Skip to search formSkip to main content
You are currently offline. Some features of the site may not work correctly.

Inclusion Exclusion Criterion Test

Known as: IETEST 
A character or string that represents the full name of the inclusion exclusion criterion assessment.
National Institutes of Health

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Forecasting the US Unemployment Rate with Job Openings Index
Predicting the unemployment rate is one of the most important applications for economists and policymakers (Golan, 2002). In this… Expand
  • figure 2.1
  • table 2.1
  • figure 2.2
  • figure 2.3
  • table 2.2
2015
2015
A Suitable Model for the Forecast of Exchange Rate in Nigeria (Nigerian Naira versus US Dollar)
This project presents an empirical study of modeling and forecasting time series data of the official Exchange rate of Nigeria… Expand
  • figure 2
  • figure 1
  • table 1
  • table 6
  • table 7
2012
2012
Robust Airfoil Optimization Using Maximum Expected Value and Expected Maximum Value Approaches
Deterministic engineering design often leads to unexpected or physically unrealizable results. This is due to the fact that… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Highly Cited
2009
Highly Cited
2009
Prediction of Shrinkage Pore Volume Fraction Using a Dimensionless Niyama Criterion
A method is presented to use a dimensionless form of the well-known Niyama criterion to directly predict the amount of shrinkage… Expand
  • figure 1
  • table I
  • figure 2
  • figure 4
  • figure 3
Highly Cited
2008
Highly Cited
2008
Distributed Hydrological Modeling and Sensitivity Analysis in Torysa Watershed, Slovakia
The spatially distributed hydrologic model WetSpa is applied to the Torysa river basin (1,297 km2) located in Slovakia. Daily… Expand
  • table 1
  • figure 1
  • figure 2
  • figure 3
  • table 2
Highly Cited
2006
Highly Cited
2006
Separability criteria and bounds for entanglement measures
Employing a recently proposed separability criterion we develop analytical lower bounds for the concurrence and for the… Expand
  • figure 1
  • figure 2
2004
2004
A neural network learning for adaptively extracting cross-correlation features between two high-dimensional data streams
This paper proposes a novel cross-correlation neural network (CNN) model for finding the principal singular subspace of a cross… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
2004
2004
A Theory of IPO Underpricing, Issue Activity, and Long-Run Underperformance
We present a dynamic model of an IPO market in which firms go public to raise capital for investment. The original shareholders… Expand
Highly Cited
1997
Highly Cited
1997
Searching for phylogenetic trees under the frequency parsimony criterion: an approximation using generalized parsimony.
lelic frequency change as measured by the Manhattan metric. We provided three pri? mary arguments for choosing our method over… Expand
  • figure 1
Highly Cited
1978
Highly Cited
1978
Association of Symptoms with Measures of Oculomotor Deficiencies
&NA; Phoria, vergence, and fixation‐disparity were measured at near working distances for a nonclinical sample of 3rd‐yr… Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License
ACCEPT & CONTINUE