Crow Extended Confidence Bounds

From ReliaWiki
Revision as of 05:33, 25 August 2012 by Lisa Hacker (talk | contribs) (Created page with '{{template:RGA BOOK|E|Crow Extended Confidence Bounds}} In this section, we will present the methods used in the RGA software to estimate the confidence bounds for the Crow Exten…')
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

New format available! This reference is now available in a new format that offers faster page load, improved display for calculations and images, more targeted search and the latest content available as a PDF. As of September 2023, this Reliawiki page will not continue to be updated. Please update all links and bookmarks to the latest reference at help.reliasoft.com/reference/reliability_growth_and_repairable_system_analysis

Chapter E: Crow Extended Confidence Bounds


RGAbox.png

Chapter E  
Crow Extended Confidence Bounds  

Synthesis-icon.png

Available Software:
RGA

Examples icon.png

More Resources:
RGA examples

In this section, we will present the methods used in the RGA software to estimate the confidence bounds for the Crow Extended model when applied to developmental testing data. The software provides two methods to estimate the confidence bounds on demonstrated MTBF and failure intensity, projected MTBF and failure intensity and growth potential MTBF and failure intensity. The two methods are the Fisher Matrix (FM) method and Crow bounds. The Fisher Matrix approach is based on the Fisher Information Matrix and is commonly employed in the reliability field. The Crow bounds were developed by Dr. Larry Crow. 

New format available! This reference is now available in a new format that offers faster page load, improved display for calculations and images, more targeted search and the latest content available as a PDF. As of September 2023, this Reliawiki page will not continue to be updated. Please update all links and bookmarks to the latest reference at help.reliasoft.com/reference/reliability_growth_and_repairable_system_analysis

Chapter E: Crow Extended Confidence Bounds


RGAbox.png

Chapter E  
Crow Extended Confidence Bounds  

Synthesis-icon.png

Available Software:
RGA

Examples icon.png

More Resources:
RGA examples

In this section, we will present the methods used in the RGA software to estimate the confidence bounds for the Crow Extended model when applied to developmental testing data. The software provides two methods to estimate the confidence bounds on demonstrated MTBF and failure intensity, projected MTBF and failure intensity and growth potential MTBF and failure intensity. The two methods are the Fisher Matrix (FM) method and Crow bounds. The Fisher Matrix approach is based on the Fisher Information Matrix and is commonly employed in the reliability field. The Crow bounds were developed by Dr. Larry Crow. 
Template loop detected: Template:Bounds on demonstrated failure intensity rga

Template loop detected: Template:Bounds on demonstrated mtbf rga

Template loop detected: Template:Bounds on projected failure intensity rga

Template loop detected: Template:Bounds on projected mtbf rga

Template loop detected: Template:Bounds on growth potential failure intensity rga

Template loop detected: Template:Bounds on growth potential mtbf rga

New format available! This reference is now available in a new format that offers faster page load, improved display for calculations and images, more targeted search and the latest content available as a PDF. As of September 2023, this Reliawiki page will not continue to be updated. Please update all links and bookmarks to the latest reference at help.reliasoft.com/reference/reliability_growth_and_repairable_system_analysis

Chapter E: Crow Extended Confidence Bounds


RGAbox.png

Chapter E  
Crow Extended Confidence Bounds  

Synthesis-icon.png

Available Software:
RGA

Examples icon.png

More Resources:
RGA examples

In this section, we will present the methods used in the RGA software to estimate the confidence bounds for the Crow Extended model when applied to developmental testing data. The software provides two methods to estimate the confidence bounds on demonstrated MTBF and failure intensity, projected MTBF and failure intensity and growth potential MTBF and failure intensity. The two methods are the Fisher Matrix (FM) method and Crow bounds. The Fisher Matrix approach is based on the Fisher Information Matrix and is commonly employed in the reliability field. The Crow bounds were developed by Dr. Larry Crow. 
Template loop detected: Template:Bounds on demonstrated failure intensity rga

Template loop detected: Template:Bounds on demonstrated mtbf rga

Template loop detected: Template:Bounds on projected failure intensity rga

Template loop detected: Template:Bounds on projected mtbf rga

Template loop detected: Template:Bounds on growth potential failure intensity rga

Template loop detected: Template:Bounds on growth potential mtbf rga

New format available! This reference is now available in a new format that offers faster page load, improved display for calculations and images, more targeted search and the latest content available as a PDF. As of September 2023, this Reliawiki page will not continue to be updated. Please update all links and bookmarks to the latest reference at help.reliasoft.com/reference/reliability_growth_and_repairable_system_analysis

Chapter E: Crow Extended Confidence Bounds


RGAbox.png

Chapter E  
Crow Extended Confidence Bounds  

Synthesis-icon.png

Available Software:
RGA

Examples icon.png

More Resources:
RGA examples

In this section, we will present the methods used in the RGA software to estimate the confidence bounds for the Crow Extended model when applied to developmental testing data. The software provides two methods to estimate the confidence bounds on demonstrated MTBF and failure intensity, projected MTBF and failure intensity and growth potential MTBF and failure intensity. The two methods are the Fisher Matrix (FM) method and Crow bounds. The Fisher Matrix approach is based on the Fisher Information Matrix and is commonly employed in the reliability field. The Crow bounds were developed by Dr. Larry Crow. 
Template loop detected: Template:Bounds on demonstrated failure intensity rga

