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  • All HBS Web  (27)
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  • All HBS Web  (27)
    • News  (1)
    • Research  (21)
    • Events  (1)
  • Faculty Publications  (14)
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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
  • 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... View Details
Keywords: Martha Lagace
  • 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... View Details
Keywords: 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... View Details
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... View Details
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