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Estimation theory

Known as: Estimability, Parameter estimation, Estimation (econometrics) 
Estimation theory is a branch of statistics that deals with estimating the values of parameters based on measured empirical data that has a random… 
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Papers overview

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Highly Cited
2010
Highly Cited
2010
We present an extension to the SRILM toolkit for training maximum entropy language models with N -gram features. The extension… 
2010
2010
This paper presents results of wide band channel measurements at 2.53 GHz for a representative urban macro cell environment in… 
Highly Cited
2005
Highly Cited
2005
The time-of-flight (TOF) principle is a well known principle to acquire a scene in all three dimensions. The advantages of the… 
Highly Cited
2003
Highly Cited
2003
This paper extends the method introduced by Rollins et al. (ISA Trans. 1998, 36, 293) to multiple-input, multiple-output systems… 
Highly Cited
2000
Highly Cited
2000
Geostatistical theory has shown promise in dealing with issues of stability, uniqueness, and identity of estimates inherent in… 
Highly Cited
1999
Highly Cited
1999
Both sensitivity and nonlinearity are important for the efficiency of an estimation algorithm. Knowledge of a general nature on… 
1996
1996
  • M. Covell
  • 1996
  • Corpus ID: 9057102
Eigen-points estimates the image-plane locations of fiduciary points on an object. By estimating multiple locations… 
1994
1994
As many different modal parameter estimation algorithms have evolved over the past twenty years, the ability to view all… 
Review
1994
Review
1994
In the first two parts of this series (published in the previous two issues of TLE), we discussed an alternative way of…