scholarly journals Application of Statistical Analysis Tools in Historical Research

2020 ◽  
Vol 1533 ◽  
pp. 042008
Author(s):  
QiuYuan Bao
Keyword(s):  
Statistical Analysis ◽  
Historical Research ◽  
Analysis Tools

Risks of Using Statistical Analysis Tools in Project Management Environments

2020 ◽  
Vol 7 (2) ◽  
pp. 1-19
Author(s):  
Brian J. Galli
Keyword(s):  
Risk Management ◽  
Project Management ◽  
Statistical Analysis ◽  
Common Type ◽  
Systematic Search ◽  
Statistical Tools ◽  
Early Stages ◽  
Analysis Tools ◽  
The Common ◽  
The Relationship

The purpose of this study is to examine the risks of using statistical tools in a project basis. A systematic search of certain academic databases has been conducted for this study. Statistical tools could be used in a project, and they should be properly planned and designed. Statistical tools include major activities, such as collecting and analyzing data, providing meaningful interpretation, and reporting findings. When dealing with statistical tools, there are several risks that may exist and impact the project either positively or negatively. This study covers a brief outline of the risk management, statistical tools, and the relationship between the two concepts. Finally, a discussion of the common type of risks that are initiated by using statistical analysis tools are provided, which could be planned, identified, and analyzed in the early stages of the project.

The Role of Structured Reliability Studies in Locomotive Design

1993 ◽  
Vol 207 (2) ◽  
pp. 125-132
Author(s):  
S L Harmsworth
Keyword(s):  
Life Cycle ◽  
Statistical Analysis ◽  
Corrective Action ◽  
General Motors ◽  
Rail Transportation ◽  
Transportation Industry ◽  
Analysis Tools

This paper will illustrate how the rail transportation industry has benefited from the Electro-Motive Division (EMD) of General Motors Corporation adhering to a structured reliability process during the design of new locomotive models. This structured process continues throughout the life cycle of a locomotive to ensure that any potential product problems are detected and analysed and corrective action applied. Details will be provided on how the elements making up the EMD reliability process such as modelling, predictions, growth tests, verification tests and statistical analysis tools have actually been applied to development activities associated with new locomotives.

scholarly journals The Influence of Involvement and Awareness on UAE Women Attitude Towards Fashion Clothing

2018 ◽  
Vol 10 (2) ◽  
pp. 76 ◽  
Author(s):  
Hamza Salim Khraim
Keyword(s):  
Factor Analysis ◽  
Statistical Analysis ◽  
Significant Influence ◽  
Positive Attitude ◽  
Fashion Industry ◽  
Convenience Sample ◽  
Self Confidence ◽  
Analysis Tools

The landscape of fashion industry in UAE has changed and evolved over the years in unprecedented way. This study examines the influence of involvement and awareness on UAE women attitude towards fashion clothing. In addition, we will shed some light on fashion industry inside UAE. For collecting the required data, a self-administered survey was distributed for a convenience sample of female Emirati students resulting in 223 usable responses. Numerous statistical analysis tools were used, first factor analysis was conducted and followed by regression, in addition to items mean and frequency. The results indicate that women in UAE have a positive attitude towards fashion clothing. Self-confidence will increases by following fashion statement got the highest mean by respondents. Further, it was found that involvement has a significant influence on UAE women attitude towards fashion clothing. While awareness have no any influence on UAE women attitude towards fashion clothing.

X-ray microtomography and statistical analysis: Tools to quantitatively classify bread microstructure

2014 ◽  
Vol 124 ◽  
pp. 64-71 ◽  
Author(s):  
Barbara Cafarelli ◽  
Alessia Spada ◽  
Janine Laverse ◽  
Vincenzo Lampignano ◽  
M.A. Del Nobile
Keyword(s):  
Statistical Analysis ◽  
X Ray ◽  
Analysis Tools

scholarly journals An Evaluation of the Effectiveness of Statistical Tools in Project Management Environments

2020 ◽  
Vol 9 (4) ◽  
pp. 1-23
Author(s):  
Brian J. Galli
Keyword(s):  
Project Management ◽  
Data Analysis ◽  
Statistical Analysis ◽  
Literature Review ◽  
Project Managers ◽  
Lessons Learned ◽  
Statistical Tools ◽  
Analysis Tools ◽  
The Impact ◽  
Over Time

Projects are very important to all organizations, as project managers view various issues in the organization from a higher perspective. The conclusions drawn from these projects determine the base on which various decisions affecting the organizations will be made. This paper introduces the statistical analysis tools used in various project environments to differentiate between the effective and ineffective tools of statistical analysis. Statistical analysis tools are useful in analyzing data collected for a study to be conducted on the same data. The literature review illustrates how statistical analysis tools have been effective and useful to researchers. Over time, more effective statistical tools will be invented that will improve the process of data analysis. The findings on different statistical analysis tools will also be highlighted. Thus, the discussions show the impact, applications, and lessons learned from the statistical analysis tools by the project managers and engineers. The study will also present the limitations, along with the conclusions and recommendations.

scholarly journals Lymph node pathology using optical spectroscopy in cancer diagnostics

2008 ◽  
Vol 22 (2-3) ◽  
pp. 97-104 ◽  
Author(s):  
M. Isabelle ◽  
N. Stone ◽  
H. Barr ◽  
M. Vipond ◽  
N. Shepherd ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Statistical Analysis ◽  
Lymph Nodes ◽  
Optical Spectroscopy ◽  
Multivariate Statistical Analysis ◽  
Diagnostic Methods ◽  
Spectroscopic Techniques ◽  
Multivariate Statistical ◽  
Analysis Tools ◽  
Raman And Infrared Spectroscopy

Raman and infrared spectroscopy are optical spectroscopic techniques that use light scattering (Raman) and light absorption (infrared) to probe the vibrational energy levels of molecules in tissue samples. Using these techniques, one can gain an insight into the biochemical composition of cells and tissues by looking at the spectra produced and comparing them with spectra obtained from standards such as proteins, nucleic acids, lipids and carbohydrates. As a result of optical spectroscopy being able to measure these biochemical changes, diagnosis of cancer could take place faster than current diagnostic methods, assisting and offering pathologists and cytologists a novel technology in cancer screening and diagnosis.The purpose of this study is to use both spectroscopic techniques, in combination with multivariate statistical analysis tools, to analyze some of the major biochemical and morphological changes taking place during carcinogenesis and metastasis in lymph nodes and to develop a predictive model to correctly differentiate cancerous from benign lymph nodes taken from oesophageal cancer patients.The results of this study showed that Raman and infrared spectroscopy managed to correctly differentiate between cancerous and benign oesophageal lymph nodes with a training performance greater than 94% using principal component analysis (PCA)-fed linear discriminant analysis (LDA). Cancerous nodes had higher nucleic acid but lower lipid and carbohydrate content compared to benign nodes which is indicative of increased cell proliferation and loss of differentiation.With better understanding of the molecular mechanisms of carcinogenesis and metastasis together with use of multivariate statistical analysis tools, these spectroscopic studies will provide a platform for future development of real-time (in surgery) non-invasive diagnostic tools in medical research.

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