scholarly journals Gene Prediction Using Multinomial Probit Regression with Bayesian Gene Selection

Author(s):  
Xiaobo Zhou ◽  
Xiaodong Wang ◽  
Edward R. Dougherty
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Joseph Elasu ◽  
Bright Richard Richard ◽  
Muyiwa S. Adaramola

PurposeThis study explores the economic and sociodemographic factors that influence households' decisions on the type of fuel used for cooking in urban areas in Uganda.Design/methodology/approachIn total, two cross-section data surveyed by the Uganda Bureau of Statistics (UBOS) in 2012/13 and 2016/17 were used to analyze consumption of energy for cooking purposes in urban areas of Uganda. This paper employed a multinomial probit regression model and the corresponding marginal effects to analyze cooking fuel choices, which are biomass, electricity and gas and kerosene combined.FindingsThe results showed that household expenditure was statistically significant for the choice of cooking fuel chosen. Furthermore, kitchen type, dwelling type and apartment tenure type are found to be significantly influence the choice of household cooking fuel decisions.Originality/valueThis study takes into consideration the combined influence of the kitchen type, dwelling and tenure type as explanatory variables for the choice of cooking fuel for households in urban areas in Uganda. These factors have not been considered in previous studies done in Uganda, especially within the context of urban households when making choices for cooking fuel.


2021 ◽  
Vol 23 (2) ◽  
Author(s):  
Ramsha Saleem ◽  
Ammara Amjad Hashmi ◽  
Hafsah Batool ◽  
Muhammad Naeem

The pastoralists are economically depend upon livestock for their income which include their herds of livestock and the bi products produced and sold. The nomads keep moving in search of food and forage so they do not completely destroy the natural resource of a particular area. During their journey of searching water sometimes make them closer to the agriculture land near towns where they used to earn through off farm activities which include the income earned through their unskilled labour activities. The multinomial probit regression employed in this study for analysis revealed that many pastoralists adopt the income diversification strategies which are the coping strategies for other than livestock income to reduce the risks attached with livestock income. The role of Govt. and NGOs for improvement in infrastructure is envisaged to find the enhancement of livestock sector in the area is explored in this study. The study is unique in providing perspective on providing access to different facilities and the role of government in improving living of population.


2020 ◽  
Vol 11 (01) ◽  
Author(s):  
T. Lakshmanasamy ◽  
K. Maya

Most often the social comparison or relative income hypothesis has been used as an explanation for the lack of systematic relationship between income and happiness, using the ordered probit regression method. The identification of relevant reference group and the estimation of the differential effects of comparison income have been controversial. To overcome these twin issues, this paper uses an ordinal comparison income approach based on rich/poor dichotomy and rank income. The rank income of an individual is defined as his relative position in the income distribution within the reference group and the average income of the reference group is used to define the rich/poor classification. The differential effects of ordinal incomes across life satisfaction distribution is estimated by the panel fixed effects ordered profit regression model using the WVS data for India. The estimated results show that ordinal income comparison, rather than cardinal average reference income, is a better predictor of life satisfaction levels. Raising income level is relatively important for less satisfied people while increasing rank status is important for highly satisfied people in India.


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