Valvefailure


Here the number of failures in a run is a Poisson variable with mean affected by the various factor combinations and also observation times. There are 5 factors.  Note that all explanatory variables are of qualitative type and in regression they will have to be converted into a group of indicator columns each. If there are 2 categories a single indicator column suffices. If there are k categories we need k-1 columns.


datasets

Collection of datasets as prepared by Profs. A.P. Gore, S.A. Paranjape, and M.B. Kulkarni of Department of Statistics, Poona University, India. With their permission, first letter of their names forms the name of this package, the package has been built by me and made available for the benefit of R users. This collection requires a rich class of models and can be a very useful building block for a beginner.

Prabhanjan Tattar

100 Data Sets for Statistics Education

Valvefailure function

A data frame with 90 observations on the following 7 variables.
  <dl>
    <dt><code>System</code></dt><dd>System (1=containment, 2= nuclear, 3=power conversion, 4= safety, 5= process auxiliary)</dd> <dt><code>Operator</code></dt><dd>Operator type (1= air, 2= solenoid, 3=motor driven, 4= manual)</dd> <dt><code>Valve</code></dt><dd>Valve type (1=ball, 2= butterfly, 3=diaphragm, 4= gate, 5= globe, 6= directional control)</dd> <dt><code>Size</code></dt><dd>Head size (1= less than 2inches, 2= 2-10 inches, 3= 10-30 inches)</dd> <dt><code>Mode</code></dt><dd>Operational mode (1= normally closed, 2= normally open)</dd> <dt><code>Failures</code></dt><dd>Number of failures</dd> <dt><code>Time</code></dt><dd>Observation times (multiplied by 43800) hours</dd> </dl> 

Format

http://ces.iisc.ernet.in/hpg/nvjoshi/statspunedatabook/databook.html

Valvefailure: Valve characteristics and numbers of failures in a nuclear reactor

Description

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