The Experts below are selected from a list of 111 Experts worldwide ranked by ideXlab platform
Feridun Tasdan - One of the best experts on this subject based on the ideXlab platform.
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a Shift parameter estimation based on smoothed kolmogorov smirnov
Journal of Applied Statistics, 2014Co-Authors: Feridun Tasdan, Özgür YeniayAbstract:A new procedure of Shift parameter estimation in the two-sample location problem is investigated and compared with existing estimators. The proposed procedure smooths the empirical distribution functions of each random sample and replaces empirical distribution functions in the two-sample Kolmogorov--Smirnov method. The smoothed Kolmogorov--Smirnov is minimized with respect to an arbitrary Shift Variable in order to find an estimate of the Shift parameter. The proposed procedure can be considered the smoothed version of a very little known method of Shift parameter estimation from Rao-Schuster-Littell (RSL) [Rao et al. , Estimation of Shift and center of symmetry based on Kolmogorov--Smirnov statistics , Ann. Stat. 3(4) (1975), pp. 862--873]. Their estimator will be discussed and compared with the proposed estimator in this paper. An example and simulation studies have been performed to compare the proposed procedure with existing Shift parameter estimators such as Hodges--Lehmann (H--L) and least squares in addition to RSL's estimator. The results show that the proposed estimator has lower mean-squared error as well as higher relative efficiency against RSL's estimator under normal or contaminated normal model assumptions. Moreover, the proposed estimator performs competitively against H--L and least-squares Shift estimators. Smoother function and bandwidth selections are also discussed and several alternatives are proposed in the study.
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A Shift parameter estimation based on smoothed Kolmogorov–Smirnov
Journal of Applied Statistics, 2013Co-Authors: Feridun Tasdan, Özgür YeniayAbstract:A new procedure of Shift parameter estimation in the two-sample location problem is investigated and compared with existing estimators. The proposed procedure smooths the empirical distribution functions of each random sample and replaces empirical distribution functions in the two-sample Kolmogorov–Smirnov method. The smoothed Kolmogorov–Smirnov is minimized with respect to an arbitrary Shift Variable in order to find an estimate of the Shift parameter. The proposed procedure can be considered the smoothed version of a very little known method of Shift parameter estimation from Rao-Schuster-Littell (RSL) [Rao et al., Estimation of Shift and center of symmetry based on Kolmogorov–Smirnov statistics, Ann. Stat. 3(4) (1975), pp. 862–873]. Their estimator will be discussed and compared with the proposed estimator in this paper. An example and simulation studies have been performed to compare the proposed procedure with existing Shift parameter estimators such as Hodges–Lehmann (H–L) and least squares in addi...
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A Robust Two Sample Procedure to Estimate a Shift Parameter
American Journal of Mathematical and Management Sciences, 2008Co-Authors: Feridun TasdanAbstract:SYNOPTIC ABSTRACTThis study estimates the Shift parameter in the two-sample location problem. The proposed method combines the sample X and sample Y which is Shifted with an arbitrary Shift Variable and a convolution technique is used to smooth out the empirical density function of the combined samples. The smoothed empirical density function is later used in the construction of a log likelihood function for the combined sample. The likelihood function is minimized with respect to an arbitrary Shift Variable to find an estimate of the true Shift parameter. As shown in the study, the proposed estimator is asymptotically efficient and robust against contaminations and outliers. This result is supported by an example and by a simulation study.
John E. Greivenkamp - One of the best experts on this subject based on the ideXlab platform.
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Lateral-Shift Variable aberration generators.
Applied optics, 1999Co-Authors: Iwonka A. Palusinski, Jose M. Sasian, John E. GreivenkampAbstract:We describe and analyze an optical device capable of generating tilt, defocus, astigmatism, coma, and spherical aberration wave-front deformation. This optical device consists of a pair of aspheric plates that produce aberrations by laterally Shifting one plate relative to the other. The surface descriptions of these optical plates are provided, and their aberration-inducing properties are verified with ray-tracing software. In addition, we examine the versatility and the limitations of using Variable aberration generators and provide insight into how aberrations may be controlled by a simple lateral Shift. The device may find application in aberration control in lens systems that are nonrotationally symmetric.
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Lateral Shift Variable aberration generators
International Optical Design Conference 1998, 1998Co-Authors: Iwonka A. Palusinski, Jose M. Sasian, John E. GreivenkampAbstract:No abstract available.© (1998) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Özgür Yeniay - One of the best experts on this subject based on the ideXlab platform.
