Prediction of Suspended Solids in Urban Sewers by Transfer Function Model

There is increasing concern about the sediments transported in urban storm sewers. Progress has been made on the measurement of suspended solids, and telemetry systems have been installed that permit remote access to flow, temperature and suspended solids concentration data. Using observations obtained in the main trunk sewer in Brussels, Belgium, a transfer function model for the prediction of suspended load concentration from temperature and discharge measurements was developed. This model is based on the transfer function methodology developed by Box and Jenkins. It is shown that the transfer function model correctly tracks the suspended solids observations and makes reasonable forecasts. It provides a valid alternative for the determination of suspended solids in urban sewers from discharge and water temperature observations which are more easily measurable on line than suspended solids.

Download Full-text

Order-Determination of Transfer Function Model From Noisy Input-Output Signals

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)58351-2 ◽

1996 ◽

Vol 29 (1) ◽

pp. 4267-4272

Author(s):

J. Xin ◽

Y. Aoki ◽

H. Ohmori ◽

A. Sano

Keyword(s):

Transfer Function ◽

Transfer Function Model ◽

Input Output ◽

Function Model ◽

Noisy Input ◽

Order Determination

Download Full-text

Model Fungsi Transfer Input Ganda untuk Pemodelan Jakarta Islamic Index

Xplore Journal of Statistics ◽

10.29244/xplore.v7i3.149 ◽

2019 ◽

Vol 7 (3) ◽

Author(s):

Nur Laela Fitriani ◽

Pika Silvianti ◽

Rahma Anisa

Keyword(s):

Exchange Rate ◽

Transfer Function ◽

Multivariate Time Series ◽

Model Identification ◽

Transfer Function Model ◽

Function Model ◽

Jones Index ◽

Multiple Input ◽

Identification Stage ◽

Stage Estimation

Transfer function model with multiple input is a multivariate time series forecasting model that combines several characteristics of ARIMA models by utilizing some regression analysis properties. This model is used to determine the effect of output series towards input series so that the model can be used to analyze the factors that affect the Jakarta Islamic Index (JII). The USD exchange rate against rupiah and Dow Jones Index (DJI) were used as input series. The transfer function model was constructed through several stages: model identification stage, estimation of transfer function model, and model diagnostic test. Based on the transfer function model, the JII was influenced by JII at the period of one and two days before. JII was also affected by the USD exchange rate against rupiah at the same period and at one and two days before. In addition, the JII was influenced by DJI at the same period and also at period of one until five days ago. The Mean Absolute Prencentage Error (MAPE) value of forecasting result was 0.70% and the correlation between actual and forecast data was 0.77. This shows that the model was well performed for forecasting JII.

Download Full-text

Administrative Costs and Tariff Rates in the Presence of Customs Evasion: Evidence from Ecuador

Economies ◽

10.3390/economies9010021 ◽

2021 ◽

Vol 9 (1) ◽

pp. 21

Author(s):

Jazmín González Aguirre ◽

Alberto Del Villar

Keyword(s):

International Trade ◽

Transfer Function ◽

Gross Domestic Product ◽

Foreign Trade ◽

Transfer Function Model ◽

Administrative Cost ◽

Function Model ◽

Administrative Costs ◽

Tariff Rates ◽

Budgetary Expenditure

This paper seeks to assess the effectiveness of customs policies in increasing the resources devoted to controlling and inspection. Specifically, it seeks to analyze whether an increase in the administrative cost of collecting taxes on foreign trade in Ecuador contributes to reducing customs fraud. To this end, we identify and estimate a transfer function model (ARIMAX), considering information on foreign trade such as official international trade statistics report and tariff rates, as well as the execution of budgetary expenditure and Ecuador’s gross domestic product (GDP). The period under study includes quarterly series from 2006 to 2018. The results obtained by the model indicate that allocating greater material and budgetary resources to combat customs fraud does not always achieve the objective of reducing customs evasion.

Download Full-text