This note proposes a test for this assumption based on a Kolmogorov-Smirnov-like test statistic comparing two different nonparametric estimators for the latent outcome cdf...

When a spatial pattern is observed through a bounded window, inference about the pattern is hampered by sampling eeects known as \edge eeects". This chapter identiies two main types of edge eeects: size-dependent sampling bias and censoring eeects. Sampling bias can be eliminated by changing the sampling technique, or`corrected' by weighting the observations. Censoring eeects can be tackled usi...

Aalto University, P.O. Box 11000, FI-00076 Aalto www.aalto.fi Author Ankur Sinha Name of the doctoral dissertation Progressively Interactive Evolutionary Multiobjective Optimization Publisher Aalto University School of Economics Unit Department of Business Technology Series Aalto University publication series DOCTORAL DISSERTATIONS 17/2011 Field of research Decision Making and Optimization Abst...

Artificial neural networks are a powerful tool for analyzing data sets where there are complicated nonlinear interactions between the measured inputs and the quantity to be predicted. We show that the results obtained when neural networks are applied to survival data depend critically on the treatment of censoring in the data. When the censoring is modeled correctly, neural networks are a robus...

In this paper, we estimate the sensitivity of the adaptive censoring algorithm towards the change of the input parameters of pulse jamming of an Adaptive Postdetection Integration (API) CFAR processor. The censoring algorithm estimates the background environment and automatically defines the scale factor. We propose this algorithm to be used for the estimation of both, the probability of appear...