Coin And Dice
Compute the estimated average number of coin tosses (or dice throws) to get a given sequence of Heads-and-Tails (or a sequence of intergers ranging from 1 to 6)
The inputs are:
- The Sequence (row vector)
- The Number of Monte-Carlo Simulations
The outputs are the estimated (Monte-Carlo) expectation of number of tosses/throws to get the input sequence, along with the standard deviation of the error (due to the randomness of the simulation)
Zitieren als
Rodolphe Sitter (2024). Coin And Dice (https://www.mathworks.com/matlabcentral/fileexchange/23448-coin-and-dice), MATLAB Central File Exchange. Abgerufen .
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- Signal Processing > Signal Processing Toolbox > Digital and Analog Filters > Digital Filter Design > Adaptive Filters >
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Inspiriert von: Kernel Smoothing Regression
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Version | Veröffentlicht | Versionshinweise | |
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1.0.0.0 |