Who's #1? :: the science of rating and ranking /
"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 team...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Princeton [N.J.] :
Princeton University Press,
©2012.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "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. Also describe what can and can't be expected from the most widely used systems"-- |
| Beschreibung: | 1 online resource (xvi, 247 pages) : illustrations |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9786613411761 6613411760 9781400841677 1400841674 1283411768 9781283411769 |
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| 100 | 1 | |a Langville, Amy N., |e author. |0 http://id.loc.gov/authorities/names/no2006077516 | |
| 245 | 1 | 0 | |a Who's #1? : |b the science of rating and ranking / |c Amy N. Langville and Carl D. Meyer. |
| 246 | 3 | |a Who's number one | |
| 260 | |a Princeton [N.J.] : |b Princeton University Press, |c ©2012. | ||
| 300 | |a 1 online resource (xvi, 247 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | 0 | |t Introduction to ranking -- |t Massey's method -- |t Colley's method -- |t Keener's method -- |t Elo's system -- |t The Markov method -- |t The offense-defense rating method -- |t Ranking by reordering methods -- |t Point spreads -- |t User preference ratings -- |t Handling ties -- |t Incorporating weights -- |t "What if -- " scenarios and sensitivity -- |t Rank aggregation : part 1 -- |t Rank aggregation : part 2 -- |t Methods of comparison -- |t Data -- |g Epilogue. |
| 520 | |a "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. Also describe what can and can't be expected from the most widely used systems"-- |c Provided by publisher. | ||
| 588 | 0 | |a Print version record. | |
| 546 | |a English. | ||
| 650 | 0 | |a Ranking and selection (Statistics) |0 http://id.loc.gov/authorities/subjects/sh85111380 | |
| 650 | 4 | |a Ranking and selection (Statistics) | |
| 650 | 6 | |a Rang et sélection (Statistique) | |
| 650 | 7 | |a MATHEMATICS |x Probability & Statistics |x General. |2 bisacsh | |
| 650 | 7 | |a MATHEMATICS |x Counting & Numeration. |2 bisacsh | |
| 650 | 7 | |a Mathematics. |2 eflch | |
| 650 | 7 | |a Ranking and selection (Statistics) |2 fast | |
| 650 | 7 | |a Rangstatistik |2 gnd |0 http://d-nb.info/gnd/4176945-4 | |
| 650 | 7 | |a Rating |2 gnd |0 http://d-nb.info/gnd/4255219-9 | |
| 650 | 7 | |a Ranking |2 gnd |0 http://d-nb.info/gnd/4307945-3 | |
| 650 | 7 | |a Rating. |2 gnd |0 (DE-601)104469358 | |
| 650 | 7 | |a Ranking. |2 gnd |0 (DE-601)123520711 | |
| 650 | 7 | |a Statistik. |2 gnd |0 (DE-601)106152955 | |
| 650 | 7 | |a Methodologie. |2 gnd |0 (DE-601)105633291 | |
| 655 | 7 | |a dissertations. |2 aat | |
| 655 | 7 | |a Academic theses |2 fast | |
| 655 | 7 | |a Academic theses. |2 lcgft |0 http://id.loc.gov/authorities/genreForms/gf2014026039 | |
| 655 | 7 | |a Thèses et écrits académiques. |2 rvmgf | |
| 700 | 1 | |a Meyer, C. D. |q (Carl Dean), |e author. |1 https://id.oclc.org/worldcat/entity/E39PCjFkv86tpX6hHQ8BYGFWj3 |0 http://id.loc.gov/authorities/names/n79068018 | |
| 758 | |i has work: |a Who's #1? (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGx33KtM7GqyR4jHCDTQWP |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Langville, Amy N. |t Who's #1? |d Princeton [N.J.] : Princeton University Press, ©2012 |z 9780691154220 |w (DLC) 2011036016 |w (OCoLC)823013952 |
