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- W71538467 abstract "Goodness of fit pertains to statistical model assessment: it asks the question of how well a probability model, such as the normal distribution, agrees with observed data. The first objective assessment of this question goes back to Karl Pearson, writing at the end of the nineteenth century. His famous criterion involves summing over all categories the quantity observed count minus the expected count all squared and divided by the expected count. Modern approaches to this question focus on statistics using the empirical distribution function, and on the smooth tests." @default.
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- W71538467 date "2001-01-01" @default.
- W71538467 modified "2023-09-27" @default.
- W71538467 title "Goodness-of-fit Tests and Diagnostics" @default.
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- W71538467 doi "https://doi.org/10.1016/b0-08-043076-7/00437-x" @default.
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