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Properties, Inference and Applications of Inverse Power Two-Parameter Weighted Lindley Distribution 被引量:1
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作者 M. M. E. Abd El-Monsef H. S. Al-Kzzaz 《Open Journal of Statistics》 2020年第5期889-904,共16页
We proposed </span><span style="font-family:Verdana;">“</span><span style="font-family:Verdana;">a new extension of three</span><span style="font-family:Verda... We proposed </span><span style="font-family:Verdana;">“</span><span style="font-family:Verdana;">a new extension of three</span><span style="font-family:Verdana;">-</span><span style="font-family:Verdana;">parametric distribution” called the inverse power two-parameter weighted Lindley (IPWL) distribution capable of modeling a upside-down bathtub hazard rate function. This distribution is studied to get basic structural properties such as reliability measures, moments, inverse moments and its related measures. Simulation studies </span><span style="font-family:Verdana;">are </span><span style="font-family:Verdana;">done to present the performance and behavior of maximum likelihood estimates of the IPWL distribution parameters. Finally, we perform goodness of fit measures and test statistics using a real data set to show the performance of the new distribution. 展开更多
关键词 Weighted Lindley Distribution Inverse Power Reverse Hazard Function Inverse Moments Goodness of Fit
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Theoretical Study on Stochastic Modeling of Combined Gravity-Magnetic-Electric-Seismic Inversion and Its Application
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作者 YanHanjie YanHong +1 位作者 LiYunping ZhangXiaofeng 《Journal of China University of Geosciences》 SCIE CSCD 2003年第3期227-233,共7页
As gravity field, magnetic field, electric field and seismic wave field are all physical fields, their object function, reverse function and compound function are certainly infinite continuously differentiable functio... As gravity field, magnetic field, electric field and seismic wave field are all physical fields, their object function, reverse function and compound function are certainly infinite continuously differentiable functions which can be expanded into Taylor (Fourier) series within domain of definition and be further reduced into solving stochastic distribution function of series and statistic inference of optimal approximation. This is the basis of combined gravity-magnetic-electric-seismic inversion of stochastic modeling. It is an uncertainty modeling technology of combining gravity-magnetic-electric-seismic inversion built on the basis of separation of field and source gravity-magnetic difference-value (D-value) trend surface, taking distribution-independent fault system as its unit, depths of seismic and electric interfaces of interests as its corresponding bivariate compound reverse function of gravity-magnetic anomalies and using high order polynomial (high order trigonometric function) approximating to its series distribution. The difference from current dominant inversion techniques is that, first, it does not respectively create gravity-seismic, magnetic-seismic deterministic inversion model from theoretical model, but combines gravity-magnetic-electric-seismic stochastic inversion model from stochastic model; second, after the concept of equivalent geological body being introduced, using feature of independent variable of gravity-magnetic field functions, taking density and susceptibility related to gravity-magnetic function as default parameters of model, the deterministic model is established owing to better solution to the contradiction of difficulty in identifying strata and less test analytical data for density and susceptibility in newly explored area; third, under assumption of independent parent distribution, a real modeling by strata, the problem of difficult plane closure arising in profile modeling is avoided. This technology has richer and more detailed fault and strata information than sparse pattern seismic data in newly explored area, successfully inverses and plots structural map of Indosinian discontinuity in Hefei basin with combined gravity-magnetic-electric-seismic inversion. With development of high precision gravity-magnetic and overall geophysical technology, it is certain for introducing new methods of stochastic modeling and computational intelligence and promoting the development of combined gravity-magnetic-electric-seismic inversion to open a new substantial path. 展开更多
关键词 gravity-magnetic compound reverse function stochastic geological model probability statistics gravity-magnetic D-value trend surface analysis.
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Reversible pre-excitation cardiomyopathy:a case report
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作者 Wang Jinxi Zhai Mei +1 位作者 Zhang Yuhui Zhang Jian 《中华心力衰竭和心肌病杂志(中英文)》 2024年第2期123-127,共5页
This paper reported a 25-year-old hospitalized woman complained of recurrent chest tightness and dyspnea for 3 months.The electrocardiogram showed pre-excitation and the echocardiogram showed left ventricular wall con... This paper reported a 25-year-old hospitalized woman complained of recurrent chest tightness and dyspnea for 3 months.The electrocardiogram showed pre-excitation and the echocardiogram showed left ventricular wall contraction reduced diffusely and moved asynchronously.In the systolic period,the regional septum basal segment moved to the right ventricle like an aneurysm.In cardiac magnetic resonance imaging examination,there was no significant myocardial fibrosis.The patient further had an endomyocardial biopsy and pathological examination showed nonspecific changes,only with mild interstitial edema.After an electrophysiological study,the patient was finally diagnosed with pre-excitation cardiomyopathy with a right anteroseptal para-hisian manifest accessory pathway.Radiofrequency catheter ablation was then performed to block the advanced pathway.6 months after ablation,the left ventricular systolic function and synchrony improved significantly,and the symptoms were alleviated. 展开更多
关键词 Pre-excitation cardiomyopathy Asynchronous electromechanical contraction coupling Reversible cardiac function
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