On precision of optimization in the case of incomplete information
AbstractIn the paper we study the impact of incomplete information to precision of results of stochastic optimization. It is assumed that the stochastic characteristics of optimized system are evaluated from the data. However, the observations can be incom- plete, namely, we consider the random censoring frequently encountered in time-to-event or lifetime studies. The analysis of uncertainty of solution is based both on theoretical properties of estimated stochastic characteristics and on simulated examples.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by The Czech Econometric Society in its journal Bulletin of the Czech Econometric Society.
Volume (Year): 19 (2012)
Issue (Month): 30 ()
Optimization; censored data; Fisher information; product-limit estimate;
Find related papers by JEL classification:
- C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
- J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Jozef Barunik).
If references are entirely missing, you can add them using this form.