For generalized linear and nonlinear models, it is still a conventional hypothesis that observed data should have nominal dispersion, otherwise statistical inference would be more difficult.
对于广义回归模型,人们也总是假设数据具有名义离差,否则,统计推断更加困难。
For generalized linear and nonlinear models, it is still a conventional hypothesis that observed data should have nominal dispersion, otherwise statistical inference would be more difficult.
对于广义回归模型,人们也总是假设数据具有名义离差,否则,统计推断更加困难。
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