The love between team and borough was equally storied, an iron bond of loyalty forged through years of adversity and sometimes legendary ineptitude. Coming off their first World Series triumph ever in 1955, against the hated Yankees, the Dodgers would defend their crown against the Milwaukee Braves and the Cincinnati Reds in a six-month neck-and-neck contest until the last day of the playoffs, one of the most thrilling pennant races in history.But as The Last Good Season so richly relates, all was not well under the surface. The Dodgers were an aging team at the tail end of its greatness, and Brooklyn was a place caught up in rapid and profound urban change. From a cradle of white ethnicity, it was being transformed into a racial patchwork, including Puerto Ricans and blacks from the South who flocked to Ebbets Field to watch the Dodgers’ black stars. The institutions that defined the borough – the Brooklyn Eagle, the Brooklyn Navy Yard – had vanished, and only the Dodgers remained. And when their shrewd, dollar-squeezing owner, Walter O’Malley, began casting his eyes elsewhere in the absence of any viable plan to replace the aging Ebbets Field and any support from the all-powerful urban czar Robert Moses, the days of the Dodgers in Brooklyn were clearly numbered.Michael Shapiro, a Brooklyn native, has interviewed many of the surviving participants and observers of the 1956 season, and undertaken immense archival research to bring its public and hidden drama to life. Like David Halberstam’s The Summer of ’49, The Last Good Season combines an exciting baseball story, a genuine sense of nostalgia, and hard-nosed reporting and social thinking to reveal, in a new light, a time and place we only thought we understood.From the Hardcover edition.

    Facing down batter after batter, he breaks down his though process and recounts in vivid and candid detail his analysis of the players who stepped into the batter's box against him, his control of both the ball and the elements of the day, and his moments of synchronicity with teammate Tim McCarver, all the while capturing the fascinating relationship and unspoken dialogue that carries on between pitcher and catcher over the course of nine critical innings.From the dugout to the locker room, Gibson offers a behind-the-scenes look at the lives of the players, the team's chemistry, and clubhouse culture. He recounts the story of Curt Flood, Gibson's best friend and the Cardinal center fielder, who would go on to become one of the pioneers of free agency; shares colorful anecdotes of his interactions with some of baseball's most unforgettable names, from Denny McLain and Roger Maris to Sandy Koufax and Harry Caray; and relives the confluence of events, both on and off the field, that led to one of his---and baseball's---most memorable games ever.This deep, unfiltered insider look at one particular afternoon of baseball allows for a better understanding of how pros play the game and all the variables that a pitcher contends with as he navigates his way through a formidable lineup. Gibson's extraordinary and engrossing tale is retold from the unique viewpoint of an extremely perceptive pitcher who happens to be one of baseball's all-time greats.

    Its world-class authors provide guidance on all aspects of Bayesian data analysis and include examples of real statistical analyses, based on their own research, that demonstrate how to solve complicated problems. Changes in the new edition include:Stronger focus on MCMC Revision of the computational advice in Part III New chapters on nonlinear models and decision analysis Several additional applied examples from the authors' recent research Additional chapters on current models for Bayesian data analysis such as nonlinear models, generalized linear mixed models, and more Reorganization of chapters 6 and 7 on model checking and data collectionBayesian computation is currently at a stage where there are many reasonable ways to compute any given posterior distribution. However, the best approach is not always clear ahead of time. Reflecting this, the new edition offers a more pluralistic presentation, giving advice on performing computations from many perspectives while making clear the importance of being aware that there are different ways to implement any given iterative simulation computation. The new approach, additional examples, and updated information make Bayesian Data Analysis an excellent introductory text and a reference that working scientists will use throughout their professional life.

