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Incorporating partially identified sample segments into acreage estimation procedures: estimates using only observations from the current year
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Copyright Year | 1981 |
| Description | Several methods of estimating individual crop acreages using a mixture of completely identified and partially identified (generic) segments from a single growing year are derived and discussed. A small Monte Carlo study of eight estimators is presented. The relative empirical behavior of these estimators is discussed as are the effects of segment sample size and amount of partial identification. The principle recommendations are (1) to not exclude, but rather incorporate partially identified sample segments into the estimation procedure, (2) try to avoid having a large percentage (say 80%) of only partially identified segments, in the sample, and (3) use the maximum likelihood estimator although the weighted least squares estimator and least squares ratio estimator both perform almost as well. Sets of spring small grains (North Dakota) data were used. |
| File Size | 8807535 |
| Page Count | 78 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19820024921 |
| Archival Resource Key | ark:/13960/t40s4kx3x |
| Language | English |
| Publisher Date | 1981-12-01 |
| Access Restriction | Open |
| Subject Keyword | Earth Resources And Remote Sensing Classifications Earth Resources Program Bias Estimating Crop Inventories Monte Carlo Method Grains Food Crop Identification Agristars Project Least Squares Method North Dakota Maximum Likelihood Estimates Weighting Functions Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Technical Report |
