Relevant bibliographies by topics / Matrices. Autocorrelation (Statistics)

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Matrices. Autocorrelation (Statistics)'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Matrices. Autocorrelation (Statistics)"

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Willink, Tricia J. "Limits on Estimating Autocorrelation Matrices from Mobile MIMO Measurements." International Journal of Antennas and Propagation 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/345908.

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On mobile radio links, data samples collected at successive time intervals and at closely spaced frequencies are correlated, so long data records are required to acquire sufficient independent samples for analysis. Statistical analysis of long data records is not reliable because the channel statistics remain wide-sense stationary only over short distances. This is a particular concern for MIMO systems when full autocorrelation matrices may be required for channel modelling or characterisation. MIMO channel responses from mobile measurements in an urban microcell have been used to investigate
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Can, Ayse. "Weight matrices and spatial autocorrelation statistics using a topological vector data model." International journal of geographical information systems 10, no. 8 (1996): 1009–17. http://dx.doi.org/10.1080/02693799608902122.

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McKeown, Sean P., and William D. Johnson. "Testing for Autocorrelation and Equality of Covariance Matrices." Biometrics 52, no. 3 (1996): 1087. http://dx.doi.org/10.2307/2533070.

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Rodrigues, António Manuel, and José António Tenedório. "Sensitivity Analysis of Spatial Autocorrelation Using Distinct Geometrical Settings." International Journal of Agricultural and Environmental Information Systems 7, no. 1 (2016): 65–77. http://dx.doi.org/10.4018/ijaeis.2016010105.

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Inferences based on spatial analysis of areal data depend greatly on the method used to quantify the degree of proximity between spatial units - regions. These proximity measures are normally organized in the form of weights matrices, which are used to obtain statistics that take into account neighbourhood relations between agents. In any scientific field where the focus is on human behaviour, areal datasets are greatly relevant since this is the most common form of data collection (normally as count data). The method or schema used to divide a continuous spatial surface into sets of discrete
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Lebacher, Michael, Paul W. Thurner, and Göran Kauermann. "Exploring dependence structures in the international arms trade network: A network autocorrelation approach." Statistical Modelling 20, no. 2 (2019): 195–218. http://dx.doi.org/10.1177/1471082x18817673.

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In this article, we analyse dependence structures among international trade flows of major conventional weapons from 1952 to 2016. We employ a Network Disturbance Model commonly used in inferential network analysis and spatial econometrics. The dependence structure is represented by pre-defined weight matrices that allow for correlating flows from the network of international arms exchange. Three dependence structures are proposed, representing sender-, receiver- and sender–receiver-related dependencies. The appropriateness of the presumed structures is comparatively assessed using the Akaike
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Koukouvinos, Christos, and Jennifer Seberry. "New weighing matrices and orthogonal designs constructed using two sequences with zero autocorrelation function – a review." Journal of Statistical Planning and Inference 81, no. 1 (1999): 153–82. http://dx.doi.org/10.1016/s0378-3758(99)00006-3.

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Javed, Shazia, and Noor Atinah Ahmad. "Optimal preconditioned regularization of least mean squares algorithm for robust online learning1." Journal of Intelligent & Fuzzy Systems 39, no. 3 (2020): 3375–85. http://dx.doi.org/10.3233/jifs-191728.

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Despite its low computational cost, and steady state behavior, some well known drawbacks of the least means squares (LMS) algorithm are: slow rate of convergence and unstable behaviour for ill conditioned autocorrelation matrices of input signals. Several modified algorithms have been presented with better convergence speed, however most of these algorithms are expensive in terms of computational cost and time, and sometimes deviate from optimal Wiener solution that results in a biased solution of online estimation problem. In this paper, the inverse Cholesky factor of the input autocorrelatio
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Pigliucci, Massimo, and Guido Barbujani. "Geographical patterns of gene frequencies in Italian populations of Ornithogalum montanum (Liliaceae)." Genetical Research 58, no. 2 (1991): 95–104. http://dx.doi.org/10.1017/s0016672300029736.

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SummaryGeographic variation was studied at 15 electrophoretic loci (40 alleles) in Italian populations of Ornithogalum montanum Cyr. ex Ten. (Liliaceae). Homogeneity of allele frequencies was assessed by G tests; gene-frequency patterns were described by spatial autocorrelation statistics; matrices of genetic and environmental distance were compared through a series of Mantel's tests, and the zones of highest overall gene-frequency change per unit distance (steep multi-locus clines, or genetic boundaries) were identified. Nineteen allele frequencies appear heterogeneously distributed, but only
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Dittrich, Dino, Roger Th A. J. Leenders, and Joris Mulder. "Network Autocorrelation Modeling: Bayesian Techniques for Estimating and Testing Multiple Network Autocorrelations." Sociological Methodology 50, no. 1 (2020): 168–214. http://dx.doi.org/10.1177/0081175020913899.

