IMPROVING PROJECT SCHEDULE ESTIMATES USING HISTORICAL DATA AND SIMULATION
نویسندگان
چکیده
منابع مشابه
Improving Size Estimates Using Historical Data
business objects (Obj) 16 Basic abstract geoscience business objects, including projects, wells, well logs, markers, zones, and seismic data Concrete business object input/output (I/O) 15 Concrete input/output behaviors for abstract business object persistence mechanisms Data import/export filters (Filter) 14 Abstract factories, strategies, and GUI components for importing and exporting “foreig...
متن کاملHistorical isotope simulation using Reanalysis atmospheric data
[1] In this paper we present a multidecadal and global three-dimensional stable water isotope data set. This is accomplished by incorporating processes of the stable water isotopes into an atmospheric general circulation model and by applying a spectral nudging technique toward Reanalysis dynamical fields. Unlike the global model simulations forced only by sea surface temperature (SST), the dyn...
متن کاملImproving Rainfall Erosivity Estimates Using Merged TRMM and Gauge Data
Soil erosion is a global issue that threatens food security and causes environmental degradation. Management of water erosion requires accurate estimates of the spatial and temporal variations in the erosive power of rainfall (erosivity). Rainfall erosivity can be estimated from rain gauge stations and satellites. However, the time series rainfall data that has a high temporal resolution are of...
متن کاملImproving Value-at-risk Estimates by Combining Kernel Estimation with Historical Simulation
We thank seminar participants at the OCC and the 1996 Chicago Fed Bank Structure Conference for their comments. We also thank Rene Stulz for his suggestions. The views expressed herein are those of the authors and do not necessarily represent the views of the Office of the Comptroller of the Currency or members of its staff. Address correspondence to Barry Schachter, mail stop 6-8, In this pape...
متن کاملA COMPARATIVE MODEL OF EVM AND PROJECT’S SCHEDULE RISK ANALYSIS USING MONTE CARLO SIMULATION
<span style="color: #000000; font-family: Tahoma, sans-serif; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: auto; text-align: justify; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; backgro...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The South African Journal of Industrial Engineering
سال: 2012
ISSN: 2224-7890,1012-277X
DOI: 10.7166/17-1-155