    These were the decades when baseball expanded across the country and truly became the national pastime. The era opened, though, with the domination of the New York teams: the Yankees, Dodgers, or Giants were in every World Series of the 1950s -- but by the end of the decade the two National League teams had moved to California. Representing those great teams in this volume are Whitey Ford, Ralph Branca, Carl Erskine, Duke Snider, and Bill Rigney. They recall the great 1951 Dodgers-Giants playoff that ended with Bobby Thomson's famous home run (served up by Branca). They remember the mighty Yankees, defeated at last in 1955 by the Dodgers, only to recover the World Series crown from their Brooklyn rivals a year later. They talk about their most feared opponents and most valued teammates, from Joe DiMaggio and Mickey Mantle to Jackie Robinson and Roy Campanella to Willie Mays. But there were great teams and great ballplayers elsewhere in the 1950s and 1960s. Hall of Fame pitcher Robin Roberts recalls the famous Whiz Kids Phillies of 1950 and his epic duels with Don Newcombe and other leading National League pitchers. Lew Burdette remembers his years as one-half of the dominating pitching duo (with Warren Spahn) that propelled the Braves to the World Series in 1957 and 1958. Harmon Killebrew recalls belting home runs for the hapless Washington Senators, then discovering a new world of enthusiastic fans in Minnesota when the Senators joined the westward migration and became the Twins. Brooks Robinson, on the other hand, played his entire twenty-three-year career for the Baltimore Orioles, never moving anywhere except all around third base, where he earned a record sixteen consecutive Gold Gloves. When Frank Robinson left Cincinnati to join Brooks on the Orioles in 1966, that team became a powerhouse. Frank Robinson won the MVP award that year, the first player to do so in each league. He remembers taking the momentous step to become the first African-American manager in the big leagues, the final step that Jackie Robinson had wanted to take. Like Frank Robinson, Billy Williams was one of the first African-American stars not to come out of the old Negro Leagues. He spent his greatest years with the Chicago Cubs, playing alongside Mr. Cub, Ernie Banks, and later Ron Santo, but here he recalls how he nearly gave up on the game in the minor leagues. We Would Have Played for Nothing is full of fascinating stories about how these great ballplayers broke into baseball, about the inevitable frustrations of trying to negotiate a contract with owners who always had the upper hand, and about great games and great stars-teammates and opponents-whose influence shaped these ballplayers' lives forever. Illustrated throughout, this book is a wonderful reminiscence of two great decades in the history of baseball.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    They reveal why general anesthesia is as dangerous as a parachute jump, giving birth in the US is nearly twice as risky as in the UK, and that the radiation from eating a banana shaves 3 seconds off your life. An entertaining guide to the statistics of personal risk, The Norm Chronicles will enlighten anyone who has ever worried about the dangers we encounter in our daily lives.

    Illustrated with 16 pages of photographs.

     Every college sport picks its champion by a postseason tournament, except for one: Division I-A football. Instead of a tournament, fans are subjected to the Bowl Championship Series, an arcane mix of polling and mathematical rankings that results in just two teams playing for the championship. It is, without a doubt, the most hated institution in all of sports. A recent "Sports Illustrated" poll found that more than 90 percent of sports fans oppose the BCS, yet this system has remained in place for more than a decade. Built upon top-notch investigative reporting, "Death to the BCS" at last reveals the truth about this monstrous entity and offers a simple solution for fixing it. "Death to the BCS" includes findings from interviews with power players, as well as research into federal tax records, Congressional testimony, and private contracts, revealing: ?The truth behind the "Cartel"-the anonymous suits who run the BCS and who profit handsomely by protecting it ?The flawed math and corruption that determine which teams participate in the national championship ?How the system hurts competition by perpetuating "cupcake" schedules ?How "mid-major" teams are systematically denied a chance to play for the championship ?How a comprehensive sixteen-team playoff plan can solve the problem while enhancing profitability The first book to lay out the unseemly inner workings of the BCS in full detail, "Death to the BCS" is a rousing manifesto for bringing fairness back to one of our most beloved sports.

