scholarly journals Denton’s Temporal Disaggregation Methods with the Application of Bangladesh’s Annual Gross Domestic Product for Quarterly Benchmarking and Forecasting

2021 ◽  
Author(s):  
Mohammad Rafiqul Islam
Keyword(s):  
Gross Domestic Product ◽  
R Package ◽  
Original Method ◽  
Base Metals ◽  
Mathematical Methods ◽  
The Real ◽  
Mean Squared Errors ◽  
Temporal Disaggregation ◽  
Difference Methods ◽  
Better Than

<p>Different methods of temporal disaggregation are discussed in detail; mainly the methods developed by Denton in 1971 and other purely mathematical methods. First, the original method developed by Denton and its solution are described by referencing Denton’s original article. The Cholette–Dagum regression-based method (or Denton-Cholette method) is also included to enrich the comparison. Bangladesh’s annual export figures are then disaggregated into a quarterly series by Denton’s additive and proportional (first and second difference) methods, and the Denton-Cholette additive and proportional (first and second difference) methods by using R package “tempdisagg”. The quarterly imports of capital goods and others (Iron, steel and other base metals; and capital machinery) in Bangladesh are used as the indicator series for the fiscal years FY2009 to FY2019. By comparing the estimated series with the real quarterly exports series, with the aid of root mean squared errors, it is concluded that the Denton-Cholette additive method (the first difference) performs better than the Denton-Cholette’s proportional variants as well as Denton’s additive and proportional variants.<b></b></p>

scholarly journals Denton’s Temporal Disaggregation Methods with the Application of Bangladesh’s Annual Gross Domestic Product for Quarterly Benchmarking and Forecasting

2021 ◽  
Author(s):  
Mohammad Rafiqul Islam
Keyword(s):  
Gross Domestic Product ◽  
R Package ◽  
Original Method ◽  
Base Metals ◽  
Mathematical Methods ◽  
The Real ◽  
Mean Squared Errors ◽  
Temporal Disaggregation ◽  
Difference Methods ◽  
Better Than

<p>Different methods of temporal disaggregation are discussed in detail; mainly the methods developed by Denton in 1971 and other purely mathematical methods. First, the original method developed by Denton and its solution are described by referencing Denton’s original article. The Cholette–Dagum regression-based method (or Denton-Cholette method) is also included to enrich the comparison. Bangladesh’s annual export figures are then disaggregated into a quarterly series by Denton’s additive and proportional (first and second difference) methods, and the Denton-Cholette additive and proportional (first and second difference) methods by using R package “tempdisagg”. The quarterly imports of capital goods and others (Iron, steel and other base metals; and capital machinery) in Bangladesh are used as the indicator series for the fiscal years FY2009 to FY2019. By comparing the estimated series with the real quarterly exports series, with the aid of root mean squared errors, it is concluded that the Denton-Cholette additive method (the first difference) performs better than the Denton-Cholette’s proportional variants as well as Denton’s additive and proportional variants.<b></b></p>

scholarly journals Application of energy dissipation and damping structure in the reinforcement of shear wall in concrete engineering

Open Physics ◽  
2020 ◽  
Vol 18 (1) ◽  
pp. 631-641
Author(s):  
Shujuan Yang
Keyword(s):  
Energy Dissipation ◽  
Design Process ◽  
Large Earthquake ◽  
Shear Wall ◽  
Original Method ◽  
Steel Technology ◽  
Dissipation Structure ◽  
Shear Damping ◽  
Better Than

AbstractIn view of the problem of large earthquake displacement in the use of the original concrete engineering shear wall reinforcement method, the energy dissipation and damping structure is used to design the energy dissipation and damping structure reinforcement method in the concrete engineering shear wall. According to the design process of the set method, the anti-vibration coefficient of the concrete shear wall is tested. The energy dissipation structure is used to construct a shear damping wall, and the damper is added to the original shear wall. The concrete shear wall is strengthened by sticking steel technology. So far, the design of shear wall reinforcement method based on the energy dissipation structure has been completed. Compared with the original method, the displacement distance of this method is lower than that of the original method. In conclusion, the effect of shear wall reinforcement method based on the energy dissipation structure is better than that of the original method.

scholarly journals A Real-Time Structure of Attitude Algorithm for High Dynamic Bodies

2017 ◽  
Vol 2017 ◽  
pp. 1-8
Author(s):  
Xingcheng Li ◽  
Shuangbiao Zhang
Keyword(s):  
Real Time ◽  
Time Structure ◽  
Flow Diagram ◽  
The Real ◽  
Time Problem ◽  
Conventional Structure ◽  
High Dynamic ◽  
Two Stages ◽  
Better Than ◽  
Attitude Matrix

To solve the real-time problem of attitude algorithm for high dynamic bodies, a real-time structure of attitude algorithm is developed by analyzing the conventional structure that has two stages, and a flow diagram of a real-time structure for a Matlab program is provided in detail. During the update of the attitude matrix, the real-time structure saves every element of attitude matrix in minor loop in real time and updates the next attitude matrix based on the previous matrix every subsample time. Thus, the real-time structure avoids lowering updating frequency, though the multisubsample algorithms are used. Simulation and analysis show that the real-time structure of attitude algorithm is better than the conventional structure due to short update time of attitude matrix and small drifting error, and it is more appropriate for high dynamic bodies.

