Statistical Approaches to Aerosol Dynamics for Climate Simulation

2014 ◽  
Author(s):  
Wei Zhu
Keyword(s):  
Climate Simulation ◽  
Aerosol Dynamics ◽  
Statistical Approaches

Climate simulation doubles Sahara's age

Nature ◽  
2014 ◽  
Author(s):  
Sid Perkins ◽  
Quirin Schiermeier
Keyword(s):  
Climate Simulation

Qinghai-Xizang (Tibetan) Plateau climate simulation using the regional climate model RegCM3

2013 ◽  
Vol 57 (3) ◽  
pp. 173-186 ◽  
Author(s):  
X Wang ◽  
M Yang ◽  
G Wan ◽  
X Chen ◽  
G Pang
Keyword(s):  
Tibetan Plateau ◽  
Regional Climate Model ◽  
Climate Model ◽  
Regional Climate ◽  
Climate Simulation

Transient high-resolution regional climate simulation for Greece over the period 1960-2100: evaluation and future projections

2015 ◽  
Vol 64 (2) ◽  
pp. 123-140 ◽  
Author(s):  
P Zanis ◽  
E Katragkou ◽  
C Ntogras ◽  
G Marougianni ◽  
A Tsikerdekis ◽  
...  
Keyword(s):  
High Resolution ◽  
Regional Climate ◽  
Climate Simulation ◽  
Regional Climate Simulation ◽  
Future Projections

Statistical-dynamical extrapolation of a nested regional climate simulation

2001 ◽  
Vol 19 ◽  
pp. 1-13 ◽  
Author(s):  
U Busch ◽  
D Heimann
Keyword(s):  
Regional Climate ◽  
Climate Simulation ◽  
Regional Climate Simulation

Spatial Statistical Approaches to Water Quality Modelling

2000 ◽  
Author(s):  
Janardan Mainali
Keyword(s):  
Water Quality ◽  
Water Quality Modelling ◽  
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.

Innovative Statistical Approaches to Modeling Multiple Outcome Data from the NSABP BCPT

2000 ◽  
Author(s):  
Lisa Weissfeld ◽  
Kiros Berhane
Keyword(s):  
Outcome Data ◽  
Multiple Outcome ◽  
Statistical Approaches
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