lensfaults

This dataset records counts of surface faults (\(X\)) and interior faults (\(Y\)) observed in 100 optical lenses

datasets

Implementation of bivariate binomial, geometric, and Poisson distributions based on conditional specifications. The package also includes tools for data generation and goodness-of-fit testing for these three distribution families. For methodological details, see Ghosh, Marques, and Chakraborty (2025) <doi:10.1080/03610926.2024.2315294>, Ghosh, Marques, and Chakraborty (2023) <doi:10.1080/03610918.2021.2004419>, and Ghosh, Marques, and Chakraborty (2021) <doi:10.1080/02664763.2020.1793307>.

Mina Norouzirad

Bivariate Distributions via Conditional Specification

Filipe J. Marques

Indranil Ghosh

FCT, I.P. 

lensfaults function

A data frame with 100 rows and 2 variables:<dl>
 <dt>X</dt>
<dd>Number of surface faults in a lens.</dd> <dt>Y</dt>
<dd>Number of interior faults in the same lens.</dd>
</dl>

Format

Surface and Interior Faults in 100 Lenses — lensfaults

A data frame with 100 rows and 2 variables:<dl>
 <dt>X</dt>
<dd>Number of surface faults in a lens.</dd>

 <dt>Y</dt>
<dd>Number of interior faults in the same lens.</dd>


</dl>

lensfaults: Surface and Interior Faults in 100 Lenses

Description

Usage

Arguments

Format

References