Handbook Of Statistical Methods And Analyses In Sports

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Handbook of Statistical Methods and Analyses in Sports

Author : Jim Albert,Mark E. Glickman,Tim B. Swartz,Ruud H. Koning
Publisher : CRC Press
Page : 463 pages
File Size : 44,7 Mb
Release : 2017-02-03
Category : Mathematics
ISBN : 9781351678964

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Handbook of Statistical Methods and Analyses in Sports by Jim Albert,Mark E. Glickman,Tim B. Swartz,Ruud H. Koning Pdf

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.

Analytic Methods in Sports

Author : Thomas A. Severini
Publisher : CRC Press
Page : 327 pages
File Size : 42,5 Mb
Release : 2020-04-15
Category : Mathematics
ISBN : 9781000050943

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Analytic Methods in Sports by Thomas A. Severini Pdf

One of the greatest changes in the sports world in the past 20 years has been the use of mathematical methods to analyze performances, recognize trends and patterns, and predict results. Analytic Methods in Sports: Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports, Second Edition provides a concise yet thorough introduction to the analytic and statistical methods that are useful in studying sports. The book gives you all the tools necessary to answer key questions in sports analysis. It explains how to apply the methods to sports data and interpret the results, demonstrating that the analysis of sports data is often different from standard statistical analyses. The book integrates a large number of motivating sports examples throughout and offers guidance on computation and suggestions for further reading in each chapter. Features Covers numerous statistical procedures for analyzing data based on sports results Presents fundamental methods for describing and summarizing data Describes aspects of probability theory and basic statistical concepts that are necessary to understand and deal with the randomness inherent in sports data Explains the statistical reasoning underlying the methods Illustrates the methods using real data drawn from a wide variety of sports Offers many of the datasets on the author’s website, enabling you to replicate the analyses or conduct related analyses New to the Second Edition R code included for all calculations A new chapter discussing several more advanced methods, such as binary response models, random effects, multilevel models, spline methods, and principal components analysis, and more Exercises added to the end of each chapter, to enable use for courses and self-study

Analytic Methods in Sports

Author : Thomas Alan Severini
Publisher : Unknown
Page : 355 pages
File Size : 40,7 Mb
Release : 2020
Category : MATHEMATICS
ISBN : 1000050920

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Analytic Methods in Sports by Thomas Alan Severini Pdf

"Analytic Methods in Sports: Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports, 2nd Edition provides a concise yet thorough introduction to the analytic and statistical methods that are useful in studying sports. It explains how to apply the methods to sports data and interpret the results, demonstrating that the analysis of sports data is often different from standard statistical analyses. The book integrates a large number of motivating sports examples throughout and offers guidance on computation and suggestions for further reading in each chapter"--

Handbook of Statistical Methods for Randomized Controlled Trials

Author : KyungMann Kim,Frank Bretz,Ying Kuen K. Cheung,Lisa V. Hampson
Publisher : CRC Press
Page : 655 pages
File Size : 50,5 Mb
Release : 2021-08-23
Category : Mathematics
ISBN : 9781498714648

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Handbook of Statistical Methods for Randomized Controlled Trials by KyungMann Kim,Frank Bretz,Ying Kuen K. Cheung,Lisa V. Hampson Pdf

Statistical concepts provide scientific framework in experimental studies, including randomized controlled trials. In order to design, monitor, analyze and draw conclusions scientifically from such clinical trials, clinical investigators and statisticians should have a firm grasp of the requisite statistical concepts. The Handbook of Statistical Methods for Randomized Controlled Trials presents these statistical concepts in a logical sequence from beginning to end and can be used as a textbook in a course or as a reference on statistical methods for randomized controlled trials. Part I provides a brief historical background on modern randomized controlled trials and introduces statistical concepts central to planning, monitoring and analysis of randomized controlled trials. Part II describes statistical methods for analysis of different types of outcomes and the associated statistical distributions used in testing the statistical hypotheses regarding the clinical questions. Part III describes some of the most used experimental designs for randomized controlled trials including the sample size estimation necessary in planning. Part IV describe statistical methods used in interim analysis for monitoring of efficacy and safety data. Part V describe important issues in statistical analyses such as multiple testing, subgroup analysis, competing risks and joint models for longitudinal markers and clinical outcomes. Part VI addresses selected miscellaneous topics in design and analysis including multiple assignment randomization trials, analysis of safety outcomes, non-inferiority trials, incorporating historical data, and validation of surrogate outcomes.

