On a risk-adjusted FISIM

Risk-adjusted control charts based on LR-fuzzy data

Control charts are widely used in industrial processes as well as in health sciences and particularly for monitoring the performance of cardiac surgeon or a group of surgeons based on the preoperative risk of patients. Since the preoperative risk is a vague and nonprecise variable and the anesthesiologists after checking how many risk factors a patient has, determine the risk of mortality befor...

Results of implementing the FISIM calculations by Member States: 1999 and revised 1995-1998 data

A risk adjusted self-starting Bernoulli CUSUM control chart with dynamic probability control limits

Usually, in monitoring schemes the nominal value of the process parameter is assumed known. However, this assumption is violated owing to costly sampling and lack of data particularly in healthcare systems. On the other hand, applying a fixed control limit for the risk-adjusted Bernoulli chart causes to a variable in-control average run length performance for patient populations with dissimilar...

The Effect of Estimation Error on Risk-adjusted Bernoulli GEWMA Control Chart in Multistage Healthcare Processes

Background and objectives: Risk-adjusted Bernoulli control chart is one of the main tools for monitoring multistage healthcare processes to achieve higher performance and effectiveness in healthcare settings. Using parameter estimates can lead to significantly deteriorate chart performance. However, so far, the effect of estimation error on this chart in which healthcare ...

Analysis of the effect of Accruals Strategy on Return on Investment Firms

This study analyses the effect of traditional and percent accruals strategies on excess and risk adjusted returns. In this analysis, the characteristics of investment firms were controlled. For this purpose, we collect quarterly data of 33 investment firms listed in Tehran Stock Exchange for the years 2011-2018. The hypotheses were tested using linear regression analysis. We find that traditi...