Template loop detected: Template:Bounds on demonstrated mtbf rga

Template loop detected: Template:Bounds on projected failure intensity rga

Template loop detected: Template:Bounds on projected mtbf rga

Template loop detected: Template:Bounds on growth potential failure intensity rga

Template loop detected: Template:Bounds on growth potential mtbf rga

New format available! This reference is now available in a new format that offers faster page load, improved display for calculations and images, more targeted search and the latest content available as a PDF. As of September 2023, this Reliawiki page will not continue to be updated. Please update all links and bookmarks to the latest reference at help.reliasoft.com/reference/reliability_growth_and_repairable_system_analysis

Chapter E: Crow Extended Confidence Bounds


RGAbox.png

Chapter E  
Crow Extended Confidence Bounds  

Synthesis-icon.png

Available Software:
RGA

Examples icon.png

More Resources:
RGA examples

In this section, we will present the methods used in the RGA software to estimate the confidence bounds for the Crow Extended model when applied to developmental testing data. The software provides two methods to estimate the confidence bounds on demonstrated MTBF and failure intensity, projected MTBF and failure intensity and growth potential MTBF and failure intensity. The two methods are the Fisher Matrix (FM) method and Crow bounds. The Fisher Matrix approach is based on the Fisher Information Matrix and is commonly employed in the reliability field. The Crow bounds were developed by Dr. Larry Crow. 
Template loop detected: Template:Bounds on demonstrated failure intensity rga

Template loop detected: Template:Bounds on demonstrated mtbf rga

Template loop detected: Template:Bounds on projected failure intensity rga

Template loop detected: Template:Bounds on projected mtbf rga

Template loop detected: Template:Bounds on growth potential failure intensity rga

Template loop detected: Template:Bounds on growth potential mtbf rga

New format available! This reference is now available in a new format that offers faster page load, improved display for calculations and images, more targeted search and the latest content available as a PDF. As of September 2023, this Reliawiki page will not continue to be updated. Please update all links and bookmarks to the latest reference at help.reliasoft.com/reference/reliability_growth_and_repairable_system_analysis

Chapter E: Crow Extended Confidence Bounds


RGAbox.png

Chapter E  
Crow Extended Confidence Bounds  

Synthesis-icon.png

Available Software:
RGA

Examples icon.png

More Resources:
RGA examples

In this section, we will present the methods used in the RGA software to estimate the confidence bounds for the Crow Extended model when applied to developmental testing data. The software provides two methods to estimate the confidence bounds on demonstrated MTBF and failure intensity, projected MTBF and failure intensity and growth potential MTBF and failure intensity. The two methods are the Fisher Matrix (FM) method and Crow bounds. The Fisher Matrix approach is based on the Fisher Information Matrix and is commonly employed in the reliability field. The Crow bounds were developed by Dr. Larry Crow. 
Template loop detected: Template:Bounds on demonstrated failure intensity rga

Template loop detected: Template:Bounds on demonstrated mtbf rga

Template loop detected: Template:Bounds on projected failure intensity rga

Template loop detected: Template:Bounds on projected mtbf rga

Template loop detected: Template:Bounds on growth potential failure intensity rga

Template loop detected: Template:Bounds on growth potential mtbf rga

New format available! This reference is now available in a new format that offers faster page load, improved display for calculations and images, more targeted search and the latest content available as a PDF. As of September 2023, this Reliawiki page will not continue to be updated. Please update all links and bookmarks to the latest reference at help.reliasoft.com/reference/reliability_growth_and_repairable_system_analysis

Chapter E: Crow Extended Confidence Bounds


RGAbox.png

Chapter E  
Crow Extended Confidence Bounds  

Synthesis-icon.png

Available Software:
RGA

Examples icon.png

More Resources:
RGA examples

In this section, we will present the methods used in the RGA software to estimate the confidence bounds for the Crow Extended model when applied to developmental testing data. The software provides two methods to estimate the confidence bounds on demonstrated MTBF and failure intensity, projected MTBF and failure intensity and growth potential MTBF and failure intensity. The two methods are the Fisher Matrix (FM) method and Crow bounds. The Fisher Matrix approach is based on the Fisher Information Matrix and is commonly employed in the reliability field. The Crow bounds were developed by Dr. Larry Crow. 
Template loop detected: Template:Bounds on demonstrated failure intensity rga

Template loop detected: Template:Bounds on demonstrated mtbf rga

Template loop detected: Template:Bounds on projected failure intensity rga

Template loop detected: Template:Bounds on projected mtbf rga

Template loop detected: Template:Bounds on growth potential failure intensity rga

Template loop detected: Template:Bounds on growth potential mtbf rga