Short-term, real-time forecasting of hourly ozone, NO2 and NO levels by means of multiple linear regression modelling

2001 ◽  
Vol 8 (4) ◽  
pp. 250-250 ◽  
Author(s):  
Gabriel Ibarra-Berastegi ◽  
Ana Elías ◽  
Elena Agirre ◽  
Javier Uria
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Real Time ◽  
Short Term ◽  
Regression Modelling

scholarly journals PENGARUH ASIMETRI INFORMASI TERHADAP MANAJEMEN LABA DENGAN GOOD CORPORATE GOVERNANCE SEBAGAI VARIABEL MODERASI

2017 ◽  
Vol 18 (1) ◽  
pp. 64
Author(s):  
Andri Veno ◽  
Noer Sasongko
Keyword(s):  
Corporate Governance ◽  
Linear Regression ◽  
Earnings Management ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Discretionary Accruals ◽  
Multiple Linear Regression Analysis ◽  
Short Term ◽  
Good Corporate Governance

The purpose of this study was to analyze the effect on earnings management information asymmetry, which was moderated by good corporate governance in 43 companies listed on the Indonesian Stock Exchange (BEI). To 43 companies such as sample in this study included the top 10 best Corporate Governance Perception Index (CGPI) during the period 2004 - 2013. The sampling technique is purposive sampling. Earnings management as independent variables proxy through Short Term Discretionary Accruals (STDA) and Long Term Discretionary Accruals (LTDA), while moderating variable is a proxy through Corporate Governance Corporate Governance Perception Index (CGPI). This analysis using multiple linear regression that was previously done through classical assumption test. The results of multiple linear regression analysis on the model of the Short Term Discretionary Accruals (STDA) showed that the asymmetry of information and good corporate governance significantly positive effect on earnings management. The results of multiple linear regression analysis on the model of the Long-Term Discretionary Accruals (LTDA) showed that the asymmetry of information and good corporate governance significantly negative effect on earnings management. While variable existing office Good Governance can moderate the effect of asymmetry in earnings management in Short-Term Discretionary Accruals (STDA) and Long Term Discretionary Accruals (Ltda).

scholarly journals Gender diversity and firm value: a study on boards of public manufacturing firms in Indonesia

2017 ◽  
Vol 15 (3) ◽  
pp. 276-284
Author(s):  
Syamsudin Syamsudin ◽  
Erna Setiany ◽  
Sajidah Sajidah
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Board Of Directors ◽  
Firm Value ◽  
Stock Exchange ◽  
Gender Diversity ◽  
Manufacturing Firms ◽  
Manufacturing Companies ◽  
Short Term ◽  
Research Results

This study aims to analyze the effect of gender diversity in both the Board of Commissioners and Board of Directors, as well as the effect of education background of the President Commissioner on the firm value. Gender diversity is measured from the proportion of women in Board of Commissioners and Board of Directors, while the education background is measured by the education background of the President Commissioner. In this research, the firm value is measured by Tobins Q. The sample used in this study consist of 70 manufacturing companies listed in Indonesian Stock Exchange in the year 2012. This study employs multiple linear regression to draw the research results. The analysis results show that gender diversity in both the Board of Commissioners and Board of Directors significantly affects firm value. On the contrary, the education background of the President Commissioner does not affect firm value. This result support the argument that diversity of boards will, through various ways, affect firm financial value in the long and short term.

scholarly journals Effect of mHealth With Offline Antiobesity Treatment in a Community-Based Weight Management Program: Cross-Sectional Study

10.2196/13273 ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. e13273 ◽  
Author(s):  
Youngin Kim ◽  
Bumjo Oh ◽  
Hyun-Young Shin
Keyword(s):  
Health Care ◽  
Weight Loss ◽  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Fat Mass ◽  
Weight Change ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Short Term

Background Weight loss interventions using mobile phone apps have recently shown promising results. Objective This study aimed to analyze the short-term weight loss effect of a mobile coaching intervention when it is integrated with a local public health care center and a regional hospital’s antiobesity clinic as a multidisciplinary model. Methods A total of 150 overweight or obese adults signed up to complete an 8-week antiobesity intervention program with human coaching through a mobile platform. Paired t tests and multiple linear regression analysis were used to identify the intervention factors related to weight change. Results Among the 150 participants enrolled in this study, 112 completed the 8-week weight loss intervention. Weight (baseline: mean 77.5 kg, SD 12.9; after intervention: mean 74.8 kg, SD 12.6; mean difference −2.73 kg), body mass index, waist circumference, fat mass (baseline: mean 28.3 kg, SD 6.6; after intervention: mean 25.7 kg, SD 6.3; mean difference −2.65 kg), and fat percentage all showed a statistically significant decrease, and metabolic equivalent of task (MET) showed a statistically significant increase after intervention. In multiple linear regression analysis, age (beta=.07; P=.06), △MET (beta=−.0009; P=.10), number of articles read (beta=−.01; P=.04), and frequency of weight records (beta=−.05; P=.10; R2=0.4843) were identified as significant factors of weight change. Moreover, age (beta=.06; P=.03), sex (female; beta=1.16; P=.08), △MET (beta=−.0009; P<.001), and number of articles read (beta=−.02; P<.001; R2=0.3728) were identified as significant variables of fat mass change. Conclusions The multidisciplinary approach, combining a mobile health (mHealth) care app by health care providers, was effective for short-term weight loss. Additional studies are needed to evaluate the efficacy of mHealth care apps in obesity treatment.

Sign in / Sign up

Export Citation Format

Share Document