@article{Anibal:11038,
      recid = {11038},
      author = {Anibal, Mark E.},
      title = {ESTIMATION OF CROP YIELD VARIATION AND ITS USE IN FARM  FINANCIAL PLANNING},
      address = {1989},
      number = {1097-2016-88663},
      series = {Graduate Research Master's Degree Plan B Papers},
      pages = {196},
      year = {1989},
      abstract = {Actual farm records were used to evaluate variation of  crop yields for corn, wheat, and soybeans grown in  Michigan.  The assumption of yields being normally  distribute with independent and constant variance was  tested for all farms, farms characterized by soil  groupings, and individual farms of a selected soil  group.
	Sufficient evidence was not found to reject the  assumption that yield variation is normally distributed  with independent and constant variance when all farms were  grouped together.  Grouping farms by soil potential showed  strong support for yields being independent and normally  distributed.
	The assumption of constant variance had  strong support for wheat, but was weak for corn.  Analysis  of individual farms for a selected soil group, suggested  that farms having data sets with significant amounts of  negative kurtosis or negative outliers could be better  modeled by alternative distributions.
	Estimates for yield  variation parameters were incorporated into planning tools  used for predictive analysis.},
      url = {http://ageconsearch.umn.edu/record/11038},
      doi = {https://doi.org/10.22004/ag.econ.11038},
}