Construction of Composite Measures by the Canonical-Factor-Regression Method

1973 ◽  
Vol 5 ◽  
pp. 51 ◽  
Author(s):  
Michael Patrick Allen
Keyword(s):  
Regression Method ◽  
Composite Measures ◽  
Canonical Factor ◽  
Factor Regression

Research on Regional Dividing Technology for Liquefaction Based on ArcGIS

2013 ◽  
Vol 477-478 ◽  
pp. 1109-1112
Author(s):  
Cheng Cheng Li ◽  
Yun Long Wang ◽  
Xiao Ming Yuan
Keyword(s):  
Interpolation Method ◽  
Regression Method ◽  
Southern Region ◽  
Kriging Interpolation ◽  
The South ◽  
Kriging Interpolation Method ◽  
Drilling Data ◽  
Unknown Area ◽  
Factor Regression

To assess liquefaction degree in the south region of Tangshan city, totally 65 boreholes are collected and the establishment of drilling graphics database and attribute database are completed on ArcGIS.Then the potential of liquefaction values are given by a multi-factor regression method, seven factors and four factors for different precisions respectively. According to these drilling data, liquefaction condition for each borehole is discriminated, and the liquefaction condition of the unknown area is speculated by Kriging interpolation method, then the liquefaction zoning map of south of Tangshan and its southern region is presented based on ArcGIS.

Rainfall Prediction in South-Eastern Part of Bangladesh by Linear Regression Method

2018 ◽  
Vol 6 (6) ◽  
pp. 119
Author(s):  
Mohammad Shohidul Islam ◽  
Sultana Easmin Siddika ◽  
S M Injamamul Haque Masum
Keyword(s):  
Linear Regression ◽  
Correlation Coefficients ◽  
Rain Gauge ◽  
Regression Method ◽  
Linear Regression Method ◽  
Climate Data ◽  
Rainfall Forecasting ◽  
Statistical Parameters ◽  
Time Duration ◽  
Rainfall Prediction

Rainfall forecasting is very challenging task for the meteorologists. Over the last few decades, several models have been utilized, attempting the successful analysing and forecasting of rainfall. Recorded climate data can play an important role in this regard. Long-time duration of recorded data can be able to provide better advancement of rainfall forecasting. This paper presents the utilization of statistical techniques, particularly linear regression method for modelling the rainfall prediction over Bangladesh. The rainfall data for a period of 11 years was obtained from Bangladesh Meteorological department (BMD), Dhaka i.e. that was surface-based rain gauge rainfall which was acquired from 08 weather stations over Bangladesh for the years of 2001-2011. The monthly and yearly rainfall was determined. In order to assess the accuracy of it some statistical parameters such as average, meridian, correlation coefficients and standard deviation were determined for all stations. The model prediction of rainfall was compared with true rainfall which was collected from rain gauge of different stations and it was found that the model rainfall prediction has given good results.

The Relationship between social skills and percived smartphone usage

2019 ◽  
Author(s):  
Rageshawari Munderia ◽  
Rajbala Singh
Keyword(s):  
Social Skills ◽  
Social Relationships ◽  
Social Communication ◽  
Regression Method ◽  
Emotional Control ◽  
Smartphone Addiction ◽  
Adult Participants ◽  
Multiple Regression Method ◽  
The Relationship

Social skills play an instrumental role in individuals’ life. It helps individuals to communicate and maintain social relationships. Presently, the smartphone has completely changed the mode of social communication, and social skills may play a crucial role in this regard. Thus, the aim of the present study is to investigate the association between social skills and perceived smartphone usage (both positive and negative usage). The perceived negative usage of the smartphone has been assessed in terms of smartphone addiction. Sample of the present study comprised of (n=509) adult participants. Pearson’s product moment correlation (r) and multiple regression method was employed to assess the relationship between the proposed variables. Findings of the study demonstrated that social skills are significantly related with both perceived positive usage of smartphone and smartphone addiction. Social expressivity and emotional control emerged as significant predictors for both positive usage of smartphone and smartphone addiction. The findings of the study may have important implications for bringing awareness among the individuals regarding the role of social skills for effective usage of smartphone as well as for future researches in this direction. Keywords: social skill, perceived positive smartphone usage, smartphone addiction, emotion expressivity, emotional control

