Modeling daily soil temperature over diverse climate conditions in Iran—a comparison of multiple linear regression and support vector regression techniques

2018 ◽  
Vol 135 (3-4) ◽  
pp. 991-1001 ◽  
Author(s):  
Masoomeh Delbari ◽  
Salman Sharifazari ◽  
Ehsan Mohammadi
Keyword(s):  
Linear Regression ◽  
Soil Temperature ◽  
Multiple Linear Regression ◽  
Support Vector Regression ◽  
Support Vector ◽  
Climate Conditions ◽  
Regression Techniques

scholarly journals STUDY OF THE INFLUENCE OF WOOD PROPERTIES ON THE CHARCOAL PRODUCTION: APPLYING THE RANDOM FOREST ALGORITHM

2021 ◽  
Vol 45 ◽  
Author(s):  
Kaléo Dias Pereira ◽  
Antônio Policarpo Souza Carneiro ◽  
Gerson Rodrigues dos Santos ◽  
Angélica de Cassia Oliveira Carneiro ◽  
Hélio Garcia Leite ◽  
...  
Keyword(s):  
Random Forest ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Support Vector Regression ◽  
Wood Properties ◽  
Coefficient Of Determination ◽  
Support Vector ◽  
Random Forest Algorithm ◽  
Predicted Values

ABSTRACT The understanding of the relationship between the properties of wood and charcoal makes it possible to improve the production of charcoal. Therefore, the random forest algorithm was used in this study to analyze the influence of eucalyptus wood properties on the quality of charcoal as well as the accuracy of the predicted values concerning the results estimated by support vector regression and multiple linear regression. Six properties of wood and six properties of charcoal obtained from the hybrid Eucalyptus grandis x Eucalyptus urophylla and from twelve clones of Corymbia torelliana x Corymbia critriodora at the age of seven were measured. In the analysis, the measure of mean decrease in node impurity (residual sum of squares) calculated with the random forest and the copula correlation was used to evaluate the relationship between properties of wood and charcoal. The random forest was compared to the support vector regression and multiple linear regression through the coefficient of determination, linear correlation between observed and predicted values, mean absolute error and root mean squared error. The accuracy of the random forest was greater than that obtained with the support vector regression and multiple linear regression, mainly in terms of the coefficient of determination and the linear correlation between observed and predicted values. The yield and quality of the charcoal produced from clones were mainly influenced by the holocellulose content, heartwood/sapwood ratio, and basic wood density. The apparent relative density of charcoal was the variable in which the random forest algorithm reached the best level of explanation of the variability as a function of the properties of wood, while the minor error was observed for the fixed carbon content.

scholarly journals PENGARUH LITERASI EKONOMI SISWA, HASIL BELAJAR EKONOMI, DAN TEMAN SEBAYA TERHADAP PERILAKU KONSUMSI SISWA SMP NEGERI DI SURABAYA BARAT

2017 ◽  
Vol 5 (1) ◽  
pp. 127
Author(s):  
Endah Murniatiningsih
Keyword(s):  
Linear Regression ◽  
Data Collection ◽  
Multiple Linear Regression ◽  
Total Sample ◽  
Economic Literacy ◽  
Economic Study ◽  
Consumption Behavior ◽  
Research Population ◽  
Class Viii ◽  
Regression Techniques

This study aimed to analyze the effect of the Students Economic Literacy, the results of the economic study, and peers on consumption behavior of students of SMP Negeri Surabaya Western Conference. The research population was students of SMP Negeri 28 Surabaya class VIII as many as 369 people and students of SMP Negeri 40 Surabaya class VIII as many as 330 students, with a total sample of 254 students. The data collection techniques using questionnaires and documentation. Methods of analysis using multiple linear regression techniques. The results showed that the students economic literacy, the results of the economic study, and peer partially has a positive and significant effect on consumption behavior. The students economic literacy of students, the results of the economic study, and peer simultaneously positive significant effect on consumption behavior of students

scholarly journals Profitability Attributes and the level of Disclosure: A Study on Listed Pharmaceutical Companies of Bangladesh

2012 ◽  
Vol 1 (1) ◽  
pp. 8-15
Author(s):  
Md. Shakawat Hossain
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Pharmaceutical Company ◽  
Annual Reports ◽  
Pharmaceutical Companies ◽  
Regression Techniques

The objective of the study is to examine empirically the likely association between the level of disclosure and various profitability attributes. In order to identify the determinants of disclosure, regression analysis, multiple linear regression techniques have been used. The analysis and discussion of the study have already established the fact that the extent of disclosure varies across pharmaceutical company and across various sections of pharmaceutical company annual reports. The paper has been prepared having in minded the significant corporate attributes that are significantly associated with the level of disclosure.

scholarly journals Penerapan Good School Governance (GSG) Dan Pengaruhnya Terhadap Efektifitas Pengelolaan Bantuan Operasional (BOS) Sekolah Dasar Kota Blitar

REVITALISASI ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 74
Author(s):  
Hendri Susanti
Keyword(s):  
Elementary School ◽  
Data Analysis ◽  
Linear Regression ◽  
Primary School ◽  
Multiple Linear Regression ◽  
Descriptive Analysis ◽  
School Governance ◽  
Analysis Method ◽  
Good School ◽  
Regression Techniques

This study aims to determine the effect of the application of good school governance on the effectiveness of the management of elementary school operational assistance. The method used is descriptive analysis method with a quantitative approach. The sample used saturated samples by showing all treasurers of primary school operational assistance as many as 48 people, data collected by questionnaire techniques while data analysis used multiple linear regression techniques. The results showed that participation had a positive and significant effect on the effectiveness of the management of school operational assistance, transparency had a positive and significant effect on the effectiveness of the management of school operational assistance, while accountability separately did not have a positive and significant effect on the effectiveness of the management of school operational assistance but together participation, transparency and accountability have a positive and significant effect on the effectiveness of managing school operational assistance.

scholarly journals Pengaruh Sanksi Administrasi Dan Surat Paksa Terhadap Optimalisasi Pencairan Tunggakan Pajak Pada KPP Pratama Makassar Utara

2019 ◽  
Vol 4 (2) ◽  
pp. 260-277
Author(s):  
Nuramal
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Data Collection ◽  
Multiple Linear Regression ◽  
Secondary Data ◽  
Analysis Method ◽  
Regression Techniques ◽  
Administrative Sanctions ◽  
Tax Payers ◽  
Positive Effect

This study aims to determine the effect of Administrative Sanctions and Forced Letters on Optimizing Disbursement of Tax Arrears at the Pratama Tax Office North Makassar. Data collection uses secondary data obtained from the Pratama Makassar North Tax Service Office. The population is 36 tax payers and the sample is 36. The data analysis method uses multiple linear regression techniques. The results of this study indicate that administrative sanctions show a positive and significant. This means that administrative sanctions have a positive effect on optimizing the disbursement of tax arrears. The forced letter shows positive and significant. This means that forced letters have a positive and significant effect on optimizing the disbursement of tax arrears.

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