Crossing boundaries: statistical essays in honor of Jack Hall
Editor: John E. Kolassa
Editor: David Oakes
Lecture Notes--Monograph Series, Volume 43
Beachwood, OH: Institute of Mathematical Statistics, 2003.
238 pp.
Subjects:
62-06 (primary)Mathmatical Reviews number (MathSciNet): MR2125042
ISBN:0-940600-58-7
Copyright © 2003, Institute of Mathematical Statistics.
Sequential Analysis
Testing for a treatment-by-stratum interaction in a sequential clinical trial
Benjamin Yakir, and W. J. Hall; 1-12
Bias of estimates of secondary parameters in linear-boundary sequential tests
Vladimir Dragalin, Benjamin Yakir, and W. J. Hall; 13-28
Asymptotic design of general triangular stopping boundaries for Brownian motion
Peng Huang; 29-46
A simple low-bias estimate following a sequential test with linear boundaries
Aiyi Liu; 47-58
ROC Curve Analysis
A goodness-of-fit test for a receiver operating characteristic curve from continuous diagnostic test data
Kelly H. Zou, Joseph L. Gastwirth, and Barbara J. McNeil; 59-68
Semiparametric Inference
Efficient estimation in a semiparametric heteroscedastic autoregressive model
Anton Schick; 69-86
Gaussian white noise models: some results for monotone functions
Jon A. Wellner; 87-104
Inference for the proportional mean residual life model
David Oakes, and Tamraparni Dasu; 105-116
Bayesian inference for survival data with a surviving fraction
Debajyoti Sinha, Ming-Hui Chen, and Joseph G. Ibrahim; 117-138
Saddlepoint Approximations
Continuity correction for the score statistic in discrete regression models
John E. Kolassa; 139-148
Saddlepoint approximations of the two-sample Wilcoxon statistic
Rungao Jin, and John Robinson; 149-158
Estmation Theory
A class of parameter functions for which the unbiased estimator does not exist
Shande Chen; 159-164
The sample size for estimating the binomial parameter with a given margin of error
B. K. Ghosh, and Wei-Min Huang; 165-182
On a binomial admissibility problem in honor of Jack Hall on his 70th birthday
J. H. B. Kemperman; 183-196
Linear Models and Analysis of Variance
The fundamental theorem of least squares: its relevance to experimental design and Bayesian inference
Heng Li, and Alan Zaslavsky; 203-208
Data Mining and Applications
Challenges in the information sciences for statisticians
Siddhartha R. Dalal; 209-216
Forecasting health care expenditures and utilization based on a Markov process and a deterministic cost function in managed care settings
Charles R. McGhee, Jay H. Glasser, Wenyaw Chan, and Nancy Pomeroy; 229-238
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