This document discusses techniques for efficiently processing range aggregate queries when the query location is uncertain. It proposes two novel filtering techniques, statistical filtering and anchor point filtering, to address the limitations of existing probabilistic constrained region techniques. The statistical filtering technique has decent filtering power with minimal storage requirements, while anchor point filtering provides more flexibility to enhance filtering power by storing more pre-computed information. Extensive experiments demonstrate the efficiency of the proposed techniques for computing range aggregates over uncertain location-based queries.