The Min-Max Algorithm and Isotonic Regression

@inproceedings{Lee1983TheMA,
  title={The Min-Max Algorithm and Isotonic Regression},
  author={Chu-in Charles Lee},
  year={1983}
}
There is growing interest in statistical inference under order restrictions. A major demand in this subject is to have a fast, direct method to solve the least squares problem of partially ordered isotonic regression. The Min-Max algorithm is such a method in which the user searches for the global minimum and the local maximum successively. A comparison of algorithms for partially ordered isotonic regression is included. As an application, using this efficient algorithm, it is feasible to… CONTINUE READING

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