Relevant bibliographies by topics / Compositional analysis

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Compositional analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Compositional analysis"

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Tahmasebi, Mohammad H., and M. N. Obrovac. "Quantitative Measurement of Compositional Inhomogeneity in NMC Cathodes by X-ray Diffraction." Journal of The Electrochemical Society 170, no. 8 (2023): 080519. http://dx.doi.org/10.1149/1945-7111/acefff.

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A novel XRD analysis technique is described for quantitatively measuring compositional inhomogeneity in Li[NixMnyCoz]O2 (NMC) cathode materials and NMC precursors. Single-phase rock salt precursors with varying degrees of compositional inhomogeneity were prepared by grinding mixtures of Ni, Mn and Co oxides for different times and then heating. These precursors were then heated with lithium to form cathode materials. A modified Williamson-Hall analysis was used to measure the degree of compositional inhomogeneity in the precursors and the final NMC materials. This analysis showed that precurso
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Cheng, H. N. "NMR analysis of compositional heterogeneity in polysaccharides." Pure and Applied Chemistry 89, no. 7 (2017): 877–83. http://dx.doi.org/10.1515/pac-2016-1020.

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AbstractMany copolysaccharides are compositionally heterogeneous, and the composition determined by the usual analytical or spectroscopic methods provides only an average value. For some polysaccharides, the NMR data contain copolymer sequence information, such as diad, triad, and tetrad sequence intensities. In such cases, it is possible to estimate the extent of compositional heterogeneity through NMR. Two general types of methodologies can be used: perturbed Markovian and discrete component approaches. The theoretical bases for these approaches are reviewed in this work, and three examples
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Greenacre, Michael. "Compositional Data Analysis." Annual Review of Statistics and Its Application 8, no. 1 (2021): 271–99. http://dx.doi.org/10.1146/annurev-statistics-042720-124436.

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Compositional data are nonnegative data carrying relative, rather than absolute, information—these are often data with a constant-sum constraint on the sample values, for example, proportions or percentages summing to 1% or 100%, respectively. Ratios between components of a composition are important since they are unaffected by the particular set of components chosen. Logarithms of ratios (logratios) are the fundamental transformation in the ratio approach to compositional data analysis—all data thus need to be strictly positive, so that zero values present a major problem. Components that gro
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Egozcue, Juan José, Vera Pawlowsky-Glahn, and Gregory B. Gloor. "Linear Association in Compositional Data Analysis." Austrian Journal of Statistics 47, no. 1 (2018): 3–31. http://dx.doi.org/10.17713/ajs.v47i1.689.

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With compositional data ordinary covariation indexes, designed for real random variables, fail to describe dependence. There is a need for compositional alternatives to covariance and correlation. Based on the Euclidean structure of the simplex, called Aitchison geometry, compositional association is identied to a linear restriction of the sample space when a log-contrast is constant. In order to simplify interpretation, a sparse and simple version of compositional association is dened in terms of balances which are constant across the sample. It is called b-association. This kind of associati
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Elhaik, Eran, and Dan Graur. "IsoPlotter+: A Tool for Studying the Compositional Architecture of Genomes." ISRN Bioinformatics 2013 (April 18, 2013): 1–6. http://dx.doi.org/10.1155/2013/725434.

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Eukaryotic genomes, particularly animal genomes, have a complex, nonuniform, and nonrandom internal compositional organization. The compositional organization of animal genomes can be described as a mosaic of discrete genomic regions, called “compositional domains,” each with a distinct GC content that significantly differs from those of its upstream and downstream neighboring domains. A typical animal genome consists of a mixture of compositionally homogeneous and nonhomogeneous domains of varying lengths and nucleotide compositions that are interspersed with one another. We have devised IsoP
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Solans, M., G. Coenders, R. Marcos-Gragera, et al. "Compositional analysis of dietary patterns." Statistical Methods in Medical Research 28, no. 9 (2018): 2834–47. http://dx.doi.org/10.1177/0962280218790110.

