Comparison of computer programs for simple linear L 1 regression
A number of efficient computer codes are available for the simple linear L 1 regression problem. However, a number of these codes can be made more efficient by utilizing the least squares solution. In fact, a couple of available computer programs already do so. We report the results of a computation...
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Veröffentlicht in: | Journal of statistical computation and simulation 1991-05, Vol.39 (1-2), p.63-68 |
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container_title | Journal of statistical computation and simulation |
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creator | Narula, Subhash C. Sposito, V.A. Gentle, James E. |
description | A number of efficient computer codes are available for the simple linear L
1
regression problem. However, a number of these codes can be made more efficient by utilizing the least squares solution. In fact, a couple of available computer programs already do so.
We report the results of a computational study comparing several openly available computer programs for solving the simple linear L
1
regression problem with and without computing and utilizing a least squares solution. |
doi_str_mv | 10.1080/00949659108811339 |
format | Article |
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1
regression problem. However, a number of these codes can be made more efficient by utilizing the least squares solution. In fact, a couple of available computer programs already do so.
We report the results of a computational study comparing several openly available computer programs for solving the simple linear L
1
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regression problem. However, a number of these codes can be made more efficient by utilizing the least squares solution. In fact, a couple of available computer programs already do so.
We report the results of a computational study comparing several openly available computer programs for solving the simple linear L
1
regression problem with and without computing and utilizing a least squares solution.</description><subject>algorithms</subject><subject>regression</subject><subject>simple linear model</subject><issn>0094-9655</issn><issn>1563-5163</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1991</creationdate><recordtype>article</recordtype><recordid>eNp1kM1KxDAUhYMoWEcfwF1eoJqbNGkLLpTiHxTc6LrcpskQaZtyMyLz9nYYd-LqcrjnO3AOY9cgbkBU4laIuqiNrldRAShVn7AMtFG5BqNOWXb456tBn7OLlD6FEABaZuy-idOCFFKcefTcrupr54gvFLeEU-I-Ek9hWkbHxzA7JN5y4OS25FIKcb5kZx7H5K5-74Z9PD2-Ny95-_b82jy0uYVC1flQSYlGgDTWCFTaDCVU2nsrdaGq3mqHxiprbC8VIIKAUhTl0KMreiNdqTYMjrmWYkrkfLdQmJD2HYjuMEH3Z4KVuTsyYV5rTPgdaRy6He7HSJ5wtiF16n_8B7UJYKc</recordid><startdate>19910501</startdate><enddate>19910501</enddate><creator>Narula, Subhash C.</creator><creator>Sposito, V.A.</creator><creator>Gentle, James E.</creator><general>Gordon and Breach Science Publishers</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>19910501</creationdate><title>Comparison of computer programs for simple linear L 1 regression</title><author>Narula, Subhash C. ; Sposito, V.A. ; Gentle, James E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1439-d822a60126c60a356d7185ffc25438bc5ea6c3c6cb231aa1017047dbae4b62e73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1991</creationdate><topic>algorithms</topic><topic>regression</topic><topic>simple linear model</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Narula, Subhash C.</creatorcontrib><creatorcontrib>Sposito, V.A.</creatorcontrib><creatorcontrib>Gentle, James E.</creatorcontrib><collection>CrossRef</collection><jtitle>Journal of statistical computation and simulation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Narula, Subhash C.</au><au>Sposito, V.A.</au><au>Gentle, James E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparison of computer programs for simple linear L 1 regression</atitle><jtitle>Journal of statistical computation and simulation</jtitle><date>1991-05-01</date><risdate>1991</risdate><volume>39</volume><issue>1-2</issue><spage>63</spage><epage>68</epage><pages>63-68</pages><issn>0094-9655</issn><eissn>1563-5163</eissn><abstract>A number of efficient computer codes are available for the simple linear L
1
regression problem. However, a number of these codes can be made more efficient by utilizing the least squares solution. In fact, a couple of available computer programs already do so.
We report the results of a computational study comparing several openly available computer programs for solving the simple linear L
1
regression problem with and without computing and utilizing a least squares solution.</abstract><pub>Gordon and Breach Science Publishers</pub><doi>10.1080/00949659108811339</doi><tpages>6</tpages></addata></record> |
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subjects | algorithms regression simple linear model |
title | Comparison of computer programs for simple linear L 1 regression |
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