Results 21 to 30 of about 172,938 (287)
Uniform Minimum Variance Unbiased Estimator of Fractal Dimension
Recoletos Multidisciplinary Research Journal, 2021 The paper introduced the concept of a fractal distribution using a power-law distribution. It proceeds to determining the relationship between fractal and exponential distribution using a logarithmic transformation of a fractal random variable which ...
Zeny L. Maureal +2 more
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Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2018 The useof biased estimation techniques is inevitable in connection withmulticollinearity. Two stage ridge estimator is a pioneer biased estimatorwhich is use to recover the problems that are originated from themulticollinearity.
Selma Toker, Nimet Özbay
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Wavelet Estimation of Regression Derivatives for Biased and Negatively Associated Data
Revstat Statistical Journal, 2022 This paper considers the estimation of the derivatives of a regression function based on biased data. The main feature of the study is to explore the case where the data comes from a negatively associated process.
Junke Kou , Christophe Chesneau
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Alternative Admissible Biased Estimators
IEEE Latin America Transactions, 2013 In this work, a biased estimator obtained from an affine transformation of an unbiased estimator will be analyzed. In particular, the method proposed by Y. C. Eldar will be studied, and alternative approaches will be developed for the construction of biased estimators through transformations of unbiased ones.
Gama, Fernando +2 more
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Biased Estimators on Quotient Spaces [PDF]
, 2015 Usual statistics are defined, studied and implemented on Euclidean spaces. But what about statistics on other mathematical spaces, like manifolds with additional properties: Lie groups, Quotient spaces, Stratified spaces etc. How can we describe the interaction between statistics and geometry?
Miolane, Nina, Pennec, Xavier
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IEEE Access, 2021 A situation in which an image is combined with multiple images to form interferometric pairs is often observed in small baseline subset-interferometric synthetic aperture radar (SBAS-InSAR) deformation inversion, and this situation leads to a near linear
Min Zhai +6 more
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Hungarian Journal of Industry and Chemistry, 2017 The use of biased estimators can be found in some historically and up to now important tools in statistical data analysis. In this paper their replacement with unbiased estimators at least in the case of the estimator of the population standard deviation
Tóth Gergely, Szepesváry Pál
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An unbiased estimator with prior information
Arab Journal of Basic and Applied Sciences, 2020 The ordinary least square (OLS) estimator suffers a breakdown in the presence of multicollinearity. The estimator is still unbiased but possesses a significant variance.
Adewale F. Lukman +3 more
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Estimating conflict losses and reporting biases
Proceedings of the National Academy of Sciences, 2023 Determining the number of casualties and fatalities suffered in militarized conflicts is important for conflict measurement, forecasting, and accountability. However, given the nature of conflict, reliable statistics on casualties are rare. Countries or political actors involved in conflicts have incentives to hide or manipulate these numbers, while ...
Benjamin J. Radford +5 more
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Pointwise Optimality of Wavelet Density Estimation for Negatively Associated Biased Sample
Mathematics, 2020 This paper focuses on the density estimation problem that occurs when the sample is negatively associated and biased. We constructed a block thresholding wavelet estimator to recover the density function from the negatively associated biased sample.
Renyu Ye, Xinsheng Liu, Yuncai Yu
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