References
- Benjamini, Y., and Y. Hochberg. 1995. Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal Roy Statistical Social (B) 57:289–300.
- Chhikara, R., and L. Folks. 1989. The inverse gaussian distribution: theory, methodology and applications. New York: Marcel Dekker.
- Donoho, D., and J. Jin. 2004. Higher criticism for detecting sparse heterogeneous mixtures. Annals Statistics 32:962–94. doi:10.1214/009053604000000265.
- Efron, B. 2004. Large scale simultaneous hypothesis testing: The choice of a null hypothesis. Journal American Statistical Association 99:96–104. doi:10.1198/016214504000000089.
- Jorgensen, B., V. Seshadri, and G. Whitmore. 1991. On the mixture of the inverse Gaussian distribution with its complementary reciprocal. Scandinavian Journal Statistical 18:77–89.
- Seshadri, V. 1999. The inverse gaussian distribution: statistical theory and applications. New York: Springer.
- Siegmund, D. 1985. Sequential analysis: tests and confidence intervals. New York: Springer.
- Wu, Y. 2002. Supplementary score test for the mixture model. Commission Statistics: Theory & Method 31,:753–79. doi:10.1081/STA-120003651.
- Wu, Y. 2007. Detecting sparse signals with a large-scale of sequential probability ratio tests. Proceeding 2006 Journal Statistics Meeting, Seattle, 1253–59.
- Wu, Y. 2014. Inference after truncated one-sided sequential test. Commission Statistics: Theory & Method 45:3076–94. doi:10.1080/03610926.2014.894768.
- Wu, Y., and A. K. Gupta. 2003. Local tests in mixture exponential family. Journal Statistical Planning Information 116:421–35. doi:10.1016/S0378-3758(02)00358-0.
- Wu, Y., and Y. Xu. 2000. Local likelihood ratio tests in the normal mixture models. Statistics Problem Letter 50:323–29. doi:10.1016/S0167-7152(00)00110-3.