Goodness-of-fit testing is a cornerstone of statistical methodology, providing robust means to assess whether empirical data align with a hypothesised distribution. Such tests underpin diverse ...

Two interesting processes, related to the empirical distribution function, have been pointed out by Rao (1972) and by Durbin (1973). The second, in particular, leads to the half-sample method, an ...

Several new test procedures are proposed for assessing the goodness of fit of a postulated multinomial distribution. The new tests are Neyman smooth-type tests with orders selected adaptively from the ...

Learn what residual standard deviation is, how to calculate it in regression analysis, and why it's crucial for measuring predictability and goodness-of-fit in data modeling.

Goodness-of-fit testing forms a fundamental pillar in statistical methodology, providing robust tools to assess whether observed data conform to a proposed probability distribution. These tests are ...