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How to evaluate an excellent statistical mathematical modeling work?
Evaluation of an excellent statistical mathematical modeling work can be carried out from the following aspects:

1. problem definition: excellent works can accurately and clearly define problems, which is the first step of modeling. The definition of the problem needs to be clear and specific to avoid ambiguity and ambiguity.

2. Model construction: Model construction is the core link of modeling. Excellent works should be able to choose the appropriate model according to the characteristics of the problem, and the model construction should be rigorous and reasonable, which can accurately reflect the actual situation of the problem.

3. Parameter estimation: After the model is established, parameter estimation is needed. Excellent works should be able to choose appropriate parameter estimation methods to make the results of parameter estimation accurate and reliable.

4. Interpretation of results: Interpretation of results is an important part of the evaluation model. Excellent works should be able to reasonably explain the results of the model, so that non-professionals can understand the significance and application of the model.

5. Innovation: Excellent works are often innovative and can put forward new ideas or methods on the basis of existing research.

6. Practicality: Excellent works are not only profound in theory, but also of practical value. It can solve practical problems and provide basis for decision-making.

7. Document quality: In addition to the above points, we also need to pay attention to the document quality of the work, including the structure, language expression and chart design of the paper.