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Instead of looking at individual nutrients or foods, dietary pattern analysis has emerged as a promising approach to examine the relationship between diet and health outcomes. Despite dietary patterns being compositional (i.e. usually a higher intake of some foods implies that less of other foods are being consumed), compositional data analysis has not yet been applied in this setting. We describe three compositional data analysis approaches (compositional principal component analysis, balances and principal balances) that enable the extraction of dietary patterns by using control subjects fro
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Barcelo-Vidal, Carles, and Josep-Antoni Martín-Fernández. "The Mathematics of Compositional Analysis." Austrian Journal of Statistics 45, no. 4 (2016): 57–71. http://dx.doi.org/10.17713/ajs.v45i4.142.

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The term compositional data analysis is historically associated to the approach based on the logratio transformations introduced in the eighties. Two main principles of this methodology are scale invariance and subcompositional coherence. New developments and concepts emerged in the last decade revealed the need to clarify the concepts of compositions, compositional sample space and subcomposition. In this work the mathematics of compositional analysis based on equivalence relation is presented. The two principles are essential attributes of the corresponding quotient space. A logarithmic isom
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Kouros, Christos E., Vasiliki Makri, Christos A. Ouzounis, and Anastasia Chasapi. "Disease association and comparative genomics of compositional bias in human proteins." F1000Research 12 (April 14, 2023): 198. http://dx.doi.org/10.12688/f1000research.129929.2.

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Background: The evolutionary rate of disordered protein regions varies greatly due to the lack of structural constraints. So far, few studies have investigated the presence/absence patterns of compositional bias, indicative of disorder, across phylogenies in conjunction with human disease. In this study, we report a genome-wide analysis of compositional bias association with disease in human proteins and their taxonomic distribution. Methods: The human genome protein set provided by the Ensembl database was annotated and analysed with respect to both disease associations and the detection of c
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Mert, Mehmet C., Peter Filzmoser, Gottfried Endel, and Ingrid Wilbacher. "Compositional data analysis in epidemiology." Statistical Methods in Medical Research 27, no. 6 (2016): 1878–91. http://dx.doi.org/10.1177/0962280216671536.

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Compositional data analysis refers to analyzing relative information, based on ratios between the variables in a data set. Data from epidemiology are usually treated as absolute information in an analysis. We outline the differences in both approaches for univariate and multivariate statistical analyses, using illustrative data sets from Austrian districts. Not only the results of the analyses can differ, but in particular the interpretation differs. It is demonstrated that the compositional data analysis approach leads to new and interesting insights.
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Barabesi, Lucio, and Pietro Sartorelli. "Compositional data analysis." Occupational and Environmental Medicine 77, no. 5 (2020): 352. http://dx.doi.org/10.1136/oemed-2019-106370.

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Dissertations / Theses on the topic "Compositional analysis"

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Moilanen, Karo. "Compositional entity-level sentiment analysis." Thesis, University of Oxford, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.559817.

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This thesis presents a computational text analysis tool called AFFECTiS (Affect Interpretation/Inference System) which focuses on the task of interpreting natural language text based on its subjective, non-factual, affective properties that go beyond the 'traditional' factual, objective dimensions of meaning that have so far been the main focus of Natural Language Processing and Computational Linguistics. The thesis presents a fully compositional uniform wide-coverage computational model of sentiment in text that builds on a number of fundamental compositional sentiment phenomena and processes
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Elmqvist, Jonas. "Components, Safety Interfaces, and Compositional Analysis." Licentiate thesis, Linköping University, Linköping University, Department of Computer and Information Science, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-57490.

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<p>Component-based software development has emerged as a promising approach for developing complex software systems by composing smaller independently developed components into larger component assemblies. This approach offers means to increase software reuse, achieve higher flexibility and shorter time-to-market by the use of off-the-shelf components (COTS). However, the use of COTS in safety-critical system is highly unexplored.</p><p>This thesis addresses the problems appearing in component-based development of safety-critical systems. We aim at efficient reasoning about safety at system le
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陳志昌 and Chee-cheong Chan. "Compositional data analysis of voting patterns." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1993. http://hub.hku.hk/bib/B31977236.

