Mean-Square Convergence of Recursive Kernel Estimators of Non-Homogeneous Poisson Process Intensity Function and its Derivative; Computation, Automation, Information Technologies and Safety Systems in Nuclear Industry; Vol. 1084 : Physical-Technical Problems of Nuclear Science, Energy Generation, and Power Industry (PTPAI -2014)
| Parent link: | Computation, Automation, Information Technologies and Safety Systems in Nuclear Industry: Scientific Journal Vol. 1084 : Physical-Technical Problems of Nuclear Science, Energy Generation, and Power Industry (PTPAI -2014).— 2015.— [P. 684-688] |
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| मुख्य लेखक: | |
| निगमित लेखक: | |
| अन्य लेखक: | |
| सारांश: | Title screen The structure of the estimators is similar to the recursive kernel estimators of a density function and its derivative. The estimators have been constructed using a single realization of Poisson process on a fixed time interval. Mean-square convergence has been proved in a scheme of series. Simulation studies have been carried out to illustrate the convergence. Режим доступа: по договору с организацией-держателем ресурса |
| भाषा: | अंग्रेज़ी |
| प्रकाशित: |
2015
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| श्रृंखला: | Radiation Technologies in Medicine |
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| ऑनलाइन पहुंच: | http://dx.doi.org/10.4028/www.scientific.net/AMR.1084.684 |
| स्वरूप: | इलेक्ट्रोनिक पुस्तक अध्याय |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=640516 |