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- R Valliant, A H Dorfman, R M Royall
- 2011

Webpage https://ctools.umich.edu/portal Class notes and datasets will be posted here. Print the notes each week before coming to class. See the last page of this syllabus for instructions on how to establish a " Friend " account at UMich that will allow you to use Ctools. Office Hours by appointment Your questions will usually be most quickly answered by… (More)

- Robert Cage, John Greenlees, Patrick Jackman, Ralph Bradley, David Scott Johnson, Joshua Klick +9 others
- 2003

Particular thanks are also due to Erwin Diewert for his insights on superlative index design problems, without assigning him any responsibility for the choices ultimately made for the C-CPI-U. Finally, credit for many of the analyses reported in the paper goes to the Superlative Design Team of the Bureau of Labor Statistics:Abstract Introducing the Chained… (More)

- Alan H Dorfman, Richard Valliant, E M H H H Y X = Β Β
- 1997

Stratification is one of the most widely used techniques in finite population sampling. Strata are disjoint subdivisions of a population, the union of which exhaust the universe, each of which contains a portion of the sample. Two of its essential statistical purposes are to: (1) allow for efficient estimation, especially in the case of stratification by… (More)

- R L Chambers, A H Dorfman, Suojinwang
- 2002

The authors dedicate this paper to Richard Royall in this year of his retirement, for the profound influence of his thought on survey sampling. In the present work we explicate the application of maximum likelihood inference in the analysis of surveys which are the result of (possibly informative) stratified sampling. In Section 1 we review basic ideas,… (More)

- Michail Sverchkov, Alan H Dorfman, Lawrence R Ernst, Christopher J Guciardo
- 2005

Any opinions expressed in this paper are those of the authors and do not necessarily constitute policy of the Bureau of Labor Statistics

In this paper we consider variance estimation for population totals and ratios in complex, cross-stratified surveys in which the ultimate sampling weights are random variables, dependent on the first phase of sampling. A new hybrid variance estimator, dependent on both model-based and design-based ideas, is introduced. Theoretical and empirical… (More)

- Daniel Yorgason, Benjamin Bridgman, Yang Cheng, Alan H Dorfman, Janice Lent, Yan K Liu +1 other
- 2011

Disclaimer: Opinions expressed in this paper are those of the authors and do not constitute policy of the U.S. government or of the agencies listed above. 1. Introduction Government policy makers, economic analysts, and the general public rely heavily on data gathered from federal establishment surveys for information on the U.S. economy. All data… (More)

- Michail Sverchkov, Alan H Dorfman, Lawrence R Ernst, Thomas G Moerhle, Steven P Paben, Chester H Ponikowski
- 2005

- Robert J Casady, Alan H Dorfman, Suojin Wang
- 1998

Let A be a population sub-domain of interest and assume that the elements of A cannot be identified on the sampling frame and the number of elements in A is not known. Further assume that a sample of fixed size (say n) is selected from the entire frame and the resulting sub-domain sample size (say n A) is random. The problem addressed is the construction of… (More)