scholarly journals Application of the method of robust estimation by posterior variance in detecting the raw error of geodetic control network

2021 ◽  
Vol 62 (2) ◽  
pp. 57-64
Author(s):  
Khanh Quoc Pham ◽  
Thanh Kim Thi Nguyen ◽  
Keyword(s):  
Robust Estimation ◽  
Statistical Estimation ◽  
Random Model ◽  
Least Square ◽  
The Other ◽  
Control Network ◽  
Adjustment Problem ◽  
Good Efficiency ◽  
Processing Data ◽  
Posterior Variance

If the raw error appears in set of measuring data, it affects significantly on adjustment results and displacement values of monitoring points, thus conclusion about displacement of works is incorrect. The method of robust estimation by posterior variance for detecting the raw error bases on principle of choosing weight of robust estimation, this is the other type that belong to the least square statistical estimation, which is used to process the measuring data with raw error when they were given into random model of the adjustment problem. Through processing data of Son La hydroelectricity construction network, the obtained result proved that the method good efficiency, it not only finds the measuring value that contains the raw error, but also determines the value of the raw error nearly accurately, moreover, it is able to detect many raw error in the set of data.

GPS-DERIVED SECULAR VELOCITY FIELD AROUND SANGIHE ISLAND AND ITS IMPLICATION TO THE MOLUCCA SEA SEISMICITY

GEOMATIKA ◽  
2020 ◽  
Vol 26 (2) ◽  
pp. 107
Author(s):  
Leni Sophia Heliani ◽  
Cecep Pratama ◽  
Parseno Parseno ◽  
Nurrohmat Widjajanti ◽  
Dwi Lestari
Keyword(s):  
Surface Displacement ◽  
Active Regions ◽  
Least Square ◽  
The Other ◽  
Gps Data ◽  
West Side ◽  
Active Deformation ◽  
Secular Motion ◽  
Small Change ◽  
Linear Least Square

<p><em>Sangihe-Moluccas region is the most active seismicity in Indonesia. Between 2015 to 2018 there is four M6 class earthquake occurred close to the Sangihe-Moluccas region. These seismic active regions representing active deformation which is recorded on installed GPS for both campaign and continuous station. However, the origin of those frequent earthquakes has not been well understood especially related to GPS-derived secular motion. Therefore, we intend to estimate the secular motion inside and around Sangihe island. On the other hand, we also evaluate the effect of seismicity on GPS sites. Since our GPS data were conducted on yearly basis, we used an empirical global model of surface displacement due to coseismic activity. We calculate the offset that may be contained in the GPS site during its period</em><em>. </em><em>We remove the offset and estimate again the secular motion using linear least square. Hence, in comparison with the secular motion without considering the seismicity, we observe small change but systematically shifting the motion. We concluded the seismicity in the Molucca sea from 2015 to 2018 systematically change the secular motion around Sangihe Island at the sub-mm level. Finally, we obtained the secular motion toward each other between the east and west side within 1 to 5.5 cm/year displacement. </em></p>

scholarly journals Discussion of Identification, Estimation and Approximation of Risk under Interventions that Depend on the Natural Value of Treatment Using Observational Data, by Jessica Young, Miguel Hernán, and James Robins

2014 ◽  
Vol 3 (1) ◽  
Author(s):  
Mark J. van der Laan ◽  
Alexander R. Luedtke ◽  
Iván Díaz
Keyword(s):  
Statistical Model ◽  
Observational Data ◽  
Robust Estimation ◽  
Statistical Estimation ◽  
Estimation Problem ◽  
Target Parameter ◽  
Adaptive Parameters ◽  
The Mean ◽  
Data Adaptive ◽  
Statistical Estimation Problem

AbstractYoung, Hernán, and Robins consider the mean outcome under a dynamic intervention that may rely on the natural value of treatment. They first identify this value with a statistical target parameter, and then show that this statistical target parameter can also be identified with a causal parameter which gives the mean outcome under a stochastic intervention. The authors then describe estimation strategies for these quantities. Here we augment the authors’ insightful discussion by sharing our experiences in situations where two causal questions lead to the same statistical estimand, or the newer problem that arises in the study of data adaptive parameters, where two statistical estimands can lead to the same estimation problem. Given a statistical estimation problem, we encourage others to always use a robust estimation framework where the data generating distribution truly belongs to the statistical model. We close with a discussion of a framework which has these properties.

scholarly journals EXPERIENCE OF ESTIMATION AND REDUCTION OF NOISE AND VIBRATION OF INDUSTRIAL ENTERPRISES OF RUSSIA

Akustika ◽  
2019 ◽  
Vol 32 ◽  
pp. 247-250 ◽  
Author(s):  
Andrey Vasilyev ◽  
Vladimir Sannikov ◽  
Natalia Tyurina
Keyword(s):  
Vibration Reduction ◽  
The Other ◽  
Joint Stock Company ◽  
Operating Characteristics ◽  
Noise Levels ◽  
Stock Company ◽  
Good Efficiency ◽  
Noise And Vibration ◽  
Industrial Enterprises ◽  
Noise And Vibration Reduction

