Optimal design for double sampling with continuous outcomes
作者： Ori Davidov , Yoel Haitovsky
DOI: 10.1016/S0378-3758(99)00160-3
关键词: Optimal design 、 Sample size determination 、 Cluster sampling 、 Statistics 、 Mathematical optimization 、 Stratified sampling 、 Double sampling 、 Sampling design 、 Outcome (probability) 、 Simple linear regression 、 Mathematics
摘要: We provide a method for finding the optimal double sampling plan estimating mean value of continuous outcome. It is assumed that fallible and true outcome data are related by simple linear regression model. The design parameters total sample size, N, number doubly sampled units n. show under certain conditions efficiency gains, relative to standard plans considerable.
elsevier.com
sci-hub.se 参考文章(20)
JUNI PALMGREN, Precision of double sampling estimators for comparing two probabilities Biometrika. ,vol. 74, pp. 687- 694 ,(1987) , 10.1093/BIOMET/74.4.687
Donald F. Morrison, Expectations and Variances of Maximum Likelihood Estimates of the Multivariate Normal Distribution Parameters with Missing Data Journal of the American Statistical Association. ,vol. 66, pp. 602- 604 ,(1971) , 10.1080/01621459.1971.10482314
Aaron Tenenbein, A Double Sampling Scheme for Estimating from Misclassified Multinomial Data with Applications to Sampling Inspection Technometrics. ,vol. 14, pp. 187- 202 ,(1972) , 10.1080/00401706.1972.10488895
Heleno Bolfarine, Shelemyahu Zacks, Prediction Theory for Finite Populations ,(1992)
Aaron Tenenbein, A Double Sampling Scheme for Estimating from Binomial Data with Misclassifications Journal of the American Statistical Association. ,vol. 65, pp. 1350- 1361 ,(1970) , 10.1080/01621459.1970.10481170
M. ZELEN, Y. HAITOVSKY, Testing hypotheses with binary data subject to misclassification errors: Analysis and experimental design Biometrika. ,vol. 78, pp. 857- 865 ,(1991) , 10.1093/BIOMET/78.4.857
M. E. Thompson, Theory of Sample Surveys ,(1997)
Rahul Mukerjee, Arijit Chaudhuri, Asymptotic optimality of double sampling plans employing generalized regression estimators Journal of Statistical Planning and Inference. ,vol. 26, pp. 173- 183 ,(1990) , 10.1016/0378-3758(90)90125-E
H. ZHOU, M. S. PEPE, Auxiliary covariate data in failure time regression Biometrika. ,vol. 82, pp. 139- 149 ,(1995) , 10.1093/BIOMET/82.1.139
T. W. Anderson, Maximum Likelihood Estimates for a Multivariate Normal Distribution when Some Observations are Missing Journal of the American Statistical Association. ,vol. 52, pp. 200- 203 ,(1957) , 10.2307/2280845