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| 880 | 0 | |6 505-00/(S |a Cover -- Contents -- Preface -- Purpose -- Audience -- Prerequisites -- Teaching from This Book -- Acknowledgments -- Chapter 1. Introduction to Ranking -- Social Choice and Arrow's Impossibility Theorem -- Arrow's Impossibility Theorem -- Small Running Example -- Chapter 2. Massey's Method -- Initial Massey Rating Method -- Massey's Main Idea -- The Running Example Using the Massey Rating Method -- Advanced Features of the Massey Rating Method -- The Running Example: Advanced Massey Rating Method -- Summary of the Massey Rating Method -- Chapter 3. Colley's Method -- The Running Example -- Summary of the Colley Rating Method -- Connection between Massey and Colley Methods -- Chapter 4. Keener's Method -- Strength and Rating Stipulations -- Selecting Strength Attributes -- Laplace's Rule of Succession -- To Skew or Not to Skew-- Normalization -- Chicken or Egg-- Ratings -- Strength -- The Keystone Equation -- Constraints -- Perron-Frobenius -- Important Properties -- Computing the Ratings Vector -- Forcing Irreducibility and Primitivity -- Summary -- The 2009-2010 NFL Season -- Jim Keener vs. Bill James -- Back to the Future -- Can Keener Make You Rich-- Conclusion -- Chapter 5. Elo's System -- Elegant Wisdom -- The K-Factor -- The Logistic Parameter ξ -- Constant Sums -- Elo in the NFL -- Hindsight Accuracy -- Foresight Accuracy -- Incorporating Game Scores -- Hindsight and Foresight with Ŧ = 1000, K = 32, H = 15 -- Using Variable K-Factors with NFL Scores -- Hindsight and Foresight Using Scores and Variable K-Factors -- Game-by-Game Analysis -- Conclusion -- Chapter 6. The Markov Method -- The Markov Method -- Voting with Losses -- Losers Vote with Point Differentials -- Winners and Losers Vote with Points -- Beyond Game Scores -- Handling Undefeated Teams -- Summary of the Markov Rating Method. | |
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Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-4-EBA-ocn771876148 |
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| _version_ | 1816881781772648448 |
| adam_text | |
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| author | Langville, Amy N. Meyer, C. D. (Carl Dean) |
| author_GND | http://id.loc.gov/authorities/names/no2006077516 http://id.loc.gov/authorities/names/n79068018 |
| author_facet | Langville, Amy N. Meyer, C. D. (Carl Dean) |
| author_role | aut aut |
| author_sort | Langville, Amy N. |
| author_variant | a n l an anl c d m cd cdm |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | Q - Science |
| callnumber-label | QA278 |
| callnumber-raw | QA278.75 .L36 2012eb |
| callnumber-search | QA278.75 .L36 2012eb |
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| callnumber-subject | QA - Mathematics |
| collection | ZDB-4-EBA |
| contents | Introduction to ranking -- Massey's method -- Colley's method -- Keener's method -- Elo's system -- The Markov method -- The offense-defense rating method -- Ranking by reordering methods -- Point spreads -- User preference ratings -- Handling ties -- Incorporating weights -- "What if -- " scenarios and sensitivity -- Rank aggregation : part 1 -- Rank aggregation : part 2 -- Methods of comparison -- Data -- |
| ctrlnum | (OCoLC)771876148 |
| dewey-full | 519.5 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5 |
| dewey-search | 519.5 |
| dewey-sort | 3519.5 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| format | Electronic eBook |
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Introduction to Ranking -- Social Choice and Arrow's Impossibility Theorem -- Arrow's Impossibility Theorem -- Small Running Example -- Chapter 2. Massey's Method -- Initial Massey Rating Method -- Massey's Main Idea -- The Running Example Using the Massey Rating Method -- Advanced Features of the Massey Rating Method -- The Running Example: Advanced Massey Rating Method -- Summary of the Massey Rating Method -- Chapter 3. Colley's Method -- The Running Example -- Summary of the Colley Rating Method -- Connection between Massey and Colley Methods -- Chapter 4. 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| genre_facet | dissertations. Academic theses Academic theses. Thèses et écrits académiques. |
| id | ZDB-4-EBA-ocn771876148 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:18:11Z |
| institution | BVB |
| isbn | 9786613411761 6613411760 9781400841677 1400841674 1283411768 9781283411769 |
