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  • Articles and reports: 12-001-X198900114580
    Description:

    Estimation of total numbers of hogs and pigs, sows and gilts, and cattle and calves in a state is studied using data obtained in the June Enumerative Survey conducted by the National Agricultural Statistics Service of the U.S. Department of Agriculture. It is possible to construct six different estimators using the June Enumerative Survey data. Three estimators involve data from area samples and three estimators combine data from list-frame and area-frame surveys. A rotation sampling scheme is used for the area frame portion of the June Enumerative Survey. Using data from the five years, 1982 through 1986, covariances among the estimators for different years are estimated. A composite estimator is proposed for the livestock numbers. The composite estimator is obtained by a generalized least-squares regression of the vector of different yearly estimators on an appropriate set of dummy variables. The composite estimator is designed to yield estimates for livestock inventories that are “at the same level” as the official estimates made by the U.S. Department of Agriculture.

    Release date: 1989-06-15
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  • Articles and reports: 12-001-X198900114580
    Description:

    Estimation of total numbers of hogs and pigs, sows and gilts, and cattle and calves in a state is studied using data obtained in the June Enumerative Survey conducted by the National Agricultural Statistics Service of the U.S. Department of Agriculture. It is possible to construct six different estimators using the June Enumerative Survey data. Three estimators involve data from area samples and three estimators combine data from list-frame and area-frame surveys. A rotation sampling scheme is used for the area frame portion of the June Enumerative Survey. Using data from the five years, 1982 through 1986, covariances among the estimators for different years are estimated. A composite estimator is proposed for the livestock numbers. The composite estimator is obtained by a generalized least-squares regression of the vector of different yearly estimators on an appropriate set of dummy variables. The composite estimator is designed to yield estimates for livestock inventories that are “at the same level” as the official estimates made by the U.S. Department of Agriculture.

    Release date: 1989-06-15
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