Handbook of Statistical Methods for Case-Control Studies

Author : Ørnulf Borgan,Norman Breslow,Nilanjan Chatterjee,Mitchell H. Gail,Alastair Scott,Chris J. Wild
Publisher : CRC Press
Page : 536 pages
File Size : 54,7 Mb
Release : 2018-06-27
Category : Mathematics
ISBN : 9781498768597

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Handbook of Statistical Methods for Case-Control Studies by Ørnulf Borgan,Norman Breslow,Nilanjan Chatterjee,Mitchell H. Gail,Alastair Scott,Chris J. Wild Pdf

Handbook of Statistical Methods for Case-Control Studies is written by leading researchers in the field. It provides an in-depth treatment of up-to-date and currently developing statistical methods for the design and analysis of case-control studies, as well as a review of classical principles and methods. The handbook is designed to serve as a reference text for biostatisticians and quantitatively-oriented epidemiologists who are working on the design and analysis of case-control studies or on related statistical methods research. Though not specifically intended as a textbook, it may also be used as a backup reference text for graduate level courses. Book Sections Classical designs and causal inference, measurement error, power, and small-sample inference Designs that use full-cohort information Time-to-event data Genetic epidemiology About the Editors Ørnulf Borgan is Professor of Statistics, University of Oslo. His book with Andersen, Gill and Keiding on counting processes in survival analysis is a world classic. Norman E. Breslow was, at the time of his death, Professor Emeritus in Biostatistics, University of Washington. For decades, his book with Nick Day has been the authoritative text on case-control methodology. Nilanjan Chatterjee is Bloomberg Distinguished Professor, Johns Hopkins University. He leads a broad research program in statistical methods for modern large scale biomedical studies. Mitchell H. Gail is a Senior Investigator at the National Cancer Institute. His research includes modeling absolute risk of disease, intervention trials, and statistical methods for epidemiology. Alastair Scott was, at the time of his death, Professor Emeritus of Statistics, University of Auckland. He was a major contributor to using survey sampling methods for analyzing case-control data. Chris J. Wild is Professor of Statistics, University of Auckland. His research includes nonlinear regression and methods for fitting models to response-selective data.

Statistics in Sport

Author : Jay Bennett
Publisher : Hodder Education
Page : 312 pages
File Size : 46,9 Mb
Release : 1998
Category : Mathematics
ISBN : 0340700726

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Statistics in Sport by Jay Bennett Pdf

Although sports statistics receive vast amounts of media attention, disciplined analysis of the data is rare and the analyses published by statisticians are typically scattered across journals and conferences. This book is the first in over twenty years to provide a comprehensive and accessible survey of statistics in sports. It contains separate chapters devoted to American football, baseball, basketball, cricket, soccer, golf, ice hockey, tennis, and track and field. Four additional chapters review outcome predictions, graphical techniques, tournament designs, and Bayesian applications across all sports. Each chapter has been written by a recognized statistical authority in that field and includes the history of statistics in that sport, a look at current statistical issues, and an evaluation of current statistical models. Themes throughout the book include player ratings, the existence of hot streaks and clutch play, prediction of record performances, and the effects of changes in rules, scoring and tournament structures. The book will interest any sports fan wishing to go beyond the data in newspapers and magazines, and will be an invaluable resource for statistics instructors looking for exciting material.

Anthology of Statistics in Sports

Author : Jim Albert,Jay Bennett,James J. Cochran
Publisher : SIAM
Page : 327 pages
File Size : 49,5 Mb
Release : 2005-01-01
Category : Mathematics
ISBN : 0898718384

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Anthology of Statistics in Sports by Jim Albert,Jay Bennett,James J. Cochran Pdf

The unlikely worlds of sports fans and statisticians collide in this interesting and accessible collection of previously published articles on the use of statistics to analyze sports, which the editors have thoughtfully culled from a variety of American Statistical Association (ASA) publications. Heavily weighted in the areas of competition (rating players and teams, evaluating strategies for victory), the articles vary in mathematical complexity, but most will be accessible to readers with a general knowledge of statistics. Newly written material from the editors and other notable contributors introduces each section of the book, and a chapter with suggestions on using the articles in the classroom is included. Organized by sport to make it easy for readers to find the papers in their particular areas of interest, Anthology of Statistics in Sports contains separate sections devoted to the major North American team sports of baseball, football, basketball, and ice hockey. Two additional sections cover miscellaneous sports and more general issues related to sports and statistics. This book grew from the efforts of members of the ASA Section on Statistics in Sports, which is dedicated to promoting high professional standards in the application of statistics to sports and fostering statistical education in sports.

