BASKETBALL-ON-PAPER

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Basketball On Paper

Author : Dean Oliver
ISBN : 9781597973311
Genre : Sports & Recreation
File Size : 70.23 MB
Format : PDF, ePub
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Journey inside the numbers for an exceptional set of statistical tools and rules that can help explain the winning, or losing, ways of a basketball team. Basketball on Paper doesnat diagram plays or explain how players get in shape, but instead demonstrates how to interpret player and team performance. Dean Oliver highlights general strategies for teams when theyare winning or losing and what aspects should be the focus in either situation. He describes and quantifies the jobs of team leaders and role players, then discusses the interactions between players and how to achieve the best fit. Oliver conceptualizes the meaning of teamwork and how to quantify the value of different types of players working together. He examines historically successful NBA teams and identifies what made them so successful: individual talent, a system of putting players together, or good coaching. Oliver then uses these statistical tools and case studies to evaluate the best players in history, such as Magic Johnson, Wilt Chamberlain, Bill Russell, and Charles Barkley and how they contributed to their teamsa success. He does the same for some of the NBAas oddball players-Manute Bol, Muggsy Bogues, and Dennis Rodman and for the WNBAas top players. Basketball on Paper is unique in its incorporation of business and analytical concepts within the context of basketball to measure the value of players in a cooperative setting. Whether youare looking for strategies or new ideas to throw out while watching the ballgame at a sports bar, Dean Oliveras Basketball on Paper will give you amazing new insights into teamwork, coaching, and success."
Category: Sports & Recreation

Handbook Of Statistical Methods And Analyses In Sports

Author : Jim Albert
ISBN : 9781351678964
Genre : Mathematics
File Size : 61.36 MB
Format : PDF
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This handbook will provide both overviews of statistical methods in sports and in-depth treatment of critical problems and challenges confronting statistical research in sports. The material in the handbook will be organized by major sport (baseball, football, hockey, basketball, and soccer) followed by a section on other sports and general statistical design and analysis issues that are common to all sports. This handbook has the potential to become the standard reference for obtaining the necessary background to conduct serious statistical analyses for sports applications and to appreciate scholarly work in this expanding area.
Category: Mathematics

The Oxford Handbook Of Sports Economics

Author : Stephen Shmanske
ISBN : 9780199920914
Genre : Business & Economics
File Size : 43.81 MB
Format : PDF, Kindle
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Shmanske and Kahane have brought together nearly all of the important authors in the quickly growing field of Sports Economics to contribute chapters to this two-volume set. All of the authors are writing about subjects that they love and subjects that they have devoted years of study to. The result is truly informative in its content and path breaking in its importance to the field. Anyone contemplating research in the field of sports economics will find the works in these volumes to provide both ample background in subject after subject and numerous suggestions for future avenues of research. The editors have recognized two ways that economics and sports interact. First, economic analysis has helped everyone understand many of the peculiar institutions in sports. And second, quality data about individual productivity, salaries, career histories, teamwork, and managerial behavior has helped economists study topics as varied as the economics of discrimination, salary dispersion, and antitrust policy. These two themes of economics helping sports and sports helping economics provide the organizational structure to the two-volume set. The reader will find that sports economists employ or comment on practically every field in economics. Labor Economics comes into play in the areas of salary formation, salary dispersion, and discrimination. Baseball's history and the NCAA are studied with Industrial Organization and Antitrust. Public Finance and Contingent Value Modeling come into play in the study of stadium finance and franchise location. The Efficient Market Hypothesis is examined with data from gambling markets. Macroeconomic effects are studied with data from mega events like the Super Bowl, The World Cup, and the Olympics. The limits of Econometrics are pushed and illustrated with superb data in many of the papers herein. Topics in Applied microeconomics like demand estimation and price discrimination are also covered in several of the included papers. Game Theory, measurement of production functions, and measurement of managerial efficiency all come into play. Talented authors in each of these fields have made contributions to these volumes. The volumes are also rich from the point of view of the sports fan. Every major team sport is covered, and many interesting comparisons can be made especially between the North American League organization and the European-style promotion and relegation leagues. Golf, NASCAR, College athletics, Women's sports, the Olympics, and even bowling are represented in these pages. There is literally something for everyone.
Category: Business & Economics

