Relevant bibliographies by topics / Chi-square distance measure

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Academic literature on the topic 'Chi-square distance measure'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Chi-square distance measure"

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Ren, Haiping, Shixiao Xiao, and Hui Zhou. "A Chi-square Distance-based Similarity Measure of Single-valued Neutrosophic Set and Applications." International Journal of Computers Communications & Control 14, no. 1 (2019): 78–89. http://dx.doi.org/10.15837/ijccc.2019.1.3430.

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The aim of this paper is to propose a new similarity measure of singlevalued neutrosophic sets (SVNSs). The idea of the construction of the new similarity measure comes from Chi-square distance measure, which is an important measure in the applications of image analysis and statistical inference. Numerical examples are provided to show the superiority of the proposed similarity measure comparing with the existing similarity measures of SVNSs. A weighted similarity is also put forward based on the proposed similarity. Some examples are given to show the effectiveness and practicality of the pro
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Jain, K. C., and Praphull Chhabra. "Bounds on Nonsymmetric Divergence Measure in terms of Other Symmetric and Nonsymmetric Divergence Measures." International Scholarly Research Notices 2014 (October 29, 2014): 1–9. http://dx.doi.org/10.1155/2014/820375.

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Vajda (1972) studied a generalized divergence measure of Csiszar’s class, so called “Chi-m divergence measure.” Variational distance and Chi-square divergence are the special cases of this generalized divergence measure at m=1 and m=2, respectively. In this work, nonparametric nonsymmetric measure of divergence, a particular part of Vajda generalized divergence at m=4, is taken and characterized. Its bounds are studied in terms of some well-known symmetric and nonsymmetric divergence measures of Csiszar’s class by using well-known information inequalities. Comparison of this divergence with ot
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Тамбовцев [Tambovtsev], Юрий [IUriĭ]. "Фоно-типологические расстояния между балтийскими и славянскими языками". Acta Baltico-Slavica 35 (28 липня 2015): 143–57. http://dx.doi.org/10.11649/abs.2011.011.

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Phono-typological distances between Baltic and Slavonic languagesThe application of “Chi-square” criterion allows us to measure the distances between languages objectively. The phono-typological distance between Baltic and Slavonic languages was measured. The phono-typological distance between Lithuanian and Latvian languages is much greater than between Lithuanian and Old Russian. The sound picture of Lithuanian is more similar to modern Russian (6,07) than to Latvian. In its turn, Latvian’s sound picture is more similar to Old Russian (2,47) than Lithuanian. Latvian is more similar to modern
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Ayikpa, Kacoutchy Jean, Diarra Mamadou, Pierre Gouton, and Kablan Jérôme Adou. "Classification of Cocoa Pod Maturity Using Similarity Tools on an Image Database: Comparison of Feature Extractors and Color Spaces." Data 8, no. 6 (2023): 99. http://dx.doi.org/10.3390/data8060099.

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Côte d’Ivoire, the world’s largest cocoa producer, faces the challenge of quality production. Immature or overripe pods cannot produce quality cocoa beans, resulting in losses and an unprofitable harvest. To help farmer cooperatives determine the maturity of cocoa pods in time, our study evaluates the use of automation tools based on similarity measures. Although standard techniques, such as visual inspection and weighing, are commonly used to identify the maturity of cocoa pods, the use of automation tools based on similarity measures can improve the efficiency and accuracy of this process. W
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ZHAO, H., D. NETTLETON, M. SOLLER, and J. C. M. DEKKERS. "Evaluation of linkage disequilibrium measures between multi-allelic markers as predictors of linkage disequilibrium between markers and QTL." Genetical Research 86, no. 1 (2005): 77–87. http://dx.doi.org/10.1017/s001667230500769x.

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Effectiveness of marker-assisted selection (MAS) and quantitative trait loci (QTL) mapping using population-wide linkage disequilibrium (LD) between markers and QTL depends on the extent of LD and how it declines with distance in a population. Because marker–QTL LD cannot be observed directly, the objective of this study was to evaluate alternative measures of observable LD between multi-allelic markers as predictors of usable LD of multi-allelic markers with presumed biallelic QTL. Observable LD between marker pairs was evaluated using eight existing measures and one new measure. These consis
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Kossovsky, Alex Ely. "On the Mistaken Use of the Chi-Square Test in Benford’s Law." Stats 4, no. 2 (2021): 419–53. http://dx.doi.org/10.3390/stats4020027.

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Benford’s Law predicts that the first significant digit on the leftmost side of numbers in real-life data is distributed between all possible 1 to 9 digits approximately as in LOG(1 + 1/digit), so that low digits occur much more frequently than high digits in the first place. Typically researchers, data analysts, and statisticians, rush to apply the chi-square test in order to verify compliance or deviation from this statistical law. In almost all cases of real-life data this approach is mistaken and without mathematical-statistics basis, yet it had become a dogma or rather an impulsive ritual
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Xie, Jianming, Chunfang Chen, Jing Wan, and Qiuxian Dong. "Enhancing the Aczel–Alsina Model: Integrating Hesitant Fuzzy Logic with Chi-Square Distance for Complex Decision-Making." Symmetry 16, no. 12 (2024): 1702. https://doi.org/10.3390/sym16121702.

