scholarly journals Modelling Tap Water Consumer Ratio

Mathematics ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1557
Author(s):  
Meltem Ekiz ◽  
Osman Ufuk Ekiz
Keyword(s):  
Tap Water ◽  
Least Square ◽  
Short Term ◽  
Third Order ◽  
Ordinary Least Square ◽  
Water Policies ◽  
Parameter Estimations ◽  
Air Temperatures ◽  
M Estimator ◽  
Curve Model

Increasing population and the rising air temperatures are known as factors that cause water depletion in the watersheds. Therefore, it is important to accurately predict the future ratios of tap water consumers using the same watershed to the population living in the specified area, to produce better water policies and to take the necessary measures. Predictions can be made by a growth curve model (GCM). Parameter estimations of the GCM are usually based on the ordinary least square (OLS) estimator. However, the outlier presence affects the estimations and the predictions, which are obtained by using the estimated model. The present article attempts to construct first- and third-order GCMs with robust least median square (LMS) and M estimators to make short-term predictions of ratios of tap water consumers. According to the findings, parameter estimations of the models, the outliers, and the predictions vary with respect to the estimators. The M estimator for short-term predictions is suggested for use, due to its robustness against outlier points.

scholarly journals KINERJA JACKKNIFE RIDGE REGRESSION DALAM MENGATASI MULTIKOLINEARITAS

2014 ◽  
Vol 3 (4) ◽  
pp. 146
Author(s):  
HANY DEVITA ◽  
I KOMANG GDE SUKARSA ◽  
I PUTU EKA N. KENCANA
Keyword(s):  
Linear Correlation ◽  
Ridge Regression ◽  
Minimum Variance ◽  
Sum Of Squares ◽  
Least Square ◽  
Bias Parameter ◽  
Ridge Estimator ◽  
Ordinary Least Square ◽  
Parameter Estimations

Ordinary least square is a parameter estimations for minimizing residual sum of squares. If the multicollinearity was found in the data, unbias estimator with minimum variance could not be reached. Multicollinearity is a linear correlation between independent variabels in model. Jackknife Ridge Regression(JRR) as an extension of Generalized Ridge Regression (GRR) for solving multicollinearity.  Generalized Ridge Regression is used to overcome the bias of estimators caused of presents multicollinearity by adding different bias parameter for each independent variabel in least square equation after transforming the data into an orthoghonal form. Beside that, JRR can  reduce the bias of the ridge estimator. The result showed that JRR model out performs GRR model.

scholarly journals The Factors Affecting Islamic Financing for Homeownership

2021 ◽  
pp. 48-54
Author(s):  
Neva Sunba Dena ◽  
◽  
Suhel Suhel ◽  
Imam Asngari ◽  
◽  
...  
Keyword(s):  
Household Income ◽  
Negative Impact ◽  
Least Square ◽  
Islamic Banks ◽  
Significant Positive Effect ◽  
Short Term ◽  
Ordinary Least Square ◽  
Study Results ◽  
Positive Effect

Indonesia has a significant and growing shortfall of housing. Existing supply is in poor condition and demand is rising for new units. Meanwhile, people's purchasing power to buy a house is still relatively low. Government overcomes added stock housing availability by collaborating with private developers to help meet the demand for housing needs. Islamic banks can provide funds to buy houses for the community. This study analyzes the effect of third-party fund (TPF), margin of homeownership financing (PPR), inflation, and household income on Islamic financing for homeownership. The analytical model used in this research is the ordinary least square with the Error Correction Model (ECM) method. The Ordinary Least Square (OLS) method in this study is used to see the relationship between the short-term and long-term effects of the independent variables on the dependent variable. The analytical tool used in this research is Econometric Views (EViews 10 Standard Edition for Windows). The study results show that in the short term, the TPF, PPR margin, inflation, and household income variables have a significant positive effect on homeownership financing in Islamic banks in Indonesia. The long term TPF, inflation, and household income variables have a significant positive effect on homeownership financing in Islamic banks in Indonesia, but the variable of PPR margin has a significant negative impact on sharia financing for homeownership.

scholarly journals PEMODELAN HARGA SAHAM INDEKS LQ45 MENGGUNAKAN REGRESI LINIER ROBUST M-ESTIMATOR: HUBER DAN BISQUARE

2015 ◽  
Vol 9 (1) ◽  
pp. 51-61
Author(s):  
Lexy J. Sinay ◽  
Mozart W. Talakua
Keyword(s):  
Least Square ◽  
Ordinary Least Square ◽  
M Estimator

