LEADER 04270nam 2200709Ia 450 001 9910817783603321 005 20210519212458.0 010 $a1-4008-4167-4 010 $a1-283-41176-8 010 $a9786613411761 024 7 $a10.1515/9781400841677 035 $a(CKB)2550000001252182 035 $a(EBL)833044 035 $a(OCoLC)771876148 035 $a(SSID)ssj0000576223 035 $a(PQKBManifestationID)11408637 035 $a(PQKBTitleCode)TC0000576223 035 $a(PQKBWorkID)10554106 035 $a(PQKB)11054934 035 $a(OCoLC)812416886 035 $a(MdBmJHUP)muse43235 035 $a(DE-B1597)453797 035 $a(OCoLC)979780169 035 $a(DE-B1597)9781400841677 035 $a(Au-PeEL)EBL833044 035 $a(CaPaEBR)ebr10524385 035 $a(CaONFJC)MIL341176 035 $a(PPN)169469603 035 $a(FR-PaCSA)88807823 035 $a(MiAaPQ)EBC833044 035 $a(EXLCZ)992550000001252182 100 $a20120112d2012 uy 0 101 0 $aeng 135 $aurun#---|u||u 181 $ctxt 182 $cc 183 $acr 200 10$aWho's #1? $ethe science of rating and ranking /$fAmy N. Langville and Carl D. Meyer 205 $aCourse Book 210 $aPrinceton $cPrinceton University Press$d2012 215 $a1 online resource (266 p.) 300 $aDescription based upon print version of record. 311 $a0-691-15422-8 311 $a0-691-16231-X 320 $aIncludes bibliographical references and index. 327 $tFront matter --$tContents --$tPreface --$tChapter 1. Introduction to Ranking --$tChapter 2. Massey's Method --$tChapter 3. Colley's Method --$tChapter 4. Keener's Method --$tChapter 5. Elo's System --$tChapter 6. The Markov Method --$tChapter 7. The Offense-Defense Rating Method --$tChapter 8. Ranking by Reordering Methods --$tChapter 9. Point Spreads --$tChapter 10. User Preference Ratings --$tChapter 11. Handling Ties --$tChapter 12. Incorporating Weights --$tChapter 13. "What If . . ." Scenarios and Sensitivity --$tChapter 14. Rank Aggregation-Part 1 --$tChapter 15. Rank Aggregation-Part 2 --$tChapter 16. Methods of Comparison --$tChapter 17. Data --$tChapter 18. Epilogue --$tGlossary --$tBibliography --$tIndex 330 $aA website's ranking on Google can spell the difference between success and failure for a new business. NCAA football ratings determine which schools get to play for the big money in postseason bowl games. Product ratings influence everything from the clothes we wear to the movies we select on Netflix. Ratings and rankings are everywhere, but how exactly do they work? Who's #1? offers an engaging and accessible account of how scientific rating and ranking methods are created and applied to a variety of uses. Amy Langville and Carl Meyer provide the first comprehensive overview of the mathematical algorithms and methods used to rate and rank sports teams, political candidates, products, Web pages, and more. In a series of interesting asides, Langville and Meyer provide fascinating insights into the ingenious contributions of many of the field's pioneers. They survey and compare the different methods employed today, showing why their strengths and weaknesses depend on the underlying goal, and explaining why and when a given method should be considered. Langville and Meyer also describe what can and can't be expected from the most widely used systems. The science of rating and ranking touches virtually every facet of our lives, and now you don't need to be an expert to understand how it really works. Who's #1? is the definitive introduction to the subject. It features easy-to-understand examples and interesting trivia and historical facts, and much of the required mathematics is included. 517 3 $aWho's number one? 606 $aRanking and selection (Statistics) 606 $aMathematical statistics 615 0$aRanking and selection (Statistics) 615 0$aMathematical statistics. 676 $a519.5 700 $aLangville$b Amy N$0600770 701 $aMeyer$b Carl D$0104578 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910817783603321 996 $aWho's #1$94018483 997 $aUNINA