This paper presents the development of an Aircraft Performance Risk Assessment Model (APRAM). The model consists of a set of software tools that processes aircraft data available from Digital Flight Data Recorders (DFDRs) and Quick Access Recorders (QARs) to identify precursor events and compute incident and accident risks. The feasibility version of the generic risk assessment model is limited...

When a potentially dangerous volcano becomes restless, civil authorities invariably turn to scientific specialists to help them anticipate what the volcano will do next, and to provide them with guidance as to the likely threats. Although it is usually possible to discern the earliest signs of unrest, the science of forecasting the course and timing of eruptions remains inexact. In this chapter...

Objective Background: To determine maternal pre-pregnancy body mass index (BMI), first trimester fasting blood sugar (FBS) and the combination (BMI+FBS) cut-points for at risk pregnant women conceived by assisted reproduction technology (ART) to better prediction of infertile women’s risk of developing gestational diabetes mellitus (GDM). MaterialsAndMethods In this nested case-control study, 2...

results the command is addpred for logistic regression models. conclusions the stata package provided herein can encourage the use of novel methods in examining predictive capacity of ever-emerging plethora of novel biomarkers. materials and methods we have written a stata command that is intended to help researchers obtain cut point-free and cut point-based net reclassification improvement ind...

One of the most important prediction problems in finite population is the prediction of a linear function of characteristic values of a finite population. In this paper the admissibility of linear predictors of an arbitrary linear function of characteristic values in a finite population under reflected normal loss function is considered. Under the super-population model, we obtain the condition...