    In the modern experimentalist paradigm, these techniques address clear causal questions such as: Do smaller classes increase learning? Should wife batterers be arrested? How much does education raise wages? Mostly Harmless Econometrics shows how the basic tools of applied econometrics allow the data to speak.In addition to econometric essentials, Mostly Harmless Econometrics covers important new extensions--regression-discontinuity designs and quantile regression--as well as how to get standard errors right. Joshua Angrist and Jorn-Steffen Pischke explain why fancier econometric techniques are typically unnecessary and even dangerous. The applied econometric methods emphasized in this book are easy to use and relevant for many areas of contemporary social science.An irreverent review of econometric essentials A focus on tools that applied researchers use most Chapters on regression-discontinuity designs, quantile regression, and standard errors Many empirical examples A clear and concise resource with wide applications

    12 WEEK WORKOUT PLAN✔ 102 page step-by-step guide✔ Effective cardio methods✔ Target problem areas✔ Each exercise under 30 min✔ See results in one week

    Whether he's explaining what goes through a ballplayer's mind when he faces a fastball in the chapter "My Face Was Crushed by a Bowling Ball Going 90mph", detailing bizarre rituals and superstitions performed by some of baseball's greatest players, or taking us into the locker room to see what transpires in the clubhouse of a Major League team, Kurkjian's tales are at times hilarious, other times horrifying, yet always entertaining.Kurkjian has spoken to some of the greatest ballplayers ever over the years and they have revealed details about themselves and the game they love with a candor that readers won't find anywhere else. Filled with anecdotes and fascinating insight, this is an essential book for baseball fans or anyone curious about America's pastime.

    Predictive Analytics For Dummies explores the power of predictive analytics and how you can use it to make valuable predictions for your business, or in fields such as advertising, fraud detection, politics, and others. This practical book does not bog you down with loads of mathematical or scientific theory, but instead helps you quickly see how to use the right algorithms and tools to collect and analyze data and apply it to make predictions.Topics include using structured and unstructured data, building models, creating a predictive analysis roadmap, setting realistic goals, budgeting, and much more.Shows readers how to use Big Data and data mining to discover patterns and make predictions for tech-savvy businesses Helps readers see how to shepherd predictive analytics projects through their companies Explains just enough of the science and math, but also focuses on practical issues such as protecting project budgets, making good presentations, and more Covers nuts-and-bolts topics including predictive analytics basics, using structured and unstructured data, data mining, and algorithms and techniques for analyzing data Also covers clustering, association, and statistical models; creating a predictive analytics roadmap; and applying predictions to the web, marketing, finance, health care, and elsewhere Propose, produce, and protect predictive analytics projects through your company with Predictive Analytics For Dummies.

    Complaints abound: from inflated ticket prices, $6 hot dogs, and $9 beers to owners endlessly demanding new multimillion-dollar stadiums funded by public tax dollars. Those sitting in the owners’ boxes are increasingly placing profit over players’ performances and fan loyalty. Bad Sports cuts through the hype and bombast to zero in on tales of abusive, dictatorial owners who move their teams thousands of miles away from their fan base, use their stadiums as religious and political platforms, or hold communities ransom for millions of dollars of taxpayer money to fund their gargantuan stadiums.As the multibillion-dollar sports-industrial complex continues to lumber along, Dave Zirin is the voice in the wilderness, speaking out for the common fan with a tough, passionate, and intelligent voice that will remind readers that there is more to sportswriting than glowing athlete profiles.

    No hits, no walks, no men reaching base. In nearly four hundred thousand contests in more than 130 years of Major League Baseball, it has only happened twenty times. On June 2, 2010, Armando Galarraga threw baseball’s twenty-first perfect game. Except that’s not how it entered the record books.That’s because Jim Joyce, a veteran umpire with more than twenty years of big league experience, the man voted the best umpire in the game in 2010 by baseball’s players, missed the call on the final out at first base. “No, I did not get the call correct,” Joyce said after seeing a replay. But rather than throw a tantrum, Galarraga simply turned and smiled, went back to the mound and took care of business. “Nobody’s perfect,” he said later in the locker room.In Nobody’s Perfect, Galarraga and Joyce come together to tell the personal story of a remarkable game that will live forever in baseball lore, and to trace their fascinating lives in sports up until this pivotal moment. It is an absorbing insider’s look at two lives in baseball, a tremendous achievement, and an enduring moment of sportsmanship.

    The Perfection Point is ideal for sports fans interested in the scientific basis of athletic excellence and a fascinating read for science fans interested in the physics of sports.