Results 31 to 40 of about 23,197,056 (323)
Univariate Mean Change Point Detection: Penalization, CUSUM and Optimality [PDF]
, 2018 The problem of univariate mean change point detection and localization based on a sequence of $n$ independent observations with piecewise constant means has been intensively studied for more than half century, and serves as a blueprint for change point ...
Rinaldo, Alessandro, Wang, Daren, Yu, Yi
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Waste(1) The enactment of Sub-Decree No. 113/2015 on Solid Waste Management marked a significant policy shift towards the decentralisation of waste management in Cambodia and some progress has been observed in Phnom Penh and some other large cities and ...
Kohei Hibino +8 more
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An image compression method based on Ramanujan Sums and measures of central dispersion
Ratio Mathematica, 2021 This paper introduces a simple lossy image compression method based on Ramanujan Sums cq(n) and the statistical measures of numerical data such as mean and standard deviation.
S Sajikumar, J Dasan, V Hema
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The American Statistician, 2016 ABSTRACTWhen teaching statistics we often resort to several notions of mean, such as arithmetic mean, geometric mean, and harmonic mean, and hence the student is often left with the question: The word mean appears in all such concepts, so what is actually a mean?
openaire +3 more sources
Mean electromotive force proportional to mean flow in mhd turbulence
, 2009 In mean-field magnetohydrodynamics the mean electromotive force due to velocity and magnetic field fluctuations plays a crucial role. In general it consists of two parts, one independent of and another one proportional to the mean magnetic field.
Brandenburg +9 more
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Forced hyperbolic mean curvature flow [PDF]
, 2012 In this paper, we investigate two hyperbolic flows obtained by adding forcing terms in direction of the position vector to the hyperbolic mean curvature flows in \cite{klw,hdl}.
Mao, Jing
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A new hybrid method for data analysis when a significant percentage of data is missing [PDF]
Journal of HyperstructuresThis article aims to compare the efficiency of different imputation methods with missing data. In this way we use mean, median, Expected-Maximization (EM), regression imputation(RI) and multiple imputations (MI) to replace missing data.In fact, we employ
Behrouz Fathi-Vajargah, Ahmad Nouraldin
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Mean sensitive, mean equicontinuous and almost periodic functions for dynamical systems
, 2019 We show that an $R^d$-topological dynamical system equipped with an invariant ergodic measure has discrete spectrum if and only it is $\mu$-mean equicontinuous (proven for $Z^d$ before).
García-Ramos, Felipe, Marcus, Brian
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Asuhan Keperawatan Pada Ny. S Dengan Stroke Hemoragik (Stroke Hemorrhagic) Di Ruang ICU Rumah Sakit Umum Daerah Karanganyar [PDF]
, 2012 Stroke hemoragik merupakan penyakit neurologis kegawatan sebagai penyebab utama kecacatan fisik dan mental pada usia lanjut maupun usia produktif, dan perempuan sebagai resiko tertinggi dibandingkan dengan laki-laki.
Saho, Arnoldus Mean
core
Optimum thresholding using mean and conditional mean square error
, 2017 We consider a univariate semimartingale model for (the logarithm of) an asset price, containing jumps having possibly infinite activity (IA). The nonparametric threshold estimator of the integrated variance IV proposed in Mancini 2009 is constructed ...
Figueroa-López, José E. +1 more
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