Model ordinary least square (OLS) menjadi tidak efisien dan bias jika terdapat pelanggaran asumsi klasik. Salah satu penyebab terjadinya hal tersebut adalah terdapat observasi-observasi yang bersifat ekstrim, dimana observasi-observasi tersebut dapat memberi pengaruh (influence) pada model seperti outlier. Penelitian ini bertujuan untuk menganalisis model OLS dari harga saham (PRICE) pada indeks LQ45 berdasarkan faktor-faktor fundamental (PER, EPS, BV, ROE dan DER). Kemudian, menggunakan regresi linier robust M-estimator seperti estimator Huber dan bisquare untuk memodelkan model yang bebas outlier (influence), serta menganalisis dan mengkomparasi hasil pemodelan yang diperoleh menggunakan kedua metode tersebut untuk memperoleh model terbaik. Dengan demikian, metode yang digunakan dalam penelitian ini adalah Ordinary Least Square (OLS) dan robust M-estimator. Kedua metode ini digunakan untuk menganalisis data harga saham dan faktor-faktor fundamental indeks LQ45 pada periode Februari 2014. Hasil yang diperoleh adalah model M-estimator yakni estimator Huber dan bisquare dapat mengatasi masalah masalah outlier (influence) dan multikolinearitas pada model OLS. Dengan demikian, model regresi linear robust M-estimator dengan pembobot Huber dan bisquare lebih baik dibandingkan model OLS. Hasil perbandingan model Huber dan bisquare berdasarkan nilai-nilai kebaikan model diperoleh bahwa model bisquare lebih baik dibandingkan model Huber. Kemudian, hasil interpretasi model bisquare diperoleh bahwa PER, EPS, BV dan ROE memberi kontribusi positif terhadap harga saham (PRICE) indeks LQ45, sedangkan DER memberi kontribusi negatif terhadap harga saham (PRICE) indeks LQ45.

scholarly journals Effect of Capital Structure on the Profitability of Listed Insurance Firms in Nigeria

2019 ◽  
pp. 36-45
Keyword(s):  
Capital Structure ◽  
Least Square ◽  
Short Term ◽  
Financial Reports ◽  
Ordinary Least Square ◽  
Least Square Regression ◽  
Multiple Regression Technique ◽  
Insurance Firms ◽  
Ordinary Least Square Regression

This study examined the effect of capital structure on profitability of listed insurance firms in Nigeria for the period 2013-2017 The study used correlation research design. The source of data which were collected from the published annual financial reports of studies listed insurance firms in Nigeria. The population of the study comprised of the 28 listed insurance firms. The sample size was fifteen (15) listed insurance firms in Nigeria. The data collected were analyzed with the aid of OLS multiple regression technique. Using 75 firm-year paneled observations, the result of the ordinary least square regression showed that short-term debt has a negative and significant effect on the profitability of listed insurance firms in Nigeria. In addition, long-term debt has a positive and significant effect on profitability. Finally, premium growth has positively significant effect on profitability of listed insurance firms. Based on the findings, the study recommends that the management of listed insurance firms should strive towards having optimum capital structure by increasing their equity level and reducing dependence on debts so as to avoid being cash strapped and debt ridden.

Effect of Capital Structure on the Profitability of Listed Insurance Firms in Nigeria

2019 ◽  
Vol 1 (2) ◽  
pp. 36-45
Author(s):  
Abdul Kerim ◽  
John Alaji ◽  
Idachaba Odekina Innocent
Keyword(s):  
Capital Structure ◽  
Jel Classification ◽  
Least Square ◽  
Short Term ◽  
Financial Reports ◽  
Ordinary Least Square ◽  
Multiple Regression Technique ◽  
Insurance Firms ◽  
Ordinary Least Square Regression

This study examined the effect of capital structure on profitability of listed insurance firms in Nigeria for the period 2013-2017 The study used correlation research design. The source of data which were collected from the published annual financial reports of studies listed insurance firms in Nigeria. The population of the study comprised of the 28 listed insurance firms. The sample size was fifteen (15) listed insurance firms in Nigeria. The data collected were analyzed with the aid of OLS multiple regression technique. Using 75 firm-year paneled observations, the result of the ordinary least square regression showed that short-term debt has a negative and significant effect on the profitability of listed insurance firms in Nigeria. In addition, long-term debt has a positive and significant effect on profitability. Finally, premium growth has positively significant effect on profitability of listed insurance firms.  Based on the findings, the study recommends that the management of listed insurance firms should strive towards having optimum capital structure by increasing their equity level and reducing dependence on debts so as to avoid being cash strapped and debt ridden. JEL classification: C88, G22, G24, G29

scholarly journals Komparasi Mekanisme Transmisi Kebijakan Moneter Syariah dan Konvensional Melalui Jalur Harga Aset Terhadap Inflasi di Indonesia

2017 ◽  
Vol 4 (10) ◽  
pp. 817
Author(s):  
Nikita Indi Kumala ◽  
Suherman Rosyidi
Keyword(s):  
Financial Services ◽  
Time Series Data ◽  
Least Square ◽  
Series Data ◽  
Short Term ◽  
Correction Model ◽  
Monthly Data ◽  
Ordinary Least Square ◽  
Policy Transmission

