Results 31 to 40 of about 1,617,710 (291)
Peramalan Permintaan Inti Sawit (Kernel) di PT. Perkebunan Nusantara V Sei Pagar
Jurnal Teknik Industri: Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri, 2018 Produksi inti sawit (kernel) yang berlebih di PT. Perkebunan Nusantara V Sei Pagar mengindikasikan produksi yang tidak direncanakan dengan baik. Akibatnya terdapat penumpukan sisa penjualan selama tahun 2016 yang jumlahnya mengalami kenaikan 2 kali lipat
Nofirza Nofirza
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Regression with Ordered Predictors via Ordinal Smoothing Splines
Frontiers in Applied Mathematics and Statistics, 2017 Many applied studies collect one or more ordered categorical predictors, which do not fit neatly within classic regression frameworks. In most cases, ordinal predictors are treated as either nominal (unordered) variables or metric (continuous) variables ...
Nathaniel E. Helwig, Nathaniel E. Helwig
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Heat Kernels, Smoothness Estimates, and Exponential Decay [PDF]
Journal of Fourier Analysis and Applications, 2012 25 ...
Boggess, Albert, Raich, Andrew
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Solving 2D Poisson-type equations using meshless SPH method
Results in Physics, 2019 In the present study, 2D Poisson-type equation is solved by a meshless Symmetric Smoothed Particle Hydrodynamics (SSPH) method. The influence of the kernel function, smoothing length and particle discretizations of problem domain on the solutions of ...
Shuai Liu +6 more
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Computation, 2021 This article deals with the problem of designing regression models for evaluating the parameters of the operation of complex technological equipment—hydroturbine units.
Vladimir Viktorovich Bukhtoyarov +1 more
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Signal Estimation Using Wavelet Analysis of Solution Monitoring Data for Nuclear Safeguards
Axioms, 2013 Wavelets are explored as a data smoothing (or de-noising) option for solution monitoring data in nuclear safeguards. In wavelet-smoothed data, the Gibbs phenomenon can obscure important data features that may be of interest.
Tom Burr, Claire Longo
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Nonparametric Kernel Smoothing Methods. The sm library in Xlisp-Stat
Journal of Statistical Software, 2001 In this paper we describe the Xlisp-Stat version of the sm library, a software for applying nonparametric kernel smoothing methods. The original version of the sm library was written by Bowman and Azzalini in S-Plus, and it is documented in their book ...
Luca Scrucca
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UJI KOEFISIEN VARIANSI KONSTAN DALAM REGRESI NONPARAMETRIK
Infinity, 2015 ABSTRAK Tulisan ini membahas uji baru untuk hipotesis koefisien variansi konstan dalam model umum regresi nonparametrik. Uji ini didasarkan pada estimasi jarak antara kuadrat dari fungsi regresi dan fungsi varians.
Asri Ode Samura
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A Note on Nonparametric Estimation of Conditional Hazard Quantile Function [PDF]
Journal of Risk Analysis and Crisis Response (JRACR), 2017 In this paper, we study an kernel estimator of the conditional hazard quantile function (CHQF) of a scalar response variable Y given a random variable (rv) X taking values in a semi-metric space and using the proposed estimator based of the kernel ...
El Hadj Hamel, Nadia Kadiri, Abbes Rabhi
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Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2004 Kernel smoothers belong to the most popular nonparametric functional estimates. They provide a simple way of finding structure in data. Kernel smoothing can be very well applied on the regression model.
Jitka Poměnková
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