| language | English |
| lccn | 2011036016 |
| oclc_num | 771876148 |
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| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (xvi, 247 pages) : illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 2012 |
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| publisher | Princeton University Press, |
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| spelling | Langville, Amy N., author. http://id.loc.gov/authorities/names/no2006077516 Who's #1? : the science of rating and ranking / Amy N. Langville and Carl D. Meyer. Who's number one Princeton [N.J.] : Princeton University Press, ©2012. 1 online resource (xvi, 247 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. Introduction to ranking -- Massey's method -- Colley's method -- Keener's method -- Elo's system -- The Markov method -- The offense-defense rating method -- Ranking by reordering methods -- Point spreads -- User preference ratings -- Handling ties -- Incorporating weights -- "What if -- " scenarios and sensitivity -- Rank aggregation : part 1 -- Rank aggregation : part 2 -- Methods of comparison -- Data -- Epilogue. "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. Also describe what can and can't be expected from the most widely used systems"-- Provided by publisher. Print version record. English. Ranking and selection (Statistics) http://id.loc.gov/authorities/subjects/sh85111380 Ranking and selection (Statistics) Rang et sélection (Statistique) MATHEMATICS Probability & Statistics General. bisacsh MATHEMATICS Counting & Numeration. bisacsh Mathematics. eflch Ranking and selection (Statistics) fast Rangstatistik gnd http://d-nb.info/gnd/4176945-4 Rating gnd http://d-nb.info/gnd/4255219-9 Ranking gnd http://d-nb.info/gnd/4307945-3 Rating. gnd (DE-601)104469358 Ranking. gnd (DE-601)123520711 Statistik. gnd (DE-601)106152955 Methodologie. gnd (DE-601)105633291 dissertations. aat Academic theses fast Academic theses. lcgft http://id.loc.gov/authorities/genreForms/gf2014026039 Thèses et écrits académiques. rvmgf Meyer, C. D. (Carl Dean), author. https://id.oclc.org/worldcat/entity/E39PCjFkv86tpX6hHQ8BYGFWj3 http://id.loc.gov/authorities/names/n79068018 has work: Who's #1? (Text) https://id.oclc.org/worldcat/entity/E39PCGx33KtM7GqyR4jHCDTQWP https://id.oclc.org/worldcat/ontology/hasWork Print version: Langville, Amy N. Who's #1? Princeton [N.J.] : Princeton University Press, ©2012 9780691154220 (DLC) 2011036016 (OCoLC)823013952 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=421845 Volltext 505-00/(S Cover -- Contents -- Preface -- Purpose -- Audience -- Prerequisites -- Teaching from This Book -- Acknowledgments -- Chapter 1. Introduction to Ranking -- Social Choice and Arrow's Impossibility Theorem -- Arrow's Impossibility Theorem -- Small Running Example -- Chapter 2. Massey's Method -- Initial Massey Rating Method -- Massey's Main Idea -- The Running Example Using the Massey Rating Method -- Advanced Features of the Massey Rating Method -- The Running Example: Advanced Massey Rating Method -- Summary of the Massey Rating Method -- Chapter 3. Colley's Method -- The Running Example -- Summary of the Colley Rating Method -- Connection between Massey and Colley Methods -- Chapter 4. Keener's Method -- Strength and Rating Stipulations -- Selecting Strength Attributes -- Laplace's Rule of Succession -- To Skew or Not to Skew-- Normalization -- Chicken or Egg-- Ratings -- Strength -- The Keystone Equation -- Constraints -- Perron-Frobenius -- Important Properties -- Computing the Ratings Vector -- Forcing Irreducibility and Primitivity -- Summary -- The 2009-2010 NFL Season -- Jim Keener vs. Bill James -- Back to the Future -- Can Keener Make You Rich-- Conclusion -- Chapter 5. Elo's System -- Elegant Wisdom -- The K-Factor -- The Logistic Parameter ξ -- Constant Sums -- Elo in the NFL -- Hindsight Accuracy -- Foresight Accuracy -- Incorporating Game Scores -- Hindsight and Foresight with Ŧ = 1000, K = 32, H = 15 -- Using Variable K-Factors with NFL Scores -- Hindsight and Foresight Using Scores and Variable K-Factors -- Game-by-Game Analysis -- Conclusion -- Chapter 6. The Markov Method -- The Markov Method -- Voting with Losses -- Losers Vote with Point Differentials -- Winners and Losers Vote with Points -- Beyond Game Scores -- Handling Undefeated Teams -- Summary of the Markov Rating Method. |