Baseball Hacks

Author : Joseph Adler
ISBN : 9781491949429
Genre : Games
File Size : 31.51 MB
Format : PDF, Docs
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Baseball Hacks isn't your typical baseball book--it's a book about how to watch, research, and understand baseball. It's an instruction manual for the free baseball databases. It's a cookbook for baseball research. Every part of this book is designed to teach baseball fans how to do something. In short, it's a how-to book--one that will increase your enjoyment and knowledge of the game. So much of the way baseball is played today hinges upon interpreting statistical data. Players are acquired based on their performance in statistical categories that ownership deems most important. Managers make in-game decisions based not on instincts, but on probability - how a particular batter might fare against left-handedpitching, for instance. The goal of this unique book is to show fans all the baseball-related stuff that they can do for free (or close to free). Just as open source projects have made great software freely available, collaborative projects such as Retrosheet and Baseball DataBank have made great data freely available. You can use these data sources to research your favorite players, win your fantasy league, or appreciate the game of baseball even more than you do now. Baseball Hacks shows how easy it is to get data, process it, and use it to truly understand baseball. The book lists a number of sources for current and historical baseball data, and explains how to load it into a database for analysis. It then introduces several powerful statistical tools for understanding data and forecasting results. For the uninitiated baseball fan, author Joseph Adler walks readers through the core statistical categories for hitters (batting average, on-base percentage, etc.), pitchers (earned run average, strikeout-to-walk ratio, etc.), and fielders (putouts, errors, etc.). He then extrapolates upon these numbers to examine more advanced data groups like career averages, team stats, season-by-season comparisons, and more. Whether you're a mathematician, scientist, or season-ticket holder to your favorite team, Baseball Hacks is sure to have something for you. Advance praise for Baseball Hacks: "Baseball Hacks is the best book ever written for understanding and practicing baseball analytics. A must-read for baseball professionals and enthusiasts alike." -- Ari Kaplan, database consultant to the Montreal Expos, San Diego Padres, and Baltimore Orioles "The game was born in the 19th century, but the passion for its analysis continues to grow into the 21st. In Baseball Hacks, Joe Adler not only demonstrates thatthe latest data-mining technologies have useful application to the study of baseball statistics, he also teaches the reader how to do the analysis himself, arming the dedicated baseball fan with tools to take his understanding of the game to a higher level." -- Mark E. Johnson, Ph.D., Founder, SportMetrika, Inc. and Baseball Analyst for the 2004 St. Louis Cardinals
Category: Games

Modeling Techniques In Predictive Analytics

Author : Thomas W. Miller
ISBN : 9780133886191
Genre : Computers
File Size : 69.46 MB
Format : PDF, ePub, Docs
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To succeed with predictive analytics, you must understand it on three levels: Strategy and management Methods and models Technology and code This up-to-the-minute reference thoroughly covers all three categories. Now fully updated, this uniquely accessible book will help you use predictive analytics to solve real business problems and drive real competitive advantage. If you’re new to the discipline, it will give you the strong foundation you need to get accurate, actionable results. If you’re already a modeler, programmer, or manager, it will teach you crucial skills you don’t yet have. Unlike competitive books, this guide illuminates the discipline through realistic vignettes and intuitive data visualizations–not complex math. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, guides you through defining problems, identifying data, crafting and optimizing models, writing effective R code, interpreting results, and more. Every chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work–and maximize their value. Reflecting extensive student and instructor feedback, this edition adds five classroom-tested case studies, updates all code for new versions of R, explains code behavior more clearly and completely, and covers modern data science methods even more effectively. All data sets, extensive R code, and additional examples available for download at http://www.ftpress.com/miller If you want to make the most of predictive analytics, data science, and big data, this is the book for you. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, appealing to managers, analysts, programmers, and students alike. Miller addresses multiple business cases and challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic R programs that deliver actionable insights. You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Throughout, Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. This edition adds five new case studies, updates all code for the newest versions of R, adds more commenting to clarify how the code works, and offers a more detailed and up-to-date primer on data science methods. Gain powerful, actionable, profitable insights about: Advertising and promotion Consumer preference and choice Market baskets and related purchases Economic forecasting Operations management Unstructured text and language Customer sentiment Brand and price Sports team performance And much more
Category: Computers

