Results 11 to 20 of about 1,693,613 (285)
An introductory survey of probability density function control
Probability density function (PDF) control strategy investigates the controller design approaches where the random variables for the stochastic processes were adjusted to follow the desirable distributions. In other words, the shape of the system PDF can
Mifeng Ren, Qichun Zhang, Jianhua Zhang
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The VIMOS Public Extragalactic Redshift Survey (VIPERS): On the correct recovery of the count-in-cell probability distribution function [PDF]
We compare three methods to measure the count-in-cell probability density function of galaxies in a spectroscopic redshift survey. From this comparison we found that when the sampling is low (the average number of object per cell is around unity) it is ...
Abbas, U. +47 more
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Best Probability Density Function for Random Sampled Data
The maximum entropy method is a theoretically sound approach to construct an analytical form for the probability density function (pdf) given a sample of random events.
Donald J. Jacobs
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The Probability Density Function of Bearing Obtained From a Cartesian-to-Polar Transformation
The problem of tracking a two-dimensional Cartesian state of a target using polar observations is well known. At a close range, a traditional extended Kalman filter (EKF) can fail owing to nonlinearity introduced by the Cartesian-to-polar transformation ...
Kevin R. Ford, Anton J. Haug
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One-dimensional stable probability density functions for rational index 0<α≤2 [PDF]
Fox’s H-function provide a unified and elegant framework to tackle several physical phenomena. We solve the space fractional diffusion equation on the real line equipped with a delta distribution initial condition and identify the corresponding H ...
Agapitos Hatzinikitas +28 more
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Short-Term Probability Density Function Forecasting of Industrial Loads Based on ConvLSTM-MDN
Load forecasting for industrial customers is essential for reliable operation decisions in the electric power industry. However, most of the load forecasting literature has been focused on deterministic load forecasting (DLF) without considering ...
Yuan Y. Wang +5 more
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Deneutrosophication is a process to evaluate real output from neutrosophic information. The paper presents on a novel deneutrosophication algorithm. The process is developed with similarity measure and probability density function (PDF). This similarity
Kanika Mandal
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A generalized beta function and associated probability density
We introduce and establish some properties of a generalized form of the beta function. Corresponding generalized incomplete beta functions are also defined.
Y. Ben Nakhi, S. L. Kalla
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Dark-photon search using data from CRESST-II Phase 2
Identifying the nature and origin of dark matter is one of the major challenges for modern astro and particle physics. Direct dark-matter searches aim at an observation of dark-matter particles interacting within detectors.
G. Angloher +42 more
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Rainfall probability modeling for Neelambur areas of Coimbatore, Tamil Nadu
Daily rainfall data obtained from the rain gauge station, Sulur (110 N and 770 E) were analyzed for fitting one day maximum rainfall, average weekly, monthly and seasonal rainfall data, using different distributions like Normal, Log-normal, Gumbel and ...
B. MAHESHWARA BABU, D. C. SAHOO
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