shrinkage estimators
Kernel Mean Shrinkage Estimators
... proposed shrinkage estimator ˜ µ (with the shrinkage parameter being learned from data) to be √ n-consistent and satisfies E k µ ˜ − µk 2 H < E kˆ µ − µk 2 H + O(n −3/2 ) as n → ...to shrinkage ...
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Shrinkage Estimators of the Reliability Characteristics of a Family of Lifetime Distributions
... In Section 2, we propose shrinkage estimators for the powers of λ. We consider estimation of powers of λ because they come in expressions for the moments of dif- ferent distributions and hazard-rate. In ...
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On the comparison of the pre-test and shrinkage estimators for the univariate normal mean
... Alternative estimators are defined to incorporate both the sam- ple as well as the non-sample information in the estimation ...and shrinkage estimators are ...the estimators are compared based ...
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1. Investigation of asset allocation performance using shrinkage estimators for higher moments
... unstable estimators with large standard ...several shrinkage estimators in order to overcome the dimensionality problems and to investigate the performances of several feasible optimization models ...
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A class of shrinkage estimators for the shape parameter of the Weibull lifetime model
... proposed shrinkage estimators of the shape parameter when some prior guess value of is available have been analyzed by using the criteria of bias ratio, mean squared error and relative ...of ...
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Robust Winsorized Shrinkage Estimators for Linear Regression Model
... A simultaneous occurrence of multicollinearity and outliers in Y-space due to non-normality of error variable is considered. To handle the problem of multicollinearity and outliers in the data, a class of Winsorized ...
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Multivariate outlier detection based on a robust Mahalanobis distance with shrinkage estimators
... Correct detection of outliers in the multivariate case is well-known to be a very important task for thorough data analysis. In order to reach that goal properly, it is necessary to consider the shape of the data and its ...
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Bayesian Shrinkage estimators of the multivariate normal distribution
... over time since their introduction by Stein in 1956, James and Stein in 1961 and Stein in 1981. In these works one estimates the mean by shrinking the empirical estimators of the mean, which are better in ...
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Shrinkage Estimation for Aalen's Additive Model
... propose shrinkage estimators for the nonparametric regression co- efficients in Aalen’s additive model under a general linear hypothesis involving the ...stricted estimators of such coefficients via ...
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Shrinkage reweighted regression
... a robust Mahalanobis distance that had the ability to discover outliers with high precision in the vast majority of cases in the simulation scenarios studied in the paper, with both gaussian data and with skewed or ...
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Shrinkage estimation with a matrix loss function
... variance, and where the performance of an estimator is judged using a p ×p matrix quadratic error loss function. A matrix version of the James-Stein estimator is proposed, depending on a tuning constant a. It is shown to ...
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Shrinkage of cane (Arundo donax) I. Irregular shrinkage of green cane due to the collapse of parenchyma cells
... The parenchyma cells showed remarkable collapse during drying. The cells recovered their initial shape after boiling, but more serious recollapse was induced in the following drying process. On the other hand, cell ...
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Multivariate generalized S-estimators.
... of estimators combines high robustness and high ...the estimators are investigated by deriving their breakdown point and the influence ...the estimators, both asymptotically and at finite ...
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CREEP AND SHRINKAGE OF HIGH PERFORMANCE CONCRETE
... 692 | P a g e Due to the variable curing conditions, the attenuation of the shrinkage phenomenon was observed around the age of 250 days. After approximately one year of monitoring, the value of the ...
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Averaging of density kernel estimators
... ing constant 1.06), and SJ (the plug-in approach of Sheater and Jones), following the default choices in the R software [R C17]. The least-square cross-validation bandwidths (ucv and bcv in R) are deliberately not ...
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A Martingale Representation for Matching Estimators
... Proposition 1 provides conditions under which matching discrepancies are negligible in large samples. In practical terms, Proposition 1 demonstrates the benefits of having a large “donor pool” of control units for ...
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On the Failure of the Bootstrap for Matching Estimators
... on estimators where the number of matches is very small, often just one, and the asymptotics based on an increasing number of matches may not provide a good approximation in such ...
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On the Failure of the Bootstrap for Matching Estimators
... on estimators where the number of matches is very small, often just one, and the asymptotics based on an increasing number of matches may not provide a good approximation in such ...
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A Locally Shrinkage of the Biopolymers PLA and PLLA
... properties. Shrinkage is an important value not only in the actual injection process but also after the process is ...finished. Shrinkage varies depending on the thickness of parts and their ...
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The Role of Dilation in Shrinkage Cracking of Concrete
... August. These fluctuations in temperature and relative humidity led to higher rates and magnitude of creep, as shown in Figure 5, partially relieving the restrained shrinkage stress. In this case, dilation occurs ...
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