Results 31 to 40 of about 1,779,788 (319)

Uniform Minimum Variance Unbiased Estimator of Fractal Dimension

open access: yesRecoletos 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
doaj   +1 more source

Determining the Effect of Some Biasing Parameter Selection Methods for the Two Stage Ridge Regression Estimator

open access: yesSakarya 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
doaj   +1 more source

Wavelet Estimation of Regression Derivatives for Biased and Negatively Associated Data

open access: yesRevstat 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
doaj   +1 more source

A New Two-parameter Estimator for the Gamma Regression Model

open access: yesStatistics, Optimization & Information Computing, 2022
In this paper, we propose a new two-parameter biased estimator in gamma regression models when there is collinearity among the regressors. We investigate the mean squared error (MSE) properties of the newly proposed estimator.
Yasin Asar, Z. Algamal
semanticscholar   +1 more source

Alternative Admissible Biased Estimators

open access: yesIEEE 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
openaire   +3 more sources

The Triple Difference Estimator

open access: yesSocial Science Research Network, 2020
Triple difference has become a widely used estimator in empirical work. A close reading of articles in top economics journals reveals that the use of the estimator to a large extent rests on intuition.
A. Olden, Jarle Møen
semanticscholar   +1 more source

Biased Estimators on Quotient Spaces [PDF]

open access: yes, 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
openaire   +2 more sources

The Liu-Type Estimator Based on Parameter Optimization and its Application in SBAS Deformation Model Inversion

open access: yesIEEE 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
doaj   +1 more source

Replacement of Biased Estimators with Unbiased Ones in the Case of Student’s t-Distribution and Geary’s Kurtosis

open access: yesHungarian 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
doaj   +1 more source

Estimating conflict losses and reporting biases

open access: yesProceedings 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
openaire   +4 more sources

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