Null hypothesis significance tests. A mix-up of two different theories: the basis for widespread confusion and numerous misinterpretations
Author:
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Computer Science Applications,General Social Sciences
Link
http://link.springer.com/content/pdf/10.1007/s11192-014-1251-5.pdf
Reference106 articles.
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4. Anderson, D. R., Burnham, K. P., & Thompson, W. L. (2000). Null hypothesis testing: Problems, prevalence, and an alternative. Journal of Wildlife Management, 64, 912–923.
5. Armstrong, J. S. (2007). Significance tests harm progress in forecasting. International Journal of Forecasting, 23(2), 321–327.
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