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Handling missing data in consumer hedonic tests arising from direct scaling

  • Published:2016-11-15 Issue:6 Volume:31 Page:514-523
  • ISSN:0887-8250
  • Container-title:Journal of Sensory Studies
  • language:en
  • Short-container-title:J Sens Stud

Author:

Franczak Brian C.1,Castura John C.2ORCID,Browne Ryan P.3,Findlay Christopher J.2,McNicholas Paul D.4

Affiliation:

1. Department of Mathematics & Statistics; MacEwan University; Edmonton Alberta Canada

2. Compusense Inc; Guelph Ontario Canada

3. Department of Statistics & Actuarial Science; University of Waterloo; Waterloo Ontario Canada

4. Department of Mathematics & Statistics; McMaster University; Hamilton Ontario Canada

Publisher

Wiley

Subject

Sensory Systems,Food Science

Reference70 articles.

1. Working with missing values;Acock;Journal of Marriage Family,2005

2. Missing observations in multivariate statistics i. Review of the literature;Afifi;Journal of American Statistical Association,1966

3. Maximum likelihood estimates for a multivariate normal distribution when some observations are missing;Anderson;Journal of American Statistical Association,1957

4. A review of hot deck imputation for survey non-response;Andridge;International Statistical Review,2010

5. Incomplete block designs for the minimisation of order and carry-over effects in sensory analysis;Ball;Food Quality and Preference,1997

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