Modelling daily rainfall with climatological predictors: Poisson-gamma generalized linear modelling approach

2016 ◽  
Vol 37 (3) ◽  
pp. 1391-1399 ◽  
Author(s):  
Rossita M. Yunus ◽  
Masud M. Hasan ◽  
Nuradhiathy A. Razak ◽  
Yong Z. Zubairi ◽  
Peter K. Dunn
Keyword(s):  
Daily Rainfall ◽  
Generalized Linear Modelling ◽  
Linear Modelling ◽  
Modelling Approach

scholarly journals The epidemiology of atypical mycobacterial diseases in northern England: a space–time clustering and Generalized Linear Modelling approach

2006 ◽  
Vol 135 (5) ◽  
pp. 765-774 ◽  
Author(s):  
S. P. Rushton ◽  
M. Goodfellow ◽  
A. G. O'Donnell ◽  
J. G. Magee
Keyword(s):  
The United States ◽  
Space Time ◽  
Health Concern ◽  
The North ◽  
The United Kingdom ◽  
Generalized Linear Modelling ◽  
Mycobacterial Diseases ◽  
Linear Modelling ◽  
The Difference ◽  
Modelling Approach

SUMMARYThe incidence of infection by mycobacteria, other than tubercle bacilli (MOTT) is increasing in the United Kingdom, Europe and the United States. These diseases increase morbidity and are an increasing public health concern. However, the epidemiology of disease due to these species is not well characterized. We used space–time clustering approaches and Generalized Linear Modelling to investigate the potential predictors of disease in cases of infection by organisms of the Mycobacterium avium complex (MAC) and M. malmoense recorded in the north of England during 2000–2005. There was significant spatial and temporal clustering in juvenile cases of infection by MAC but not for cases of infection in adults by either species. There were no significant predictors of infection by M. malmoense or juvenile cases of M. avium. Incidence of disease caused by M. avium in adults was significantly related to health deprivation and weakly related to rainfall. We consider possible reasons for the difference in epidemiology in infection by M. avium in adults and juveniles.

scholarly journals The Relationship between Spousal Age Difference and Violence against Wife in Nigeria: A Generalized Linear Modelling Approach

2017 ◽  
Vol 17 (2) ◽  
pp. 99-104
Author(s):  
Anthony C. Akpanta ◽  
Idika E. Okorie ◽  
Faith Kanu
Keyword(s):  
Sexual Violence ◽  
Physical Violence ◽  
Age Difference ◽  
Generalized Linear Modelling ◽  
Linear Modelling ◽  
Result Show ◽  
The Relationship ◽  
Modelling Approach

The act of violence against wife is condemnable and attracts various legal penalties, globally. This article attempts to find a link between spousal age difference and violence (Emotional, Physical and Sexual) against wives in Nigeria. The result show that wives who are older than their partners are more likely to experience sexual and emotional violence; also, wives who are same age as their husbands are more likely to experience sexual violence; whereas wives who are 1-4 years younger than their husbands are more likely to experience physical violence; while wives 5 years or more younger than their husbands are generally less likely to experience any form of violence.

Wellbeing and Running Events in Qatar: The Ooredoo Doha Marathon

2021 ◽  
Author(s):  
Kevin Filo ◽  
Millicent Kennelly ◽  
Richard J. Buning ◽  
Rana Sobh
Keyword(s):  
Goal Setting ◽  
Qualitative Data ◽  
Online Questionnaire ◽  
Sport Event ◽  
Sense Of Direction ◽  
Generalized Linear Modelling ◽  
Linear Modelling ◽  
Personal Connections ◽  
Males And Females

Research into participatory sport event experiences and wellbeing outcomes has increased, however, much of this work explores Western contexts. The purpose of the current research is to examine the wellbeing outcomes related to sport event participation in Qatar, as well as how these outcomes differ across nationalities and by gender. An online questionnaire was administered to participants of the 2017 Ooredoo Doha Marathon (ODM) (N = 239). Inductive coding of responses to the open-ended items uncovered activation of relationships, meaning and accomplishment. The qualitative data revealed that event participation allowed participants to strengthen personal connections with others, fostered a sense of direction and allowed for goal setting among participants, and enabled participants to experience achievement. Meanwhile, generalized linear modelling revealed Qatari nationals and expats as well as males and females differentially reported wellbeing based on PERMA domains.

More generalized linear modelling.

2021 ◽  
pp. 171-186
Author(s):  
Donald Quicke ◽  
Buntika A. Butcher ◽  
Rachel Kruft Welton
Keyword(s):  
Generalized Linear Models ◽  
Count Data ◽  
Binary Data ◽  
Linear Models ◽  
Explanatory Variable ◽  
Response Variable ◽  
Explanatory Variables ◽  
Continuous Response ◽  
Generalized Linear Modelling ◽  
Linear Modelling

Abstract This chapter employs generalized linear modelling using the function glm when we know that variances are not constant with one or more explanatory variables and/or we know that the errors cannot be normally distributed, for example, they may be binary data, or count data where negative values are impossible, or proportions which are constrained between 0 and 1. A glm seeks to determine how much of the variation in the response variable can be explained by each explanatory variable, and whether such relationships are statistically significant. The data for generalized linear models take the form of a continuous response variable and a combination of continuous and discrete explanatory variables.

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