Nada Ganesh and Fritz Scheuren WSS September 24 2014 Snacks and Knacks About the Talk Title Application History First Information Theory too Rakings Roles in Surveys Some Examples Handout ID: 309744
Download Presentation The PPT/PDF document "Rake’s Progress Revisited" is the property of its rightful owner. Permission is granted to download and print the materials on this web site for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.
Slide1
Rake’s Progress Revisited
Nada Ganesh and Fritz Scheuren
WSS
September 24, 2014Slide2
Snacks and Knacks
About the Talk Title?
Application History First!
Information Theory too?
Raking’s Roles in Surveys
?
Some Examples (Handout)?
More Snacks and Knacks?
Wraps and Conjectures
!Slide3
Why Call
Algorithm
Raking?
Maybe a Lofty Origin?
Perhaps a 1951 opera by Stravinsky inspired by 1733-5 engravings by Hogarth
Or
maybe a
Humbler
Origin!
The Dairy Farm
Rake
?
What is Your Guess?Slide4
Basic Raking Algorithm
Repeated Ratio-
ing
“r’ of a (Weighted) sample total “t” to a control total “T as in “r=T/t”
Total by Total repeatedly until all the adjusted sample totals “t” were as close as wanted to “T”Slide5
Application History First!
The Pre-1940 Period
The 1940 Deming-Stephan AMS Paper to align Survey/Census
Not Widely used in 1940 Census? Because of WWII!
Regularly Forgotten/Recovered Slide6
Information Theory too?
Kullback
“
Kully” and Ireland “Terry’s”Proof
of Convergence
From Calculus a Bounded Monotonic Series Converges
Information Theory Affirms this
When Constraints are ConsistentSlide7
Raking’s Roles in Surveys?
Aligning to Agreed upon Control totals – aka Calibration
--
Variance
reduction -- Bias Correction MSE?
Hand-waving but Maybe harmful Sometimes because unit basedSlide8
More Snacks and Knacks?
Convergence Practices and Possible Improvements
Variable Bounds on Dimensions
Iterating Worst Dimensions First
Early/Differential Stopping Rules“Family” Harmonic Adjustments Slide9
More Application Settings
Chip Alexander and CPS/ACS
Survey and Administrative Linked Files (CPS/IRS/SSA)
File Alignment before Raking?
Reducing Impact on Linkage Errors (Maybe both Variance/Bias
)Slide10
Two Examples
Geometric Family Weight Example (
Ganish
)
Changing Convergence Algorithm to Quicken Speed (
Ganish
)
Role for Synthetic Estimation (Phil?)Slide11
Wraps and Conjectures!
A Multi-Use Tool, Like Pliers
Computational Barriers long
since gone
More work on Diagnostics needed thoughMore work on multiple weightsSlide12
Many, Many, Many Thanks