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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… Expand
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Papers overview

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Review
2017
Review
2017
We commonly refer to state-estimation theory in geosciences as data assimilation. This term encompasses the entire sequence of… Expand
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Review
2016
Review
2016
Detecting and repairing dirty data is one of the perennial challenges in data analytics, and failure to do so can result in… Expand
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Highly Cited
2004
Highly Cited
2004
1. The general discrete inverse problem 2. Monte Carol methods 3. The least-squares criterion 4. Least-absolute values criterion… Expand
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Highly Cited
1993
Highly Cited
1993
Minimum variance unbiased estimation Cramer-Rao lower bound linear models general minimum variance unbiased estimation best… Expand
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Highly Cited
1993
Highly Cited
1993
The Item Characteristic Curve: Dichotomous Response Estimating the Parameters of an Item Characteristic Curve Maximum Likelihood… Expand
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Highly Cited
1993
Highly Cited
1993
We describe a series of five statistical models of the translation process and give algorithms for estimating the parameters of… Expand
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Highly Cited
1988
Highly Cited
1988
Preface I. Introduction II. Elements of Hypothesis Testing III. Signal Detection in Discrete Time IV. Elements of Parameter… Expand
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Highly Cited
1987
Highly Cited
1987
Part 1. Discrete Inverse Problems. 1. The General Discrete Inverse Problem. 2. The Trial and Error Method. 3. Monte Carlo Methods… Expand
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Highly Cited
1979
Highly Cited
1979
Processing the signals received on an array of sensors for the location of the emitter is of great enough interest to have been… Expand
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Highly Cited
1979
Highly Cited
1979
This best-selling text focuses on the analysis and design of complicated dynamics systems. CHOICE called it "a high-level… Expand
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