Refined Rank Regression Method with Censors

2004 ◽  
Vol 20 (7) ◽  
pp. 667-678 ◽  
Author(s):  
Wendai Wang
Keyword(s):  
Regression Method ◽  
Rank Regression

scholarly journals Association between Homocysteine-Related Dietary Patterns and Gestational Diabetes Mellitus: A Study Using the Reduced Rank Regression Method

2021 ◽  
Vol 9 (2) ◽  
Author(s):  
Hui W ◽  
◽  
Yu-Hong L ◽  
Ling-Peng L ◽  
Min-Hui Y ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Dietary Patterns ◽  
Regression Method ◽  
Leafy Vegetables ◽  
Meat Intake ◽  
Rank Regression ◽  
Green Leafy Vegetables ◽  
Mode 2

Background: This study aimed to evaluate the association between homocysteine-related dietary patterns and gestational diabetes mellitus. Methods: A total of 488 pregnant women at 24-28 weeks of gestation between January 2019 and December 2020 were included. Demographic characteristics, dietary intake, and multivitamin supplement intake information were collected using a food frequency questionnaire (FFQ); fasting venous blood samples were collected for serum index detection. Serum homocysteine (Hcy), folic acid, and B12 were selected as response variables, and hyperhomocysteinemia (hHcy)- related dietary patterns were extracted using the descending rank regression method. The relationship between the score of hHcy-related dietary patterns and GDM was analyzed using a multivariate logistic regression model. Results: Three hHcy-related dietary patterns were extracted: (mode 1) more meat, cattle meat intake, green leafy vegetables, dark vegetables and soy, and less consumption of shrimp. (mode 2) livestock meat, eggs and more grains, green leafy vegetables, bacteria, algae, dairy, and less nuts intake; and (model 3) livestock meat intake, and less soy intake. Because the explanatory variation of mode 3 was relatively small, it was not retained. Only mode 2 had a positive and significant relationship with the risk of developing GDM. After adjusting for confounding factors, the risk of GDM was significantly increased in the highest quartile array (OR=2.96, 95% Confidence Interval: 0.939-9.356, P=0.004). There was no significant correlation between dietary pattern 1 and GDM risk (P >0.05).

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.

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