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q********n
发帖数: 355 | 1 本人不是统计专业，用multiple linear regression分析了一些观测结果。
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？ | f***h
发帖数: 283 | 2 Reviewer是对的。
读一些关于 stochastic regression models 的东西后，也许就知道怎么改了。 | N******n
发帖数: 3003 | 3
by
utilize
regression
基本上是对的， 主要是regression很多时候和Markovian model 结合起来，就很难说
了。
【在 q********n 的大作中提到】
: 本人不是统计专业，用multiple linear regression分析了一些观测结果。
: 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？
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