life duration of new firms in iranian manufacturing industries using cox proportional hazard model

Life Duration of New Firms in Iranian Manufacturing Industries Using Cox Proportional Hazard Model

In this paper, the Cox proportional hazard model is used to answer several questions. In general, fourteen variables are applied in four groups: firm, industry, expenditure human resources specific characteristics as well. According to the previous literature in this field, the findings of this paper also show that the factors which affect life duration of firms are different between industries...

Examining Effective Factors on Duration Time of Recommitment Using Cox's Proportional Hazard Model

Abstract. Recently, in most of scientific studies, the use of survival analysis is performed for examining duration time models.  One of the important applications of survival analysis is the study of recommitment crime in criminology which has not yet been considered in Iran.  So, with attention to the necessity and importance of predicting recommitment time and the analysis of duration model...

Energy Resources Consumption Performance in Iranian Manufacturing Industries by Using Cost/Revenue Efficiency Model

Industries are one of the main sources of pollution in the world. Besides, the levels of energy resources consumption including water, electricity, and fossil fuel are very different among industries. On the other hand, Iranian government pays a large amount of energy subsidy to manufacturing units. Because of it, the government wants to know which of manufacturing industries are efficient, pro...

Evaluation of Iranian electronic products manufacturing industries using an unsupervised model, ARAS, SAW, and DEA models

Failure event prediction using the Cox proportional hazard model driven by frequent failure signatures

The analysis of event sequence data that contains system failures is becoming increasingly important in the design of service and maintenance policies. This paper presents a systematic methodology to construct a statistical prediction model for failure event based on event sequence data. First, frequent failure signatures, defined as a group of events/errors that repeatedly occur together, are ...

Using of frailty model baseline proportional hazard rate in Real Data Analysis

Many populations encountered in survival analysis are often not homogeneous. Individuals are flexible in their susceptibility to causes of death, response to treatment and influence of various risk factors. Ignoring this heterogeneity can result in misleading conclusions. To deal with these problems, the proportional hazard frailty model was introduced. In this paper, the frailty model is ex...