摘要
在机能实验学的实验过程中斜交因子是普遍现象,即相互影响的各种因素可能彼此相关,各种影响因素之间存在着错综复杂的联系,对于这类问题正交因子解已不能解决机能实验中的实际问题,这是需要引入斜交因子解,即用相关因子对变量进行现行描述,使得到的新因子模型最大的程度的模拟自然状态。
In function experiment experiment , bias factor is a common phenomenon. That is, a variety of factors related to each other may influence each other , various factors which are linked are complex. For the orthogonal factor solution of these problems can not solve practical problems in the functional experiments, it is necessary to introduce a bias factor solution, which can describe he variables by related factors currently , so that new factors have the greatest degree of simulation of the natural model.
出处
《数理医药学杂志》
2011年第4期473-475,共3页
Journal of Mathematical Medicine