Complex Sample Survey Estimation in Static State-Space (Paperback) (ISBN-13: 9781506140056)

Increased use of remotely sensed data is a key strategy adopted by the Forest Inventory and Analysis Program. However, multiple sensor technologies require complex sampling units and sampling designs. The Recursive Restriction Estimator (RRE) accommodates this complexity. It is a design-consistent Empirical Best Linear Unbiased Prediction for the state-vector, which contains all suffi cient statistics for the sampled population. RRE reduces a complex estimator into a sequence of simpler estimators. Also included are model-based pseudo-estimators and multivariate Taylor series approximations for covariance matrices. Together, these provide a unifi ed approach to detailed estimation in large, complex sample surveys.

Author: Raymond L. Czaplewski
ISBN-10: 150614005X
ISBN-13: 9781506140056
Publisher: Createspace Independent Publishing Platform
Language: English
Published: 02/13/2015
Pages: 130
Format: Paperback
Weight: 0.70lbs
Size: 11.00h x 8.50w x 0.28d