Type I and Type II errors
Type I error, also known as a “false positive”: the error of rejecting a null hypothesis when it is actually true. So the probability of making a type I error in a test with rejection region R is
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相关文章
- 1. permute I and II
- 2. Go-Practice-interface and type
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- 5. no suitable HttpMessageConverter found for response type and content type
- 6. RuntimeError: Input type (torch.cuda.ByteTensor) and weight type (torch.cuda.FloatTensor) should be
- 7. Type mismatch affecting row number 0 and column type 'NUMBER'
- 8. Type II – NR Dynamic HARQ Feedback
- 9. immutable and mutable type in Python
- 10. Basic data type and String in Java