| spellingShingle | Langville, Amy N. Meyer, C. D. (Carl Dean) Who's #1? : the science of rating and ranking / Introduction to ranking -- Massey's method -- Colley's method -- Keener's method -- Elo's system -- The Markov method -- The offense-defense rating method -- Ranking by reordering methods -- Point spreads -- User preference ratings -- Handling ties -- Incorporating weights -- "What if -- " scenarios and sensitivity -- Rank aggregation : part 1 -- Rank aggregation : part 2 -- Methods of comparison -- Data -- Ranking and selection (Statistics) http://id.loc.gov/authorities/subjects/sh85111380 Ranking and selection (Statistics) Rang et sélection (Statistique) MATHEMATICS Probability & Statistics General. bisacsh MATHEMATICS Counting & Numeration. bisacsh Mathematics. eflch Ranking and selection (Statistics) fast Rangstatistik gnd http://d-nb.info/gnd/4176945-4 Rating gnd http://d-nb.info/gnd/4255219-9 Ranking gnd http://d-nb.info/gnd/4307945-3 Rating. gnd (DE-601)104469358 Ranking. gnd (DE-601)123520711 Statistik. gnd (DE-601)106152955 Methodologie. gnd (DE-601)105633291 |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85111380 http://d-nb.info/gnd/4176945-4 http://d-nb.info/gnd/4255219-9 http://d-nb.info/gnd/4307945-3 (DE-601)104469358 (DE-601)123520711 (DE-601)106152955 (DE-601)105633291 http://id.loc.gov/authorities/genreForms/gf2014026039 |
| title | Who's #1? : the science of rating and ranking / |
| title_alt | Who's number one Introduction to ranking -- Massey's method -- Colley's method -- Keener's method -- Elo's system -- The Markov method -- The offense-defense rating method -- Ranking by reordering methods -- Point spreads -- User preference ratings -- Handling ties -- Incorporating weights -- "What if -- " scenarios and sensitivity -- Rank aggregation : part 1 -- Rank aggregation : part 2 -- Methods of comparison -- Data -- |
| title_auth | Who's #1? : the science of rating and ranking / |
| title_exact_search | Who's #1? : the science of rating and ranking / |
| title_full | Who's #1? : the science of rating and ranking / Amy N. Langville and Carl D. Meyer. |
| title_fullStr | Who's #1? : the science of rating and ranking / Amy N. Langville and Carl D. Meyer. |
| title_full_unstemmed | Who's #1? : the science of rating and ranking / Amy N. Langville and Carl D. Meyer. |
| title_short | Who's #1? : |
| title_sort | who s 1 the science of rating and ranking |
| title_sub | the science of rating and ranking / |
| topic | Ranking and selection (Statistics) http://id.loc.gov/authorities/subjects/sh85111380 Ranking and selection (Statistics) Rang et sélection (Statistique) MATHEMATICS Probability & Statistics General. bisacsh MATHEMATICS Counting & Numeration. bisacsh Mathematics. eflch Ranking and selection (Statistics) fast Rangstatistik gnd http://d-nb.info/gnd/4176945-4 Rating gnd http://d-nb.info/gnd/4255219-9 Ranking gnd http://d-nb.info/gnd/4307945-3 Rating. gnd (DE-601)104469358 Ranking. gnd (DE-601)123520711 Statistik. gnd (DE-601)106152955 Methodologie. gnd (DE-601)105633291 |
| topic_facet | Ranking and selection (Statistics) Rang et sélection (Statistique) MATHEMATICS Probability & Statistics General. MATHEMATICS Counting & Numeration. Mathematics. Rangstatistik Rating Ranking Rating. Ranking. Statistik. Methodologie. dissertations. Academic theses Academic theses. Thèses et écrits académiques. |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=421845 |
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