Explanatory capabilities of previous year rainfall and population size for variance in births and deaths as indicated by model selection procedures.

<p><i>AIC</i>_<i>i</i> is the Akaike Information Criterion value for candidate model <i>i</i>. For each variable, we considered three candidate models that included combinations of rainfall and population size. <i>∆</i>_<i>i</i> represent the difference in <i>AIC</i>_<i>i</i> with the minimum <i>AIC</i>_<i>i</i> noted for candidate models. Models have a high likelihood (<i>L</i>_<i>i</i>) and weight of evidence (<i>w</i>_<i>i</i>) when <i>∆</i>_<i>i</i>>2. We highlight in bold candidate models with greatest weight of evidence.</p><p>Explanatory capabilities of previous year rainfall and population size for variance in births and deaths as indicated by model selection procedures.