-
作者：GANESALINGAM, S; MCLACHLAN, GJ
-
作者：PHADKE, MS; KEDEM, G
作者单位：University of Rochester
-
作者：ALI, MM
-
作者：LAIRD, NM
作者单位：Harvard University
摘要：An empirical Bayes method for smoothing 2-way tables is presented. It is based on the use of the log linear model and a normal prior distribution. Estimation of the variance component in the prior is discussed, and 2 approximations are considered, 1 which utilizes the EM [expectation maximization] algorithm.
-
作者：MCKEAN, JW; HETTMANSPERGER, TP
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
-
作者：RIPLEY, BD; SILVERMAN, BW
作者单位：University of Oxford
-
作者：SILVEY, SD
-
作者：KOZIOL, JA; PETKAU, AJ
摘要：Sequential procedures based on the modified Savage statistic are proposed for testing the equality of 2 survival distributions when observations are singly censored. Asymptotic properties, including expected sample sizes and power against contiguous exponential scale shift alternatives, are examined. Comparison is made with procedures based on a modified Mantel-Haenszel statistic (Muenz et al., 1977).
-
作者：BANCROFT, GA; DUNSMORE, IR
摘要：Sequential tests that are based on some unobservable parameter were well investigated using both classical and Bayesian approaches. The Bayesian predictive density function is used to construct a sequential test that is based on some statistic of a future sample, and the performance of such a test for exponentially distributed lifetimes is investigated.
