Open Access Case Study

Partial least Square Structural Equation Modeling (PLS-SEM) of Patient Satisfaction on Service Quality in Katsina Public Hospitals

Shamsuddeen Suleiman, Yasir Abdulkadir

Asian Journal of Probability and Statistics, Page 49-60
DOI: 10.9734/ajpas/2022/v17i330426

This research examines the influence of Hospitals’ service quality on Patient satisfaction in Katsina metropolis, Nigeria. It is a survey research where by questionnaires were randomly administered on patients of four hospitals conveniently selected for the study (General Hosptial Katsina, Federal Medical Centre Katsina, Turai Yaradua Maternity and Children’s hospital and General Amadi Rimi Orthopedic Hospital Katsina). Structural equation modeling technique was employed in this research. Results show that the hospitals’ service quality positively influences patients’ satisfaction at hospitals. The study then concludes that hospitals’ service quality determines patient satisfaction. Patients’ level of satisfaction is increased by improving tangibility reliability, responsiveness, assurance and empathy dimensions of hospitals service quality.

Open Access Original Research Article

The Statistical Measurement System of High-Quality Development Level of Cities - Based on Yangtze River Delta Region of China

Hongjie Fan, Kai Wang

Asian Journal of Probability and Statistics, Page 1-10
DOI: 10.9734/ajpas/2022/v17i330422

Combining China's development concepts of innovation, coordination, green, openness and sharing, the paper constructs a high-quality development measurement system of Yangtze River Delta of China, which contains five dimensions: the optimization of economic structure, the efficient allocation of resource, the stable growth of economic, the regional development coordination and the presentation of economic achievements. Using 2019 municipal data, the entropy weighted TOPSIS method was used to statistically measure the level of high-quality development level of 27 cities in the Yangtze River Delta region. And four categories of cities, namely excellent, good, normal and lagging, were classified. The results show that Shanghai has the highest level of high-quality development, and most cities have lower scores in the subsystem of the stable growth of economic. Finally, this paper makes targeted reasonable suggestions for cities, especially the lagging cities.

Open Access Original Research Article

Linear Estimation in the Type II Generalized Logistic Distribution under Progressive Censoring

Rana Rimawi, Ayman Baklizi

Asian Journal of Probability and Statistics, Page 11-23
DOI: 10.9734/ajpas/2022/v17i330423

Generalized distributions have become increasingly popular in applications. They are highly flexible in data analysis, especially with skewed data, which are common in many applications. The Generalized Logistic Distribution (GLD) and its special cases have recently received a lot of interest in the literature. We derived estimators of the unknown parameters of type II Generalized Logistic Distribution (Type II GLD) based on progressively type II censored data. A variety of point estimation methods is employed. We considered the best linear unbiased estimator (BLUE) and the best (affine) linear equivariant estimator (BLEE). In addition, we considered Bayesian estimation. Simulation approaches were used to study the estimators and compare them with the maximum likelihood estimator (MLE) in a range of progressive censoring schemes. The mean squared error (MSE) and bias were employed as comparison criteria. An example based on real data is presented.

Open Access Original Research Article

Study of Binary Logistic and Poisson Regression Models of Diabetic Patients in Nigeria using Dichotomous and Non- Dichotomous Predictors

Onu, Obineke Henry, Amakuro, Okuata Avula, Alabge, Samson Adekola

Asian Journal of Probability and Statistics, Page 37-48
DOI: 10.9734/ajpas/2022/v17i330425

The comparative study of the Binary-logistic and Poisson regression models of diabetic patients in Nigeria was presented using R-squared, Adjusted R-squared, Variance Inflated Factors and Akaike Information Criterion for two different data sets of Diabetic Patients known as the dichotomous and the Non-dichotomous data obtained from the University of Port Harcourt Teaching Hospital (UPTH). The results revealed that the Binary logistic regression was better than the Poisson regression for both dichotomous and non-dichotomous data. It was also, observed that, the Binary-logistic regression model was significant in this study with a non-dichotomous data set, while Poisson regression was not significant. The results also showed that both the type 1 and type 2 diabetes have negative effects on the diabetic Patients.

Open Access Original Research Article

Small- scale Farmers’ Perception of Climate Change Impact and Variability in Shaki Community of Oyo State, Southwest Nigeria

Ebiendele Peter, E., Otobo Sylvester, I., Asuelinman Osoria

Asian Journal of Probability and Statistics, Page 24-36
DOI: 10.9734/ajpas/2022/v17i330424

Climate change and variability have been a source of contention and debate in many parts of the developing world for many years. Different people have different perspectives on climate change and variability. This study examines small-scale farmers' perceptions on climate change impacts and possible adaptation strategies in the Shaki community of Oyo State. The population comprises of two hundred and forty (240) small scale holders’ farmers in the Shaki community of Oyo state, with sample population size of one hundred and fifty (150) randomly selected with non – probability (judge-mental) sampling technique. Survey research design was adopted for the study. Descriptive statistics and chi-square tests were used to analyze the data collected. The results from the analyzed data reveals among others the following, 74.7 percent of farmers were aware of climate change prior to the time this survey was conducted. Furthermore, 92 percent of farmers claimed to have noticed an increase in temperature, while 47.3 percent reported a decrease in rainfall. The farmers' perceptions of temperature and rainfall were supported by trend analysis, which revealed that total rainfall was decreasing by 2.1mm per year while temperatures were increasing by 0.029 degrees Celsius per year. They responded to the changing climate by implementing a variety of climate-adaptive strategies, including the planting of drought-resistant and pest/disease-resistant crops, government assistance, the use of Nigerian Meteorological Agency (NIMET) seasonal rainfall prediction forecasts, and mulching to reduce water loss. However, the study found a positive and significant relationship between farmers' socio-demographic characteristics and their perceptions of climate change, implying that only farmers' age, education level, and annual household income had a significant impact on their climate change perceptions.