journal of accounting advances (j.a.a) vol. 5, no. 1, 2013, ser. 64/3     extended abstract   a study of characteristics of interim cash flow series and their proxies and the ability to predict them            dr. m. a. aghaei              v. ahmadian             f. daviran tarbiat modares university   introduction the predicting of annual and interim cash flows from operations is one of the mo...

Credit risk management is becoming more and more important in recent years. When a company deals with a financial problem, it may not be able to fulfill its financial obligations, which can cause direct and indirect financial losses to shareholders, creditors, investors and other people in the community. Advanced credit risk models that are based on market value include improving credit quality...

This paper examines the asymptotic and finite-sample properties of tests of equal forecast accuracy applied to direct, multi–step predictions from both non-nested and nested linear regression models. In contrast to earlier work in the literature, our asymptotics take account of the real-time, revised nature of the data. Monte Carlo simulations indicate that our asymptotic approximations yield r...

– Assessment of the quality of the logistic regression model is central to the conclusion. Application of logistic regression modeling techniques without subsequent performance analysis regarding predictive ability of the fitted model can result in poorly fitting results that inaccurately predict outcomes on new subjects. It is not unusual for statisticians to check fitted model with validation...

In clinical research, an understanding of prognostic factors is important in the design and analysis of clinical trials and retrospective reviews of clinical experience. The results of prognostic factor studies are usually summarized in the form of statistics resulting from statistical significance testing, i.e. estimated parameters, confidence intervals, and p-values. These statistics do not i...

The conventional criteria for predictive model selection do not indicate the absolute goodness of models. For example, the quantity of Akaike Information Criterion (AIC) has meanings only when we compare AIC of different models for a given amount of data. Thus, the existing criteria do not tell us whether the quantity and quality of data is satisfactory, and hence we cannot judge whether we sho...

In this paper, photovoltaic (PV) grid-connected inverter which is the core device in PV grid-connected system has been in depth research.An improved predictive current controller has been developed by the Authors for single-phase grid-connected voltage source inverters (VSI).Based on DSP TMS320LF2407A, a 10 kW single-phase grid-connected inverter has been built in this paper.Thus is aimed at us...

This paper presents analytical, Monte Carlo, and empirical evidence linking insample tests of predictive content and out-of-sample forecast accuracy. Our approach focuses on the negative effect that finite-sample estimation error has on forecast accuracy despite the presence of significant population-level predictive content. Specifically, we derive simple-to-use in-sample tests that test not o...

Stroke is an important cause of morbidity and mortality as well as functional impairment particularly in the elderly people (1). Prediction of stroke outcome in high risk patients by appropriate marker and application of preventive measures may delay or prevent development of irreversible brain damage and subsequent functional impairment (2). Development of stroke is the result of longstanding ...

Although selection tests are typically validated against only a single criterion, calls in the personnel selection literature urge the examination of selection devices across multiple criteria. This study examined biodata criterion-related validity across multiple performance criteria in a sample of 6,036 automated systems controller applicants. The performance measures examined included a pape...