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Aug 23, 2021Open Access
Based on application of Linear Regression Model in national economy. Statistical Yearbook of China is a statistical data book published by China. Some different types of data in China have been documented every year. The dissertation is researching some part of national economy in Statistical Yearbook of China to research the relationship between GNP (gross national product) and various data, and afterwards to establish model to achieve some rationalization suggestions for the futu...
Jul 01, 2021Open Access
In recent years, deep learning technology has been widely used and developed. In natural language processing tasks, pre-training models have been more widely used. Whether it is sentence extraction or sentiment analysis of text, the pre-training model plays a very important role. The use of a large-scale corpus for unsupervised pre-training of models has proven to be an excellent and effective way to provide models. This article summarizes the existing pre-training models and sorts out the impro...
Jun 02, 2021Open Access
The good academic performance of students at the Senior High School is of paramount importance in every educational system. Meanwhile, numerous factors influence the academic performance of students and have been researched, but many problems persist. A literature review in this area would provide the gaps and areas that need more research and will go a long way to curb the situation. The current paper used a narrative review method to review the literature on the academic performance of student...
Aug 25, 2020Open Access
The paper explores and establishes a unique Bayesian framework for estimating three shape parameters of the McDonald generalized beta-binomial distribution. The mixture distribution is used in modelling overdispersed binomial data. Foundations of the framework have been enriched by knowledge of Bayesian statistics and Markov Chain Monte Carlo methods. A Metropolis within Gibbs Monte Carlo method to sample from the unknown posterior form of the distribution was used. The shape parameters (α, β an...
Nov 27, 2019Open Access
With the method of text mining, this paper takes the related data of Rodong Sinmun in the recent ten years as the research object, extracts the hot topics and carries on the trend analysis. With the special attribute of his speech media, this paper analyzes the political issue. By extracting nearly one million news text data, their topic content is analyzed, combining with LDA topic model, and using K-means clustering algorithm. A ...
Sep 16, 2019Open Access
As one of the core contents of China, “The Belt and Road” is very necessary to analyze the impact and significance of “The Belt and Road” on the domestic areas and Korean Peninsula areas in the context of big data. The text mining method was used to extract the core content and hot topics from the news reports of “The Belt and Road” in China and the Korean Peninsula in recent domestic and internatio ...
Apr 12, 2019Open Access
The aim of this study is to evaluate factory workers’ job satisfaction in a man-ufacturing plant in Sri Lanka. A sample of 180 employees from a study population of 846 was taken. Stratified Random Sampling method was used as the sampling technique. The tool used for the data collection is a questionnaire which was designed covering all the aspects related to the job satisfaction of the factory workers in the manufacturing plant. T ...
Feb 28, 2019Open Access
We put forward a model based on item response theory that highlights the role of latent features called “proficiency” and “propensity”. The model is adjusted to data from the decisions made in a high-stakes exam taken by 10,822 Brazilian high school students. Our model aims to recover infor-mation regarding the role the latent features (proficiency and propensity) play in a decision. We find that the decision of responding or not ...
Oct 23, 2018Open Access
Excess number of zeros (zero inflation, ZI) in count data is a common phenomenon which must be addressed in any analysis. The extra zeros may be a result of over-dispersion in the data. Ignoring zero-inflation can result in biased parameter estimates and standard errors. Over-dispersion is also associated with a zero-inflated data. Depending on the selected model, different results and conclusions may be reached. In this paper ...
Apr 28, 2018Open Access
As China’s population
aging advancement becomes more and more obvious, the social security system is
insufficient to support the rapid huge aging society. The conditions of
family-provide for the aged are weakened gradually while social pensions draw
more and more attention. As a potential social capital, non-profit organization
is an important force for assisting the work of care for the aged. This
research focuses on t ...
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