Results 1 to 10 of about 898,993 (246)
Broad Histogram: An Overview [PDF]
Brazilian Journal of Physics, 2000 The Broad Histogram is a method allowing the direct calculation of the energy degeneracy $g(E)$. This quantity is independent of thermodynamic concepts such as thermal equilibrium.
de Oliveira, Paulo Murilo Castro
core +7 more sources
On the distinguishability of histograms [PDF]
Eur.Phys.J.Plus (2013) 128: 143, 2013 We consider an approach for testing the hypothesis that two realizations of the random variables in the form of histograms are taken from the same statistical population (i.e. two histograms are drawn from the same distribution). The approach is based on the notion "significance of deviation". This approach allows to estimate the statistical difference
A. Nikitenko +3 more
arxiv +5 more sources
CHICOM: A code of tests for comparing unweighted and weighted histograms and two weighted histograms [PDF]
Computer Physics Communications, Volume 183, Issue 1, 2012, Pages
193-196, 2011 A self-contained Fortran-77 program for calculating test statistics to compare weighted histogram with unweighted histogram and two histograms with weighted entries is presented. The code calculates test statistics for cases of histograms with normalized weights of events and unnormalized weights of events.
Gagunashvili, Nikolai
arxiv +3 more sources
Biometrika, 2020, 2016 The histogram is widely used as a simple, exploratory display of data, but it is usually not clear how to choose the number and size of bins. We construct a confidence set of distribution functions that optimally address the two main tasks of the histogram: estimating probabilities and detecting features such as increases and modes in the distribution.
Li, Housen +3 more
arxiv +6 more sources
Mathematics in Engineering, 2019 In many tomographic imaging problems the data consist of integrals along lines or curves. Increasingly we encounter "rich tomography" problems where the quantity imaged is higher dimensional than a scalar per voxel, including vectors tensors and ...
Lionheart, William R. B.
core +4 more sources
Exact Histogram Specification Optimized for Structural Similarity [PDF]
, 2008 An exact histogram specification (EHS) method modifies its input image to have a specified histogram. Applications of EHS include image (contrast) enhancement (e.g., by histogram equalization) and histogram watermarking. Performing EHS on an image, however, reduces its visual quality.
Alireza Nasiri Avanaki +20 more
arxiv +3 more sources
IEEE Access, 2021 Frequency histograms are ubiquitous, being practically used in any field of science. In this paper, we present a partial order for frequency histograms and, to our knowledge, no order of this kind has been yet defined. This order is based on the stochastic order of discrete probability distributions and it has invariance properties that make it unique.
Mateu Sbert +5 more
openaire +4 more sources
TVOR: Finding Discrete Total Variation Outliers Among Histograms
IEEE Access, 2021 Pearson's chi-squared test can detect outliers in the data distribution of a given set of histograms. However, in fields such as demographics (for e.g. birth years), outliers may be more easily found in terms of the histogram smoothness where techniques ...
Nikola Banic, Neven Elezovic
doaj +1 more source
Frontiers in Neurology, 2022 Background and purposeUnderstanding the stroke mechanism of middle cerebral artery (MCA) atherosclerosis may inform secondary prevention. The aim of this study was to explore the relationship between vascular wall characteristics and infarction patterns ...
Zelan Ma +9 more
doaj +1 more source
Frontiers in Oncology, 2021 Purpose: We aimed to investigate whether Epstein–Barr virus (EBV) could produce differences on MRI by examining the histogram and texture imaging features.
Qiao Li +14 more
doaj +1 more source