Results 11 to 20 of about 693,971 (210)
Inference for Extremal Conditional Quantile Models, with an Application to Market and Birthweight Risks [PDF]
, 2009 Quantile regression is an increasingly important empirical tool in economics and other sciences for analyzing the impact of a set of regressors on the conditional distribution of an outcome. Extremal quantile regression, or quantile regression applied to
Chernozhukov, Victor +1 more
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Antieigenvalue analysis for continuum mechanics, economics, and number theory
Special Matrices, 2016 My recent book Antieigenvalue Analysis, World-Scientific, 2012, presented the theory of antieigenvalues from its inception in 1966 up to 2010, and its applications within those forty-five years to Numerical Analysis, Wavelets, Statistics, Quantum ...
Gustafson Karl
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Statistical Matching Using Propensity Scores: Theory and Application to the Levy Institute Measure of Economic Well-Being [PDF]
SSRN Electronic Journal, 2008 This paper summarizes the background, type, logic, and working procedure of the statistical matching used in the Levy Institute Measure of Economic Well-Being (LIMEW) project to combine the various data sets used to produce the synthetic data set with which the LIMEW is constructed.
Hyunsub Kum, Thomas Masterson
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An increasing public health problem: Suspected rabies exposures
Journal of Infection in Developing Countries, 2021 Introduction: The increasing trend of rabies suspected exposures is a serious public health problem that is challenging the health systems of developing countries both in terms of labor and economics. The purpose of our study is to determine the current
Ahmet Onder Porsuk, Cigdem Cerit
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International Journal for the Scholarship of Teaching and Learning, 2018 The Monty Hall Dilemma (MHD), made famous by the television game show Let’s Make a Deal, can be an effective teaching tool with wide ranging behavioral science applications. The format and history of the problem are presented as well as experimental data
Kevin Bennett
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A novel estimator for the rate of information transfer by continuous signals. [PDF]
PLoS ONE, 2011 The information transfer rate provides an objective and rigorous way to quantify how much information is being transmitted through a communications channel whose input and output consist of time-varying signals. However, current estimators of information
Jouni Takalo +3 more
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A Simulation-Based Testing of Difference in the Means of Gamma-Distributed Positive Quantities
Applied Sciences, 2023 This paper presents a simulation-based testing procedure that can be easily applied by practitioners who try to determine whether two gamma-distributed variables have the same expected values. From both theoretical and practical points of view, the gamma
Filip Tošenovský
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IOP Conference Series: Earth and Environmental Science, 2022 Abstract Improving the use of basic funds and production capacity in oil and gas recovery is not only the introduction of new techniques and technology, but also the improvement of labor, management and organization of work. The process of renewal of the fixed capital and production forces is considered intensive at the time when the ...
Q A Safarov, G Vagif gizi, S V Galkin
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On family of the Caputo-type fractional numerical scheme for solving polynomial equations
Applied Mathematics in Science and Engineering, 2023 Fractional calculus can be used to fully describe numerous real-world situations in a wide range of scientific disciplines, including natural science, social science, electrical, chemical, and mechanical engineering, economics, statistics, weather ...
Mudassir Shams +5 more
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Frontiers in Endocrinology, 2023 IntroductionMachine learning (ML) corresponds to a wide variety of methods that use mathematics, statistics and computational science to learn from multiple variables simultaneously.
Daniela Mennickent +18 more
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