No dataset available.

The dataset to support the journal article was generated by a cooperative non-EPA research organization. Readers may inquire underlying dataset from the corresponding author as specified in the journal article. This dataset is not publicly accessible because: EPA cannot release CBI, or data protected by copyright, patent, or otherwise subject to trade secret restrictions. Request for access to CBI data may be directed to the dataset owner by an authorized person by contacting the party listed. It can be accessed through the following means: The corresponding author of the paper, as noted in the journal article, can provide datasets upon request. Format: The dataset to support the journal article was generated by a cooperative non-EPA research organization. No further information on dataset format and status is available. This dataset is associated with the following publication: Shao, Y., K. Li, T. Zhang, J. Yang, and S. Chu. Modeling of Truncated Normal Distribution for Estimating Hydraulic Parameters in Water Distribution Systems - Taking Nodal Water Demand as an Example. Journal of Hydroinformatics. IWA Publishing, London, UK, 25(5): 2053–2068, (2023).

                                            [
  "020:00"
]
                                        

                                            {
  "fn": "Yingping Yang",
  "hasEmail": "mailto:yang.jeff@epa.gov"
}
                                        

                                            []
                                        

                                            [
  "Bayesian framework",
  "Parameter Estimation",
  "Truncated Normal Distribution",
  "Water Distribution System"
]
                                        

                                            [
  "020:000"
]
                                        

                                            {
  "name": "U.S. EPA Office of Research and Development (ORD)",
  "subOrganizationOf": {
    "name": "U.S. Environmental Protection Agency",
    "subOrganizationOf": {
      "name": "U.S. Government"
    }
  }
}
                                        

                                            [
  "https://doi.org/10.2166/hydro.2023.250"
]