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Conditional variable importance for random forests
Background Random forests are becoming increasingly popular in many scientific fields because they can cope with "small n large p" problems, complex interactions and even highly correlated predictor variables.
Augustin Thomas+4 more
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On a Class of Random Variables [PDF]
where f(reO) =f(z) is any analytic function regular in a circle of radius R > r about the origin. We can define a particular complex valued random variable Z in the following way: |Z I = r with probability one, and arg Z is uniformly distributed on the interval [-7r, 7]. We shall denote by E the linear operator which "takes the expected value" of Z and
Frank Spitzer
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Expressing a Random Variable in Terms of Uniform Random Variables [PDF]
This note suggests that expressing a distribution function as a mixture of suitably chosen distribution functions leads to improved methods for generating random variables in a computer. The idea is to choose a distribution function which is close to the original and use it most of the time, applying the correction only infrequently.
George Marsaglia
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Generalized random variables [PDF]
Lester E. Dubins
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Introduction/purpose: This paper examines some of the applications of Chebyshev’s inequality. Using Chebyshev’s inequality, the analysis of a preliminary feasibility study for constructing a solar thermal power plant in the Banja Luka area has been ...
Milan B. Pupčević, Zoran D. Mitrović
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In order to understand the seismic damage assessment of reinforced concrete column members, the coupling relationship between the capacity degradation and the accumulated hysteretic energy and the displacement history was considered.
Yukui Wang+3 more
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A Single Valued Neutrosophic Inventory Model with Neutrosophic Random Variable
This paper presents the problematic period of neutrosophic inventory in an inaccurate and unsafe mixed environment. The purpose of this paper is to present demand as a neutrosophic random variable.
S. Broumi
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Modeling of random static loads on a structural cover with limited statistical data
Relevance. Loads on structures are complex stochastic elements that include several types of uncertainties simultaneously. The article describes a probabilistic approach to the load modeling on structural covers taking into account limited statistical ...
Sergey A. Solovev
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Some estimations on continuous random variables for (k, s) −fractional integral operators
In this work, we establish some new (k, s) −fractional integral inequalities of continuous random variables by using the (k, s) −Riemann-Liouville fractional integral operator.
Houas Mohamed
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Optimization Safety Factors to Study an Ultrasonic Motor [PDF]
In this paper, we present a new method based on Optimal Safety Factors (OSF) in the context of the Reliability-Based Design Optimization (RBDO) analysis of ultrasonic motors with traveling wave taking into account the contact between the different ...
Radi Bouchaib+3 more
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