Analysis Standard of Higher Education Tuition by Multiple Regressions

2014 ◽  
Vol 926-930 ◽  
pp. 4717-4720
Author(s):  
Hai Yan Xuan ◽  
Yong Xia Shi ◽  
Jin Shu Chen
Keyword(s):  
Higher Education ◽  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Education Funding ◽  
Calculation Formula ◽  
Multivariate Statistical ◽  
Factors Affecting ◽  
Multiple Regressions ◽  
Main Factors

In this paper, for the problem of higher education tuition standard, by analyzing the factors of education funding, we collect and organize the relevant data about the charges of ordinary higher schools and adult higher schools, and get the main factors affecting higher schools tuition; Then, on this basis, we do multivariate statistical analysis for the data and get the calculation formula about the charges tuition standard of higher schools, calculating the standard fee of the two types of schools.

Identifying interrelationships among factors affecting innovation archetypes: the case of China

2020 ◽  
Vol 12 (4) ◽  
pp. 409-432
Author(s):  
Rafif Al-Sayed ◽  
Jianhua Yang
Keyword(s):  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Design Methodology ◽  
Decision Makers ◽  
Innovation Ecosystem ◽  
Multivariate Statistical ◽  
Content Type ◽  
Factors Affecting ◽  
Practical Implications ◽  
Significant Factors

Purpose This paper aims at studying the concept of innovation ecosystems and investigating the factors affecting them based on their interrelationships with respect to different innovation archetypes. Design/methodology/approach The methodology is based on using multivariate statistical analysis of the inter-correlations among a number of variables which led to extracting a reduced set of new significant factors that affect China’s innovation ecosystem. Findings The results showed that innovation archetypes differ significantly with respect to the majority of the new factors. Practical implications Through identifying these challenges, decision-makers can develop a better understanding of the variables affecting each archetype of innovation and act accordingly. Originality/value The study is the first to fill the gap of addressing a large number of variables affecting innovation and analyzing their interrelationships.

scholarly journals Stable development of travel business in the Odessa region: Estimate using multivariate statistical analysis

2021 ◽  
Vol 91 ◽  
pp. 01035
Author(s):  
Valerii Matskul ◽  
Anatoliy Kovalyov ◽  
Valentyn Chernyshev ◽  
Diana Okara
Keyword(s):  
Principal Component Analysis ◽  
Sustainable Development ◽  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Principal Component ◽  
Multivariate Statistical ◽  
The Sustainable Development ◽  
Factors Affecting ◽  
Path Modelling ◽  
Stable Development

The article examines the level of sustainable development of the travel business in the Odessa region of Ukraine. This level is evaluated as a latent indicator, which is characterized by a certain set of signs-symptoms. The methodology used for modeling is Partial Least Squares-Path Modelling (or PLS-PM) and the method Time-Wise Multi-Way Principal Component Analysis. This approach allowed us to identify and evaluate latent and explicit factors affecting the sustainable development of travel business in the Odessa region.

AN APPLICATION OF THE MULTIVARIATE STATISTICAL ANALYSIS TO SERVICE QUALITY MEASUREMENT IN HIGHER EDUCATION

2003 ◽  
Vol 9 (1) ◽  
pp. 93-112
Author(s):  
Suzana Marković
Keyword(s):  
Higher Education ◽  
Statistical Analysis ◽  
Service Quality ◽  
Student Perceptions ◽  
Multivariate Statistical Analysis ◽  
Quality Measurement ◽  
Hospitality Management ◽  
Multivariate Statistical ◽  
Education Service ◽  
Tourism And Hospitality

The conceptualization of service quality and the development of measurement tools and techniques aimed at assessing service quality and customer satisfaction levels within the education sector, have been a central theme of recent years. The research has examined the student expectations and perceptions of service quality in higher education for tourism and hospitality management, using a modified version of SERVQUAL instrument. Data were collected using a questionnaire in two parts. The first part is concerned with student perceptions of higher education institutions in general, while the second part is concerned with Faculty of Tourism and Hospitality Management Opatija in particular. The aim of the present research is the multivariate statistical analysis (factor analysis and reliability analysis) of a SERVQUAL scale adjusted for higher education service quality. The final section of this study is devoted to developing and proposing new directions for future higher education service quality measurement.

Multivariate statistical analysis of elements content in snow cover in Blagoveshchensk

2018 ◽  
Vol 52 (2) ◽  
pp. 15
Author(s):  
V. I. Radomskaya ◽  
D. V. Yusupov ◽  
L. М. Pavlova ◽  
А. G. Sеrgееvа ◽  
N. А. Bоrоdinа ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Snow Cover ◽  
Multivariate Statistical Analysis ◽  
Multivariate Statistical

Multivariate Statistical Analysis Regarding the Formulation of Oxicam-Based Pharmaceutical Hydrogels

2017 ◽  
Vol 68 (4) ◽  
pp. 726-731
Author(s):  
Lenuta Maria Suta ◽  
Anca Tudor ◽  
Colette Roxana Sandulovici ◽  
Lavinia Stelea ◽  
Daniel Hadaruga ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Pharmaceutical Formulations ◽  
Analysis Data ◽  
Multivariate Statistical ◽  
Predictive Variables ◽  
Rapid Release ◽  
Computational Data ◽  
Experimental Protocols ◽  
Formulation Factors

In this paper, it was analysed the influence of formulation factors over obtaining oxicam hydrogels, using the statistical analysis. Data analysis and predictive modeling by multivariate regression offers a large number of possible explanatory/predictive variables. Therefore, variable selection and dimension reduction is a major task for multivariate statistical analysis, especially for multivariate regressions. The statistical analysis and computational data processing of responses obtained from different pharmaceutical formulations, via different experimental protocols, lead to the optimization of the formulation process. It was found that the most suitable pharmaceutical formulations based on oxicams with the possibility of rapid release contained cyclodextrin, in particular 2-hydroxypropyl-b-cyclodextrin.

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