• Journal of the Korean Statistical Society
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• v.36 no.1
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• pp.111-127
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• 2007

The logistic distribution is generalized using the Marshall-Olkin scheme and its generalization. Some properties are studied. First order autoregressive time series model with Marshall-Olkin semi-logistic distribution as marginal is developed and studied.

• Journal of Distribution Science
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• v.21 no.10
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• pp.1-9
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• 2023

Purpose: This study analyses the current development of cross-border e-commerce in China, outlines the challenges faced by Chinese cross-border e-commerce SMEs, and finally summarises the development strategies of Chinese cross-border e-commerce SMEs in the post-covid-19 era, which will provide opinion references for the development of Chinese cross-border e-commerce SMEs. Research design, data and methodology: The methodology used in this study is to analyse the current situation of cross-border e-commerce development in China in the context of covid-19 through literature; and to summarise the challenges encountered by Chinese cross-border e-commerce SMEs through semi-structured interviews. Results: The article summarises the current status of China's cross-border e-commerce development in the context of covid-19 in terms of cross-border e-commerce trade volume, cross-border e-commerce enterprise and user scale, cross-border e-commerce logistics, cross-border e-commerce global co-operation, government policy, and cross-border e-commerce product distribution, outlining challenges encountered by China's cross-border e-commerce SMEs in terms of logistic pricing, operating capital chain, product service support, and trade protection The paper Finally, it is pointed out that Chinese cross-border e-commerce SMEs must adopt new strategies to adapt to the new development in the context of covid-19. Conclusions: Specific development strategies are provided for Chinese cross-border e-commerce enterprises and reference suggestions are provided for the post-covid-19 era.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.11
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• pp.6751-6755
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• 2013

Background: Research on cancers with a high rate of mortality such as those occurring in the stomach requires using models which can provide a closer examination of disease processes and provide researchers with more accurate data. Various models have been designed based on this issue and the present study aimed at evaluating such models. Materials and Methods: Data from 330 patients with gastric cancer undergoing surgery at Iran Cancer Institute from 1995 to 1999 were analyzed. Cox-Snell Residuals and Akaike Information Criterion were used to compare parametric and semi-parametric Cox models in modeling transition rates among different states of a multi-state model. R 2.15.1 software was used for all data analyses. Results: Analysis of Cox-Snell Residuals and Akaike Information Criterion for all probable transitions among different states revealed that parametric models represented a better fitness. Log-logistic, Gompertz and Log-normal models were good choices for modeling transition rate for relapse hazard (state $1{\rightarrow}state$ 2), death hazard without a relapse (state $1{\rightarrow}state$ 3) and death hazard with a relapse (state $2{\rightarrow}state$ 3), respectively. Conclusions: Although the semi-parametric Cox model is often used by most cancer researchers in modeling transition rates of multistate models, parametric models in similar situations- as they do not need proportional hazards assumption and consider a specific statistical distribution for time to occurrence of next state in case this assumption is not made - are more credible alternatives.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.sup3
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• pp.311-316
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• 2016

Breast cancer is one of the most common causes of cancer mortality in Iran. Social determinants of health are among the key factors affecting the pathogenesis of diseases. This cross-sectional study aimed to determine the social determinants of breast cancer survival time with parametric and semi-parametric regression models. It was conducted on male and female patients diagnosed with breast cancer presenting to the Cancer Research Center of Shohada-E-Tajrish Hospital from 2006 to 2010. The Cox proportional hazard model and parametric models including the Weibull, log normal and log-logistic models were applied to determine the social determinants of survival time of breast cancer patients. The Akaike information criterion (AIC) was used to assess the best fit. Statistical analysis was performed with STATA (version 11) software. This study was performed on 797 breast cancer patients, aged 25-93 years with a mean age of 54.7 (${\pm}11.9$) years. In both semi-parametric and parametric models, the three-year survival was related to level of education and municipal district of residence (P<0.05). The AIC suggested that log normal distribution was the best fit for the three-year survival time of breast cancer patients. Social determinants of health such as level of education and municipal district of residence affect the survival of breast cancer cases. Future studies must focus on the effect of childhood social class on the survival times of cancers, which have hitherto only been paid limited attention.

• Asian Journal of Business Environment
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• v.7 no.4
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• pp.27-33
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• 2017

Purpose - The paper aims to explore the critical and uncover issues encountered to the supply-chain companies in launching halal based services in India. Research design, data, and methodology - After a meticulous review of relevant literature on the halal concept and halal logistics, researchers involved in a data collection by conducting semi-structured focus group interviews. Four groups with a maximum of 5 members each have chosen from the areas of transportation, warehousing, certification, and packaging. A total of 20 questionnaires were collected by applying purposive sampling method. Results - More than 95 percent of the chosen focus groups agreed that they know only about halal but don't have any exposure to halal logistics. The discussion has revealed that the adoption rate for halal transportation, warehousing, halal certification, and packaging is almost zero. The respondents were chosen only from transportation, warehousing, certification and packaging companies from south India which are operating throughout India. This research never attempts to be acquainted with the opinions of channel members who directly or indirectly involved in meeting customer demands. Conclusions - This is a ground-breaking effort aimed to study the critical issues related to Indian halal logistics which is beneficial to both logistic companies as well as to the academic world.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.7
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• pp.497-508
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• 2020

Using primary data collected through semi-structured interviews conducted during February 2019, this article examines citizen's awareness and knowledge of Khon Kaen Smart City (KKSC) among the residents of five contiguous municipalities within Khon Kaen Province, Thailand. A self-weighted sample of 420 respondents was selected through a two-stage, 30-cluster sampling process. In the first stage, a sample of 30 artificial clusters of 100 households each was selected. In the second, 14 households were randomly selected from each of these clusters. The head of household or, if unavailable, a resident aged 18 or over was interviewed. The study applies the "citizens as democratic participants" dimension of Simonofski et al.'s (2019) evaluative framework. Results found that, because of ineffective citizen engagement, the levels of awareness and knowledge about KKSC were low. However, multiple logistic regression found that, despite the low levels of awareness and knowledge, education and income could establish an independent effect on awareness of KKSC. Those who completed post-secondary school were more aware of KKSC than those who finished only secondary or primary education. Similarly, the analysis of data clearly indicated that educational attainment, solely and independently from all other socio-economic and demographic variables, could explain the positive effect of education on knowledge about KKSC.