data_coalmin

The function allows to provide the intervals in days between 109 successive coal mining disasters
in Great Britain during the period 1875-1951.

Coal Mining

A collection of widely used univariate data sets of various applied domains on applications of distribution theory. The functions allow researchers and practitioners to quickly, easily, and efficiently access and use these data sets. The data are related to different applied domains and as follows: Bio-medical, survival analysis, medicine, reliability analysis, hydrology, actuarial science, operational research, meteorology, extreme values, quality control, engineering, finance, sports and economics. The total 100 data sets are documented along with associated references for further details and uses.

Muhammad Imran

DataSetsUni

A Collection of Univariate Data Sets

M.H Tahir

Farrukh Jamal

Coal Mining function

<dl><dt>data_coalmin</dt>
<dd>A vector of (non-negative integer) values.</dd></dl>

Arguments

Muhammad Imran.
R implementation and documentation: Muhammad Imran <a href="/link/imranshakoor84%40yahoo.com?package=DataSetsUni&version=0.1" data-mini-rdoc="DataSetsUni::imranshakoor84@yahoo.com">imranshakoor84@yahoo.com</a>.

Author

The data represents the intervals in days between 109 successive coal mining disasters — Coal Mining

<dl>

<dt>data_coalmin</dt>
<dd>A vector of (non-negative integer) values.</dd>

</dl>

Muhammad Imran.
R implementation and documentation: Muhammad Imran <a href='mailto:imranshakoor84@yahoo.com'>imranshakoor84@yahoo.com</a>.

Coal Mining: The data represents the intervals in days between 109 successive coal mining disasters

Description

Usage

Value

Arguments

Author

Details

References

Examples