A Stochastic Restricted Principal Components Regression Estimator in the Linear Model by Daojiang He, Yan Wu

“…The new estimator is constructed by combining the ordinary mixed estimator (OME) and the principal components regression (PCR) estimator, which is called the stochastic restricted principal components (SRPC) regression estimator. …”
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Fitting Copulas with Maximal Entropy by Milan Bubák, Mirko Navara

Subjects: “…maximum entropy estimator…”
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Stochastic black-box optimization using multi-fidelity score function estimator by Atul Agrawal, Kislaya Ravi, Phaedon-Stelios Koutsourelakis, Hans-Joachim Bungartz

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A New Ridge-Type Estimator for the Linear Regression Model: Simulations and Applications by B. M. Golam Kibria, Adewale F. Lukman

“…This paper proposes a new estimator to solve the multicollinearity problem for the linear regression model. …”
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Higher-Order Multifractal Detrended Partial Cross-Correlation Analysis for the Correlation Estimator by Keqiang Dong, Xiaojie Gao

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Winter Feed Estimator: A Practical Tool for the Beef Cow-Calf Producer by Mark Warren, Ed Jennings, Matt Hersom

“…AN244, a 3-page fact sheet by Mark Warren, Ed Jennings, and Matt Hersom, provides a simple approach for estimating dry matter feed requirements of the beef herd and then converting those requirements into an estimate of required hay or silage round rolls. …”
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Evaluating the utility of the HAS‐BLED bleeding‐estimator tool for transurethral resection of prostate by Lu Yu Kuo, Zhong Li Titus Lim, Caitlin Letch, Joshua Silverman, Jason Jae Yeun Kim, Scott McClintock

“…Abstract Objectives To evaluate the utility of the HAS‐BLED bleeding risk‐estimation tool to predict for clinically significant postoperative haematuria in patients receiving transurethral resection of prostate (TURP). …”
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A New Conway Maxwell–Poisson Liu Regression Estimator—Method and Application by Muhammad Nauman Akram, Muhammad Amin, Faiza Sami, Adam Braima Mastor, Omer Mohamed Egeh, Abdisalam Hassan Muse

“…Generally, the maximum likelihood estimator is used for the estimation of unknown parameters of the COMP regression model. …”
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Complete Consistency of the Estimator of Nonparametric Regression Models Based on ρ~-Mixing Sequences by Xuejun Wang, Fengxi Xia, Meimei Ge, Shuhe Hu, Wenzhi Yang

“…As an application, the complete consistency for the nearest neighbor estimator is obtained.…”
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Winter Feed Estimator: A Practical Tool for the Beef Cow-Calf Producer by Mark Warren, Ed Jennings, Matt Hersom

“…AN244, a 3-page fact sheet by Mark Warren, Ed Jennings, and Matt Hersom, provides a simple approach for estimating dry matter feed requirements of the beef herd and then converting those requirements into an estimate of required hay or silage round rolls. …”
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On the Weighted Mixed Almost Unbiased Ridge Estimator in Stochastic Restricted Linear Regression by Chaolin Liu, Hu Yang, Jibo Wu

“…We introduce the weighted mixed almost unbiased ridge estimator (WMAURE) based on the weighted mixed estimator (WME) (Trenkler and Toutenburg 1990) and the almost unbiased ridge estimator (AURE) (Akdeniz and Erol 2003) in linear regression model. …”
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Estimating Cotton Yield by Michael J. Mulvaney, Emma Brooks, Pratap Devkota, Ethan Carter, De Broughton, Mark Mauldin, Joseph Iboyi, Mahesh Bashyal, David Wright, Ian Small

“… Preharvest estimation of cotton yield can help growers to determine their return on investment, assess weather-related damages, and adjust crop management. …”
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An estimate for the Taylor coefficients by Eugenijus Manstavičius

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Fano factor estimation by Kamil Rajdl, Petr Lansky

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Calibrated estimators of the ratio by Alesandras Plikusas

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How Food Shape Influences Calorie Content Estimation: The Biasing Estimation of Calories by Shan Li, Yichen Zhao, Siyue Liu

“…However, although a growing number of studies have focused on the impact of food attributes on consumers, the sensory correspondence between food shape and calorie estimation is an underresearched topic. This review, therefore, reports on three studies investigating the effect of food shape on calorie content estimation, whereby participants perceived food in a square shape to have a higher calorie content than food in a circular shape. …”
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Convolutional Neural Networks for Direction of Arrival Estimation Compared to Classical Estimators and Bounds by Christopher J. Bell, Kaushallya Adhikari, Andrew Brown

“…Recently, there has been a proliferation of applied machine learning (ML) research, including the use of convolutional neural networks (CNNs) for direction of arrival (DoA) estimation. With the increasing amount of research in this area, it is important to balance the performance and computational costs of CNNs with classical methods of DoA estimation such as Multiple Signal Classification (MUSIC). …”
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Kibria–Lukman Hybrid Estimator for Handling Multicollinearity in Poisson Regression Model: Method and Application by Hleil Alrweili

“…However, when explanatory variables in the model are correlated, the estimation of regression coefficients using the maximum likelihood estimator (MLE) can be compromised by multicollinearity. …”
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Retracted: On Some Classes of Estimators Derived from the Positive Part of James–Stein Estimator by Journal of Mathematics

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The Strong Consistency of the Estimator of Fixed-Design Regression Model under Negatively Dependent Sequences by Xuejun Wang, Meimei Ge, Shuhe Hu, Xize Wang

“…As an application, the strong consistency for the nearest neighbor estimator is obtained.…”
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