AdequacyModel-package: Adequacy of probabilistic models and and general purpose...
In AdequacyModel: Adequacy of Probabilistic Models and General Purpose Optimization
Description
Details
References
Description
The main application concerns to a new robust optimization package with two major contributions. The first contribution refers to the assessment of the adequacy of probabilistic models through a combination of several statistics, which measure the relative quality of statistical models for a given data set. The second one provides a general purpose optimization method based on meta-heuristics functions for maximizing or minimizing an arbitrary objective function.
Details
Package: AdequacyModel
Type: Package
Version: 1.0
License: GPL-2
Depends: R (>= 2.10.0)
References
Aarset, M. V. (1987). How to identify bathtub hazard rate. IEEE Transactions Reliability, 36, 106-108.
Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.
Beni G, Wang J (1993). Swarm intelligence in cellular robotic systems. pp. 703-712.
Chen, G., Balakrishnan, N. (1995). A general purpose approximate goodness-of-fit test. Journal of Quality Technology 27, 154-16.
Eberhart RC, Kennedy J (1995). A new optimizer using particle swarm theory. In Proceedings of the sixth international symposium on micro machine and human science, volume 1, pp. 39-43. New York, NY.
Kennedy J, Kennedy JF, Eberhart RC, Shi Y (2001). Swarm intelligence. Morgan Kaufmann.
Nichols, M.D, Padgett, W.J. (2006). A Bootstrap control chart for Weibull percentiles. Quality and Reliability Engineering International 22, 141-151.
Shi Y, Eberhart R (1998). A modified particle swarm optimizer. In Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on, pp. 69-73. IEEE.
AdequacyModel documentation built on May 2, 2019, 4:03 p.m.
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Description Details References
Description
The main application concerns to a new robust optimization package with two major contributions. The first contribution refers to the assessment of the adequacy of probabilistic models through a combination of several statistics, which measure the relative quality of statistical models for a given data set. The second one provides a general purpose optimization method based on meta-heuristics functions for maximizing or minimizing an arbitrary objective function.
Details
| Package: | AdequacyModel |
| Type: | Package |
| Version: | 1.0 |
| License: | GPL-2 |
| Depends: | R (>= 2.10.0) |
References
Aarset, M. V. (1987). How to identify bathtub hazard rate. IEEE Transactions Reliability, 36, 106-108.
Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.
Beni G, Wang J (1993). Swarm intelligence in cellular robotic systems. pp. 703-712.
Chen, G., Balakrishnan, N. (1995). A general purpose approximate goodness-of-fit test. Journal of Quality Technology 27, 154-16.
Eberhart RC, Kennedy J (1995). A new optimizer using particle swarm theory. In Proceedings of the sixth international symposium on micro machine and human science, volume 1, pp. 39-43. New York, NY.
Kennedy J, Kennedy JF, Eberhart RC, Shi Y (2001). Swarm intelligence. Morgan Kaufmann.
Nichols, M.D, Padgett, W.J. (2006). A Bootstrap control chart for Weibull percentiles. Quality and Reliability Engineering International 22, 141-151.
Shi Y, Eberhart R (1998). A modified particle swarm optimizer. In Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on, pp. 69-73. IEEE.
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