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  • 1. Nonresponse adjustment procedures at the U.S. Bureau of the Census Archived
    Articles and reports: 12-001-X198600214449
    Description:

    Nearly all surveys and censuses are subject to two types of nonresponse: unit (total) and item (partial). Several methods of compensating for nonresponse have been developed in an attempt to reduce the bias associated with nonresponse. This paper summarizes the nonresponse adjustment procedures used at the U.S. Census Bureau, focusing on unit nonresponse. Some discussion of current and future research in this area is also included.

    Release date: 1986-12-15
  • 2. The maximum likelihood method for non-response in sample surveys Archived
    Articles and reports: 12-001-X198600114441
    Description:

    The analysis of survey data becomes difficult in the presence of incomplete responses. By the use of the maximum likelihood method, estimators for the parameters of interest and test statistics can be generated. In this paper the maximum likelihood estimators are given for the case where the data is considered missing at random. A method for imputing the missing values is considered along with the problem of estimating the change points in the mean. Possible extensions of the results to structured covariances and to non-randomly incomplete data are also proposed.

    Release date: 1986-06-16
  • 3. A study of the effects of imputation groups in the nearest neighbour imputation method for the National Farm Survey Archived
    Articles and reports: 12-001-X198600114444
    Description:

    A new processing system using the nearest neighbour (N-N) imputation method is being implemented for the National Farm Survey (NFS). An empirical study was conducted to determine if the NFS estimates would be affected by using imputation groups based on type of farm. For the specific imputation rule examined, the study showed evidence that the effect might be small.

    Release date: 1986-06-16
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Articles and reports (3)

Articles and reports (3) ((3 results))

  • 1. Nonresponse adjustment procedures at the U.S. Bureau of the Census Archived
    Articles and reports: 12-001-X198600214449
    Description:

    Nearly all surveys and censuses are subject to two types of nonresponse: unit (total) and item (partial). Several methods of compensating for nonresponse have been developed in an attempt to reduce the bias associated with nonresponse. This paper summarizes the nonresponse adjustment procedures used at the U.S. Census Bureau, focusing on unit nonresponse. Some discussion of current and future research in this area is also included.

    Release date: 1986-12-15
  • 2. The maximum likelihood method for non-response in sample surveys Archived
    Articles and reports: 12-001-X198600114441
    Description:

    The analysis of survey data becomes difficult in the presence of incomplete responses. By the use of the maximum likelihood method, estimators for the parameters of interest and test statistics can be generated. In this paper the maximum likelihood estimators are given for the case where the data is considered missing at random. A method for imputing the missing values is considered along with the problem of estimating the change points in the mean. Possible extensions of the results to structured covariances and to non-randomly incomplete data are also proposed.

    Release date: 1986-06-16
  • 3. A study of the effects of imputation groups in the nearest neighbour imputation method for the National Farm Survey Archived
    Articles and reports: 12-001-X198600114444
    Description:

    A new processing system using the nearest neighbour (N-N) imputation method is being implemented for the National Farm Survey (NFS). An empirical study was conducted to determine if the NFS estimates would be affected by using imputation groups based on type of farm. For the specific imputation rule examined, the study showed evidence that the effect might be small.

    Release date: 1986-06-16
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