Jay Bennett – författare

A collection of a wide range of research papers on applications of statistics to various sports from journals published by the American Statistical Association and the Royal Statistical Society from 2000 through 2004. The anthology is divided into eight sections (Baseball, Cricket, Football, Golf, Olympics/Track & Field, Soccer, Other Sports, and Miscellaneous), each comprising several research articles on applications of statistics to the corresponding sport written by leading researchers, and each featuring an original introduction written by a leading researcher on the application of statistics to the corresponding sport. The anthology includes research papers at all levels of statistical sophistication that utilize a wide variety of statistical methods, and should therefore be of great interest to the statistically inclined sports fan as well as instructors and students of statistics who are looking for examples of interesting applications of statistics to problems in sports.

Discover some of the most innovative of the 6.5 million patents that the U.S. Patent and Trademark Office has granted since Thomas Jefferson issued the first one in 1790. Updated and reformatted from the original 2004 edition, Ingenious Patents presents each device along with background about the inventor, interesting sidebars and history, and an excerpt from the original patent application. Liberally sprinkled throughout are photos of original models and patent diagrams created by the inventors themselves and annotated to show exactly how each item works.Entries include creative commercial successes in fields as diverse as medicine, aeronautics, computing, agriculture, and consumer goods. Readers are certain to find a topic of interest here, whether it is the history behind the patent for a Pez dispenser, cathode ray tube, kitty litter, DNA fingerprinting, or the design of a Fender Stratocaster guitar.

The intent of this book is to look at baseball data from a statistical modeling perspective. There is a fascination among baseball fans and the media to collect data on every imaginable event during a baseball game and to use these data to try to understand characteristics of the game. The problem is that patterns in baseball data are difficult to detect due to the inherent chance variation that is present. This book addresses a number of questions that are of interest to many baseball fans. These issues include how to rate players, predict the outcome of a game or the attainment of an attainment, making sense of situational data, and deciding the most valuable players in the World Series. This book will be directed to a general audience and does not assume that the reader has any prior background in probability or statistics, although knowledge of high school algebra will be helpful.

The intent of this book is to look at baseball data from a statistical modeling perspective. There is a fascination among baseball fans and the media to collect data on every imaginable event during a baseball game and to use this data to try to understand characteristics of the game. The problem is that patterns in baseball data are difficult to detect due to the inherent chance variation that is present. This book addresses a number of questions that are of interest to many baseball fans. These issues include how to rate players, predict the outcome of a game or the attainment of an achievement, making sense of situational data, and deciding the most valuable players in the World Series. This book will be directed to a general audience of baseball fans and does not assume that the reader has any prior background in probability or statistics, although a knowledge of high school abgebra will be helpful.