Results 241 to 250 of about 1,850,698 (295)
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Biometrika, 1988
A time series model of the form \[ X_ t=a\cos (wt+f)+e_ t \] where \(e_ t\) is a stationary noise sequence is considered. The paper discusses a least squares procedure for estimating a, w and f of the harmonic component. One aim of the paper is to see how reliable the asymptotic theory of the estimates of w is.
Rice, John A., Rosenblatt, Murray
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A time series model of the form \[ X_ t=a\cos (wt+f)+e_ t \] where \(e_ t\) is a stationary noise sequence is considered. The paper discusses a least squares procedure for estimating a, w and f of the harmonic component. One aim of the paper is to see how reliable the asymptotic theory of the estimates of w is.
Rice, John A., Rosenblatt, Murray
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Autoregressive frequency estimation
Biometrika, 1989Summary: Presume that an autoregressive model of given order is fitted to data obtained from a realization of a sinusoidal signal embedded in white noise. This paper investigates the statistical properties of the estimate of the frequency of the signal obtained by minimizing the transfer function of the autoregression.
Mackisack, M. S., Poskitt, D. S.
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A New Frequency Estimator in Multi-Frequency Estimation
Applied Mechanics and Materials, 2014By analyzing the second-order and fourth-order IIR filter that affect the variance adaptive prove second-order IIR model has a single peak characteristics, to achieve stable convergence; while the higher-order IIR model polymorphic, so the need for the estimated parameters are initialized conclusions.
Dong Xu Zhu, Jiu Ying Zhi, Gang Fu
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2011
Methods of estimating allele frequencies from data on unrelated and related individuals are described in this chapter. For samples of unrelated individuals with simple codominant markers, the natural estimator of allele frequencies can be used. For genetic data on related individuals, maximum likelihood estimation (MLE) can be applied to compute allele
Indra, Adrianto, Courtney, Montgomery
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Methods of estimating allele frequencies from data on unrelated and related individuals are described in this chapter. For samples of unrelated individuals with simple codominant markers, the natural estimator of allele frequencies can be used. For genetic data on related individuals, maximum likelihood estimation (MLE) can be applied to compute allele
Indra, Adrianto, Courtney, Montgomery
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Malaria haplotype frequency estimation
Statistics in Medicine, 2013We present a Bayesian approach for estimating the relative frequencies of multi‐single nucleotide polymorphism (SNP) haplotypes in populations of the malaria parasite Plasmodium falciparum by using microarray SNP data from human blood samples. Each sample comes from a malaria patient and contains one or several parasite clones that may genetically ...
Wigger, Leonore +2 more
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Estimation of haplotype frequencies
Tissue Antigens, 1983Maximum likelihood estimates of haplotype frequencies in multilocus systems are often zero and so may be genetically inacceptable. Estimation problems are discussed, and preferable estimates are derived.
N E, Morton +3 more
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Journal of Time Series Analysis, 1993
Abstract.An algorithm is presented for on‐line estimation of the frequency ω from dataxj=Acos(jω+φ) +μjwhereμjis generated by a stationary process. The algorithm requires only about 20 calculations at each time point. Theorems justifying the algorithm as asymptotically efficient are presented.
Hannan, E. J., Huang, D.
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Abstract.An algorithm is presented for on‐line estimation of the frequency ω from dataxj=Acos(jω+φ) +μjwhereμjis generated by a stationary process. The algorithm requires only about 20 calculations at each time point. Theorems justifying the algorithm as asymptotically efficient are presented.
Hannan, E. J., Huang, D.
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HAPLOFREQ—Estimating Haplotype Frequencies Efficiently
Journal of Computational Biology, 2005A commonly used tool in disease association studies is the search for discrepancies between the haplotype distribution in the case and control populations. In order to find this discrepancy, the haplotypes frequency in each of the populations is estimated from the genotypes.
Eran, Halperin, Elad, Hazan
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Multi-Frequency Estimates Based on IIR Adaptive Frequency Estimator
Advanced Materials Research, 2014Presents a IIR adaptive frequency estimator to achieve multi-frequency estimation algorithm. More traditional phase locked loop algorithm, which has no mixing components, to achieve the advantages of full-band frequency estimation, frequency estimation accuracy under the same environment and phase locked loop fairly.
Ming Xin Kou, Jian Hua Lin, Gang Fu
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