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a Shift parameter estimation based on smoothed kolmogorov smirnov
Journal of Applied Statistics, 2014Co-Authors: Feridun Tasdan, Özgür YeniayAbstract:A new procedure of Shift parameter estimation in the two-sample location problem is investigated and compared with existing estimators. The proposed procedure smooths the empirical distribution functions of each random sample and replaces empirical distribution functions in the two-sample Kolmogorov--Smirnov method. The smoothed Kolmogorov--Smirnov is minimized with respect to an arbitrary Shift Variable in order to find an estimate of the Shift parameter. The proposed procedure can be considered the smoothed version of a very little known method of Shift parameter estimation from Rao-Schuster-Littell (RSL) [Rao et al. , Estimation of Shift and center of symmetry based on Kolmogorov--Smirnov statistics , Ann. Stat. 3(4) (1975), pp. 862--873]. Their estimator will be discussed and compared with the proposed estimator in this paper. An example and simulation studies have been performed to compare the proposed procedure with existing Shift parameter estimators such as Hodges--Lehmann (H--L) and least squares in addition to RSL's estimator. The results show that the proposed estimator has lower mean-squared error as well as higher relative efficiency against RSL's estimator under normal or contaminated normal model assumptions. Moreover, the proposed estimator performs competitively against H--L and least-squares Shift estimators. Smoother function and bandwidth selections are also discussed and several alternatives are proposed in the study.
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A Shift parameter estimation based on smoothed Kolmogorov–Smirnov
Journal of Applied Statistics, 2013Co-Authors: Feridun Tasdan, Özgür YeniayAbstract:A new procedure of Shift parameter estimation in the two-sample location problem is investigated and compared with existing estimators. The proposed procedure smooths the empirical distribution functions of each random sample and replaces empirical distribution functions in the two-sample Kolmogorov–Smirnov method. The smoothed Kolmogorov–Smirnov is minimized with respect to an arbitrary Shift Variable in order to find an estimate of the Shift parameter. The proposed procedure can be considered the smoothed version of a very little known method of Shift parameter estimation from Rao-Schuster-Littell (RSL) [Rao et al., Estimation of Shift and center of symmetry based on Kolmogorov–Smirnov statistics, Ann. Stat. 3(4) (1975), pp. 862–873]. Their estimator will be discussed and compared with the proposed estimator in this paper. An example and simulation studies have been performed to compare the proposed procedure with existing Shift parameter estimators such as Hodges–Lehmann (H–L) and least squares in addi...
Qasem Exirifard - One of the best experts on this subject based on the ideXlab platform.
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Missing terms in the potential term of the Horava-Lifshitz gravity
2009Co-Authors: Qasem ExirifardAbstract:The Horava-Lifshitz gravity, having broken the symmetry of space and time, includes three objects: the spatial metric $g_{ij}$, the lapse Variable $N$, and the Shift Variable $N_{i}$. Each of these objects have their own scaling dimensions. The action of the theory is required to be invariant under this scaling, and spatial diffeomorphism, and the temporal foliation symmetry. Noting that action can non-trivially depend on the lapse Variable, we suggest to consider the Horva's approach to quantum gravity in higher dimensions such that a set of extra spacial coordinates possess a scaling dimension different from that of rest. In so so doing, we propose a new power counting renormalizable theory for quantum gravity in its UV point. We show that the IR point and UV point of the proposal possess the same number of degrees of freedom in 3, 8 and 27 extra-dimensional space-time geometry.
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Visiting Horava-Lifshitz gravity in extra dimensions
arXiv: High Energy Physics - Theory, 2009Co-Authors: Qasem ExirifardAbstract:The Horava-Lifshitz gravity, having broken the symmetry of space and time, includes three objects: the spatial metric $g_{ij}$, the lapse Variable $N$, and the Shift Variable $N_{i}$. Each of these objects have their own scaling dimensions. The action of the theory is required to be invariant under this scaling, and spatial diffeomorphism, and the temporal foliation symmetry. Noting that action can non-trivially depend on the lapse Variable, we suggest to consider the Horva's approach to quantum gravity in higher dimensions such that a set of extra spacial coordinates possess a scaling dimension different from that of rest. In so so doing, we propose a new power counting renormalizable theory for quantum gravity in its UV point. We show that the IR point and UV point of the proposal possess the same number of degrees of freedom in 3, 8 and 27 extra-dimensional space-time geometry.
Iwonka A. Palusinski - One of the best experts on this subject based on the ideXlab platform.
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Lateral-Shift Variable aberration generators.
Applied optics, 1999Co-Authors: Iwonka A. Palusinski, Jose M. Sasian, John E. GreivenkampAbstract:We describe and analyze an optical device capable of generating tilt, defocus, astigmatism, coma, and spherical aberration wave-front deformation. This optical device consists of a pair of aspheric plates that produce aberrations by laterally Shifting one plate relative to the other. The surface descriptions of these optical plates are provided, and their aberration-inducing properties are verified with ray-tracing software. In addition, we examine the versatility and the limitations of using Variable aberration generators and provide insight into how aberrations may be controlled by a simple lateral Shift. The device may find application in aberration control in lens systems that are nonrotationally symmetric.
-
Lateral Shift Variable aberration generators
International Optical Design Conference 1998, 1998Co-Authors: Iwonka A. Palusinski, Jose M. Sasian, John E. GreivenkampAbstract:No abstract available.© (1998) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.