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The network autocorrelation model has been the workhorse for estimating and testing the strength of theories of social influence in a network. In many network studies, different types of social influence are present simultaneously and can be modeled using various connectivity matrices. Often, researchers have expectations about the order of strength of these different influence mechanisms. However, currently available methods cannot be applied to test a specific order of social influence in a network. In this article, the authors first present flexible Bayesian techniques for estimating networ
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Daniels, M. J., and M. Pourahmadi. "Modeling covariance matrices via partial autocorrelations." Journal of Multivariate Analysis 100, no. 10 (2009): 2352–63. http://dx.doi.org/10.1016/j.jmva.2009.04.015.

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Dissertations / Theses on the topic "Matrices. Autocorrelation (Statistics)"

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馮振業 and Chun-ip Fung. "On arrays with small autocorrelation." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1991. http://hub.hku.hk/bib/B31210272.

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Fung, Chun-ip. "On arrays with small autocorrelation /." [Hong Kong] : University of Hong Kong, 1991. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13136665.

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Ursu, Eugen. "Contributions dans l'analyse des modèles vectoriels de séries chronologiques saisonnières et périodiques." Thèse, 2009. http://hdl.handle.net/1866/6539.

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Book chapters on the topic "Matrices. Autocorrelation (Statistics)"

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Arnold, Christopher G., and Richard P. Appelbaum. "The Use of GIS to Measure Spatial Patterns of Ethnic Firms in the Los Angeles Garment Industry." In Anthropology, Space, and Geographic Information Systems. Oxford University Press, 1996. http://dx.doi.org/10.1093/oso/9780195085754.003.0006.

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The purpose of this chapter is to describe the methodology and present some initial results in our efforts to understand the role of spatial organization in ethnic economies of the Los Angeles garment industry. Our research goal was to provide a spatial dimension to our database in order to test theories maintaining that space is a critical component of economic transactions. To this end, we created analytical grids of various resolutions using three GIS functions: address matching, polygon generation, and identity overlay. The grids were then transformed into matrices and tested for spatial autocorrelations using Statistical Analysis System (SAS) routines proposed by Griffith (1992). The following section presents brief arguments for the importance of space from the perspectives of industrial district and ethnic economy theories. The third section describes the research site and data sources. The fourth section outlines the analytical concerns of spatial autocorrelation and the modifiable areal unit problem (MAUP), which leads to a discussion of the relevant GIS operations in the fifth section. The sixth section presents spatial autocorrelation measures that show a direct relationship between spatial concentration and economic success in the Los Angeles garment district. The concluding section summarizes the importance of GIS as an analytical tool. Both industrial district and ethnic economy perspectives are based on assumptions about the importance of space. Business economists and geographers show that arrangements within spatially concentrated, tightly integrated industrial districts are critical to globally competitive industries, rapid information flow, lowered transaction costs, and increased control over production, permitting quick and flexible responses to changing market demands (Scott and Mattingly 1989; Piore and Sable 1884; Storper and Walker 1992; Storper and Christopherson 1987). In particular, Porter (1990)—a Harvard Business School economist and member of former President Reagan’s Council on Competitiveness— emphasizes that geographic concentration increases local competition as well as fostering such “emotional factors” as trust, pride, and bragging rights. Spatial concentration, while less prominent in discussions of ethnic economies, remains an underlying factor in providing a venue for the exchange of cultural capital.
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Conference papers on the topic "Matrices. Autocorrelation (Statistics)"

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Stadlmair, Nicolai V., Payam Mohammadzadeh Keleshtery, Max Zahn, and Thomas Sattelmayer. "Impact of Water Injection on Thermoacoustic Modes in a Lean Premixed Combustor Under Atmospheric Conditions." In ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/gt2017-63342.

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The goal of the study presented in this paper is to analyze how the stability margin of a premixed combustor changes when liquid water is injected. Within the scope of this work, experimental results are presented and serve as a validation basis for a numerical model of the combustor. Experiments comprise qualitative as well as quantitative analyses by means of damping rate measurements under varying water-to-fuel ratios. For this purpose, a natural gas fueled low-NOX burner which is equipped with a coaxially placed water injection system is operated in a single burner test rig under atmospher
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