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- Faculty Publications (1)
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- March 2020
- Article
Diagnosing Missing Always at Random in Multivariate Data
By: Iavor I. Bojinov, Natesh S. Pillai and Donald B. Rubin
Models for analyzing multivariate data sets with missing values require strong, often assessable, assumptions. The most common of these is that the mechanism that created the missing data is ignorable—a twofold assumption dependent on the mode of inference. The first...
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Keywords:
Missing Data;
Diagnostic Tools;
Sensitivity Analysis;
Hypothesis Testing;
Missing At Random;
Row Exchangeability;
Analytics and Data Science;
Mathematical Methods
Bojinov, Iavor I., Natesh S. Pillai, and Donald B. Rubin. "Diagnosing Missing Always at Random in Multivariate Data." Biometrika 107, no. 1 (March 2020): 246–253.
- Web
Named Fellowship Funds - Alumni
in sales and brand management at Procter & Gamble and served as an equity analyst at T. Rowe Price. Bergeron is a board member of five of Strength Capital’s investments: Pinnacle Paving & Sealing, Chemlock Nutrition, Tenty Distributors,...
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- 01 Sep 2023
- News
Case Study: The Home Team
homebuilders) could be interested in offering your product as an add-on in exchange for revenue-sharing agreements. Presenting a higher initial price and then offering fee rebates through such partnerships increases scalability without...
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- 02 Dec 2019
- News
A Long-Standing Commitment to Global Understanding
Tom (MBA 1969) and Patricia Barry It was a given in Tom Barry’s family that, having done well in math and science in high school, he would pursue a degree in a related field as a student at Yale. But during his junior year, the Ohio native jumped at the chance to...
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- 01 Oct 2001
- News
Q&A: Orin Smith
engineer for Boeing. At that time there were rows and rows of engineers sitting at desks, as far as you could see — it looked like an assembly line. After six months or so, I decided I didn't want to be one...
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