Modeling Variables with a Detection Limit using a Truncated Normal Distribution with Censoring [post]

2020 unpublished
When data are collected subject to a detection limit, observations below the detection limit may be considered censored. In addition, the domain of such observations may be restricted; for example, values may be required to be non-negative. Methods We propose a regression method for censored observations that also accounts for domain restriction. The method finds maximum
doi:10.21203/rs.2.20251/v1 fatcat:ock27zioefgy7ceu7wxzb5th2q