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| 1 | A Passive Q-Switched Microchip Er/Yb Glass Laser Pumped by Laser Diode显示文摘被动的切换 Q 的耳做了的 laser-diode-pumped 1.54 亩 m 玻璃激光被报导。我们与 973nm 的波长利用一根激光二极管与耳和 1 wt.% 和 21 wt.% 的镱 14 集中抽一只 1 公里 Er/Yb co-dopedphosphate 杯子, respectively.A Co2+: MgAl2O4 平板水晶被用作被动 Q 开关。当吸收的泵力量是 475mW 时,有 800 Hz, 7.4ns 的宽度, 2.2kW 的山峰力量和 13.3mW 的平均力量的重复频率的切换 Q 的脉搏被获得。切换 Q 的微芯片 Er/Yb 玻璃激光的三明治结构被表明,它显示出 6.8 ns 的更短的脉搏宽度。泵力量上的脉搏持续时间和重复频率的依赖也被调查。 | 宋峰 吴朝晖 刘淑静 蔡虹 田建国 张光寅 Boris Denker Sergei Sverchkov | 2006 | Chinese Physics Letters2006，23，5： | 4 |
| 2 | Development and characterization of Yb-Er laser glass for high average power laser diode pumping显示文摘 | G. Karlsson F. Laurell J. Tellefsen B. Denker B. Galagan V. Osiko S. Sverchkov | 2002 | Applied Physics B Lasers and Optics2002，，1： | 1 |
| 3 | Luminescent properties of Bi-doped boro-alumino-phosphate glasses显示文摘 | Denker B Galagan B Osiko V Sverchkov V Dianov E | | 0，，01： | 1 |
| 4 | Parametric and semi - parametric estimation of regression models fitted to survey data显示文摘 | Pfeffermann D Sverchkov M | 1999 | Sankhya Series B1999，61，： | 1 |
| 5 | Small area estimation under informative sampling显示文摘 | Pfeffermann D Sverchkov M | 2005 | Statistics in Transition2005，，7： | 1 |
| 6 | Multivariate small area estimation under nonignorable nonresponse显示文摘We consider multivariate small area estimation under nonignorable, not missing at random(NMAR) nonresponse. We assume a response model that accounts for the different patterns ofthe observed outcomes, (which values are observed and which ones are missing), and estimatethe response probabilities by application of the Missing Information Principle (MIP). By this principle, we first derive the likelihood score equations for the case where the missing outcomes areactually observed, and then integrate out the unobserved outcomes from the score equationswith respect to the distribution holding for the missing data. The latter distribution is definedby the distribution fitted to the observed data for the respondents and the response model. Theintegrated score equations are then solved with respect to the unknown parameters indexingthe response model. Once the response probabilities have been estimated, we impute the missing outcomes from their appropriate distribution, yielding a complete data set with no missingvalues, which is used for predicting the target area means. A parametric bootstrap procedure isdeveloped for assessing the mean squared errors (MSE) of the resulting predictors. We illustratethe approach by a small simulation study. | Danny Pfeffermann Michael Sverchkov | 2019 | Statistical Theory and Related Fields2019，3，2： | 0 |
| 7 | Future Outlook of Artificial Cavity Application for Reducing Hydrodynamic Resistance of Containerships显示文摘 | Valery Borusevich Alexander Poustoshnyl Andrey Sverchkov Giorgio Trincas | 2017 | Journal of Energy and Power Engineering2017，11，3： | 0 |
| 8 | Model-based small area estimation with no samples within the areas,by benchmarking to marginal cross-sectional and time-series estimates显示文摘Official monthly U.S.labour force estimation at the sub-State level(mostly counties)is based on what is known as the‘Handbook’(HB)method,one of the earliest uses of administrative data for small area estimation.The administrative data,however,are poor in coverage and have conceptual deficiencies.Past attempts to correct for the resulting bias of the HB estimates by informal(implicit)modelling have not been successful,due to the absence of regular direct monthly survey estimates at the sub-State level.Benchmarking the sub-State HB estimates each month to the State model dependent estimates helps to correct for an overall bias,but not in individual areas.In this article we propose benchmarking additionally to the annual model-dependent area estimates.The annual models include known administrative data as covariates,and are used to define corresponding monthly sub-State models,which in turn enable producing monthly synthetic estimates as possible substitutes for the HB estimates in real time production.Variance estimates,which account for sampling errors and the errors of the model dependent estimators are developed.Data for sub-State areas in the State of Arizona are used for illustration.Although the methodology developed in this article stems from a particular(but very important)application,it is general and applicable to other similar problems. | Danny Pfeffermann Michael Sverchkov Richard Tiller Lizhi Liu | 2020 | Statistical Theory and Related Fields2020，4，1： | 0 |
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