Improved Tercom Based on Fading Factor

2011 ◽  
Vol 143-144 ◽  
pp. 770-774 ◽  
Author(s):  
Shou Lei Lu ◽  
Long Zhao ◽  
Chang Yun Zhang
Keyword(s):  
Correlation Function ◽  
Real Data ◽  
Angle Error ◽  
The Real ◽  
Velocity Error ◽  
Speed Error ◽  
Fading Factor ◽  
Yaw Angle ◽  
Better Than

In order to solve the problem of the traditional Tercom, which is sensitive to the speed error and yaw angle error, an improved Tercom approach using with fading factor is introduced. The basic idea of this approach is to estimate the navigation position by a novel correlation function. The correlation function is calculated by weighted historical measurements. Experiment results with the real data show that this approach performs better than the traditional Tercom with regard to overcoming velocity error and yaw angle error.

scholarly journals Impact of Unusual Features in Credit Scoring Problem

2020 ◽  
Author(s):  
Luiz Felipe Vercosa ◽  
Rodrigo Lira ◽  
Rodrigo Monteiro ◽  
Kleber Silva ◽  
Jailson Magalhaes ◽  
...  
Keyword(s):  
Multilayer Perceptron ◽  
Demographic Data ◽  
Credit Scoring ◽  
Financial Data ◽  
Unusual Feature ◽  
The Real ◽  
Kolmogorov Smirnov ◽  
Small Improvement ◽  
Better Than

Standard features used for Credit Scoring includes mainly registration and financial data from customers. However, exploring new features is of great interest for financial companies, since slight improvements in the person score directly impact the company revenue. In this work, we categorize features from open credit scoring datasets and compare them with the features found in a real company dataset. The company dataset contains unusual feature groups such as historical, geolocation, web behavior, and demographic data. We performed bivariate tests using the Kolmogorov-Smirnov metric and features to assess the performance of the particular feature groups. We also generated a score of good payer by using AdaBoost, Multilayer Perceptron, and XGBoost algorithms. Then, we analyzed the results with different metrics and compared them with the real company results. Our main finding was that these features added a small improvement to current datasets. We also identified the most promising feature groups and noticed that the tuned XGBoost performed better than the company solution in three out of four deployed metrics.

scholarly journals Penerapan Strategi Pembelajaran Circuit Learning: Suatu Upaya dalam Meningkatkan Hasil Belajar Siswa

2019 ◽  
Vol 9 (2) ◽  
pp. 285
Author(s):  
Syahrial Syahrial
Keyword(s):  
Learning Outcomes ◽  
Learning Strategy ◽  
Alternative Hypothesis ◽  
Mathematics Learning ◽  
Control Group ◽  
Test Analysis ◽  
The Real ◽  
Randomized Control ◽  
Affective Domains ◽  
Better Than

This research is motivated by the low student mathematics learning outcomes. The influencing factors are inactive students and lack of communication between students and students. This study aims to determine the effect of the application of the circuit learning strategy to students' learning outcomes in the cognitive and effective domains. This type of research is pre-experimental and the research design used is randomized control group only design. Based on the final test of learning outcomes obtained an average of mathematics learning outcomes in the experimental class 79.3 and the average mathematics learning outcomes of the control class 70. The results of the t-test analysis obtained tcount = 3.89 and ttable = 1.667 at the real level of 0.05. It is concluded that tcount> ttable accepts an alternative hypothesis (H1) that is the mathematics learning outcomes of the experimental class students is better than the control class. Analysis of the data in the affective domain obtained zcount = 3.83 and ztable = 1.64 at the real level of 0.05 thus zcount> ztable, in other words Hi is accepted meaning that student learning activities in the experimental class are better than the control class. Based on data analysis in the cognitive and affective domains it can be concluded that there is an influence of the application of the circuit learning strategy to student mathematics learning outcomes.

scholarly journals Modified ratio estimators of population mean using linear combination of co-efficient of skewness and quartile deviation

2013 ◽  
Vol 31 (1) ◽  
pp. 39 ◽  
Author(s):  
M. Iqbal Jeelani ◽  
S. Maqbool
Keyword(s):  
Linear Combination ◽  
Auxiliary Variable ◽  
Degree Of Approximation ◽  
Linear Combinations ◽  
Study Variable ◽  
Population Mean ◽  
Mean Squared Errors ◽  
Ratio Estimators ◽  
Coefficient Of Skewness ◽  
Better Than

The present paper deals with the estimation of population mean of the study variable using the linear combination of known population values of coefficient of skewness and quartile deviation of auxiliary variable. Two modified ratio estimators for estimation of population mean of the study variable involving the above linear combinations are being used. Mean squared errors and biases up to the first degree of approximation are derived and compared with the proposed modified ratio estimators. The proposed modified ratio estimators perform better than the existing ratio estimators. The empirical study has been carried out in support of the results.

