[PDF] Top 20 A generalization of the minimum variance analysis method
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A generalization of the minimum variance analysis method
... field variance in the two components perpendicular to n is smallest along ...the minimum variance eigenvector of the magnetic field, m is then parallel to the intermediate variance ...becomes ... See full document
6
A Generalization of the Mean-Variance Analysis
... Our analysis shows that a decision maker in this framework exhibits three types of aversions: aversion to loss, aversion to uncertainty in gains, and aversion to uncertainty in ... See full document
56
Sensitivity Analysis of Minimum Variance Portfolios
... The optimal portfolio is chosen by the investor with the best market information he or his agent could obtain. There are several reasons why we need to consider the sensitivities of the portfolio to its parameters. First ... See full document
87
Analysis of Variance of Cross-Validation Estimators of the Generalization Error
... both, variance and bias, than the Nadeau and Bengio (2003) ...of variance, over the other forms of cross- validation quickly diminishes as the size of the universe, and hence the size of the test set of ... See full document
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AN APPROXIMATION OF THE MINIMUM-VARIANCE ESTIMATOR OF HERITABILITY BASED ON VARIANCE COMPONENT ANALYSIS
... was the estimate of heritability significantly different from expectation for the parameter set with lowest heritability and population size. Constraining the estimates [r] ... See full document
10
Cluster analysis studies in rice (Oryza sativa L.) using wards minimum variance method.
... Accepted 2 nd December, 2016 Abstract. The nature and magnitude of genetic divergence was estimated in one hundred and fourteen F 5 families of rice obtained from six different crosses along with their seven parents ... See full document
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A mean-variance analysis of the global minimum variance portfolio constructed using the CARBS indices
... Minimum Variance Portfolio Constructed using the CARBS indices Coenraad CA Labuschagne, Niel Oberholzer, and Pierre J Venter Abstract The purpose of this paper is to construct a global minimum ... See full document
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Robust Minimum Variance Beamforming
... D. Outline of the Paper The rest of this paper is organized as follows. In Section II, we discuss the RMVB. A numerically efficient technique based on Lagrange multiplier methods is described; we will see that the RMVB ... See full document
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Estimating the Effect of the Shape Parameter for Probability Distribution Using the Minimum Variance Method
... distribution, minimum variance method Introduction: The estimation of descriptive statistical measures in terms of one of the random samples taken is one of the main reasons for analysis and ... See full document
16
On Linearly Constrained Minimum Variance Beamforming
... We started with specifying the following two head models (Sarvas, 1987). The simple head model that uses a homogeneous sphere in simulating the magnetic fields emanating from current electric dipole neuronal activity ... See full document
47
High dimensional Global Minimum Variance Portfolio
... Global Minimum Variance Portfolio (GMVP) for the high dimensional ...we analysis the limiting properties of the spectral corrected GMVP estimator as the dimension and the number of the sample set ... See full document
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Dominating estimators for the global minimum variance portfolio
... Another method of alleviating the impact of estimation risk is to impose certain restrictions on the estimated covariance matrix or portfolio weights. Examples for restrictions on the covariance matrix are the ... See full document
36
Generalization Propagator Method for DOA Estimation
... 7. Yang, P., F. Yang, and Z. P. Nie, “DOA estimation with sub-array divide technique and interporlated ESPRIT algorithm on a cylindrical conformal array antenna,” Progress In Electromagnetics Research, Vol. 103, 201–216, ... See full document
7
Analysis of variance
... two variance parameters are similar—with the classical method of moments, the estimates are identical, because the superpopulation variance is the expected value of the finite-population ... See full document
7
Minimum variance portfolio optimization in the spiked covariance model
... window method [4] and the performances of the methods are tested under different assumptions of the number of spikes ...our method, we here take into consideration the time correlation in our data ... See full document
5
Wideband Transmitting Adaptive Digital Beamforming Based on Sub-Band Multiple Linear Constrained Minimum Variance Method
... Constrained Minimum Variance Method Guan Wang 1, * , Mingwei Shen 1 , Jianfeng Li 1 , Di Wu 2 , and Daiyin Zhu 2 Abstract—This paper describes wideband transmitting adaptive digital beamforming ... See full document
8
A variance component method for integrated pathway analysis of gene expression data
... 5 × 10 −3 , failing to surpass the Bonferroni-corrected threshold for 723 pathways. This may be a result of the relatively low heritability of DBP (0.33). Twelve pathways show a nominally significant result: Focal ... See full document
6
DEqMS : A Method for Accurate Variance Estimation in Differential Protein Expression Analysis
... statistical analysis of differentially expressed proteins has not been ...statistical analysis of differ- ential protein expression varies between ...statistical method developed specifically for ... See full document
12
PERFORMANCE ANALYSIS OF EFFORT VARIANCE AND COST VARIANCE INVOLVES DIFFERENT STAGES IN SOFTWARE PROJECT BASED ON STATISTICAL METHOD
... Effort variance and Cost variance tracking from beginning stage of the project through the end of the project, thereby consider as good based on statistical ... See full document
12
Performance Analysis of the Blind Minimum Output Variance Estimator for Carrier Frequency Offset in OFDM Systems
... 5. CONCLUSION In this paper, we have examined the performance of the min- imum output variance (MOV) estimator in OFDM systems. The variance and the expectation of the output magnitude have been derived for ... See full document
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