Using the projected 2D tilted images obtained from the transmission electron microscopy, we can reconstruct the 3D structures of samples, such as cells. As a preprocessing procedure, the tilted images should be aligne...
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ISBN:
(纸本)9781424456536
Using the projected 2D tilted images obtained from the transmission electron microscopy, we can reconstruct the 3D structures of samples, such as cells. As a preprocessing procedure, the tilted images should be aligned and compensated in terms of the spatial position and the intensity difference, respectively. In this paper, the fiducial marker-based approach is employed to perform the alignment, and based on the transmissivity image formation model, an algorithm that can compensate the image intensities according to the tilted angle is proposed. A numerical analysis using mitochondria images is performed to show the performance of the proposed algorithm.
In this paper,we propose a new biased estimator of the regression parameters,the generalized ridge and principal correlation *** present its some properties and prove that it is superior to LSE(least squares estimator...
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In this paper,we propose a new biased estimator of the regression parameters,the generalized ridge and principal correlation *** present its some properties and prove that it is superior to LSE(least squares estimator),principal correlation estimator,ridge and principal correlation estimator under MSE(mean squares error) and PMC(Pitman closeness) criterion,respectively.
Bananas is the most important fruit in international trade for Ecuador. In terms of world export, the volume of fresh bananas is # 1, while is second after citrus fruit in terms of value. Economic,social, environmenta...
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Bananas is the most important fruit in international trade for Ecuador. In terms of world export, the volume of fresh bananas is # 1, while is second after citrus fruit in terms of value. Economic,social, environmental and political aspects are important for the international trade of banana. Although Ecuador has kept an important position as producer country within the world market and represents the 34% of global trade. Since competition has become intense due to the regulation of the international produce market, as a result of WTO regulation, all countries now try to become more competitive both due to the tariff impose by European Union. This has necessitated all exporting countries to device means of getting more competitiveness in order to be a player in the European market with the high consume presence. This paper will do a comparative analysis of the two biggest markets using Ecuador as a case *** research methodology will focus on the demand function of both countries to see how the prices in both markets affect Ecuador exports by using linear regression model to analyze the data generated.
We discuss the influence problem of Ridge Estimator in general linear regression model, study the influence analysis on Ridge Estimator with covariance matrix disturbance and data deletion, define Cook distance of Rid...
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We discuss the influence problem of Ridge Estimator in general linear regression model, study the influence analysis on Ridge Estimator with covariance matrix disturbance and data deletion, define Cook distance of Rideg Estimator based on biased estimator.
Predictive influence of explanatory variables has been studied in both univariate and multivariate distributions. In the Bayesian approach, the same problem is considered in absence of multicollinearity in the dataset...
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Predictive influence of explanatory variables has been studied in both univariate and multivariate distributions. In the Bayesian approach, the same problem is considered in absence of multicollinearity in the dataset. The aim of this article is to study the same in the presence of perfect multicollinearity. To do this, we first derived the predictive distributions for full model and reduced model using vague prior density. Then the discrepancies between these predictive distributions are measured by the Kullback-Leibler (K-L) directed measure of divergence to assess the influence of deleted explanatory variables. Finally, distribution of the discrepancies is derived and the test procedure is performed.
In this paper, we propose a class of high breakdown point estimators for the linear regression model when the response variable contains censored observations. These estimators are robust against high-leverage outlier...
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In this paper, we propose a class of high breakdown point estimators for the linear regression model when the response variable contains censored observations. These estimators are robust against high-leverage outliers and they generalize the LMS (least median of squares), S, MM and tau-estimators for linearregression. An important contribution of this paper is that we can define consistent estimators using a bounded loss function (or equivalently, a re-descending score function). Since the calculation of these estimators can be computationally costly, we propose an efficient algorithm to compute them. We illustrate their use on an example and present simulation studies that show that these estimators also have good finite sample properties.
The censored linear regression model, also referred to as the accelerated failure time (AFT) model when the logarithm of the survival time is used as the response variable, is widely seen as an alternative to the popu...
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The censored linear regression model, also referred to as the accelerated failure time (AFT) model when the logarithm of the survival time is used as the response variable, is widely seen as an alternative to the popular Cox model when the assumption of proportional hazards is questionable. Buckley and James [linearregression with censored data, Biometrika 66 (1979) 429-436] extended the least squares estimator to the semiparametric censored linear regression model in which the error distribution is completely unspecified. The Buckley-James estimator performs well in many simulation studies and examples. The direct interpretation of the AFT model is also more attractive than the Cox model, as Cox has pointed out, in practical situations. However, the application of the Buckley-James estimation was limited in practice mainly due to its illusive variance. In this paper, we use the empirical likelihood method to derive a new test and confidence interval based on the Buckley-James estimator of the regression coefficient. A standard chi-square distribution is used to calculate the P-value and the confidence interval. The proposed empirical likelihood method does not involve variance estimation. It also shows much better small sample performance than some existing methods in our simulation studies. (c) 2007 Elsevier Inc. All rights reserved.
作者：
郑秋豫张俊祥Phonetics Lab
Institute of Linguistics Academia Sinica Taipei 11529
This study presents evidence from analyses of the acoustic parameters of fluent continuous speech to show that within-paragraph prosodic phrase boundaries are related more to contrasts of neighborhood prosodic states ...
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This study presents evidence from analyses of the acoustic parameters of fluent continuous speech to show that within-paragraph prosodic phrase boundaries are related more to contrasts of neighborhood prosodic states rather than between-phrase pause durations; prosodic states receive more constraints from higher level discourse information. By revising a modular acoustic model by Tseng＇s hierarchical prosodic phrase grouping framework and examining the much varied prosodic phrase （PPh） boundary B3 within speech paragraph, we show that statistical accounts of layered contributions reveal distinct contrasts between boundary immediate duration and intensity patterns irrespective of pause duration. Contrasts of FO contour patterns were also observed in these locations. Evidence was also obtained to illustrate how PPh boundary states are specified more by higher level discourse information than by lower level prosodic word construction. These combined results suggest that contrastive neighboring prosodic states are more significant cues to PPh boundaries than boundary pause duration. The results also help explain why in fluent speech between-phrase pause durations vary greatly, and can be applied to automatic speech segmentation.
This paper proposes a replenishment method suitable for short lifecycle products whose demand is strongly dependent on day of the week Regarding application industries, we focus on retailers such as $1 stores or conve...
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ISBN:
(纸本)9781424423293
This paper proposes a replenishment method suitable for short lifecycle products whose demand is strongly dependent on day of the week Regarding application industries, we focus on retailers such as $1 stores or convenience stores, most of which have small spaces for display but the number of items is significantly large. The proposed method is advantageous since it can also be applicable for newly introduced products.
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