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Brunsdon, T. M. "Time series analysis of compositional data." Thesis, University of Southampton, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.378257.

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Elmquist, Jonas. "Components, Safety Interfaces, and Compositional Analysis." Licentiate thesis, Linköpings universitet, Institutionen för datavetenskap, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-57490.

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Component-based software development has emerged as a promising approach for developing complex software systems by composing smaller independently developed components into larger component assemblies. This approach offers means to increase software reuse, achieve higher flexibility and shorter time-to-market by the use of off-the-shelf components (COTS). However, the use of COTS in safety-critical system is highly unexplored. This thesis addresses the problems appearing in component-based development of safety-critical systems. We aim at efficient reasoning about safety at system level while
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Abohwo, Olubusola. "Reservoir analysis based on compositional gradients /." May be available electronically:, 2007. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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Chan, Chee-cheong. "Compositional data analysis of voting patterns." [Hong Kong : University of Hong Kong], 1993. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13787160.

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Brockway, Michael J. "A compositional analysis of broadcasting embedded systems." Thesis, Northumbria University, 2010. http://nrl.northumbria.ac.uk/2967/.

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This work takes as its starting point D Kendall's CANdle/bCANdle algebraic framework for formal modelling and specification of broadcasting embedded systems based on CAN networks. Checking real-time properties of such systems is beset by problems of state-space explosion and so a scheme is given for recasting systems specified in Kendall's framework as parallel compositions of timed automata; a CAN network channel is modelled as an automaton. This recasting is shown to be bi-similar to the original bCANdle model. In the recast framework,"compositionality" theorems allow one to infer that a mod
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Eklind, Robin. "Compositional Decompilation using LLVM IR." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-279307.

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Decompilation or reverse compilation is the process of translating low-level machine-readable code into high-level human-readable code. The problem is non-trivial due to the amount of information lost during compilation, but it can be divided into several smaller problems which may be solved independently. This report explores the feasibility of composing a decompilation pipeline from independent components, and the potential of exposing those components to the end-user. The components of the decompilation pipeline are conceptually grouped into three modules. Firstly, the front-end translates
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Kabir, Sohag. "Compositional dependability analysis of dynamic systems with uncertainty." Thesis, University of Hull, 2016. http://hydra.hull.ac.uk/resources/hull:13595.

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Over the past two decades, research has focused on simplifying dependability analysis by looking at how we can synthesise dependability information from system models automatically. This has led to the field of model-based safety assessment (MBSA), which has attracted a significant amount of interest from industry, academia, and government agencies. Different model-based safety analysis methods, such as Hierarchically Performed Hazard Origin & Propagation Studies (HiP-HOPS), are increasingly applied by industry for dependability analysis of safety-critical systems. Such systems may feature mul
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Books on the topic "Compositional analysis"

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Martín-Fernández, Josep Antoni, and Santiago Thió-Henestrosa, eds. Compositional Data Analysis. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44811-4.

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Pawlowsky-Glahn, Vera, and Antonella Buccianti, eds. Compositional Data Analysis. John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781119976462.

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Filzmoser, Peter, Karel Hron, and Matthias Templ. Applied Compositional Data Analysis. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96422-5.

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Earnest, CM, ed. Compositional Analysis by Thermogravimetry. ASTM International, 1988. http://dx.doi.org/10.1520/stp997-eb.

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1941-, Earnest C. M., ASTM Committee E-37 on Thermal Measurements., and Symposium on Compositional Analysis by Thermogravimetry (1987 : Philadelphia, Pa.), eds. Compositional analysis by thermogravimetry. ASTM, 1988.

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Pawlowsky-Glahn, Vera. Modelling and analysis of compositional data. John Wiley & Sons, Inc., 2015.

