Comparison of Two Grey Models Applied in Predicting Numbers of Candidates for College Entrance Examination

2011 ◽  
Vol 105-107 ◽  
pp. 2225-2228
Author(s):  
Gang Li ◽  
Ying Fang ◽  
Ya La Tong
Keyword(s):  
Decision Making ◽  
Prediction Models ◽  
Technical Information ◽  
Grey Model ◽  
Entrance Examination ◽  
Grey Prediction ◽  
College Entrance Examination ◽  
College Entrance ◽  
Grey Models ◽  
The Difference

This paper mainly used two different grey models to predict the numbers of candidates of applying for the college entrance examination. We firstly introduced the conception of GM (1,1,D) and GM (1,1,C), briefly explained the difference between them from the aspect of theory, and then put them into the application of predicting the situation of variance of candidates for college entrance examination. Finally, we analyzed the reasons for this change and countermeasures. Compared to the application of numbers of candidates for college entrance examination by using two grey prediction models, this paper gives an effective method of data analysis, and provides technical information for the relevant decision-making departments. This paper set a good example for the application of selecting the correct grey model to address specific problems.朗读 显示对应的拉丁字符的拼音 字典

scholarly journals An Improved Nonequidistant Grey Model Based on Simpson Formula and Its Application

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Zhiming Hu ◽  
Chong Liu
Keyword(s):  
Prediction Accuracy ◽  
Prediction Models ◽  
Prediction Performance ◽  
Grey System Theory ◽  
Grey Model ◽  
Grey Prediction ◽  
Grey System ◽  
Proposed Model ◽  
Grey Models ◽  
High Prediction

Grey prediction models have been widely used in various fields of society due to their high prediction accuracy; accordingly, there exists a vast majority of grey models for equidistant sequences; however, limited research is focusing on nonequidistant sequence. The development of nonequidistant grey prediction models is very slow due to their complex modeling mechanism. In order to further expand the grey system theory, a new nonequidistant grey prediction model is established in this paper. To further improve the prediction accuracy of the NEGM (1, 1, t2) model, the background values of the improved nonequidistant grey model are optimized based on Simpson formula, which is abbreviated as INEGM (1, 1, t2). Meanwhile, to verify the validity of the proposed model, this model is applied in two real-world cases in comparison with three other benchmark models, and the modeling results are evaluated through several commonly used indicators. The results of two cases show that the INEGM (1, 1, t2) model has the best prediction performance among these competitive models.

The 1962 Summer Institutes of The Commission on English: Their Achievement and Promise

PMLA ◽  
1963 ◽  
Vol 78 (4-Part2) ◽  
pp. 9-25
Author(s):  
John C. Gerber
Keyword(s):  
High School ◽  
Entrance Examination ◽  
Advanced Training ◽  
College Entrance Examination ◽  
College Entrance ◽  
High School English ◽  
The Difference ◽  
The Many ◽  
Examination Board

Of the many enterprises undertaken during the last few years to upgrade the teaching of English, the 1962 Summer Institute Program sponsored by the Commission on English of the College Entrance Examination Board has been the most dramatic and, in many ways, the most promising. Already it is clear that the effects of this program are being felt in many high-school classes, and that the formula devised by the Commission on English is being copied widely and successfully. The potential usefulness of such Institutes for the advanced training of high-school English teachers, therefore, has already been demonstrated. What makes these Institutes of especial significance to MLA members, however, is that the program required twenty of the most influential Departments of English in the country to involve themselves directly in this advanced training of high-school teachers. These were not institutes conducted by professors of Education with the casual blessing of Departments of English; these were institutes administered and largely taught by professors of English. The difference is a very great one indeed. Whether we like it or not, the CEEB Institutes have, in effect, forced those of us in Departments of English to acknowledge a substantial responsibility for improving the quality of English teaching in the high schools. Because of them—and of such subsequent activities as the Allerton Conference and the Curriculum Centers—a new appraisal of our proper professional functions has been quietly taking place on one campus after another. Even now it is no exaggeration to say, I believe, that a Department of English may no longer claim to be of the top rank unless it includes among its programs one or more designed to aid the high-school English teacher, both the tenderfoot and the old-timer.

Combination of importance-performance analysis and response surface methodology for enhancing satisfaction

2016 ◽  
Vol 33 (6) ◽  
pp. 792-802 ◽  
Author(s):  
Ro Jin Pak
Keyword(s):  
Response Surface Methodology ◽  
Performance Analysis ◽  
Response Surface ◽  
Online Courses ◽  
Current Status ◽  
Entrance Examination ◽  
College Entrance Examination ◽  
College Entrance ◽  
Statistical Tool ◽  
Content Type

Purpose – In order to know how to enhance the satisfaction of online courses in preparing for the college entrance examination in Korea, the purpose of this paper is to combine both the importance-performance analysis (IPA) and the response surface methodology (RSM). Design/methodology/approach – IPA is a simple but powerful tool for understanding the current status of factors or attributes in management problems. However, it lacks to provide the proper indication of what to do next on those factors or attributes to optimize a goal. RSM is a statistical tool helping us to set up a direction of factors or attributes in optimizing an output. The author attempts to combine both IPA and RSM in order to discover the next step after IPA for optimizing the goal. As an example, the author considers how to enhance the satisfaction of online courses in preparing for the college entrance examination in Korea. Findings – The combination of IPA and RSM enables us to find a way to attain a goal, for example, satisfying customers in a concrete and creative way. Research limitations/implications – Sample size is enough for research purpose but is a bit small for general purpose. Practical implications – This research tries to answer what to do next after IPA. Social implications – This research provides a predictive guide to satisfy customers. Originality/value – As far as the author knows, combining both IPA and RSM has not been made so far. It is a fusion of managerial and engineering techniques.

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