借人气请教个学术问题# Biology - 生物学
q*n
1 楼
本人不是统计专业，用multiple linear regression分析了一些观测结果。改文章时，
遇到一个问题。
1.有一个数据，随时间变化的曲线不好，无法用线性或者其它curve来fit。主要原因是
，数据的变化比较乱，得不到逐渐减小的趋势。我在文章中说no smooth decreasing
curve can be fitted using X.Reviewer认为这种说法太vague，请问要如何讲比较好。
2.我在introduciton里面的原话是“Regression models and neural networks are
deterministic while Markovian models are probabilistic. Deterministic
methods use models from which performance is predicted as a precise value by
mathematical deterioration functions, whereas probabilistic models utilize
a transition probability matrix to predict future performance."
有个reviewer提意见说This statement is not correct. Some advanced regression
models can deal with probabilistic analysis.
我对统计不是非常精通。请问这改怎么修改啊。是不是我的statement有问题？
非常感谢！
遇到一个问题。
1.有一个数据，随时间变化的曲线不好，无法用线性或者其它curve来fit。主要原因是
，数据的变化比较乱，得不到逐渐减小的趋势。我在文章中说no smooth decreasing
curve can be fitted using X.Reviewer认为这种说法太vague，请问要如何讲比较好。
2.我在introduciton里面的原话是“Regression models and neural networks are
deterministic while Markovian models are probabilistic. Deterministic
methods use models from which performance is predicted as a precise value by
mathematical deterioration functions, whereas probabilistic models utilize
a transition probability matrix to predict future performance."
有个reviewer提意见说This statement is not correct. Some advanced regression
models can deal with probabilistic analysis.
我对统计不是非常精通。请问这改怎么修改啊。是不是我的statement有问题？
非常感谢！