| Recursive Restriction Estimation: An Alternative to Post- Stratification in Surveys of Land and Forest Cover Contributor(s): Czaplewski (Author) |
|
 |
ISBN: 1507666179 ISBN-13: 9781507666173 Publisher: Createspace Independent Publishing Platform OUR PRICE: $15.19 Product Type: Paperback Published: February 2015 |
| Additional Information |
| BISAC Categories: - Nature | Reference |
| Physical Information: 0.07" H x 8.5" W x 11.02" (0.24 lbs) 36 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Numerous government surveys of natural resources use Post-Stratifi cation to improve statistical effi ciency, where strata are defi ned by full-coverage, remotely sensed data and geopolitical boundaries. Recursive Restriction Estimation, which may be considered a special case of the static Kalman filter, is an attractive alternative. It decomposes a complex estimation problem into simple components that are sequentially processed. Compared to Post-Stratification, it more efficiently uses remotely sensed data, both continuous and categorical. It is less constrained by sample size, which is especially important with panel surveys. It produces a conditionally unbiased covariance matrix for the vector estimate of population totals without approximations or ad hoc assumptions. This facilitates variance estimates for non-linear pseudo-estimators. A robust sequential algorithm controls numerical errors inherent with Recursive Restriction Estimator, which can otherwise cause unreliable results. Analysis of residuals can detect other anomalies. |
