Effects of violating the assumptions of equal variance and independent and identically distributed random variables: A case using {B}ayesian statistical modeling
Sawada, Tadamasa · DOAJ Open Access Articles
All statistical methods involve assumptions about the data and the output of the methods can be biased when the assumptions are not supported by the data. One of the common assumptions is equal variance across the conditions. Another common assumption is that variables are independently sampled from identically distributed populations (i.i.d.). The present s…
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