Prediction of TBM performance in fresh through weathered granite using empirical and statistical approaches

2021 ◽  
Vol 118 ◽  
pp. 104183
Author(s):  
Danial Jahed Armaghani ◽  
Saffet Yagiz ◽  
Edy Tonnizam Mohamad ◽  
Jian Zhou
Keyword(s):  
Tbm Performance ◽  
Weathered Granite ◽  
Statistical Approaches

Advanced Statistical Tools for Improving Yield and Reliability

1999 ◽  
Author(s):  
Richard C. Kittler
Keyword(s):  
Data Mining ◽  
Analysis Data ◽  
Neural Nets ◽  
Future Trends ◽  
Statistical Tools ◽  
Mining Technology ◽  
Explanatory Variables ◽  
Data Coverage ◽  
Statistical Approaches ◽  
Adequate Data

Abstract Analysis of manufacturing data as a tool for failure analysts often meets with roadblocks due to the complex non-linear behaviors of the relationships between failure rates and explanatory variables drawn from process history. The current work describes how the use of a comprehensive engineering database and data mining technology over-comes some of these difficulties and enables new classes of problems to be solved. The characteristics of the database design necessary for adequate data coverage and unit traceability are discussed. Data mining technology is explained and contrasted with traditional statistical approaches as well as those of expert systems, neural nets, and signature analysis. Data mining is applied to a number of common problem scenarios. Finally, future trends in data mining technology relevant to failure analysis are discussed.

Looking Back … And Looking Forward

2018 ◽  
Vol 33 (3) ◽  
pp. 23-33 ◽  
Author(s):  
Sue Ravenscroft
Keyword(s):  
Graduate Studies ◽  
The People ◽  
Cost Of Education ◽  
Statistical Approaches ◽  
Impact Of Technology ◽  
Looking Back

ABSTRACT In this essay I reflect on my career in academic accounting and explore what has remained the same and what has changed over that time. I examine the people who enter academic accounting, the content of graduate studies, and the contents of the American Accounting Association's premier journal, all of which have changed. I consider how our research remains constrained by boundaries and some statistical approaches that we impose on it. I briefly discuss two significant changes facing students—the major impact of technology on their lives and the rapidly increasing cost of education. I note what I believe are some unsustainable features of our profession and end with a call to revisit our purpose—individually and as a profession.

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