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The measure of data aggregation bias for crop production risk assessment
| Content Provider | Scilit |
|---|---|
| Copyright Year | 2015 |
| Description | Crop risk assessment has been a hot issue for many years. Due to the lack of sufficient low level data, in practice, low level risk is usually measured based on large level aggregated data which will lead to data aggregation bias and risk underestimation. During the past decades, various studies have been made to explore and settle the problem of risk underestimation. In this paper, through quality and quantity analysis, two questions have been answered: (i) what factors will have an impact on the data aggregation bias and (ii) to what extent these factors can influence the risk underestimation level. Book Name: Emerging Economies, Risk and Development, and Intelligent Technology |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2014-0-37999-6&isbn=9780429226403&doi=10.1201/b18509-9&format=pdf |
| Ending Page | 60 |
| Page Count | 8 |
| Starting Page | 53 |
| DOI | 10.1201/b18509-9 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2015-05-26 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Emerging Economies, Risk and Development, and Intelligent Technology Agricultural Engineering Extent Hot Made Data Aggregation Bias Risk Assessment Crop |
| Content Type | Text |
| Resource Type | Chapter |