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Filzmoser, Peter, Karel Hron, Josep Antoni Martín-Fernández, and Javier Palarea-Albaladejo, eds. Advances in Compositional Data Analysis. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71175-7.

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Aitchison, J. The Statistical Analysis of Compositional Data. Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4109-0.

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Pawlowsky-Glahn, Vera, Juan José Egozcue, and Raimon Tolosana-Delgado. Modelling and Analysis of Compositional Data. John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781119003144.

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Geurts, Frédéric. Abstract Compositional Analysis of Iterated Relations. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-49211-9.

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Book chapters on the topic "Compositional analysis"

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Sawamura, Masayoshi, Nguyen Thi Minh-Tu, Simon Muhoho Njoroge, et al. "Compositional Analysis." In Citrus Essential Oils. John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470613160.ch3.

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Crompton, T. R. "Compositional Analysis." In Manual of Plastics Analysis. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4899-1403-3_10.

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Crompton, T. R. "Compositional Analysis." In Manual of Plastics Analysis. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4899-1403-3_4.

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Filzmoser, Peter, and Karel Hron. "Robust Statistical Analysis." In Compositional Data Analysis. John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781119976462.ch5.

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Bacon-Shone, John. "A Short History of Compositional Data Analysis." In Compositional Data Analysis. John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781119976462.ch1.

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Monti, Gianna Serafina, Glòria Mateu-Figueras, and Vera Pawlowsky-Glahn. "Notes on the Scaled Dirichlet Distribution." In Compositional Data Analysis. John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781119976462.ch10.

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Egozcue, Juan José, Carles Barceló-Vidal, Josep Antoni Martín-Fernández, Eusebi Jarauta-Bragulat, José Luis Díaz-Barrero, and Glòria Mateu-Figueras. "Elements of Simplicial Linear Algebra and Geometry." In Compositional Data Analysis. John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781119976462.ch11.

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Egozcue, Juan José, Eusebi Jarauta-Bragulat, and José Luis Díaz-Barrero. "Calculus of Simplex-Valued Functions." In Compositional Data Analysis. John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781119976462.ch12.

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Barceló-Vidal, Carles, Josep Antoni Martín-Fernández, and Glòria Mateu-Figueras. "Compositional Differential Calculus on the Simplex." In Compositional Data Analysis. John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781119976462.ch13.

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Lovell, David, Warren Müller, Jen Taylor, Alec Zwart, and Chris Helliwell. "Proportions, Percentages, PPM: Do the Molecular Biosciences Treat Compositional Data Right?" In Compositional Data Analysis. John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781119976462.ch14.

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Conference papers on the topic "Compositional analysis"

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Ben Salah, Ramzi, Marius Dorel Bozga, and Oded Maler. "Compositional timing analysis." In the seventh ACM international conference. ACM Press, 2009. http://dx.doi.org/10.1145/1629335.1629342.

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Bliudze, Simon. "Compositional timing analysis." In the 1st International Workshop. ACM Press, 2011. http://dx.doi.org/10.1145/2071589.2071593.

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Farzan, Azadeh, and Zachary Kincaid. "Compositional recurrence analysis." In 2015 Formal Methods in Computer-Aided Design (FMCAD). IEEE, 2015. http://dx.doi.org/10.1109/fmcad.2015.7542253.

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Marref, Amine. "Compositional timing analysis." In 2010 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS X). IEEE, 2010. http://dx.doi.org/10.1109/icsamos.2010.5642071.

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Canas, Jesus Alberto, Julian John Pop, Francois Xavier Dubost, and Hani Elshahawi. "Advanced Compositional Gradient Analysis." In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 2008. http://dx.doi.org/10.2118/115429-ms.

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Corbett, James C., and George S. Avrunin. "Towards scalable compositional analysis." In the 2nd ACM SIGSOFT symposium. ACM Press, 1994. http://dx.doi.org/10.1145/193173.195294.

