Results 91 to 100 of about 606,425 (294)
On Two-Stage Non-Parametric Estimation [PDF]
The Annals of Mathematical Statistics, 1963 Abstract : A two-sample, two-stage non-parametric estimation problem is studied. The parameter phi phi(F, G) under consideration is estimable (i.e., there exists an unbiased estimator which is a function of independent observations from two populations with cumulative distribution functions F(X) and G(Y). (Hence, it is called a two-sample problem.) The
openaire +3 more sources
Distributed Regression in Sensor Networks: Training Distributively with Alternating Projections
, 2005 Wireless sensor networks (WSNs) have attracted considerable attention in recent years and motivate a host of new challenges for distributed signal processing. The problem of distributed or decentralized estimation has often been considered in the context
Kulkarni, Sanjeev R. +2 more
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FEBS Open Bio, EarlyView.dUTPases are involved in balancing the appropriate nucleotide pools. We showed that dUTPase is essential for normal development in zebrafish. The different zebrafish genomes contain several single‐nucleotide variations (SNPs) of the dut gene. One of the dUTPase variants displayed drastically lower protein stability and catalytic efficiency as compared ...
Viktória Perey‐Simon +6 more
wiley +1 more source
IEEE AccessThe principal issue associated with wind parks (WPs) based on doubly-fed induction generators (DFIGs) is their vulnerability to network faults. This paper presents a novel nonlinear forward power controller design with an adaptive backstepping command ...
Azeddine Loulijat +6 more
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Finite Sample Comparison of Parametric, Semiparametric, and Wavelet Estimators of Fractional Integration [PDF]
In this paper we compare through Monte Carlo simulations the finite sample properties of estimators of the fractional differencing parameter, d. This involves frequency domain, time domain, and wavelet based approaches and we consider both parametric and
Morten Ørregaard Nielsen +1 more
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FEBS Open Bio, EarlyView.Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley +1 more source
Adaptive Pointwise Estimation in Time-Inhomogeneous Time-Series Models [PDF]
This paper offers a new method for estimation and forecasting of the linear and nonlinear time series when the stationarity assumption is violated. Our general local parametric approach particularly applies to general varying-coefficient parametric ...
Cizek, P., Haerdle, W., Spokoiny, V.
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FEBS Open Bio, EarlyView.Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
PARAMETRIC SYNTHESIS OF MODELS FOR MULTICRITERIAL ESTIMATION OF TECHNOLOGICAL SYSTEMS
Сучасний стан наукових досліджень та технологій в промисловості, 2017 The subject matter of the article is the problem of multicriteria estimation of the properties of technological systems (TS) in the process of their structural-parametric optimization. The goal of the study is to increase the efficiency of procedures for
Vladimir Beskorovainyi
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Bootstrap CI and test statistics for kernel density estimates using Stata [PDF]
In recent years non-parametric density estimation has been extensively employed in several fields as a powerful descriptive tool, which is far more informative and robust than histograms.
Carlo Fiorio
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