Q-3. What do you mean by term "goodness to fit test"? What for the said test is required
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Answer:
A goodness-of -fit test refers to the measurement of how well observed data matches the assumed or the fitted model.
Step-by-step explanation:
The goodness-of-fit test is used in statistics to measure the extent of divergence or closeness of a given model to the actual observed values.
Here are the test that make use of this method to calculate the extent to which a certain set of data fit a model:
- Kolmogorov–Smirnov test
- Cramér–von Mises criterion
- Anderson–Darling test
- Shapiro–Wilk test
- Chi-squared test
- Akaike information criterion
- Hosmer–Lemeshow test
- Kuiper's test
- kernelized Stein discrepancy[1]
- Zhang's ZK, ZC and ZA tests[2]
- Moran test
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