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The n points and the estimator are to be optimum in some sense and in this paper the main criterion for optimality involves uniformly minimizing certain convex loss functions. Three main sets of results are obtained, followed by some further results for normally distributed errors.<\/jats:p>","DOI":"10.1111\/j.2517-6161.1972.tb00897.x","type":"journal-article","created":{"date-parts":[[2018,12,7]],"date-time":"2018-12-07T05:22:29Z","timestamp":1544160149000},"page":"148-170","source":"Crossref","is-referenced-by-count":11,"title":["Convex Loss Applied to Design in Regression Problems"],"prefix":"10.1093","volume":"34","author":[{"given":"P. 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