David Berri
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David Berri
David J. Berri (born September 26, 1969) is a sports economist and professor of economics at Southern Utah University, known for his sometimes-controversial analysis of NBA basketball. He is a past president of the North American Association of Sports Economists, and a member of the editorial board of the ''Journal of Sports Economics'' and The International Journal of Sport Finance. Academic Background Berri graduated from Nebraska Wesleyan University with a B.A. in economics in 1991, and earned both his M.A. and Ph.D. from Colorado State University. He taught economics at Coe College and California State University-Bakersfield before accepting a position at Southern Utah University in 2008. ''The Wages of Wins'' Berri is best known for co-authoring, along with Martin Schmidt and Stacey Brook, the 2006 book ''The Wages of Wins: Taking Measure of the Many Myths in Modern Sport''. The book opened to favorable reviews in several major media outlets, including endorsements from Mal ...
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Sports Economics
Sports economics is a discipline of economics focused on its relationship to sports. It covers both the ways in which economists can study the distinctive institutions of sports, and the ways in which sports can allow economists to research many topics, including discrimination and antitrust law. The theoretical foundations of the discipline are heavily based on microeconomics Microeconomics is a branch of mainstream economics that studies the behavior of individuals and firms in making decisions regarding the allocation of scarce resources and the interactions among these individuals and firms. Microeconomics fo .... As of 2006, about 100 to 120 college professors taught sports economics courses. The Beginning of Sports Economics Simon Rottenberg is credited with likely being the first to pen a scholarly article in the field of sports economics when he wrote his 1956 article on the Uncertainty of Outcome Hypothesis. In this article, Rottenberg highlights the relationship ...
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Econometric
Econometrics is the application of statistical methods to economic data in order to give empirical content to economic relationships. M. Hashem Pesaran (1987). "Econometrics," '' The New Palgrave: A Dictionary of Economics'', v. 2, p. 8 p. 8–22 Reprinted in J. Eatwell ''et al.'', eds. (1990). ''Econometrics: The New Palgrave''p. 1 p. 1–34Abstract (2008 revision by J. Geweke, J. Horowitz, and H. P. Pesaran). More precisely, it is "the quantitative analysis of actual economic phenomena based on the concurrent development of theory and observation, related by appropriate methods of inference". An introductory economics textbook describes econometrics as allowing economists "to sift through mountains of data to extract simple relationships". Jan Tinbergen is one of the two founding fathers of econometrics. The other, Ragnar Frisch, also coined the term in the sense in which it is used today. A basic tool for econometrics is the multiple linear regression model. ''Econometri ...
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American Sportswriters
American(s) may refer to: * American, something of, from, or related to the United States of America, commonly known as the "United States" or "America" ** Americans, citizens and nationals of the United States of America ** American ancestry, people who self-identify their ancestry as "American" ** American English, the set of varieties of the English language native to the United States ** Native Americans in the United States, indigenous peoples of the United States * American, something of, from, or related to the Americas, also known as "America" ** Indigenous peoples of the Americas * American (word), for analysis and history of the meanings in various contexts Organizations * American Airlines, U.S.-based airline headquartered in Fort Worth, Texas * American Athletic Conference, an American college athletic conference * American Recordings (record label), a record label previously known as Def American * American University, in Washington, D.C. Sports teams Soccer * B ...
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American Statisticians
American(s) may refer to: * American, something of, from, or related to the United States of America, commonly known as the "United States" or "America" ** Americans, citizens and nationals of the United States of America ** American ancestry, people who self-identify their ancestry as "American" ** American English, the set of varieties of the English language native to the United States ** Native Americans in the United States, indigenous peoples of the United States * American, something of, from, or related to the Americas, also known as "America" ** Indigenous peoples of the Americas * American (word), for analysis and history of the meanings in various contexts Organizations * American Airlines, U.S.-based airline headquartered in Fort Worth, Texas * American Athletic Conference, an American college athletic conference * American Recordings (record label), a record label previously known as Def American * American University, in Washington, D.C. Sports teams Soccer * B ...
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Living People
Related categories * :Year of birth missing (living people) / :Year of birth unknown * :Date of birth missing (living people) / :Date of birth unknown * :Place of birth missing (living people) / :Place of birth unknown * :Year of death missing / :Year of death unknown * :Date of death missing / :Date of death unknown * :Place of death missing / :Place of death unknown * :Missing middle or first names See also * :Dead people * :Template:L, which generates this category or death years, and birth year and sort keys. : {{DEFAULTSORT:Living people 21st-century people People by status ...
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Adjusted Plus-Minus
Adjustment may refer to: * Adjustment (law), with several meanings * Adjustment (psychology), the process of balancing conflicting needs * Adjustment of observations, in mathematics, a method of solving an overdetermined system of equations * Calibration, in metrology *Spinal adjustment, in chiropractic practice *In statistics, compensation for confounding In statistics, a confounder (also confounding variable, confounding factor, extraneous determinant or lurking variable) is a variable that influences both the dependent variable and independent variable, causing a spurious association. Con ... variables See also * Setting (other) {{disambiguation ...
