Modeling the presence and abundance of buckthorn across the forests of Wisconsin, USA using different regression techniques

2022 ◽  
Vol 506 ◽  
pp. 119960
Author(s):  
T.J. Boettcher ◽  
Baburam Rijal ◽  
James Cook ◽  
Shuva Gautam
Keyword(s):  
Regression Techniques

Pengaruh Faktor Fundamental, Risiko Sistematis Dan Ekonomi Makro Terhadap Return Saham Syariah Yang Tergabung Di Jakarta Islamic Index (JII) Pada Periode 2010 – 2014

2017 ◽  
Vol 24 (1) ◽  
pp. 54-70
Author(s):  
Hasanah Setyowati ◽  
Riyanti Ningsih
Keyword(s):  
Exchange Rate ◽  
Stock Exchange ◽  
Systematic Risk ◽  
Secondary Data ◽  
Analysis Model ◽  
Macroeconomic Factors ◽  
Return On Equity ◽  
Equity Ratio ◽  
Regression Techniques ◽  
The Exchange Rate

This study aimed to obtain empirical evidence on the influence of fundamental factors, systematic risk and macroeconomics on the returns Islamic stock of companies incorporated in the Jakarta Islamic Index in 2010-2014. The variables used were the fundamental factors that are proxied by Earning Per Share (EPS), Return on Equity (ROE), Debt to Equity Ratio (DER); Systematic risk is proxied by Beta Shares; macroeconomic factors is proxied by the inflation rate and the exchange rate. The samples of this study are the enterprises incorporated in Jakarta Islamic Index (JII) at the Indonesian Stock Exchange. The sampling method was using purposive sampling. There were 12 samples of Islamic stocks that meet the criteria to be used as samples. The analysis model used is multiple linear regression techniques and the type of data used is secondary data. The study found that all variables, which are Earning Per Share (EPS), Return on Equity (ROE), Debt to Equity Ratio (DER), Beta stock, inflation and the exchange rate do not significantly affect the return of sharia stock either simultaneously or partially.

Commercial Development at Rural and Small-Town Interstate Exits

1998 ◽  
Vol 1649 (1) ◽  
pp. 95-104 ◽  
Author(s):  
David T. Hartgen ◽  
Ji Youn Kim
Keyword(s):  
Fast Food ◽  
Small Town ◽  
Local Market ◽  
Network Access ◽  
Commercial Development ◽  
Gas Stations ◽  
Trade Area ◽  
Fast Food Restaurants ◽  
Regression Techniques ◽  
Site Competition

Commercial development at 63 rural and small-town Interstate exits is quantified and related to local market wealth, size, geography, access, traffic, site competition, and other development. Five development types (gas stations, convenience stores, fast food restaurants, sit-down restaurants, and motels) are studied. The geographic information system TransCAD 3.0 is used to determine network access and local trade area characteristics. Models are then estimated for each development type using classification and regression techniques separately and in combination. Model estimates are then compared with actual development. Results show that the relationships are complex, often nonlinear; and show high correlation between development types. The findings should be useful for planning exit land use, coordinating market assessments, determining the value of land, and assessing sites for business placement.

Estimating Water Supply Infrastructure Cost Using Regression Techniques

2016 ◽  
Vol 142 (4) ◽  
pp. 04016003 ◽  
Author(s):  
Valentina Marchionni ◽  
Marta Cabral ◽  
Conceição Amado ◽  
Dídia Covas
Keyword(s):  
Water Supply ◽  
Regression Techniques

scholarly journals Empirical analysis of regression techniques by house price and salary prediction

2021 ◽  
Vol 1022 ◽  
pp. 012110
Author(s):  
U Bansal ◽  
A Narang ◽  
A Sachdeva ◽  
I Kashyap ◽  
S P Panda
Keyword(s):  
Empirical Analysis ◽  
House Price ◽  
Regression Techniques

Correlation Between Gestures’ Qualitative Properties and Usa- bility metrics

2020 ◽  
Vol 64 (1) ◽  
pp. 726-730
Author(s):  
Daniela Chanci ◽  
Naveen Madapana ◽  
Glebys Gonzalez ◽  
Juan Wachs
Keyword(s):  
Linear Regression ◽  
User Satisfaction ◽  
Completion Time ◽  
User Study ◽  
Task Completion ◽  
Time Error ◽  
Qualitative Properties ◽  
Regression Techniques ◽  
Overall Efficiency ◽  
Usability Metrics

The choice of best gestures and commands for touchless interfaces is a critical step that determines the user- satisfaction and overall efficiency of surgeon computer interaction. In this regard, usability metrics such as task completion time, error rate, and memorability have a long-standing as potential entities in determining the best gesture vocabulary. In addition, some previous works concerned with this problem have utilized qualitative measures to identify the best gesture. In this work, we hypothesize that there is a correlation between the qualitative properties of gestures (v) and their usability metrics (u). Therefore, we conducted an experiment with linguists to quantify the properties of the gestures. Next, a user study was conducted with surgeons, and the usability metrics were measured. Lastly, linear and non-linear regression techniques were used to find the correlations between u and v. Results show that usability metrics are correlated with the gestures’ qualitative properties ( R2 = 0.4).

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