Analisis Pengaruh Utang terhadap Perekonomian dan Kemiskinan di Indonesia Periode 1949-2017

2018 ◽  
Vol 1 (1) ◽  
pp. 1-24
Author(s):  
Dedi Junaedi ◽  
Muhammad Rizal Arsyad
Keyword(s):  
Gross Domestic Product ◽  
Foreign Debt ◽  
National Income ◽  
National Development ◽  
Secondary Data ◽  
Development Planning ◽  
Debt Management ◽  
Domestic Product ◽  
Population Number ◽  
Better Than

Since  independence,  Indonesia   has   experienced  seven   changes   of   national leadership. Starting from  Soekarno, Soeharto, BJ Habibie, Abdurahman Wahid, Megawati, Susilo Bambang Yudhoyono (SBY), to Joko Widodo. During that time, foreign debt is always present to patch the development budget deficit. Debt is expected to move the wheels of the economy, create growth, create jobs, and alleviate poverty. This study aims  to  analyze  the  effect  of  debt, inflation  and  government regime differences on economic growth and poverty levels in Indonesia, from the Old Order era, the New Order, to the Reform Order. The study used  secondary data obtained from Bank Indonesia,  the National  Development  Planning  Agency (Bappenas), the Central  Bureau of Statistics (BPS), the World Bank, and other reference sources such as books, journals and scientific  papers. The data used  are  the value of  foreign debt, national income (Gross Domestic Product / GDP), population,  number and ratio of  the poor, inflation  rate in the period 1949 - 2017. The results  of  multiple  regression analysis  with  dummy variable (using  Eviews 10 application  program) show the  following  results:  Foreign debt has  correlation with  the national economic condition, in particular the value of Indonesian Gross Domestic Product and the level  of poverty. Debt tends to increase the value of GDP and reduce poverty. In terms of debt governance as a driver of the economy and poverty, the Suharto and Habibie Era tend to be different and better than the Sukarno Era. While the debt management of Era Abdurrahman Wahid, Era Megawati, Era SBY and Era Jokowi no different or no better than Era Sukarno. Although  nationally  can increase GDP and reduce poverty, debt can not improve people's prosperity (read per capita income). Foreign debt even tends to reduce the level of welfare of the people. This applies to all government regimes.    

scholarly journals Formulation of Huge Lattice Spatial Adjacency Matrices With Non-rectangular Shape of Socio-economic Grid-Cell Data for the Analysis of Sustainable Economy With High Computational Efficiency

2018 ◽  
Vol 9 (2) ◽  
pp. 1
Author(s):  
Gigih Fitrianto ◽  
Shojiro Tanaka ◽  
Ryuei Nishii
Keyword(s):  
Adjacency Matrix ◽  
Regional Analysis ◽  
Spatial Relationship ◽  
Grid Cell ◽  
R Package ◽  
Rectangular Lattice ◽  
General Process ◽  
The Sustainable Development ◽  
The Real ◽  
Cell Data

The advantage of using grid-cell data for socio-economic analysis should be the feasibility to incorporate satellite data that will enrich the regional analysis and has an important role to observe the relationship between socio-economics and nature. This advancement corresponds to the sustainable development goals that balance the socio-economic quality in harmony. In order to perform the analysis, formulation of a spatial adjacency matrix has an important role to project the spatial relationship within regions. However, no precedent research provided a practical formulation for the spatial adjacency matrix in grid-cell data structure (Fitrianto & Tanaka, 2017).The general process that used shapefiles solely, which store geometry and attribute information for the spatial features (ESRI, 1998) to construct the adjacency matrix is not suitable. The problem arises due to the existence of NA cells that represent non-inhabitant areas such as water bodies, yet the shapefile does not contain this information inside the municipal body. The NA cells create a non-rectangular lattice and it is important to exclude them in the analysis to correctly project the real information.This article provides a method to precisely project the real information by using Kronecker product to construct the adjacency matrix and applying a projection matrix to eliminate the NA cells (Tanaka & Nishii, 2009). It showed eminent efficiency compared with commonly used R package called spdep. Experimental results verified that this method, even for huge dimension with a trillion elements, produces more than 2000 times faster elapsed time than the package.

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