@article{Chatfield:127355,
      recid = {127355},
      author = {Chatfield, Mark and Mander, Adrian P.},
      title = {The Skillings–Mack test (Friedman test when there are  missing data)},
      journal = {Stata Journal},
      address = {2009},
      number = {199-2016-2408},
      pages = {7},
      year = {2009},
      abstract = {The Skillings–Mack statistic (Skillings and Mack, 1981,  Technometrics 23: 171–177) is a general Friedman-type  statistic that can be used in almost any block design with  an arbitrary missing-data structure. The missing data can  be either missing by design, for example, an incomplete  block design, or missing completely at random. The  Skillings–Mack test is equivalent to the Friedman test when  there are no missing data in a balanced complete block  design, and the Skillings–Mack test is equivalent to the  test suggested in Durbin (1951, British Journal of  Psychology, Statistical Section 4: 85–90) for a balanced  incomplete block design. The Friedman test was implemented  in Stata by Goldstein (1991, Stata Technical Bulletin 3:  26–27) and further developed in Goldstein (2005, Stata  Journal 5: 285). This article introduces the skilmack  command, which performs the Skillings–Mack test.},
      url = {http://ageconsearch.umn.edu/record/127355},
      doi = {https://doi.org/10.22004/ag.econ.127355},
}