ANALISIS PENGARUH AGENCY COST TERHADAP DIVIDEND PAYOUT RATIO (Pada Perusahaan Manufaktur di Bursa Efek Indonesia Tahun 2010-2011)

2013 ◽  
Author(s):  
Raudhatul Hidayah
Keyword(s):  
Firm Size ◽  
Sampling Method ◽  
Dividend Policy ◽  
Stock Exchange ◽  
Institutional Ownership ◽  
Agency Cost ◽  
Regression Method ◽  
Linear Regression Method ◽  
Dividend Payout ◽  
Multiple Linear Regression Method

The main purpose of the research was to know partially the influence of institutional ownership, collateralizable assets, debt to total assets and firm size on dividend payout ratio in firms that listed at Indonesia Stock Exchange of 2010–2011 period. The other purpose is to know simultaneously the influence of institutional ownership, collateralizable assets, debt to total assets and firm size on dividend payout ratio in firms that listed at Indonesia Stock Exchange of 2010–2011 period. The population of this research was all the firms that listed at Indonesia Stock Exchange of 2010-2011 period namely, 136 in number. The sample, 27 firms, was taken by the use of purposive sampling method. The technique of data collection used was documentation.  The data analysis made use of multiple linear regression method. The results showed that partially institutional ownership had a positive and significant effect to dividend policy. Collateralizable assets, debt to total assets and firm size partially was not significant to dividend policy. Simultaneously institutional ownership, collateralizable assets, debt to total assets and firm size had a positive and significant effect to dividend payout ratio.

ANALISIS PENGARUH AGENCY COST TERHADAP DIVIDEND PAYOUT RATIO (Pada Perusahaan Manufaktur di Bursa Efek Indonesia Tabun 2010-2011)

2013 ◽  
Author(s):  
Raudhatul Hidayah
Keyword(s):  
Firm Size ◽  
Sampling Method ◽  
Dividend Policy ◽  
Stock Exchange ◽  
Institutional Ownership ◽  
Agency Cost ◽  
Regression Method ◽  
Linear Regression Method ◽  
Dividend Payout ◽  
Multiple Linear Regression Method

The main purpose of the research was to know partially the influence of institutional ownership, collateralizable assets, debt to total assets and firm size on dividend payout ratio in firms that listed at Indonesia Stock Exchange of 2010-2011 period. The other purpose is to know simultaneously the influence of institutional ownership, collateralizable assets, debt to total assets and firm size on dividend payout ratio in firms that listed at Indonesia Stock Exchange of 2010-2011 period. The population of this research was all the firms that listed at Indonesia Stock Exchange of 2010-2011 period namely, 136 in number. The sample, 27 firms, was taken by the use of purposive sampling method. The technique of data collection used was documentation. The data analysis made use of multiple linear regression method. The results showed that partially institutional ownership had a positive and significant effect to dividend policy. Collateralizable assets, debt to total assets and firm size partially was not significant to dividend policy. Simultaneously institutional ownership, collateralizable assets, debt to total assets and firm size had a positive and significant effect to dividend payout ratio.

An alternative model of the vibronic coupling in octahedral complexes

1988 ◽  
Vol 53 (6) ◽  
pp. 1134-1140
Author(s):  
Martin Breza ◽  
Peter Pelikán
Keyword(s):  
Linear Regression ◽  
Alternative Model ◽  
Potential Surface ◽  
Analytical Formula ◽  
Coupling Model ◽  
Regression Method ◽  
Vibronic Coupling ◽  
Linear Regression Method ◽  
Active Systems ◽  
Jahn Teller

It is suggested that for some transition metal hexahalo complexes, the Eg-(a1g + eg) vibronic coupling model is better suited than the classical T2g-(a1g + eg) model. For the former, alternative model, the potential constants in the analytical formula are evaluated from the numerical map of the adiabatic potential surface by using the linear regression method. The numerical values for 29 hexahalo complexes of the 1st row transition metals are obtained by the CNDO/2 method. Some interesting trends of parameters of such Jahn-Teller-active systems are disclosed.

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