Recursive Restriction Estimation: An Alternative to Post- Stratification in Surveys of Land and Forest Cover (Paperback) (ISBN-13: 9781507666173)

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.

Author: Czaplewski
ISBN-10: 1507666179
ISBN-13: 9781507666173
Publisher: Createspace Independent Publishing Platform
Language: English
Published: 02/14/2015
Pages: 36
Format: Paperback
Weight: 0.24lbs
Size: 11.02h x 8.50w x 0.07d