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- W2075314970 abstract "Abstract In many situations, a statistical method must be applied repeatedly, e.g., during a series of iterations. Procedures based on ranks and order statistics are often attractive but, if used in a repetitive context, may require sorting each of a sequence of data sets. In many cases, the sort performed on a given member of such sequences can be used to induce partial sorting in the next member. This can in turn lead to sharply lower computing costs: While sorting random input requires O(n log n) time, some types of nonrandom input can be sorted in just O(n) time. Two sorting algorithms designed for partly sorted input are presented, and their performance compared with that of some widely used sorting methods. The advantages of capitalizing on partly sorted input are demonstrated in a simulation study of an iterative algorithm for computing Jaeckel's robust estimator in simple regression." @default.
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- W2075314970 date "1989-11-01" @default.
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- W2075314970 title "Efficient sorting during repetitive statistical computations: algorithms and an application" @default.
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