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- February 2005 (Revised March 2005)
- Background Note
Simple Regression Mathematics
By: Frances X. Frei and Dennis Campbell
Describes the underlying mathematics of regression. View Details
Keywords: Mathematical Methods
- 1977
- Book
Applied Mathematical Programming
By: Stephen P. Bradley, Arnoldo C. Hax and Thomas L. Magnanti
Keywords: Mathematical Methods
- Article
Overhead Allocation via Mathematical Programming Models
By: Robert S. Kaplan and Gerald Thompson
Keywords: Mathematical Methods
- 1981
- Chapter
Mathematical Analysis and Convexity with Applications to Economics
By: Jerry R. Green and Walter P. Heller
- Article
High School Curriculum and Financial Outcomes: The Impact of Mandated Personal Finance and Mathematics Courses
By: Shawn Cole, Anna Paulson and Gauri Kartini Shastry
Financial literacy and cognitive capabilities are convincingly linked to the quality of financial decision-making. Yet, there is little evidence that education intended to improve financial decision-making is successful. Using plausibly exogenous variation in exposure... View Details
- 24 Apr 2014
- News
Creating a mathematical method to understand consumer behavior in a digital world
homophily—the “birds-of-a-feather” tendencies of like-minded people? Only by understanding the relative impacts of these factors can companies develop effective marketing strategies. Studying the adoption of a mobile app in Japan, Gupta and colleagues devised a View Details
- 2008
- Conference Presentation
Analyzing and Using Data From Global Positioning Systems and Digital Imagery in Mathematics Courses
By: F. Wattenberg, K. Erickson, J. Helms, K. DeGregory and Hise O. Gibson
- 01 Jun 2010
- News
Alumni Books
A Vision for Venture Capital: Realizing the Promise of Global Venture Capital & Private Equity by Peter A. Brooke (MBA ’54) with Daniel Penrice (New Ventures) This book chronicles the career of Peter Brooke, who has been called “the Johnny Appleseed of venture capital”... View Details
- March 2022 (Revised January 2025)
- Technical Note
Linear Regression
This note provides an overview of linear regression for an introductory data science course. It begins with a discussion of correlation, and explains why correlation does not necessarily imply causation. The note then describes the method of least squares, and how to... View Details
- 2010
- Other Unpublished Work
Is High School the Right Time to Teach Self-control? The Effect of Financial Education and Mathematics Courses on Savings Behavior
By: Shawn A. Cole and Gauri Kartini Shastry
Household financial behavior affects household welfare and the economy at large. Yet our understanding of how to improve financial decisions is limited. Recent literature and policy attention have focused on financial education, for example, in high school. We use... View Details
- March 2022 (Revised January 2025)
- Technical Note
Statistical Inference
This note provides an overview of statistical inference for an introductory data science course. First, the note discusses samples and populations. Next the note describes how to calculate confidence intervals for means and proportions. Then it walks through the logic... View Details
- 2012
- Article
Demand and Capacity Management in Air Transportation
This paper summarizes research trends and opportunities in the area of managing air transportation demand and capacity. Capacity constraints and resulting congestion and low schedule reliability currently impose large costs on airlines and their passengers. Significant... View Details
The New Science of Retailing
Authors Marshall Fisher and Ananth Raman, argue that the time is ripe for “rocket science retailing.” Just as Wall Street was... View Details- November 2018
- Case
Sportradar (A): From Data to Storytelling
By: Ramon Casadesus-Masanell, Karen Elterman and Oliver Gassmann
In 2013, the Swiss sports data company Sportradar debated whether to expand from its core business of data provision to bookmakers into sports media products. Sports data was becoming a commodity, and in the future, sports leagues might reduce their dependence on... View Details
Keywords: Sports Data; Data; Sport; Sportradar; Football; Soccer; Gambling; Betting; Betting Markets; Statistics; Odds; Live Data; Bookmakers; Betradar; Visualization; Integrity; Monitoring; Gaming; Streaming; 2013; St.Gallen; Algorithm; Mathematical Modeling; Carsten Koerl; Betandwin; Bwin; Wagering; Probability; Sports; Analytics and Data Science; Mathematical Methods; Games, Gaming, and Gambling; Transition; Strategy; Media; Sports Industry; Technology Industry; Information Technology Industry; Media and Broadcasting Industry; Europe; Switzerland; Asia; Austria; Germany; England
Wilbur Townsend
Wilbur Townsend studied economics, mathematics and philosophy at Victoria University of Wellington. Since, he has worked at Stanford and Harvard universities, and at Motu Economic and Public Policy Research. He is interested in labor, econometrics, theory and IO. View Details