Results 91 to 100 of about 102,915 (146)
Parameter identification and validation analysis for a small USV
, 2015 In this paper a manoeuvre based identification process and parameter analysis of a small unmanned surface vehicle (USV) is described. The objective is to identify unknown hydrodynamic and propulsion parameters in one step by means of a series of ...
Wirtensohn, Stefan +7 more
core +1 more source
The Short-Run Macroeconomic Impact of Foreign Aid to Small States: An Agnostic Timeseries Analysis [PDF]
This study econometrically evaluates the short-run impact of aid in small developing countries (SDCs) by applying a VAR model to study aid's impact on 'absorption' (increasing import demand) and 'spending' (increased domestic demand) across countries ...
Hansen, Henrik, Headey, Derek
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"Mixed Effects Prediction under Benchmarking and Applications to Small Area Estimation" [PDF]
The empirical best linear unbiased predictor (EBLUP) in the linear mixed model (LMM) is useful for the small area estimation in the sense of increasing the precision of estimation of small area means.
Tatsuya Kubokawa
core
Consistent parameter estimation for partially observed diffusions with small noise
, 1990 In this paper we provide a consistency result for the MLE for partially observed diffusion processes with small noise intensities. We prove that if the underlying deterministic system enjoys an identifiability property, then any MLE is close to the true ...
James, Mattew R., Le Gland, François
core +1 more source
Using Extraneous Information and GMM to Estimate Threshold Parameters in TAR Models [PDF]
A prominent class of nonlinear time series models are threshold autoregressive models. Recently work by Kapetanios (2000) has shown in a Monte Carlo setting that the superconsistency property of the threshold parameter estimates does not translate to ...
George Kapetanios
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Photoacoustic imaging (PAI) is an emerging biomedical imaging modality with promise as a point-of-care diagnostic. This imaging modality relies on optical excitation of an absorber followed by production of ultrasound through the photoacoustic effect ...
Yuan, Fang +5 more
core +1 more source
Linear least squares estimation of the first order moving average parameter
We propose an iterative procedure to minimize the sum of squares function which avoids the nonlinear nature of estimating the rst order moving average parameter and provides a closed form of the estimator.
Emili Valdero Mora
core
The Zero-Information-Limit Condition and Spurious Inference in Weakly Identified Models [PDF]
The fact that weak instruments lead to spurious inference is now widely recognized. In this paper we ask whether spurious inference occurs more generally in weakly identified models.
Richard Startz, Charles Nelson
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The classification of one-parameter small quantum groups is an interesting open question. The current paper reveals a new phenomenon that there exist abundant exotic (about 5 times the standard) small quantum groups beyond the Lusztig small quantum ...
Xu, Xiao, Hu, Naihong
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Improvement Power Parameter of Small Induction Motors
, 2013 The master’s thesis Improvement power parameter of small induction motors deals with issues of lowering the losses of small induction motors. The first part introduces with design and principles of operation of induction motors.
Halfar, Tomáš
core