Sports analytics and data science: winning the game with methods and models
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Old Tappan, New Jersey
Pearson Education, Inc.
November 2015
|
| Edition: | First printing |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis Klappentext |
| Physical Description: | xiii, 337 Seiten Diagramme |
| ISBN: | 9780133886436 0133886433 |
Staff View
MARC
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| 245 | 1 | 0 | |a Sports analytics and data science |b winning the game with methods and models |c Thomas W. Miller |
| 250 | |a First printing | ||
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Record in the Search Index
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|---|---|
| adam_text | Contents
Preface 4
V
Figures ix
Tables xi
Exhibits xiii
1 Understanding Sports Markets 1
2 Assessing Players 23
3 Ranking Teams 37
4 Predicting Scores 49
5 Making Game-Day Decisions 61
6 Crafting a Message 69
7 Promoting Brands and Products 101
8 Growing Revenues 119
111
9 Managing Finances
133
IV
Sports Analytics and Data Science
10 Playing What-if Games 147
11 Working with Sports Data 169
12 Competing on Analytics 193
A Data Science Methods 197
A.l Mathematical Programming 200
A.2 Classical and Bayesian Statistics 203
A.3 Regression and Classification 206
A.4 Data Mining and Machine Learning 215
A.5 Text and Sentiment Analysis 217
A.6 Time Series, Sales Forecasting, and Market Response Models 226
A.7 Social Network Analysis 230
A.8 Data Visualization 234
A.9 Data Science: The Eclectic Discipline 240
B Professional Leagues and Teams 255
Data Science Glossary 261
Baseball Glossary 279
Bibliography 299
Index
329
I
$79.99 U.S. / $99.99 Canada
This exceptionally complete and practical guide
to sports data science and modeling teaches
through realistic examples from sports industry
economics, marketing, management, performance
measurement, and competitive analysis.
Thomas W. Miller, faculty director of
Northwestern University’s pioneering Predictive
Analytics program, shows how to use advanced
measures of individual and team performance to
judge the competitive position of both individual
athletes and teams, and to make more accurate
predictions about their future performance.
Miller’s modeling techniques draw on methods
from economics, accounting, finance, classical and
Bayesian statistics, machine learning, simulation,
and mathematical programming. Miller illustrates
them through realistic case studies, with fully
worked examples in both R and Python.
Spoils Analytics and Data Science will be an
invaluable resource for everyone who wants to
seriously investigate and more accurately predict
player, team, and sports business performance,
including students, teachers, sports analysts,
sports fans, trainers, coaches, and team and sports
business managers. It will also be valuable to
all students of analvtics and data science who
want to build their skills through familiar and
accessible sports applications
Gain powerful, actionable insights for:
• Understanding sports markets
• Assessing players
• Ranking teams
• Predicting scores
• Making game day decisions
• Crafting marketing messages
• Promoting brands and products
• Growing revenues
• Managing finances
• Playing what-if games
• And much more
|
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| building | Verbundindex |
| bvnumber | BV043543842 |
| classification_rvk | ZX 6930 ZX 7030 |
| ctrlnum | (OCoLC)948225924 (DE-599)BVBBV043543842 |
| dewey-full | 796.021 |
| dewey-hundreds | 700 - The arts |
| dewey-ones | 796 - Athletic and outdoor sports and games |
| dewey-raw | 796.021 |
| dewey-search | 796.021 |
| dewey-sort | 3796.021 |
| dewey-tens | 790 - Recreational and performing arts |
| discipline | Sport |
| edition | First printing |
| format | Book |
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| id | DE-604.BV043543842 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:28:26Z |
| institution | BVB |
| isbn | 9780133886436 0133886433 |
| language | English |
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| owner_facet | DE-83 DE-739 DE-703 |
| physical | xiii, 337 Seiten Diagramme |
| publishDate | 2015 |
| publishDateSearch | 2015 |
| publishDateSort | 2015 |
| publisher | Pearson Education, Inc. |
| record_format | marc |
| spelling | Miller, Thomas W. 1955- Verfasser (DE-588)13145658X aut Sports analytics and data science winning the game with methods and models Thomas W. Miller First printing Old Tappan, New Jersey Pearson Education, Inc. November 2015 xiii, 337 Seiten Diagramme txt rdacontent n rdamedia nc rdacarrier Sport (DE-588)4056366-2 gnd rswk-swf Statistische Analyse (DE-588)4116599-8 gnd rswk-swf Sport (DE-588)4056366-2 s Statistische Analyse (DE-588)4116599-8 s DE-604 Digitalisierung UB Bayreuth - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028959261&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Bayreuth - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028959261&sequence=000002&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Miller, Thomas W. 1955- Sports analytics and data science winning the game with methods and models Sport (DE-588)4056366-2 gnd Statistische Analyse (DE-588)4116599-8 gnd |
| subject_GND | (DE-588)4056366-2 (DE-588)4116599-8 |
| title | Sports analytics and data science winning the game with methods and models |
| title_auth | Sports analytics and data science winning the game with methods and models |
| title_exact_search | Sports analytics and data science winning the game with methods and models |
| title_full | Sports analytics and data science winning the game with methods and models Thomas W. Miller |
| title_fullStr | Sports analytics and data science winning the game with methods and models Thomas W. Miller |
| title_full_unstemmed | Sports analytics and data science winning the game with methods and models Thomas W. Miller |
| title_short | Sports analytics and data science |
| title_sort | sports analytics and data science winning the game with methods and models |
| title_sub | winning the game with methods and models |
| topic | Sport (DE-588)4056366-2 gnd Statistische Analyse (DE-588)4116599-8 gnd |
| topic_facet | Sport Statistische Analyse |
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