Visual Sample Plan (VSP): A Tool for Balancing Sampling Requirements Against Decision Error Risk
نویسندگان
چکیده
Environmental characterization is necessary to support remediation and monitoring decisions and to construct and validate contaminant dispersion models. The more samples obtained, the greater is the protection against making incorrect decisions. However, taking too many samples wastes valuable resources. The US Environmental Protection Agency has developed several guidance documents on the Data Quality Objectives process to support systematic planning of data gathering campaigns to ensure that the right type, quality, and quantity of data are obtained to support confident decision making. Visual Sample Plan (VSP) is a publicly available software tool sponsored by the US Department of Energy, US Environmental Protection Agency, and the US Department of Defence to support environmental characterization and confident decisions. VSP helps the user determine the optimal number and location of samples using defensible statistical sampling design methods and displays those locations on maps or aerial photos. Sample coordinates can be output for use with GPS systems. An automatic report summarizing the assumptions and parameter inputs is generated and can be included in a sampling and analysis plan. VSP features and capabilities will be outlined in this paper. VSP can be downloaded at no cost from http://dqo.pnl.gov/vsp.
منابع مشابه
Designing different Sampling Plans Based on Process Capability Index
Acceptance sampling plan is a method to make decision on either accepting or rejecting a specific lot or more generally to inspect the quality of products that can be used by different methods. Along with this, one suitable measure to improve manufacturing processes is to analyze process capability indices. These indices have many applications in production environments. In this paper, a repeti...
متن کاملApplication of Fuzzy Analytical Hierarchy Process and Quality Function Deployment Techniques for Supplier's Assessment
Abstract Vendor Selection Problem (VSP) has been considered in this paper as an integrated method of Fuzzy Analytic Hierarchy Process (FAHP) and Quality Function Deployment (QFD) in the pharmaceutical company. In QFD method, determining the importance of the "weights" for the customer requirements is an essential and crucial issue. FAHP has been used to determine the importance of the "we...
متن کاملDevelopment and Demonstration of a Method to Evaluate Bio-Sampling Strategies Using Building Simulation and Sample Planning Software
In an effort to validate and demonstrate response and recovery sampling approaches and technologies, the U.S. Department of Homeland Security (DHS), along with several other agencies, have simulated a biothreat agent release within a facility at Idaho National Laboratory (INL) on two separate occasions in the fall of 2007 and the fall of 2008. Because these events constitute only two realizatio...
متن کاملSample Size Calculations for Population Size Estimation Studies Using Multiplier Methods With Respondent-Driven Sampling Surveys
BACKGROUND While guidance exists for obtaining population size estimates using multiplier methods with respondent-driven sampling surveys, we lack specific guidance for making sample size decisions. OBJECTIVE To guide the design of multiplier method population size estimation studies using respondent-driven sampling surveys to reduce the random error around the estimate obtained. METHODS Th...
متن کاملLot sampling plans in the measure of quality of care indicators.
OBJECTIVE Application of the lot sampling technique to measure indicators of quality of care on screening activities directed toward women: detection of risk factor for cardiovascular diseases, screening for breast cancer and for cervical cancer. DESIGN The sampling plan adopted involved, in each centre, a sample size of 15 and a maximum of four non-compliers that the random sample would tole...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2004