activity
20072019
most citedNonparametric estimation of a distribution function under biased sampling and censoring

12 citations · 15 across the 4 of their papers we have counts for

collaborators

6 papers

stat.AP2019

Spatial modeling of randomly acquired characteristics on outsoles with application to forensic shoeprint analysis

Naomi Kaplan Damary, Micha Mandel, Yoram Yekutieli +2

Footwear comparison is used to link between a suspect's shoe and a footprint found at a crime scene. Investigators compare the two items using randomly acquired characteristics (RA…

stat.ME2019

Testing Independence under Biased Sampling

Yaniv Tenzer, Micha Mandel, Or Zuk

Testing for association or dependence between pairs of random variables is a fundamental problem in statistics. In some applications, data are subject to selection bias that causes…

math.ST2018

The Scaled Uniform Model Revisited

Micha Mandel

Sufficiency, Conditionality and Invariance are basic principles of statistical inference. Current mathematical statistics courses do not devote much teaching time to these classica…

stat.AP2013★ 3 cited

Variance function estimation in quantitative mass spectrometry with application to iTRAQ labeling

Micha Mandel, Manor Askenazi, Yi Zhang +1

This paper describes and compares two methods for estimating the variance function associated with iTRAQ (isobaric tag for relative and absolute quantitation) isotopic labeling in…

math.ST2011

Are adaptive allocation designs beneficial for improving power in binary response trials?

David Azriel, Micha Mandel, Yosef Rinott

We consider the classical problem of selecting the best of two treatments in clinical trials with binary response. The target is to find the design that maximizes the power of the…

math.ST2007★ 12 cited

Nonparametric estimation of a distribution function under biased sampling and censoring

Micha Mandel

This paper derives the nonparametric maximum likelihood estimator (NPMLE) of a distribution function from observations which are subject to both bias and censoring. The NPMLE is ob…