Selected article for: "linear regression and standard deviation"

Author: Viktor Stojkoski; Zoran Utkovski; Petar Jolakoski; Dragan Tevdovski; Ljupco Kocarev
Title: The socio-economic determinants of the coronavirus disease (COVID-19) pandemic
  • Document date: 2020_4_17
  • ID: 80zg1rdz_28
    Snippet: Tables 2 and 3 display the respective results. In both tables, the determinants are ordered according to their posterior inclusion probabilities (PIP), given in the second column. PIP quantifies the posterior probability that a given determinant belongs to the "true" linear regression model. Besides this statistic, we also provide the the posterior mean (Post mean) and the posterior standard deviation (Post Std). Post mean is an estimate of the a.....
    Document: Tables 2 and 3 display the respective results. In both tables, the determinants are ordered according to their posterior inclusion probabilities (PIP), given in the second column. PIP quantifies the posterior probability that a given determinant belongs to the "true" linear regression model. Besides this statistic, we also provide the the posterior mean (Post mean) and the posterior standard deviation (Post Std). Post mean is an estimate of the average magnitude of the effect of a determinant, whereas the Post Std evaluates the deviation from this value.

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