Data Analysis in Sport

Author : Peter O'Donoghue,Lucy Holmes
Publisher : Routledge
Page : 237 pages
File Size : 49,7 Mb
Release : 2014-10-24
Category : Medical
ISBN : 9781317810377

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Data Analysis in Sport by Peter O'Donoghue,Lucy Holmes Pdf

Making sense of sports performance data can be a challenging task but is nevertheless an essential part of performance analysis investigations. Focusing on techniques used in the analysis of sport performance, this book introduces the fundamental principles of data analysis, explores the most important tools used in data analysis, and offers guidance on the presentation of results. The book covers key topics such as: The purpose of data analysis, from statistical analysis to algorithmic processing Commercial packages for performance and data analysis, including Focus, Sportscode, Dartfish, Prozone, Excel, SPSS and Matlab Effective use of statistical procedures in sport performance analysis Analysing data from manual notation systems, player tracking systems and computerized match analysis systems Creating visually appealing ‘dashboard’ interfaces for presenting data Assessing reliability. The book includes worked examples from real sport, offering clear guidance to the reader and bringing the subject to life. This book is invaluable reading for any student, researcher or analyst working in sport performance or undertaking a sport-related research project or methods course

Data Analysis and Research for Sport and Exercise Science

Author : Craig Williams,Chris Wragg
Publisher : Routledge
Page : 152 pages
File Size : 50,5 Mb
Release : 2004-08-02
Category : Sports & Recreation
ISBN : 9781134439003

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Data Analysis and Research for Sport and Exercise Science by Craig Williams,Chris Wragg Pdf

Data Analysis and Research for Sport and Exercise Science is tailored to suit undergraduate sports and exercise science students seeking a clear understanding of data and statistics to support their scientific research. The text is divided into three main areas: Research and Design, Data Analysis and the Interpretation of Findings. Topics covered in the book include: * introduction to the scientific research method * the literature review * developing your research question and experimental design * using statistical analysis to interpret results * presentation of your data * discussing your results and drawing conclusions. Both authors have supervised many student dissertations and have an excellent understanding of the concerns and pitfalls facing those new to this field.

Handbook of Forensic Statistics

Author : David L. Banks,Karen Kafadar,David H. Kaye,Maria Tackett
Publisher : CRC Press
Page : 571 pages
File Size : 46,8 Mb
Release : 2020-11-05
Category : Law
ISBN : 9781000096064

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Handbook of Forensic Statistics by David L. Banks,Karen Kafadar,David H. Kaye,Maria Tackett Pdf

Handbook of Forensic Statistics is a collection of chapters by leading authorities in forensic statistics. Written for statisticians, scientists, and legal professionals having a broad range of statistical expertise, it summarizes and compares basic methods of statistical inference (frequentist, likelihoodist, and Bayesian) for trace and other evidence that links individuals to crimes, the modern history and key controversies in the field, and the psychological and legal aspects of such scientific evidence. Specific topics include uncertainty in measurements and conclusions; statistically valid statements of weight of evidence or source conclusions; admissibility and presentation of statistical findings; and the state of the art of methods (including problems and pitfalls) for collecting, analyzing, and interpreting data in such areas as forensic biology, chemistry, and pattern and impression evidence. The particular types of evidence that are discussed include DNA, latent fingerprints, firearms and toolmarks, glass, handwriting, shoeprints, and voice exemplars.

