Parametric and nonparametric identification of the distribution law by interval data

Herein, the main features and rules of using guaranteed values when analyzing the quality of rocket - space equipment products are considered. The definition of the guaranteed value and the form of its presentation is given. It is indicated that guaranteed value is distributed and is characterized by the frequency distribution law. The main methods of representation and conversion of guaranteed values are statistical. Examples of determining the basic characteristics of guaranteed values are given.

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METHOD FOR ESTIMATING PARAMETERS OF GENERALIZED MODEL OF LUMINOSITY OF SPACE OBJECTS BASED ON DATA FROM DIFFERENT RANGES

Issues of radio electronics ◽

10.21778/2218-5453-2018-3-57-62 ◽

2018 ◽

pp. 57-62

Author(s):

E. I. Gundrova ◽

A. P. Lukyanov ◽

A. V. Pruglo ◽

S. S. Ravdin

Keyword(s):

Phase Angle ◽

Real Data ◽

Model Data ◽

Space Object ◽

Distribution Law ◽

Generalized Model ◽

Measurement Results ◽

Space Objects ◽

Reference Distance

Previously, the authors have proposed a generalized model for estimating the distribution law parameters of luminosity of space objects, assuming that not only successful but also unsuccessful measurement results are taken into account. Estimation was done on the data of observations under similar conditions: phase angle, range, sensibility of the telescope. The algorithm under such limitations was tested on model data and real measurements. Therefore, obtained results showed that algorithm did not fit for cases of changing range of space objects. In this work, the new algorithm, that allows to merge information from different ranges to the observed space object, is proposed. In this case, luminosity values are reduced to the ones at a reference distance of 1000 km considering sensibility of the telescope. To obtain estimates of the parameters the Cramer-Mises-Smirnov criterion is used. This algorithm was tested on model data and results of its work on real data were obtained. The data showed correct work of the algorithm and also confirmed the practicability of organization the registration of unsuccessful measurements.

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Research on road engineering detection method based on GPR technology

E3S Web of Conferences ◽

10.1051/e3sconf/202016504014 ◽

2020 ◽

Vol 165 ◽

pp. 04014

Author(s):

Liu Tao ◽

Li Jia ◽

Zheng Zhi-gang ◽

Huang Zhi ◽

Jiang Jian ◽

...

Keyword(s):

Parameter Setting ◽

Non Destructive Testing ◽

Practical Application ◽

Distribution Law ◽

Destructive Testing ◽

Road Engineering ◽

The Road ◽

Image Optimization ◽

Testing Technology ◽

Non Destructive

GPR is an effective non-destructive testing technology. This paper introduces its composition principle and operation method, explains the process of parameter setting and image optimization, obtains the dielectric constant of 10000 points, compares it with the density, and then obtains the uniformity distribution law of construction quality based on image. By calibrating the thickness of the road surface, the effective detection of road diseases can be realized, and the theoretical basis and practical application conditions of GPR technology can be clarified.

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Dynamic Time Interval Data Representation in Scalable Financial Time Series Pattern Recognition

Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence - CSAI '18 ◽

10.1145/3297156.3297235 ◽

2018 ◽

Author(s):

Kwan-Hua Sim ◽

Kwan-Yong Sim ◽

Nicholas Bong

Keyword(s):

Time Series ◽

Pattern Recognition ◽

Financial Time Series ◽

Interval Data ◽

Data Representation ◽

Time Interval ◽

Financial Time ◽

Dynamic Time

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Probability Characteristics, Area Reduction, and Wind Directionality Effects of Extreme Pressure Coefficients of High-Rise Buildings

Applied Sciences ◽

10.3390/app11157121 ◽

2021 ◽

Vol 11 (15) ◽

pp. 7121

Author(s):

Shouke Li ◽

Feipeng Xiao ◽

Yunfeng Zou ◽

Shouying Li ◽

Shucheng Yang ◽

...

Keyword(s):

Probability Distribution ◽

Pressure Coefficient ◽

Wind Pressure ◽

Extreme Pressure ◽

Distribution Law ◽

Distribution Fitting ◽

Pressure Coefficients ◽

High Rise ◽

Area Reduction ◽

The Mean

Wind tunnel tests are carried out for the Commonwealth Advisory Aeronautical Research Council (CAARC) high-rise building with a scale of 1:400 in exposure categories D. The distribution law of extreme pressure coefficients under different conditions is studied. Probability distribution fitting is performed on the measured area-averaged extreme pressure coefficients. The general extreme value (GEV) distribution is preferred for probability distribution fitting of extreme pressure coefficients. From the comparison between the area-averaged coefficients and the value from GB50009-2012, it is indicated that the wind load coefficients from GB50009-2012 may be non-conservative for the CAARC building. The area reduction effect on the extreme wind pressure is smaller than that on the mean wind pressure from the code. The recommended formula of the area reduction factor for the extreme pressure coefficient is proposed in this study. It is found that the mean and the coefficient of variation (COV) for the directionality factors are 0.85 and 0.04, respectively, when the orientation of the building is given. If the uniform distribution is given for the building’s orientation, the mean value of the directionality factors is 0.88, which is close to the directionality factor of 0.90 given in the Chinese specifications.

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Water Particles Monitoring in the Atacama Desert: SPC Approach Based on Proportional Data

Axioms ◽

10.3390/axioms10030154 ◽

2021 ◽

Vol 10 (3) ◽

pp. 154

Author(s):

Anderson Fonseca ◽

Paulo Henrique Ferreira ◽

Diego Carvalho do Nascimento ◽

Rosemeire Fiaccone ◽

Christopher Ulloa-Correa ◽

...

Keyword(s):

Control Chart ◽

Average Run Length ◽

Atacama Desert ◽

Real Data ◽

Interval Data ◽

Total Quality ◽

Statistical Process ◽

Monte Carlo Simulation Study ◽

Run Length ◽

Study Results

Statistical monitoring tools are well established in the literature, creating organizational cultures such as Six Sigma or Total Quality Management. Nevertheless, most of this literature is based on the normality assumption, e.g., based on the law of large numbers, and brings limitations towards truncated processes as open questions in this field. This work was motivated by the register of elements related to the water particles monitoring (relative humidity), an important source of moisture for the Copiapó watershed, and the Atacama region of Chile (the Atacama Desert), and presenting high asymmetry for rates and proportions data. This paper proposes a new control chart for interval data about rates and proportions (symbolic interval data) when they are not results of a Bernoulli process. The unit-Lindley distribution has many interesting properties, such as having only one parameter, from which we develop the unit-Lindley chart for both classical and symbolic data. The performance of the proposed control chart is analyzed using the average run length (ARL), median run length (MRL), and standard deviation of the run length (SDRL) metrics calculated through an extensive Monte Carlo simulation study. Results from the real data applications reveal the tool’s potential to be adopted to estimate the control limits in a Statistical Process Control (SPC) framework.

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