Data0501

<p>This dataset results of a simulation on the basis of Sierpinski-Carpet with a [p,p,p,q]-model with fixed values of p = 0.5 and q = 0.1. Data was simulated in JAVA and every cell of data is filled with either zeros or ones. It is a simulation example for breast mammography screenings where the result is a black and white picture and values zero and ones stand for black and white.</p>

datasets

The parameters p and q are estimated with the aid of a randomized Sierpinski Carpet which is built on a [p-p-p-q]-model. Thereby, for three times a simulation with a p-value and once with a q-value is assumed. Hence, these parameters are estimated and displayed. Moreover, functions for simulating random Sierpinski-Carpets with constant and variable probabilities are included. For more details on the method please see Hermann et al. (2015) <doi:10.1002/sim.6497>.

Philipp Hermann

FractalParameterEstimation

Simulation and Parameter Estimation of Randomized Sierpinski
Carpets using the p-p-p-q-Model

Data0501 function

<p>A data frame with 81 observations on the following 81 variables. These 81 variables result from 3^4, which means fourth ramification of Sierpinski-Carpet.</p>

Data0501: Data of simulation of random Sierpinski-Carpet with [p,p,p,q]-model and p = 0.5 and q = 0.1

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