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Player Efficiency Rating
The player efficiency rating (PER) is John Hollinger's all-in-one basketball rating, which attempts to collect or boil down all of a player's contributions into one number. Using a detailed formula, Hollinger developed a system that rates every player's statistical performance. Introduction PER strives to measure a player's per-minute performance, while adjusting for pace. A league-average PER is always 15.00, which permits comparisons of player performance across seasons. PER takes into account positive results, including field goals, free throws, 3-pointers, assists, rebounds, blocks and steals and negative results, including missed shots, turnovers and personal fouls. The formula adds positive stats and subtracts negative ones through a statistical point value system. The rating for each player is then adjusted to a per-minute basis so that, for example, substitutes can be compared with starters in playing time debates. It is also adjusted for the team's pace. In the end, one ...
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John Hollinger
John Hollinger (born May 17, 1971) is the former Vice President of Basketball Operations for the Memphis Grizzlies of the National Basketball Association (NBA) and current Senior NBA columnist at The Athletic. Prior to December 2012, he was an analyst and writer for ESPN, primarily covering the NBA. Hollinger grew up in Mahwah, New Jersey, and is a 1993 graduate of the University of Virginia. Hollinger developed the website ''Alleyoop'' in 1996, initially as a hobby and sounding board for his musings on the game. Touting the site as "The Basketball Page for Thinking Fans," Hollinger followed in the footsteps of noted analysts Dean Oliver and Bob Bellotti in a quest for the ultimate basketball statistic. During ''Alleyoops early years, Hollinger experimented with offensive and defensive ratings (points created and allowed per 100 possessions) in much the same way as Oliver, as a means of quantifying a player's overall contribution to his team. While the methods were hardly grou ...
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TENDEX
The Tendex system is a basketball mathematical statistical formula that was created by sports writer Dave Heeren, in order to determine the playing efficiency of basketball players. It is generally accepted as the original weighted advanced stat formula used in the sport of basketball. Calculation The Tendex statistical system has 3 different formulas and is calculated as follows: Standard Tendex Rating: (Tendex raw statistical formula) ( Points) + (Rebounds) + ( Assists) + ( Steals) + ( Blocks) - (Missed Field Goals) - 0.5 * (Missed Free Throws) - ( Turnovers) - ( Fouls Committed) / ( Minutes Played) / (Game Pace (Possessions Per Game, typically ranges from 60 to 75)) Modified Tendex Rating: (Tendex weighted average statistical formula) ( Points) + (Rebounds) + 1.25 * ( Assists) + 1.25 * ( Steals) + ( Blocks) - 1.25 * ( Turnovers) - (Missed Field Goals) - (Missed Free Throws / 2) - ( Fouls Committed / 2) / ( Minutes Played) / (Game Pace (Possessions Per Game, typically r ...
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Linear Weights
In statistics, linear regression is a linear approach for modelling the relationship between a scalar response and one or more explanatory variables (also known as dependent and independent variables). The case of one explanatory variable is called ''simple linear regression''; for more than one, the process is called multiple linear regression. This term is distinct from multivariate linear regression, where multiple correlated dependent variables are predicted, rather than a single scalar variable. In linear regression, the relationships are modeled using linear predictor functions whose unknown model parameters are estimated from the data. Such models are called linear models. Most commonly, the conditional mean of the response given the values of the explanatory variables (or predictors) is assumed to be an affine function of those values; less commonly, the conditional median or some other quantile is used. Like all forms of regression analysis, linear regression focuses on t ...
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General Manager
A general manager (GM) is an executive who has overall responsibility for managing both the revenue and cost elements of a company's income statement, known as profit & loss (P&L) responsibility. A general manager usually oversees most or all of the firm's marketing and sales functions as well as the day-to-day operations of the business. Frequently, the general manager is responsible for effective planning, delegating, coordinating, staffing, organizing, and decision making to attain desirable profit making results for an organization (Sayles 1979). In many cases, the general manager of a business is given a different formal title or titles. Most corporate managers holding the titles of chief executive officer (CEO) or president, for example, are the general managers of their respective businesses. More rarely, the chief financial officer (CFO), chief operating officer (COO), or chief marketing officer (CMO) will act as the general manager of the business. Depending on the ...
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Linear Regression
In statistics, linear regression is a linear approach for modelling the relationship between a scalar response and one or more explanatory variables (also known as dependent and independent variables). The case of one explanatory variable is called '' simple linear regression''; for more than one, the process is called multiple linear regression. This term is distinct from multivariate linear regression, where multiple correlated dependent variables are predicted, rather than a single scalar variable. In linear regression, the relationships are modeled using linear predictor functions whose unknown model parameters are estimated from the data. Such models are called linear models. Most commonly, the conditional mean of the response given the values of the explanatory variables (or predictors) is assumed to be an affine function of those values; less commonly, the conditional median or some other quantile is used. Like all forms of regression analysis, linear regression focuses on ...
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