Edna M. White's research while affiliated with Florida Atlantic University and other places

Publications (12)

Article
A large body of empirical studies has shown that a forecast developed by combining individual base forecasts performs surprisingly well. Previous work on the combination of forecasts has been confined to the area of time series forecasting. This work extends the combination of forecasts technique into the domain of forecasting one-time competitive...
Article
This article explores the literature in graphic information presentation and managerial decision making. The literature suggests that task must be controlled in experimental design. The results of an experiment undertaken to determine the effects of collecting numeric versus graphic responses onforecasting accuracy are discussed. Results of the stu...
Article
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A challenging problem in process control is the selection of input levels which will produce desirable output quality. This problem is complicated by the unsure relationships of cause and effect and by the trade-offs between meeting conflicting output specifications. This paper proposes a new approach, which incorporates prediction-interval constra...
Article
The authors present a novel approach for estimating the failure-time distribution using count data, the number of failures per interval, from periodic inspection of a standby redundant system. The procedure is based on a result for stationary renewal processes that related the forward recurrence time to the interevent time distribution. The procedu...
Article
The paper reports results of an experiment conducted to evaluate subjective versus objective combination of forecasts. The subjects were undergraduate students at Texas A&M. The students forecasted two different types of time series. The results found show that the subjective combination of forecasts improves their accuracy as compared with individ...
Article
A framework for the systematic study of the combination of sales and market forecasts is proposed based on the types of forecasts to be combined and the methods used to combine them. A detailed survey of the literature is given in terms of the developed framework and general conclusions about the combination of forecasts area are developed. Some fu...
Article
A framework for the systematic study of the combination of sales and market forecasts is proposed based on the types of forecasts to be combined and the methods used to combine them. A detailed survey of the literature is given in terms of the developed framework and general conclusions about the combination of forecasts area are developed. Some fu...
Article
It is important in a production process to select the levels of the process variables so that the quality variables are produced within specifications. Regression analysis can be used for modeling imperfectly understood process relationships, but this does not always give optimal solutions. Use of optimization techniques, such as linear programming...
Article
This paper addresses the importance of goal setting in the operations function. The importance of goal setting and its possible role in the implementation and operation of production systems is considered with particular emphasis on Material Requirements Planning (MRP). It has been argued that an operative goal setting process can improve employees...
Article
A new process control chart, designated the simultaneous control chart, is introduced. Through the use of resistant measures and a modified box plot display, this single chart controls the process level and variability and also supplies information about the process distribution and specifications. It is argued that the simultaneous control chart p...

Citations

... Many researchers have proposed simultaneous control charts. For univariate cases, the simultaneous control chart was first introduced by White and Schroeder [1] using the boxplot method. Since then, many researchers have developed univariate simultaneous control charts. ...
... These quantities were then used in an asymptotic z-test. The results for marketing Second, we had removed extreme outliers from our samples (i.e., values above or below three times the interquartile range; Dattero et al. 1991). To check whether retaining the outliers would have led to different conclusions, we re-estimated all the MTMM matrices with the full data set. ...
... A combination of modified formula E.C. Harrington desirability function and RSM, called desirability optimization methodology (DOM), was used to optimize the overall product quality among multiple quality properties [9]. The desirability function was used to combine multiple responses into one response called the "desirability function" by choice of value from 0 (one or more product characteristics are unacceptable) to 1 (all product characteristics are on target) [10]. The method is attractive because it is simple and intuitive. ...
... The utilization of forecast combinations is justified by the facts that: (i) there is no perfect forecasting technique, since there is no way to acquire the reality exactly as it is; (ii) it's not known if a forecasting technique will always present a better performance than other techniques in all periods and forecast horizon intervals using the whole series of data (Flores & White, 1988 According to Flores and White (1988), in order to use a combination of forecasts, the selection of the base forecast techniques is necessary to determine which forecasts to include in the combination. One must then choose the combination methods, which is how the individual techniques will be combined. ...
... A combination of modified formula E.C. Harrington desirability function and RSM, called desirability optimization methodology (DOM), was used to optimize the overall product quality among multiple quality properties [9]. The desirability function was used to combine multiple responses into one response called the " desirability function " by choice of value from 0 (one or more product characteristics are unacceptable) to 1 (all product characteristics are on target) [10]. The method is attractive because it is simple and intuitive. ...
... Although better accuracy among those shown tables and false confidence in those shown graphs are the most robust findings in this investigation, the underlying causes of the differential effects of tables and graphs on forecasting are less clear. The advantage of tables over graphs for forecasting was somewhat surprising, given the rich literature that may suggest otherwise (Carey & White, 1991;Harvey & Bolger, 1996). For example, modern media tend to visualize data as graphs, and prior work has shown that people work better with visualizations with which they are familiar (Coll et al., 1991), and that graphs are more effective with repeated practice (DeSanctis & Jarvenpaa, 1985). ...
... In general, mean absolute percentage error (MAPE), root mean square error (RMSE), mean absolute error (MAE), and maximum absolute percentage error (Max-APE) are the indicators used to evaluate the goodness of fit of predictive models [44]. Among these indicators, MAPE has become increasingly popular as a performance measure in forecasting [45][46][47], as it is easy to interpret and understand in addition to being highly reliable [48]. The coefficient of determination (R 2 ) was calculated for all data points by comparing the results predicted by the ANN model with the results obtained from laboratory tests. ...
... For many authors dealing with the topic of organizational performance goal setting is a crucial issue (White and Flores, 1987;Locke and Latham, 2002;Xenikou and Simosi, 2006;Healthcare Registration, 2010). One of the most important articles in this field is one written by Locke and Latham (2002), in which they summarize 25 years of research on goal setting. ...
... A lot of research works had been carried out with the objective of searching for a better technique. Despite the continued effort for a better forecasting model, it had not been possible to come up with a forecasting method that is always best or even better than another for every period and time horizon [10]. That is where the idea of combining multiple approaches with a satisfactory individual performance gets a good ground. ...
... Other Perry e Euler (1990) Situations where time is a scarce resource White et al. (1992) Thoroughbred horse race outcomes Meade e Islam (1998) Technological forecasting Cho e Wüthrich (1999) Information available on the World Wide Web Host et al. (2007) Laboratory experiments Stathopoulos et al. (2008) Urban traffic Spann e Skiera (2009) Betting market Zhang et al. (2010) Semiarid mountains Christodoulos et al. (2011) Propagation of a successful innovation Green e Armstrong (2011) Decisions in conflict situations ...