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The paper presents an innovative method for tackling multi-attribute decision-making (MADM) problems within a hesitant fuzzy (HF) framework. Initially, the paper generalizes the Chi-square distance measure to the hesitant fuzzy context, defining the HF generalized Chi-square distance. Following this, the paper introduces the power average (P-A) operator and the power geometric (P-G) operator to refine the weights derived from Shannon entropy, taking into account the inter-attribute support. Leveraging the strengths of Aczel–Alsina operations and the power operation, the paper proposes the hesi
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ZHAO, H., D. NETTLETON, and J. C. M. DEKKERS. "Evaluation of linkage disequilibrium measures between multi-allelic markers as predictors of linkage disequilibrium between single nucleotide polymorphisms." Genetical Research 89, no. 1 (2007): 1–6. http://dx.doi.org/10.1017/s0016672307008634.

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Effectiveness of marker-assisted selection (MAS) and quantitative trait locus (QTL) mapping using population-wide linkage disequilibrium (LD) between markers and QTLs depends on the extent of LD and how it declines with distance between markers and QTLs in a population. Marker–QTL LD can be predicted from LD between markers. Our previous work evaluated LD measures between multi-allelic markers as predictors of usable LD of multi-allelic markers with QTLs. Since single nucleotide polymorphisms (SNPs) are the current marker of choice for high-density genotyping and LD-mapping of QTLs, the object
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Mutalemwa Fabian, Gregory, Ernest Simon Kira, Kim A. Kayunze, and Sotco C. Komba. "TEACHERS‟, PARENTS‟ AND PUPILS‟ PERCEPTIONS ON PARENTS‟ ROLE IN THE LEARNING PROCESS OF THEIR CHILDREN IN PUBLIC PRIMARY SCHOOLS IN BUKOBA DISTRICT COUNCIL, TANZANIA." International Journal of Engineering Applied Sciences and Technology 09, no. 04 (2024): 147–58. http://dx.doi.org/10.33564/ijeast.2024.v09i04.019.

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Parents’ involvement in the learning process of their children is a very crucial ingredient; it is associated with perceptions of not only the teachers, but also of parents and the pupils. These three categories’ perceptions are not empirically well known. The general objective of this paper was to determine relationships between socio-demographic factors of teachers’, parents’ and pupils’ and their perceptions on the roles of parents in the learning process of their children in public primary schools. The specific objectives were to analyse respondents’ socio-demographic factors; compare the
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Wei, Jie. "On Markov Earth Mover's Distance." International Journal of Image and Graphics 14, no. 04 (2014): 1450016. http://dx.doi.org/10.1142/s0219467814500168.

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In statistics, pattern recognition and signal processing, it is of utmost importance to have an effective and efficient distance to measure the similarity between two distributions and sequences. In statistics this is referred to as goodness-of-fit problem. Two leading goodness of fit methods are chi-square and Kolmogorov–Smirnov distances. The strictly localized nature of these two measures hinders their practical utilities in patterns and signals where the sample size is usually small. In view of this problem Rubner and colleagues developed the earth mover's distance (EMD) to allow for cross
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Book chapters on the topic "Chi-square distance measure"

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Anderson, Raymond A. "Stats & Maths & Unicorns." In Credit Intelligence & Modelling. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780192844194.003.0011.

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This chapter covers basic statistical concepts. Most statistics relate to hypothesis testing, and others to variable selection and model fitting. The name is because an exact match between a theoretical and empirical distribution is as rare as a unicorn. (1) Dispersion—measures of random variations—variance and its inflation factor, covariance and correlations {Pearson’s product-moment, Spearman’s rank order}, and the Mahalanobis distance. (2) Goodness-of-fit—do observations match expectations? This applies to both continuous dependent variables {R-squared and adjusted R2} and categorical {Pea
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Conference papers on the topic "Chi-square distance measure"

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Huong, Vu Thi Lan, Dong-Chul Park, Dong-Min Woo, and Yunsik Lee. "Centroid neural network with Chi square distance measure for texture classification." In 2009 International Joint Conference on Neural Networks (IJCNN 2009 - Atlanta). IEEE, 2009. http://dx.doi.org/10.1109/ijcnn.2009.5178865.

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Bhattacharyya, Arnab, Sutanu Gayen, Kuldeep S. Meel, Dimitrios Myrisiotis, A. Pavan, and N. V. Vinodchandran. "On Approximating Total Variation Distance." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/387.

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Total variation distance (TV distance) is a fundamental notion of distance between probability distributions. In this work, we introduce and study the problem of computing the TV distance of two product distributions over the domain {0,1}^n. In particular, we establish the following results. 1. The problem of exactly computing the TV distance of two product distributions is #P-complete. This is in stark contrast with other distance measures such as KL, Chi-square, and Hellinger which tensorize over the marginals leading to efficient algorithms. 2. There is a fully polynomial-time deterministic
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