Estimating the Population in a Census Year 1980 and beyond

Ericksen, Eugene P.; Kadane, Joseph B.

doi:10.1080/01621459.1985.10477140

Cited by 25 publications

(26 citation statements)

References 15 publications

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“…He assumes also that marginally B, R and III are independently distributed. Our model is not comparable to that of Fay and Herriot (1979) or Ericksen and Kadane (1985Kadane ( , 1987. In their framework, observations need not be available at the unit level, that is the individual Yij 's need not be available to the statistician.…”

Section: The General Hb Modelmentioning

confidence: 90%

A Hierarchical Bayes Approach to Small Area Estimation with Auxiliary Information

Ghosh

Lahiri²

1992

Bayesian Analysis in Statistics and Econometrics

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Small area estimation is becoming increasingly popular in survey sampling. Agencies of the Federal Government have been involved in obtaining estimates of population counts, unemployment rates, per capita income, crop yields and so forth for state and local government areas. In many instances, only a few samples are available from an individual area, and an estimate of a certain area mean, or simultaneous estimates of several area means can be improved by incorporating information from similar neighboring areas.The present paper introduces a hierarchical Bayes model incorporating auxiliary information in the context of small area estimation. One advantage of the hierarchical Bayes procedure over a classical empirical Bayes procedure is that not only can we obtain good point estimates of the small area means, but also it is possible to obtain good estimates of their variability as well.

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Section: The General Hb Modelmentioning

confidence: 90%

A Hierarchical Bayes Approach to Small Area Estimation with Auxiliary Information

Ghosh

Lahiri²

1992

Bayesian Analysis in Statistics and Econometrics

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“…For example, college students, members of the armed forces, and persons Downloaded by [Selcuk Universitesi] at 01:53 26 December 2014 counts and theory and methods to be used for that purpose have been matters of hotly contested disputes in the court cases involving expert testimony from numerous leading statisticians and demographers. A recent article by Ericksen and Kadane [2] with comments thereon from other leading statisticians and demographers detail the theoretical and practical issues from both sides of the controversy. Whatever approach the Census Bureau adopts for adjustment, it is always subject to strong criticisms from some sectors.…”

Section: Exactitude In Censusmentioning

confidence: 98%

What is a census?

Sahai

1988

International Journal of Mathematical Education in Science and

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“…Fay and Herriot (1979), Battese and Fuller (1981), Ericksen and Kadane (1985), Stroud (1987), Demp ster and Raghunathan (1987), Prasad and Rao (1986), and Casella and Strang (1987).…”

Section: Descriptionmentioning

confidence: 99%

“…In this case the conditional distribution of xv and y given /3, s, and is MVN with mean vector and covariance matrix given by (3.1), and if 7r2 (7) oc (^^^ (7) The HB approach is described, in the context of various special cases of the fixedeffects version of (1.8), by Ericksen and Kadane (1985), Ghosh and Lahiri (1988), and Datta and Ghosh (1989). This approach differs from the Bayesian approach to the mixed-effects model only in the way in which the distribution of s is regarded.…”

Section: Hierarchical Bayes Approachmentioning

confidence: 99%

Some Bayesian and Non-Bayesian Procedures for the Analysis of Comparative Experiments and for Small-Area Estimation: Computational Aspects, Frequentist Properties, and Relationships

Hulting

Harville

1991

Journal of the American Statistical Association

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Hulting, Frederick Landis, "Some Bayesian and non-Bayesian procedures for the analysis of comparative experiments and for smallarea estimation: computational aspects, frequentist properties, and relationships " (1989 INFORMATION TO USERSThe most advanced technology has been used to photo graph and reproduce this manuscript from the microfilm master. UMI films the text directly from the original or copy submitted. Thus, some thesis and dissertation copies are in typewriter face, while others may be from any type of computer printer.The quality of this reproduction is dependent upon the quality of the copy submitted. Broken or indistinct print, colored or poor quality illustrations and photographs, print bleedthrough, substandard margins, and improper alignment can adversely affect reproduction.In the unlikely event that the author did not send UMI a complete manuscript and there are missing pages, these will be noted. Also, if unauthorized copyright material had to be removed, a note will indicate the deletion.Oversize materials (e.g., maps, drawings, charts) are re produced by sectioning the original, beginning at the upper left-hand corner and continuing from left to right in equal sections with small overlaps. Each original is also photographed in one exposure and is included in reduced form at the back of the book. These are also available as one exposure on a standard 35mm slide or as a 17" x 23" black and white photographic print for an additional charge.Photographs included in the original manuscript have been reproduced xerographically in this copy. Higher quality 6" x 9" black and white photographic prints are available for any photographs or illustrations appearing in this copy for an additional charge. Contact UMI directly to order.

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Estimating the Population in a Census Year 1980 and beyond

Cited by 25 publications

References 15 publications

A Hierarchical Bayes Approach to Small Area Estimation with Auxiliary Information

A Hierarchical Bayes Approach to Small Area Estimation with Auxiliary Information

What is a census?

Some Bayesian and Non-Bayesian Procedures for the Analysis of Comparative Experiments and for Small-Area Estimation: Computational Aspects, Frequentist Properties, and Relationships

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