Advantages and disadvantages of moving average and least square method of fitting trend
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Non-linear least squares provides an alternative to maximum likelihood.
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The disadvantages of this method are:
It is not readily applicable to censored data.
It is generally considered to have less desirable optimality properties than maximum likelihood.
It can be quite sensitive to the choice of starting values.
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