Industrial noise and vibration leads to the workers disease, fatigue breakdown of pipeline and apparatus junction, decreasing of machine operating characteristics etc. According to statistics, amblyacousia and vibration illness takes the first places among all the other professional diseases. Investigations of noise and vibration levels at the operator's positions of "Volgoelectromontazh-1" Joint Stock Company of Russian Federation were done. Measurements were carried out according to existing methods and standards. In total 27 operator's positions were investigated in the main building and in the shop of consumer goods. The results of measurements showed, that for some positions (pendulum saw, cutting-off lathe, presses etc.) there were significant excesses of the sanitary standards of noise levels. Complex of measures of noise reduction was developed, including technical decisions and organizing measures. Results of measures implementation shows good efficiency of noise and vibration reduction.

scholarly journals PENGUKURAN EFISIENSI AGROINDUSTRI PANGAN LOKAL ENBAL DENGAN PENDEKATAN DATA ENVELOPMENT ANALYSIS

2017 ◽  
Vol 13 (1) ◽  
pp. 1
Author(s):  
Natelda R Timisela ◽  
Ester D Leatemia ◽  
Febby J Polnaya ◽  
Rachel Breemer
Keyword(s):  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Production Cost ◽  
Efficiency Analysis ◽  
The Other ◽  
Data Envelopment ◽  
Sago Starch ◽  
Good Efficiency ◽  
Business Efficiency ◽  
Production Increase

The current research aimed to analyze the relative efficiency level of enbal (sago starch) agro-industries. The relative efficiency analysis on 32 DMUs of enbal agro-industries showed that 40,63% of the industries were efficient and 59.38% were inefficient. Every efficient DMU became the reference for the inefficient DMUs based on the suggested quality. Each DMU of the enbal agro-industries has not reached a good efficiency level, which was indicated by the average relative efficiency scale of 0.886. This was a relatively low value, and improvements on the use of production input were needed. The analysis result on the DMUs of the enbal agro-industries which were on constant return to scale position were 40,62%. This showed that enbal agro-industries actors have applied production input efficiently, for the production increase was equal to the use of input. In other words, the use of input was more proportional. The DMUs of enbal agro-industries which were on decreasing return to scale position were 15,63%. This showed that the use of production input had been unsuitable so that the output decreases and the production cost increased. Meanwhile, the DMUs that were on increasing return to scale position were 43,75%. This showed that the industry actors who used certain production input would create efficient DMUs. On the other hand, the input excess would possibly decrease the output. As a result, the industry actors should be concerned about the use of production input in order to establish business efficiency.

ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KONSUMSI MASYARAKAT DI PROVINSI ACEH

2014 ◽  
Vol 1 (2) ◽  
Author(s):  
Tarmizi Gadeng
Keyword(s):  
Interest Rate ◽  
Inflation Rate ◽  
Econometric Model ◽  
Least Square ◽  
The Other ◽  
Ordinary Least Square ◽  
Other Hand ◽  
The Interest Rate ◽  
The Impact

The main objective of this study is to find out the impact of the inflation rate,percapita income as wall as the interest rate on the household comsumption of the population of Aceh.Secondary data 1983 – 2008 are collected or couning from various ageucig and instution and ordinary least square econometric model used as a method of analysis.            The result of the study tells us that the rate of inflation and the percapita income hare positive and significoutly effect on the household consumtion while the rate of interest on the other hand statistically has a negative and not significant effect on the house hold consumption. The interest rate which reflect the influence of the consumption has a positive, not significantly and in elactic. 

An Automatic Measurement for Pipeline Thickness Detection Using Ultrasonic Method

2012 ◽  
Vol 229-231 ◽  
pp. 1427-1436
Author(s):  
Bo Dai ◽  
Ming Lu Ma
Keyword(s):  
Ultrasonic Wave ◽  
Wall Thickness ◽  
Ultrasonic Method ◽  
Automatic Measurement ◽  
The Other ◽  
Ultrasound Probe ◽  
Detection Algorithms ◽  
Decision Error ◽  
Processing Data ◽  
Pipeline Corrosion

The measurement of wall thickness of pipelines is an important procedure of pipeline corrosion inspection. This procedure can be done automatically in a computer by processing data acquired from ultrasound probe, forming C-scan image, and running thickness detection algorithms. This paper presents in detail the comparison of three ways of processing, which are FFT algorithm, twice FFT algorithm, and improved twice FFT algorithm. The final results show that improved twice FFT algorithm has the best precision compared with the other two algorithms. It has higher accuracy than FFT algorithm and less decision error than twice FFT algorithm. Using this method, defects of a pipeline can be identified and measured effectively using ultrasonic wave.

scholarly journals Panel FMOLS Model Analysis of the Effects of Livestock Support Policies on Sustainable Animal Presence in Turkey

