| Title: | Statistical Decision Analysis |
|---|---|
| Description: | Contains a function called dmur() which accepts four parameters like possible values, probabilities of the values, selling cost and preparation cost. The dmur() function generates various numeric decision parameters like MEMV (Maximum (optimum) expected monitory value), best choice, EPPI (Expected profit with perfect information), EVPI (Expected value of the perfect information), EOL (Expected opportunity loss), which facilitate effective decision-making. |
| Authors: | Partha Sarathi Bishnu <[email protected]> |
| Maintainer: | Partha Sarathi Bishnu <[email protected]> |
| License: | GPL (>= 2) |
| Version: | 0.1.0 |
| Built: | 2024-12-08 06:54:15 UTC |
| Source: | CRAN |
Statistical Decision Analysis: with the help of this package we construct the payoff table and the opportunity loss table and calculate various statistical parameters like EMVs, MEMV, EPPI, EVPI, EOL which help in taking effective decisions.
dmur(dAmount, prob, sPrice, pPrice)dmur(dAmount, prob, sPrice, pPrice)
dAmount |
A data vector to store values |
prob |
A data vector to store the probabilities |
sPrice |
A numeric value to store selling price |
pPrice |
A numeric value to store preparation/ purchase price |
MEMV, bestValue, EPPI, EVPI, EOL
1. Khalili, k., Damghani, M. T., Taghavifard, R., Tavakkoli M., (2009) Decision making under uncertain and risky situations, Enterprise risk management symposium monograph society of Actuaries- Schaumburg, Illinois, vol. 15.
2. Marakas, G. M. (2006) Decision support system- In the 21st century, 2nd edition, Pearson education, New Delhi.
3. Turban, E., Aronson, J. E. and Liang, T.P. (2006) Decision support system and intelligent systems, Pearson education, New Delhi.
dmur(c(50, 100, 150, 200), c(0.2,0.4,0.3,0.1), 20, 10)dmur(c(50, 100, 150, 200), c(0.2,0.4,0.3,0.1), 20, 10)