Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...
Statistical models are built on various assumptions -- that the sample is i.i.d., that measurement errors are homoscedastic, that we should model a variable as latent instead of composite, etc. All of ...
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