Quantile assessments are commonly encountered in the elicitation of probability distributions in decision analysis, forecasting , and risk analysis. Scoring rules have been developed to provide ex ante incentives for careful and truthful assessments and ex post evaluation measures in the context of probability assessment. We show that these scoring rules… (More)
S coring rules can provide incentives for truthful reporting of probabilities and evaluation measures for the probabilities after the events of interest are observed. Often the space of events is ordered and an evaluation relative to some baseline distribution is desired. Scoring rules typically studied in the literature and used in practice do not take… (More)
Information measures arise in many disciplines, including forecasting (where scoring rules are used to provide incentives for probability estimation), signal processing (where information gain is measured in physical units of relative entropy), decision analysis (where new information can lead to improved decisions), and finance (where investors optimize… (More)
Induction motor is the most commonly used electrical machine in industry. Condition monitoring is necessary in order to avoid motor failure. Different fault monitoring techniques for induction motor can be broadly categorized as model based, signal processing based and soft computing techniques. Soft computing techniques give good analysis of a faulty… (More)
Description Creates point and probability forecasts from the trees in a random forest using a trimmed opinion pool.
— Induction motors are one of the commonly used electrical machines in industry because of many technical and economical reasons. They face various stresses during operating conditions leading to some modes of faults. Hence, condition monitoring becomes necessary in order to avoid catastrophic failures. Different fault monitoring techniques for induction… (More)