Modeling Techniques In Predictive Analytics With Python And R

Author : Thomas W. Miller
ISBN : 9780133892147
Genre : Computers
File Size : 79.63 MB
Format : PDF, Mobi
Download : 815
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Master predictive analytics, from start to finish Start with strategy and management Master methods and build models Transform your models into highly-effective code—in both Python and R This one-of-a-kind book will help you use predictive analytics, Python, and R to solve real business problems and drive real competitive advantage. You’ll master predictive analytics through realistic case studies, intuitive data visualizations, and up-to-date code for both Python and R—not complex math. Step by step, you’ll walk through defining problems, identifying data, crafting and optimizing models, writing effective Python and R code, interpreting results, and more. Each chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work—and maximize their value. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, addresses everything you need to succeed: strategy and management, methods and models, and technology and code. If you’re new to predictive analytics, you’ll gain a strong foundation for achieving accurate, actionable results. If you’re already working in the field, you’ll master powerful new skills. If you’re familiar with either Python or R, you’ll discover how these languages complement each other, enabling you to do even more. All data sets, extensive Python and R code, and additional examples available for download at http://www.ftpress.com/miller/ Python and R offer immense power in predictive analytics, data science, and big data. This book will help you leverage that power to solve real business problems, and drive real competitive advantage. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, illuminating each technique with carefully explained code for the latest versions of Python and R. If you’re new to predictive analytics, Miller gives you a strong foundation for achieving accurate, actionable results. If you’re already a modeler, programmer, or manager, you’ll learn crucial skills you don’t already have. Using Python and R, Miller addresses multiple business challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic code that delivers actionable insights. You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. Appendices include five complete case studies, and a detailed primer on modern data science methods. Use Python and R to gain powerful, actionable, profitable insights about: Advertising and promotion Consumer preference and choice Market baskets and related purchases Economic forecasting Operations management Unstructured text and language Customer sentiment Brand and price Sports team performance And much more
Category: Computers

Sports Analytics

Author : Benjamin C. Alamar
ISBN : 9780231535250
Genre : Sports & Recreation
File Size : 56.99 MB
Format : PDF, ePub, Mobi
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Benjamin C. Alamar founded the first journal dedicated to sports statistics, the Journal of Quantitative Analysis in Sports. He developed and teaches a class on sports analytics for managers at the University of San Francisco and has published numerous cutting-edge studies on strategy and player evaluation. Today, he cochairs the sports statistics section of the International Statistics Institute and consults with several professional teams and businesses in sports analytics. There isn't a better representative of this emerging field to show diverse organizations how to implement analytics into their decision-making strategies, especially as analytic tools grow increasingly complex. Alamar provides a clear, easily digestible survey of the practice and a detailed understanding of analytics' vast possibilities. He explains how to evaluate different programs and put them to use. Using concrete examples from professional sports teams and case studies demonstrating the use and value of analytics in the field, Alamar designs a roadmap for managers, general managers, and other professionals as they build their own programs and teach their approach to others.
Category: Sports & Recreation

College Basketball Prospectus 2008 2009

Author : Ken Pomeroy
ISBN : 0452289874
Genre : Education
File Size : 77.63 MB
Format : PDF, ePub
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An authoritative guide to the upcoming college basketball season furnishes essays on diverse facets of the college game and previous season, previews of the thirty-one Division-I conferences, statistical analyses, profiles of the teams, and helpful projections for the 2008-2009 basketball season. Original.
Category: Education

The Importance Of A Piece Of Paper

Author : Jimmy Santiago Baca
ISBN : 9781555848910
Genre : Fiction
File Size : 63.21 MB
Format : PDF, ePub, Mobi
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“In Jimmy Santiago Baca’s haunting story collection, intricate family dramas . . . play out against the luminous, wide-open backdrop of New Mexico.” —Los Angeles Times In his first foray into short fiction, award-winning poet and memoirist Jimmy Santiago Baca explores the territory where old-world traditions meet new-world ambitions, and characters try to make something of themselves, while keeping their souls intact. In “Matilda’s Garden,” an old farmer pines for his wife of fifty years who died in her sleep one-night months before. He is lured to the garden in the middle of the night by what he thinks is her presence, only to meet a gruesome fate. In “The Importance of a Piece of Paper,” two siblings must face the brother who has betrayed them by selling his share of the family land, leaving an entire community vulnerable. In “The Three Sons of Julia,” a long-suffering mother whose one request is that all her sons come home for the Fourth of July, watches her dream burst as two of her sons—one a successful businessman and the other a hard-drinking ex-con—nearly destroy her house, and each other. Merging a refreshing innocence with a profound understanding of the world’s brutality, The Importance of a Piece of Paper is a daring and arresting work that is at once fearless, tender, and inspiring. “[Baca] continues to mine his experience, exploring conflicts between the rich traditions of Chicano culture and a modern world impatient with them.” —Entertainment Weekly “Inspirational, tragic, and redeeming . . . Baca provides moving poetic imagery and unleashes his gift for finely crafted sensory detail.” —Rocky Mountain News
Category: Fiction

The History Of Basketball And Volleyball

Author : Franz Wegener
ISBN : 9783638369602
Genre : Sports & Recreation
File Size : 36.58 MB
Format : PDF, Kindle
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Seminar paper from the year 2004 in the subject Sport - Sport History, grade: A (very good), Armstrong Atlantic State University (Health and Physical Education), course: Team Sports Techniques II, 11 entries in the bibliography, language: English, abstract: Read an overview of the history of volleyball and basketball and their ancient precursors from the first ideas until the present games played all over the world. This paper also describes the ways in which the rules of those two popular team sports were changed and the reasons why they were changed.
Category: Sports & Recreation