Handbook of Measurement Error Models

Author : Grace Y. Yi,Aurore Delaigle,Paul Gustafson
Publisher : CRC Press
Page : 648 pages
File Size : 41,6 Mb
Release : 2021-09-28
Category : Mathematics
ISBN : 9781351588591

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Handbook of Measurement Error Models by Grace Y. Yi,Aurore Delaigle,Paul Gustafson Pdf

Measurement error arises ubiquitously in applications and has been of long-standing concern in a variety of fields, including medical research, epidemiological studies, economics, environmental studies, and survey research. While several research monographs are available to summarize methods and strategies of handling different measurement error problems, research in this area continues to attract extensive attention. The Handbook of Measurement Error Models provides overviews of various topics on measurement error problems. It collects carefully edited chapters concerning issues of measurement error and evolving statistical methods, with a good balance of methodology and applications. It is prepared for readers who wish to start research and gain insights into challenges, methods, and applications related to error-prone data. It also serves as a reference text on statistical methods and applications pertinent to measurement error models, for researchers and data analysts alike. Features: Provides an account of past development and modern advancement concerning measurement error problems Highlights the challenges induced by error-contaminated data Introduces off-the-shelf methods for mitigating deleterious impacts of measurement error Describes state-of-the-art strategies for conducting in-depth research

Statistics for Sports and Exercise Science

Author : John Newell,Tom Aitchison,Stanley Grant
Publisher : Routledge
Page : 440 pages
File Size : 47,6 Mb
Release : 2014-12-05
Category : Sports & Recreation
ISBN : 9781317904199

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Statistics for Sports and Exercise Science by John Newell,Tom Aitchison,Stanley Grant Pdf

Statistics in Sport and Exercise Science assumes no prior knowledge of statistics and uses real-life case studies to introduce the importance of statistics in sport and exercise science. Statistical tests and techniques are described here in a friendly and easy-to-understand manner, giving you the confidence to analyses data and complete your own statistical studies.

Basketball Data Science

Author : Paola Zuccolotto,Marica Manisera
Publisher : CRC Press
Page : 205 pages
File Size : 41,8 Mb
Release : 2020-01-03
Category : Business & Economics
ISBN : 9780429894251

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Basketball Data Science by Paola Zuccolotto,Marica Manisera Pdf

Using data from one season of NBA games, Basketball Data Science: With Applications in R is the perfect book for anyone interested in learning and applying data analytics in basketball. Whether assessing the spatial performance of an MBA player’s shots or doing an analysis of the impact of high pressure game situations on the probability of scoring, this book discusses a variety of case studies and hands-on examples using a custom R package. The codes are supplied so readers can reproduce the analyses themselves or create their own. Assuming a basic statistical knowledge, Basketball Data Science with R is suitable for students, technicians, coaches, data analysts and applied researchers. Features: · One of the first books to provide statistical and data mining methods for the growing field of analytics in basketball. · Presents tools for modelling graphs and figures to visualize the data. · Includes real world case studies and examples, such as estimations of scoring probability using the Golden State Warriors as a test case. · Provides the source code and data so readers can do their own analyses on NBA teams and players.

Statistics Meets Sports

Author : Yves Dominicy,Christophe Ley
Publisher : Cambridge Scholars Publishing
Page : 287 pages
File Size : 48,8 Mb
Release : 2023-01-03
Category : Mathematics
ISBN : 9781527592742

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Statistics Meets Sports by Yves Dominicy,Christophe Ley Pdf

This book inscribes itself in the growing context of sports analytics and the combination of data science with sports medicine, which deeply impact the world of sports. Today, ever-more data are being collected and lead to ground-breaking and game-changing new insights. This book provides a solid understanding of these new trends in sports and offers the interested reader with a starting point from which to dive into this blossoming field.

Sport Industry Research and Analysis

Author : Jacquelyn Cuneen,David A. Tobar
Publisher : Routledge
Page : 241 pages
File Size : 49,8 Mb
Release : 2017-05-08
Category : Sports & Recreation
ISBN : 9781351817103

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Sport Industry Research and Analysis by Jacquelyn Cuneen,David A. Tobar Pdf

Sport Industry Research & Analysis offers a no-nonsense, straightforward approach to the study of research design and statistical analysis in the sport enterprise. Each chapter outlines real-world instances in which research and statistics contribute to bottom-line decisions. The book includes clear, progressive instructions, using spreadsheets for statistical computations and analyses. The explanations for the calculations and analyses are presented in the context of sport industry scenarios with sample data. Additional scenarios with sample data provide hands-on practice with each statistical test. "In Practice" contributions from sport industry professionals demonstrate how these practitioners use research and statistical analysis in their everyday tasks. This book's succinct, applied approach to research design and statistical analyses provides readers with essential skills to help them understand the importance of an information-based approach to decision making in the sport enterprise.