分式析因设计
析因实验
集合(抽象数据类型)
计算机科学
完全随机设计
阶乘
选择集
Plackett–伯曼设计
钥匙(锁)
数学
统计
机器学习
程序设计语言
响应面法
操作系统
数学分析
作者
Liang Shang,Yanto Chandra
标识
DOI:10.1007/978-981-99-4562-7_7
摘要
The construction of experimental design is key to the successful implementation of DCE research. A full factorial design is the easiest design to create and use. It consists of all possible combinations of attribute levels, but it is often considered too costly and tedious for respondents. A recommended approach is to employ fractional factorial design in the DCE design, which uses a randomized but smaller combination of attribute levels. This chapter discusses techniques and steps to generate an orthogonal and balanced fractional factorial DCE design using R packages, such as package support.CEs.
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