The purpose of this study is to find out the effect of mechanism Sharia andconventional monetary policy transmission through asset prices on inflation in Indonesia during 2011-2015. The method used is quantitative analysis and the model used is OLS (Ordinary Least Square) to find out the effect in the long term and ECM Model (Error Correction Model) for short term. The data used is time series data with monthly data units during January 2011 to December 2015 period. This study uses the data from Bank Indonesia, the Central Bureau of Statistics (Badan Pusat Statistik), and the Financial Services Authority (Otoritas Jasa Keuangan). The results of this study shows that the syariah model shows significantly negative towards the inflation, and the conventional model shows not significantly towards the inflation.

scholarly journals Pengaruh Exchange Rate dan GDP Terhadap Ekspor dan Impor Indonesia

Develop ◽  
2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Lumadya Adi
Keyword(s):  
Exchange Rate ◽  
Error Correction ◽  
Error Correction Model ◽  
Least Square ◽  
Short Term ◽  
Correction Model ◽  
Ordinary Least Square ◽  
The Impact

The purpose this research is to examine the impact of Exchange Rate and GDP on Indonesia’s Export and Import. Tools analysis is Dynamics Ordinary Least Square (DOLS): Error Correction Model (ECM). The result are: 1. GDP influence positif and significant in short-term and longterm relationship on Indonesia’s impor; 2. Exchange Rate influence positif and significant in short-term and longterm relationship on Indonesia’s impor; 3. GDP influence positif and significant in short-term but negatif and significant in longterm relationship on Indonesia’s export; 4. Exchange rate influence positif and significant in short-term but negatif and significant in longterm relationship on Indonesia’s export.Keywords: error correction model, gdp, exchange rate, impor, ekspor

Dampak Kebijakan Moneter Pada Output Di Negara-Negara ASEAN Tahun 1980-2014

2017 ◽  
Vol 4 (1) ◽  
pp. 58-70
Author(s):  
Nur Widiastuti
Keyword(s):  
Monetary Policy ◽  
Interest Rate ◽  
Fixed Effects ◽  
Empirical Studies ◽  
Negative Relationship ◽  
Least Square ◽  
Fixed Effects Model ◽  
State Data ◽  
Ordinary Least Square ◽  
The Impact

The Impact of monetary Policy on Ouput is an ambiguous. The results of previous empirical studies indicate that the impact can be a positive or negative relationship. The purpose of this study is to investigate the impact of monetary policy on Output more detail. The variables to estimatate monetery poicy are used state and board interest rate andrate. This research is conducted by Ordinary Least Square or Instrumental Variabel, method for 5 countries ASEAN. The state data are estimated for the period of 1980 – 2014. Based on the results, it can be concluded that the impact of monetary policy on Output shown are varied.Keyword: Monetary Policy, Output, Panel Data, Fixed Effects Model

PENGARUH PENANAMAN MODAL ASING, PERDAGANGAN INTERNASIONAL, GDP PER KAPITA, SEKTOR PERTANIAN, DAN URBANISASI TERHADAP PENDUDUK BEKERJA DI INDONESIA

2017 ◽  
Vol 21 (2) ◽  
pp. 85-95
Author(s):  
John Marcell Rumondor
Keyword(s):  
International Trade ◽  
Gross Domestic Product ◽  
Foreign Investment ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Domestic Product ◽  
Working Population ◽  
Ordinary Least Square ◽  
Per Capita

This research aims to understand the influenceof foreign investment, international trade, Gross Domestic Product per capita, agriculture and urbanization of the working population. Country used as an object in this research is Indonesia. This research uses the method of analysis Ordinary Least Square (OLS) and the multiple linear regression analysis method. Research period are from 1997 – 2012. The results showed that the international trade, Gross Domestic Product per capita, agriculture and urbanization have significantpositive influenceon the population work in Indonesia, but foreign investment has no significanteffect on the working population in Indonesia.

PENGARUH KNOWLEDGE MANAGEMENT, KOMPETENSI, MOTIVASI TERHADAP KINERJA KARYAWAN

2015 ◽  
Vol 5 (2) ◽  
pp. 1
Author(s):  
Miftahol Arifin
Keyword(s):  
Knowledge Management ◽  
Linear Regression ◽  
Significant Influence ◽  
Employee Performance ◽  
Least Square Method ◽  
Least Square ◽  
Analysis Tool ◽  
Ordinary Least Square ◽  
Competence Motivation ◽  
Performance Analyze

The purpose of this research is to analyze the influence of knowledge management on employee performance, analyze the effect of competence on employee performance, analyze the influence of motivation on employee performance). In this study, samples taken are structural employees PT.centris Kingdom Taxi Yogyakarta. The analysis tool in this study using multiple linear regression with Ordinary Least Square method (OLS). The conclusion of this study showed that the variables of knowledge management has a significant influence on employee performance, competence variables have an influence on employee performance, motivation variables have an influence on employee performance, The analysis showed that the variables of knowledge management, competence, motivation on employee performance.Keywords: knowledge management, competence, motivation, employee performance.

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