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Kincaid, Zachary, Jason Breck, Ashkan Forouhi Boroujeni, and Thomas Reps. "Compositional recurrence analysis revisited." In PLDI '17: ACM SIGPLAN Conference on Programming Language Design and Implementation. ACM, 2017. http://dx.doi.org/10.1145/3062341.3062373.

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Godefroid, Patrice, Aditya V. Nori, Sriram K. Rajamani, and Sai Deep Tetali. "Compositional may-must program analysis." In the 37th annual ACM SIGPLAN-SIGACT symposium. ACM Press, 2010. http://dx.doi.org/10.1145/1706299.1706307.

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Joshi, Keyur, Rahul Singh, Tommaso Bassetto, Sarita Adve, Darko Marinov, and Sasa Misailovic. "FastFlip: Compositional SDC Resiliency Analysis." In CGO '25: 23rd ACM/IEEE International Symposium on Code Generation and Optimization. ACM, 2025. https://doi.org/10.1145/3696443.3708938.

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Distefano, Dino, Matteo Marescotti, Cons Ahs, et al. "Enhancing Compositional Static Analysis with Dynamic Analysis." In ASE '24: 39th IEEE/ACM International Conference on Automated Software Engineering. ACM, 2024. http://dx.doi.org/10.1145/3691620.3695599.

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Reports on the topic "Compositional analysis"

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Stutzman, Paul E., and Lilia Centeno. Compositional analysis of beneficiated fly ashes. National Institute of Standards and Technology, 1995. http://dx.doi.org/10.6028/nist.ir.5598.

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Workman, J. H. Compositional and Structural Analysis of Air Force Materials. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada267188.

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Zhao, J., M. Burke, and V. Sarkar. Rice ROSE Compositional Analysis and Transformation Framework (R2CAT). Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1053664.

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Snyder, A. D., and J. H. Workman. Compositional and Structural Analysis of Air Force Materials. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada150992.

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Smolka, Scott A. Compositional Analysis of Expected Delay in Networks of Automata. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada387345.

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Grunsky, E. C., and D. Corrigan. Practical aspects of compositional data analysis using regional geochemical survey data. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2015. http://dx.doi.org/10.4095/295694.

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Beavers. L51541 Identification of Injected Storage Gas. Pipeline Research Council International, Inc. (PRCI), 1987. http://dx.doi.org/10.55274/r0010513.

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Gives the results of an investigation to develop procedures to differentiate between migrating storage gas and native gas. Considers several technologies with specific emphasis on tracers and compositional analysis. Includes floppy disk regression and factor analysis program intended to permit demonstration of the presence of storage gas in mixtures when native gas composition is unknown.
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Scammell, R. J., R. G. Berman, G. J. Pringle, and J. A. R. Stirling. Automated microprobe analysis of compositional zoning and heterogeneity in thin section: a facility for making high-resolution compositional maps at the Geological Survey of Canada. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1995. http://dx.doi.org/10.4095/205212.

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Montgomery, Stephen Tedford, Sung K. Ahn, and Moo Yul Lee. Statistical analysis of compositional factors affecting the compressive strength of alumina-loaded epoxy (ALOX). Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/877740.

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Thomas, Lisa, Christopher Calvo, Jolie Gareis, Lisa Thomas, Christopher Calvo, and Jolie Gareis. Semi-arid plant communities of the Southern Colorado Plateau in relation to regional climate context and local topoedaphic conditions: Comparing species abundance patterns across a network of sites to identify climate-driven vulnerabilities and inform hypotheses about future composition shifts. National Park Service, 2024. https://doi.org/10.36967/2306569.

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With climate projections for increased warming and greater drought severity, the semi-arid grasslands, shrublands and pinyon-juniper woodlands occurring at lower elevations on the Colorado Plateau are likely to change in coming decades. Using shrub and herbaceous data from seven long-term study areas, I describe across-ecosite compositional gradients within the current regional climate context and compare spatial variability among assemblages. At the local scale, I model the relationship between composition and topoedaphic conditions. I use these results to develop hypotheses regarding the typ
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