Censoring data for resistance factor calculations in load and resistance factor design - Info and Reading Options
a preliminary study
By James W. Evans
"Censoring data for resistance factor calculations in load and resistance factor design" was published by United States Dept. of Agriculture, Forest Service, Forest Products Laboratory in 2007 - Madison, WI and the language of the book is English.
“Censoring data for resistance factor calculations in load and resistance factor design” Metadata:
- Title: ➤ Censoring data for resistance factor calculations in load and resistance factor design
- Author: James W. Evans
- Language: English
- Publisher: ➤ United States Dept. of Agriculture, Forest Service, Forest Products Laboratory
- Publish Date: 2007
- Publish Location: Madison, WI
“Censoring data for resistance factor calculations in load and resistance factor design” Subjects and Themes:
- Subjects: Weibull distribution - Mathematical models - Reliability (Engineering) - Load factor design
Edition Specifications:
- Pagination: 6 p. ;
Edition Identifiers:
- The Open Library ID: OL23710846M - OL10355200W
- Library of Congress Control Number (LCCN): 2007473627
AI-generated Review of “Censoring data for resistance factor calculations in load and resistance factor design”:
"Censoring data for resistance factor calculations in load and resistance factor design" Description:
The Open Library:
Reliability estimates for the resistance distribution of wood product properties may be made from test data where all specimens are broken (full data sets) or by using data sets where information is obtained only from the weaker pieces in the distribution (censored data). Whereas considerable information exists on property estimation from full data sets, much less information is available on property estimation using censored data. To assess the need for a more rigorous study, a small simulation study was conducted to identify potential problems that could be associated with censoring effects on property estimates from an assumed Weibull distribution for use in reliability-based standards such as ASTM D 5457. Results suggest that reasonable estimates of property percentiles may be obtained when the censoring point is above the percentile needed. However, censoring also affects the estimate of the Weibull shape parameter, and therefore the coefficient of variation. This is important because the coefficient of variation is used to estimate the data confidence factor and the normalization factor also used in determining the data resistance factor. The simulation suggests that for a given sample size, the estimate of Weibull-shape parameter gets better as more of the distribution is included. Further studies are recommended to provide guidance on use of censored data with both the two- and three-parameter Wiebull distributions.
Read “Censoring data for resistance factor calculations in load and resistance factor design”:
Read “Censoring data for resistance factor calculations in load and resistance factor design” by choosing from the options below.
Search for “Censoring data for resistance factor calculations in load and resistance factor design” downloads:
Visit our Downloads Search page to see if downloads are available.
Find “Censoring data for resistance factor calculations in load and resistance factor design” in Libraries Near You:
Read or borrow “Censoring data for resistance factor calculations in load and resistance factor design” from your local library.
- The WorldCat Libraries Catalog: Find a copy of “Censoring data for resistance factor calculations in load and resistance factor design” at a library near you.
Buy “Censoring data for resistance factor calculations in load and resistance factor design” online:
Shop for “Censoring data for resistance factor calculations in load and resistance factor design” on popular online marketplaces.
- Ebay: New and used books.
