Some Results on Convolutions and a Statistical Application

1989 ◽  
pp. 75-90 ◽  
Author(s):  
M. L. Eaton ◽  
L. J. Gleser
Keyword(s):  
Statistical Application

scholarly journals The use of effect size indices to determine practical significance

2006 ◽  
Vol 25 (3) ◽  
Author(s):  
H. S. Styn ◽  
S. M. Ellis
Keyword(s):  
Effect Size ◽  
Statistical Significance ◽  
Empirical Studies ◽  
Research Literature ◽  
Effect Sizes ◽  
Practical Significance ◽  
Significance Tests ◽  
Statistical Application ◽  
Significant Difference

The determination of significance of differences in means and of relationships between variables is of importance in many empirical studies. Usually only statistical significance is reported, which does not necessarily indicate an important (practically significant) difference or relationship. With studies based on probability samples, effect size indices should be reported in addition to statistical significance tests in order to comment on practical significance. Where complete populations or convenience samples are worked with, the determination of statistical significance is strictly speaking no longer relevant, while the effect size indices can be used as a basis to judge significance. In this article attention is paid to the use of effect size indices in order to establish practical significance. It is also shown how these indices are utilized in a few fields of statistical application and how it receives attention in statistical literature and computer packages. The use of effect sizes is illustrated by a few examples from the research literature.

Is Islamic brand attitudes influence Thai Muslims’ buying behavioural intentions: a quantitative analysis using smart-PLS

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Phattharatharaporn Singkheeprapha ◽  
Zulfiqar Ali Jumani ◽  
Sasiwemon Sukhabot
Keyword(s):  
Significant Feature ◽  
Brand Attitudes ◽  
Small Companies ◽  
Content Type ◽  
Behavioural Intentions ◽  
Statistical Application ◽  
Muslim People ◽  
Southern Thailand ◽  
Muslim Minority ◽  
Practical Implications

Purpose In southeast Asia, international companies are growing to serve customers with multiple faiths. This study aims to focus on Thailand and it is one of Southeast Asia’s nations and it has Muslim minority customers. To represent Thai Muslim companies, Thai Muslims are marketing their goods by bearing the tagline “we are Islamic”. Scholars described it as “Islamic brands”. This research describes the significant feature of Islamic brands between Thai Muslim people. It examines, which of the Islamic brand dimensions motivates Thai customers towards buying Islamic brands. Design/methodology/approach The current study’s conceptual model was the theory of planned behaviour (TPB) and 281 Thai Muslims responded via a standardised survey. The data was collected from four southern Thailand provinces (Narathiwat, Pattani, Satun and Yala) and the statistical application Smart-partial least-squares 3 was used for data analysis. Findings The most significant factor motivating Thai Muslims towards purchasing Islamic brands is the customer’s Islamic brand. The second factor was the Islamic brands by compliance and Islamic brands by country of origin. Research limitations/implications Three regions in Thailand have been researched, as well as the results concentrate only on three Islamic brand attitudes as independent variables and the development of behavioural expectations of TPB. This research also presents a model that could help understand the consumer perceptions about Islamic brands and established brands amongst various consumers. Practical implications The present research applies to small companies and multi-national businesses, as it illuminates and recognises the image of Islamic brands and suggests the preferences of customers in selecting the brand of Islamic brand. Originality/value The current study aims to explain Thai Muslim customers’ buying behavioural intentions while purchasing Islamic brands in Thailand.

Statistics and Analytics Management

2021 ◽  
pp. 351-368
Keyword(s):  
Data Analysis ◽  
Statistical Analysis ◽  
Medium Size ◽  
Business Decision ◽  
Statistical Application ◽  
Application Analysis ◽  
Food And Beverage ◽  
Tools And Techniques ◽  
The Relationship ◽  
Business Relation

This chapter introduces the concept of statistical analysis and analytics management in the contest of food and beverage data analysis and business decision modeling. It lays the foundation for a broad understanding of statistical analysis in general, the meaning of analytics, and the advantages of using statistical data analysis. It emphasizes the relationship between a statistical application, analysis, and business relation using basic statistical information in the decision-making process. It shows various formulas, tools, and techniques for self-conducted analysis in small and medium-size foodservice operations.

A Statistical Application of Euler's Theorem

1968 ◽  
Vol 22 (2) ◽  
pp. 29
Author(s):  
C. Philip Cox
Keyword(s):  
Euler’S Theorem ◽  
Statistical Application
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