2020 ◽  
Vol 12 (8) ◽  
pp. 3444
Author(s):  
Hilmi Erdal ◽  
Gülistan Erdal
Keyword(s):  
Cross Section ◽  
Educational Level ◽  
Least Square ◽  
The Other ◽  
Utilization Rate ◽  
Ordinary Least Square ◽  
Agricultural Income ◽  
Time Period ◽  
Presence Data ◽  
Animal Presence

This paper studied the effects of livestock support policies applied in Turkey. The effects of the support policies were built upon the change in the cattle presence data. Full Modified Ordinary Least Square (FMOLS) model was used in the analysis. In the panel dataset which was created for the study, the time period was taken as the years between 2004 and 2014 and the cross-section was 26 sub-regions. The results of panel FMOLS test for both the total livestock supports and each support component presents important details. According to the results of the analyses, a 1.0% increase in livestock supports leads to a 0.3% increase in animal presence in Turkey. On the other hand, it is stated that the utilization rate of the support payments is high in the western regions, whereas it is comparatively low in the eastern and interior regions in Turkey although the appliance of the policies is carried out in the same way, since animal presence in western regions in terms of fertile races is higher. This situation reveals the importance of breeders of high conscience, educational level, and agricultural income besides organized associations and provincial organizations.

Schrödinger-Iike equations for spin measurements, states, and wave functions, based on the statistical approach of Guiasu

1994 ◽  
Vol 72 (3-4) ◽  
pp. 130-133
Author(s):  
Paul B. Slater
Keyword(s):  
Statistical Estimation ◽  
Statistical Approach ◽  
Probability Distributions ◽  
Wave Functions ◽  
The Other ◽  
Weight Functions ◽  
Information Theoretic ◽  
Mixed Spin ◽  
Spin Measurements ◽  
Schrödinger Form

Guiasu employed a statistical estimation principle to derive time-independent Schrödinger equations for the position but, as is usual, not the spin of a particle. Here, on the other hand, this principle is used to obtain Schrödinger-like equations for the spin but not the position of a particle. Steady states are described by continuous probability distributions, obtained by information-theoretic arguments, over spin measurements, states, and wave functions. These distributions serve as weight functions for orthogonal polynomials. Associated "wave functions," products of the polynomials and the square root of the weight function, satisfy differential equations, reducing to time-independent Schrödinger form at the point corresponding to the fully mixed spin-1/2 state.

Three weighted residual methods based on Jeffery-Hamel flow

2014 ◽  
Vol 24 (3) ◽  
pp. 654-668 ◽  
Author(s):  
D.D. Ganji ◽  
Mohammad Hatami
Keyword(s):  
Analytical Methods ◽  
Design Methodology ◽  
Least Square Method ◽  
Numerical Approach ◽  
Least Square ◽  
The Other ◽  
Governing Equations ◽  
Science And Engineering ◽  
Content Type ◽  
Linear Differential

Purpose – The purpose of this paper is to demonstrate the eligibility of the weighted residual methods (WRMs) applied to Jeffery-Hamel Flow. Selecting the most appropriate method among the WRMs and discussing about Jeffery-Hamel flow's treatment in divergent and convergent channels are the other important purposes of the present research. Design/methodology/approach – Three analytical methods (collocation, Galerkin and least square method) have been applied to solve the governing equations. The reliability of the methods is also approved by a comparison made between the forth order Runge-Kutta numerical method. Findings – The obtained solutions revealed that WRMs can be simple, powerful and efficient techniques for finding analytical solutions in science and engineering non-linear differential equations. Originality/value – It could be considered as a first endeavor to use the solution of the Jeffery-Hamel flow using these kind of analytical methods along with the numerical approach.

scholarly journals Computational Methodologies for Analyzing, Modeling and Controlling Gene Regulatory Networks

2010 ◽  
Vol 2 ◽  
pp. BECB.S5594 ◽  
Author(s):  
Zahra Zamani ◽  
Amirhossein Hajihosseini ◽  
Ali Masoudi-Nejad
Keyword(s):  
Molecular Biology ◽  
Computational Methods ◽  
Gene Regulatory Networks ◽  
Regulatory Networks ◽  
The Other ◽  
Therapeutic Interventions ◽  
Control Network ◽  
Deep Insight ◽  
Paper Briefly ◽  
Gene Regulatory

Molecular biology focuses on genes and their interactions at the transcription, regulation and protein level. Finding genes that cause certain behaviors can make therapeutic interventions more effective. Although biological tools can extract the genes and perform some analyses, without the help of computational methods, deep insight of the genetic function and its effects will not occur. On the other hand, complex systems can be modeled by networks, introducing the main data as nodes and the links in-between as the transactions occurring within the network. Gene regulatory networks are examples that are modeled and analyzed in order to gain insight of their exact functions. Since a cell's specific functionality is greatly determined by the genes it expresses, translation or the act of converting mRNA to proteins is highly regulated by the control network that directs cellular activities. This paper briefly reviews the most important computational methods for analyzing, modeling and controlling the gene regulatory networks.

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