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- 26 Jan 2010
- First Look
First Look: Jan. 26
between 1995 and 2007. Multiple linear regression analyses were conducted to determine the relative impact of key factors on operative time. Explanatory learning curve models were generated, and complication...
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Keywords:
Martha Lagace
- Web
Data Tips & Toolkits - Research Computing Services
probabilistic record linkage model that allows for missing data and the inclusion of auxiliary information: https://cran.r-project.org/web/packages/fastLink/index.html. Machine Learning R Caret package, short for “Classification and View Details
- 18 Mar 2008
- First Look
First Look: March 18, 2008
beverages, and after verifying the similarity of their responses, we generated a model that calculates the expected average healthiness rating that experts would give to any other product based on its nutrient content. Results—The form of the model is a View Details
Keywords:
Martha Lagace
- 19 Dec 2006
- First Look
First Look: December 19, 2006
series models within the context of a single-stage stochastic inventory system with periodic review, constant leadtimes, infinite supply, full backlogging, linear holding and penalty costs and no ordering costs. Forecasting ARIMA time...
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Sean Silverthorne
- 10 Apr 2018
- First Look
First Look at New Research, April 10, 2018
that occurred near the end of their time at university (2 or 3 years later). Linear regression models showed that students who made more friends in their first term reported better health and a healthier...
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Keywords:
Sean Silverthorne
- 01 Feb 2011
- First Look
First Look: Feb. 1
transformations were homologically related to changes in the prevailing mode of governance in the American economy: business schools became essential sites for the development of tools and methods (e.g., input-output approaches, linear...
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- Web
Print View - Course Catalog
tests, we will determine if differences across different groups in the sample (e.g., the two sets of customers in an A/B test) are due to random fluctuations or systematic differences in the underlying populations. We will also use View Details