Selected Publications

William H. Swallow

In Statistics Journals

• Swallow, W.H. and S.R. Searle. 1978. Minimum variance quadratic unbiased estimation (MIVQUE) of variance components. Technometrics 20(3): 265-272.
• Trout, J.R. and W.H. Swallow. 1979. Regular and inverse interval estimation of individual observations using uniform confidence bands. Technometrics 21(4): 567-574.
• Swallow, W.H. 1981. Variances of locally minimum variance quadratic unbiased estimators ("MIVQUE's") of variance components. Technometrics 23(3): 271-283.
• Searle, S.R., W.H. Swallow, and C.E. McCulloch. 1984. Nontestable hypotheses in linear models. SIAM J. on Algebraic and Discrete Methods 5(4): 486-496.
• Swallow, W.H. and J.F. Monahan. l984. Monte Carlo comparison of ANOVA, MIVQUE, REML, and ML estimators of variance components. Technometrics 26(1): 47-57.
• Kianifard, F. and W.H. Swallow. 1989. Using recursive residuals, calculated on adaptively-ordered observations, to identify outliers in linear regression. Biometrics 45(2): 571-585.
• Chen, C.L. and W.H. Swallow. 1990. Using group testing to estimate a proportion, and to test the binomial model. Biometrics 46(4): 1035-1046.
• Kianifard, F. and W.H. Swallow. 1990. A Monte Carlo comparison of five procedures for identifying outliers in linear regression. Commun. Statist.-- Theory Meth. 19(5): 1913-1938.
• Hughes-Oliver, J. M. and W. H. Swallow. 1994. A two-stage adaptive group-testing procedure for estimating small proportions. J. Amer. Statist. Assoc. 89: 982-993.
• Chen C.L. and W.H. Swallow. 1995. Sensitivity analysis of variable-size group testing and its related continuous models. Biometrical J. 2: 173-181.
• Kianifard, F. and W.H. Swallow. 1996. A review of the development and application of recursive residuals in linear models. J. Amer. Statist. Assoc. 91: 391-400.
• Swallow, W. H. and F. Kianifard. 1996. Using robust scale estimates in detecting multiple outliers in linear regression. Biometrics 52: 545-556.
• Swallow, W. H. 1997. Using recursive residuals, perhaps with robust scale estimates, in detecting multiple outliers in linear regression. Proceedings of the Conference in Honor of Shayle R. Searle, Biometrics Unit, Cornell University, pp. 53-75.
• Hung, M. and W. H. Swallow. 1999. Robustness of group testing in the estimation of proportions. Biometrics 55(1): 231-237.
• Hung, M. and W. H. Swallow. 2000. Use of binomial group testing in tests of hypotheses for classification or quantitative covariables. Biometrics  56(1):  204-212.
• Tebbs, J. M. and W. H. Swallow.  2003.  Estimating ordered binomial proportions with the use of group testing.  Biometrika  90(2): 471-477.
  
• Tebbs, J. M. and W. H. Swallow.  2003.  More powerful likelihood ratio tests for isotonic binomial proportions.  Biometrical J. 45(5): 618-630.
  

In Other Subject-Matter Journals

• Swallow, W.H. 1981. Statistical approaches to studies involving perennial crops. HortScience 16(5):634-636.
• Swallow, W.H. 1984. Those overworked and oft-misused mean separation procedures -- Duncan's, lsd, etc. Plant Disease 68(10): 919-921. (Invited)
• Swallow, W.H. 1985. Group testing for estimating infection rates and probabilities of disease transmission. Phytopathology 75(8): 882-889.
• Swallow, W.H. and T.C. Wehner. 1986. Optimum plot size determination and its application to cucumber yield trials. Euphytica 35(2): 421-432.
• Swallow, W.H. 1987. Relative mean squared error and cost considerations in choosing group size for group testing to estimate infection rates and probabilities of disease transmission. Phytopathology 77(10): 1376-1381.
• Swallow, W.H. and T.C. Wehner. 1989. Optimum allocation of plots to years, seasons, locations, and replications, and its application to once-over-harvest cucumber trials. Euphytica 43: 59-68.