题名

面紙強度的研究

并列篇名

The Strength Study of Facial Tissue

作者

凌嘉華(Chiahua Ling)

关键词

假設檢定 ； P值 ； 變異數分析 ； 實驗設計 ； 單向或完全隨機設計 ； Hypothesis Test ； P Value ； Analysis of Variance (ANOVA) ； Experimental Design ； One-way or Completely Randomized Design

期刊名称

台北海洋技術學院學報

卷期/出版年月

8卷1期（2016 / 11 / 01）

页次

45 - 55

内容语文

繁體中文
中文摘要

本文研究是關於顧客抱怨面紙產品強度的問題，我們用兩種方法測量面紙強度(機器定向強度，交叉定向強度)並進行統計檢定和報告P值。為了了解面紙強度這個問題我們設計虛無和對立假說檢定以及應用實驗設計，蒐集並分析資料，本研究即摘要其實驗及結果(一個面紙製造商為個案公司所收集的所有資料，即三個時期(天)的各75個觀察值)。
英文摘要

This paper addresses the customer complaints that have been received regarding the strength of the tissue. There are two measures of tissue strength: machine-directional strength (MD Strength) measured in lb/ream and cross-directional strength (CD Strength) also measured in lb/ream, and we will conduct these tests and report the P value of each of the tests. To understand this tissue strength problem, we designed the null and alternative hypothesis testing and applied experimental design, collected the data, and analyzed the data. This paper will summarize the experiment and the results ( in the complete data set of a company there are 75 observations per day ).
主题分类 人文學 > 人文學綜合
工程學 > 工程學綜合
社會科學 > 社會科學綜合
参考文献
  1. (1985).SAS User's Guide: Statistics.Cary, North Carolina.:Sas Institute Inc..
  2. (1985).SAS User's Guide: Basics.Cary, North Carolina.:Sas Institute Inc..
  3. Allen, D. M.(1971).Mean Square Error of Prediction as a Criterion for Selecting Variables.Technometrics,13,469-475.
  4. Box, G. E. P.,Cox, D. R.(1964).An Analysis of Transformations.Journal of the Royal Statistical Society, B,26,211-233.
  5. Draper, N. R.,Smith, H.(1998).Applied Regression Analysis.New York:John Wiley & Sons, Inc..
  6. Faraway, J. J.(1992).On the Cost of Data Analysis.Journal of Computational and Graphical Statistics,1,213-229.
  7. Fisher, Ronald A.(1954).Statistical Methods for Research Workers.Edinburgh:Oliver and Boyd.
  8. Hocking, R. R.(1973).A Discussion of the Two-Way Mixed Model.The American Statistician,27,148-152.
  9. Kleinbaum, D.G.,Kupper, L. L.,Muller, K. E.,Nizam, A.(1998).Applied Regression Analysis and Multivariable Methods.Pacific Grove, CA.:Duxbury Press.
  10. Montgomery, D. C.(1991).Design and Analysis of Experiments.New York:John Wiley & Sons, Inc..
  11. Neter, J.,Wasserman, W.,Kutner, M. H.(1996).Applied Linear Statistical Model.Homewood, Illinois:Richard D. Irwin, Inc..
  12. Pelosi, M. K.,Sandifer, T. M.(2002).Airapace Data Set, Doing Statistics For Business: Data, Inference, and Decision Making.New York:John Wiley & Sons, Inc..
  13. Plackett, R. L.,Burman, J. P.(1946).The Design of Optimum Multifactorial Experiments.Biometrika,33,305-325.
  14. Snee, R. D.(1985).Computer-Aided Design of Experiments-Some Practical Experiences.Journal of Quality Technology,17,222-236.
print cancel