Parametric statistical techniques for the comparative analysis of censored reliability data: a review

1995 ◽  
Vol 48 (2) ◽  
pp. 149-155 ◽  
Author(s):  
George A. Bohoris
Keyword(s):  
Comparative Analysis ◽  
Statistical Techniques ◽  
Reliability Data

Tax Identification Number and Non-Oiuta Revenue: A Comparative Analysis of Pre and Post Tin Advanced Taxation Management (ACC 921)

2018 ◽  
Vol 3 (1) ◽  
pp. 48-58
Author(s):  
Ngozi G. Iheduru ◽  
Obioma O. Ajaero
Keyword(s):  
Comparative Analysis ◽  
Central Bank ◽  
T Test ◽  
Tax Revenue ◽  
Statistical Techniques ◽  
Total Revenue ◽  
Identification Number ◽  
Independent Variables ◽  
Taxation Management

Non-oil tax revenue constitutes an integral part of the total revenue of Nigeria. It is expected that the introduction of the Taxpayer Identification Number (TIN) will have a significant effect on total non oil tax revenue since more companies would be captured by the tax net. This paper therefore set out to empirically investigate the effect of TIN on non oil tax revenue through a comparative analysis of pre and post TIN years of 2000 to 2015. Data was collected from Central Bank of Nigeria (CBN) Statistical Bulletin. The study employed both descriptive and pairwise t-test statistical techniques for analyses with total non-oil tax revenue as the dependent variable while CIT, VAT and TET were the independent variables. Findings showed that there has been a significant increase in total non-oil tax revenue with the introduction of TIN. Also, revenue generated from CIT and TET after the implementation of TIN improved significantly. VAT revenue however, did not improve after the implementation of TIN. Recommendations include that the VAT base needs to be enlarged through electronic capture of all VATable persons.

Comparative analysis of academic grades in compulsory secondary education in Spain using statistical techniques

2017 ◽  
Vol 43 (5) ◽  
pp. 533-548 ◽  
Author(s):  
Alejandro Veas ◽  
Raquel Gilar ◽  
Pablo Miñano ◽  
Juan Luis Castejón
Keyword(s):  
Comparative Analysis ◽  
Secondary Education ◽  
Statistical Techniques ◽  
Academic Grades

Relation between OCB, conflict managing, and productivity: A comparative analysis on the single working women in Vietnam and UAE

2021 ◽  
Author(s):  
Howel Kauffman
Keyword(s):  
Conflict Resolution ◽  
Comparative Analysis ◽  
Working Mothers ◽  
Positive Impact ◽  
Working Women ◽  
Statistical Techniques ◽  
Resources Management ◽  
Working Day

This study seeks to empirically examine the Relation between OCB (with exterior behaviors), conflictmanaging, and productivity on the sample of 203 single working mothers in Vietnam and UAE. We utilizedthe newly proposed version of OCB theory which incorporates the “exterior” behaviors[1] .New studiesproposes that the conflict occurrence management is now believed to be the better solutions of theinterpersonal conflicts [2]. Following this new proposal, we collected the data on ‘’managing the conflictoccurrence’’, instead of the data of traditional conflict resolution. Again, instead of collecting data inconventional way, we collected the data of micro-information two times a day (working day). We applieda range of parametric and no-parametric statistical techniques in order to investigate the relationshipbetween them. The results indicates that OCB with exterior behavior and conflict occurrencemanagement has significant and positive impact on the productivity. Lastly, this research proposes someHuman resources management (HRM) policies for Vietnam, in order to achieve the 3P: Population,Property, and Productivity.

Infrastrutture e sviluppo locale in Italia

2009 ◽  
pp. 101-165
Author(s):  
Roberto Zoboli ◽  
Anna Montini
Keyword(s):  
Comparative Analysis ◽  
The Other ◽  
Statistical Techniques ◽  
Multivariate Statistical Techniques ◽  
Multivariate Statistical ◽  
North West ◽  
Empirical Results ◽  
North East ◽  
Complex Picture ◽  
The One

- This study suggests the possibility of developing an analysis of Italian infrastructures on the basis of municipal data analysed through the use of multivariate statistical techniques. The empirical results of this work confirm some well-known characteristics of the infrastructural Italian system and identify some less obvious features. In fact, while on the one hand there emerges the usual picture of a country characterised by a North-South dualism, on the other hand, various clusters are identified within each macro-region North-West, North-east, Centre and South which give a more complex picture. This article also provides a comparative analysis with earlier studies.

Comparative analysis of forecasting for air cargo volume: Statistical techniques vs. machine learning

2020 ◽  
Vol 2 (4) ◽  
pp. 243-255
Author(s):  
Jiaming Liu ◽  
Lina Ding ◽  
Xiaoyu Guan ◽  
Jiao Gui ◽  
Jianbin Xu
Keyword(s):  
Machine Learning ◽  
Comparative Analysis ◽  
Statistical Techniques ◽  
Air Cargo

A Comparative Study of Statistical and Rough Computing Models in Predictive Data Analysis

2017 ◽  
Vol 8 (2) ◽  
pp. 32-51 ◽  
Author(s):  
Debi Acharjya ◽  
A. Anitha
Keyword(s):  
Data Analysis ◽  
Comparative Analysis ◽  
Radical Change ◽  
Statistical Techniques ◽  
Data Set ◽  
Intelligent Computing ◽  
Meaningful Information ◽  
Technology Revolution ◽  
Prime Objective ◽  
Computing Models

Information and technology revolution has brought a radical change in the way data are collected. The data collected is of no use unless some useful information is derived from it. Therefore, it is essential to think of some predictive analysis for analyzing data and to get meaningful information. Much research has been carried out in the direction of predictive data analysis starting from statistical techniques to intelligent computing techniques and further to hybridize computing techniques. The prime objective of this paper is to make a comparative analysis between statistical, rough computing, and hybridized techniques. The comparative analysis is carried out over financial bankruptcy data set of Greek industrial bank ETEVA. It is concluded that rough computing techniques provide better accuracy 88.2% as compared to statistical techniques whereas hybridized computing techniques provides still better accuracy 94.1% as compared to rough computing techniques.

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