Prediction and standard error estimation for a finite universe total when a stratum is not sampled
In the context of a universe of trucks operating in the United States in 1990, this paper presents statistical methodology for estimating a finite universe total on a second occasion when a part of the universe is sampled and the remainder of the universe is not sampled. Prediction is used to compensate for the lack of data from the unsampled portion of the universe. The sample is assumed to be a subsample of an earlier sample where stratification is used on both occasions before sample selection. Accounting for births and deaths in the universe between the two points in time, the detailed sampling plan, estimator, standard error, and optimal sample allocation, are presented with a focus on the second occasion. If prior auxiliary information is available, the methodology is also applicable to a first occasion.
- Research Organization:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- Department of Transportation, Washington, DC (United States)
- DOE Contract Number:
- AC05-84OR21400
- OSTI ID:
- 10113638
- Report Number(s):
- ORNL/TM-12379; ON: DE94004929; TRN: AHC29402%%66
- Resource Relation:
- Other Information: PBD: Jan 1994
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
TRUCKS
PROBABILISTIC ESTIMATION
SURVEYS
SAMPLING
ROAD TRANSPORT
TIME DEPENDENCE
GEOGRAPHICAL VARIATIONS
LEAST SQUARE FIT
320203
990200
LAND AND ROADWAY
MATHEMATICS AND COMPUTERS