Regression Estimation of Crop Acreages With Transformed Landsat Data as Auxiliary Variables
Bibliographic Data
| ID | 19418070 |
|---|---|
| Authors | Hsien-Ming Hung (Wichita State University), Wayne A Fuller (0000-0002-5744-6674, Iowa State University) |
| Year | 1987 |
| Volume | 5 |
| Issue | 4 |
| Pages | 475-482 |
| Publication date | 1987-10-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Business and Economic Statistics (JOURNAL) |
| Journal identifiers | ISSN: 0735-0015 • E-ISSN: 1537-2707 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/07350015.1987.10509616 |
| OpenAlex | W1991075422 |
| Language | EN |
| References cited | 2 |
Methods are developed for combining data collected by satellite with data collected in an area survey to estimate crop acreages. The basic procedure is that of survey regression estimation. Two methods of transforming the satellite information prior to regression estimation are compared. KEY WORDS: Sample surveyJackknife
Estimation · Regression · Regression analysis · Satellite · Small area estimation · Statistics · Agricultural Economics and Policy · Computer Science · Mathematics · Soil Geostatistics and Mapping
| Highly cited | No |
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