Using Goodness-of-fit Techniques to Select Virtual Samples to Improve Small Data of Cost Prediction

論文翻譯標題: 利用適合度技術挑選虛擬樣本以提升小樣本成本預測
  • 廖 洧琳

學生論文: Master's Thesis

摘要

After the transition of consumer demand in the market in order to create the technology and develop the finance corporations adopt industrial transformation strategy to make an alteration of the corporation structure and scale and improve the competition and satisfy customer needs Under stress of time and cost the cost prediction in the product development process is often being conducted without acquiring sufficient sample data The method of constructing prediction model to perform cost prediction analysis from limited data in the competitive and qualitative environment has become an important goal for corporation management For the issue of insufficient sample data in the practice and application the matter of how to develop the meaningful information from few samples is the research topic of small data set learning Many studies noted that in order to address the predict issues of production system and break through the learning efficiency when data is inadequate small data research increase the sample amount by virtual sample generation method to increase the sample data through small data sets and enhance the accuracy of prediction learning The study adopted methods of two parameters Weibull distribution and Maximal P-value approach to generate virtual sample to increase data The confounding factors were filtered and screened by Kolmogorov–Smirnov test and imported the training sample data into the prediction learning instruction to compare the accuracy of prediction in different methods The study adopted small data sets of automotive printed circuit board in Taiwan as experiment case The result indicated the method conducted in the study had a significant improvement on the prediction error than one in original data and it received better effect of prediction comparing to maximum p-value
獎項日期2015 十一月 9
原文English
監督員Der-Chiang Li (Supervisor)

引用此

Using Goodness-of-fit Techniques to Select Virtual Samples to Improve Small Data of Cost Prediction
洧琳, 廖. (Author). 2015 十一月 9

學生論文: Master's Thesis