Academic literature on the topic 'Statis method'
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Journal articles on the topic "Statis method"
Lavit, Christine, Yves Escoufier, Robert Sabatier, and Pierre Traissac. "The ACT (STATIS method)." Computational Statistics & Data Analysis 18, no. 1 (August 1994): 97–119. http://dx.doi.org/10.1016/0167-9473(94)90134-1.
Full textFilho, D. Marcondes, F. S. Fogliatto, and L. P. L. de Oliveira. "Monitoring Nonlinear Batch Process Using Statis-Based Method." Applied Mechanics and Materials 518 (February 2014): 350–55. http://dx.doi.org/10.4028/www.scientific.net/amm.518.350.
Full textSarkono, Sarkono, Sukarti Moeljopawiro, Bambang Setiaji, and Langkah Sembiring. "SIFAT FISIKOKIMIAWI SELULOSA PRODUKSI ISOLAT BAKTERI Gluconacetobacter xylinus KRE-65 PADA METODE FERMENTASI BERBEDA (Physicochemical Properties of Cellulose Produced by Bacterial Isolate Gluconacetobacter xylinus KRE-65 in Different Fermentation Methods)." Jurnal Agritech 35, no. 04 (November 25, 2015): 434. http://dx.doi.org/10.22146/agritech.9327.
Full textRodríguez-Martínez, Carmen C., Mitzi Cubilla-Montilla, Purificación Vicente-Galindo, and Purificación Galindo-Villardón. "Sparse STATIS-Dual via Elastic Net." Mathematics 9, no. 17 (August 30, 2021): 2094. http://dx.doi.org/10.3390/math9172094.
Full textBénasséni, Jacques, and Mohammed Bennani Dosse. "Analyzing multiset data by the Power STATIS-ACT method." Advances in Data Analysis and Classification 6, no. 1 (February 27, 2011): 49–65. http://dx.doi.org/10.1007/s11634-011-0085-8.
Full textChaya, C., C. Perez-Hugalde, L. Judez, C. S. Wee, and J. X. Guinard. "Use of the STATIS method to analyze time-intensity profiling data." Food Quality and Preference 15, no. 1 (January 2004): 3–12. http://dx.doi.org/10.1016/s0950-3293(02)00219-7.
Full textCoquet, R., L. Troxler, and G. Wipff. "The STATIS method: Characterization of conformational states of flexible molecules from molecular dynamics simulations in solution." Journal of Molecular Graphics 14, no. 4 (August 1996): 206–12. http://dx.doi.org/10.1016/s0263-7855(96)00064-1.
Full textSabatier, Robert, and Myrtille Vivien. "A new linear method for analyzing four-way multiblock tables: STATIS-4." Journal of Chemometrics 22, no. 6 (2008): 399–407. http://dx.doi.org/10.1002/cem.1150.
Full textStanimirova, I., B. Walczak, D. L. Massart, V. Simeonov, C. A. Saby, and E. Di Crescenzo. "STATIS, a three-way method for data analysis. Application to environmental data." Chemometrics and Intelligent Laboratory Systems 73, no. 2 (October 2004): 219–33. http://dx.doi.org/10.1016/j.chemolab.2004.03.005.
Full textDyah, Atika Isnaining, Supriyono Koes H, and Hari Wisodo. "Bagaimana Penguasaan Konsep Siswa pada Materi Fluida Statis?" Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan 4, no. 8 (August 30, 2019): 1030. http://dx.doi.org/10.17977/jptpp.v4i8.12664.
Full textDissertations / Theses on the topic "Statis method"
Marcondes, Filho Danilo. "Cartas de controle multivariadas baseadas no método Kernel-Statis para monitoramento de processos em bateladas." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2009. http://hdl.handle.net/10183/17158.
Full textIndustrial batch processes are widely used in the production of some items. Such processes provide a peculiar data structure; therefore, there is a growing interest in the development of customized multivariate control charts for their monitoring. We investigate a recent approach that uses control charts based on the Statis method. Statis is an exploratory technique for measuring similarities between data matrices. However, the technique only assesses similarities in a linear context, i.e. investigating structures of linear correlation in the data. In this thesis we propose control charts based on the Statis method in conjunction with a kernel for monitoring processes in the presence of strong non-linearities. Through the kernels we define non-linear functions of data for better representing the structure to be characterized by the Statis method. The new approach, named Kernel-Statis, is developed and illustrated using simulated data.
Meyners, Michael. "Statistische Eigenschaften der STATIS-Methode." Rennes 2, 2002. http://www.theses.fr/2002REN20062.
Full text@To analyse sensory profiling data, usually Generalized Procrustes Analysis (GPA) or STATIS are used. Meyners et al. (2000) compare these two methods by means of simulations, which showed the advantage of GPA. Therefore we propose the use of a corrected version of STATIS method. In our model we assume that the errors have zero mean and that they are independent between assessors. Under these assumptions, the STATIS consensus is the sum of the theoretical consensus and a positive definit matrix, which depends on both the random errors and the scaling factors. Since this matrix is positive definit, we obtain a consensus with too many dimensions. We considerr different additional assumptions and compare the estimators of both methods. It is shown that the proposed correction of STATIS methods in a more reasonable consensus, e. G. By means of the distance between the true and the estimated whenever the number of judges or products converges to infinity. In practical applications, both the error matrices and the scaling factors are unknown. Because of this we propose to estimate those. We compare this method with GPA and STATIS by means of simulations. The results of each method are compared to the well-known true consensus from which the data has been simulated. It can be found that in most cases the corrected version gives better results than both STATIS and GPA. Finally we consider the differences between the results with respect to the interpretation of the outcomes by means of a graphical comparison. From this, it can be stated that the estimated consensuses are quite similar and we conclude that the estimators are more or less equivalent for interpretation purposes
Lei, Jun. "Static structural system identification using observability method." Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/650829.
Full textDurante las etapas de construcción y operación de las estructuras, varios factores conducen a una degradación irreversible que podría afectar el uso normal y la seguridad pública de estas estructuras. En los últimos años, ha sido común llevar a cabo la evaluación de las condiciones de las estructuras utilizando métodos de Identificación del Sistema Estructural (SSI). SSI es la aplicación de la estimación de parámetros en el sistema estructural. Un aspecto clave en SSI es garantizar la observabilidad de los parámetros a estimar. Esto ya fue abordado por el SSI mediante el Método de Observabilidad (OM) utilizando pruebas estáticas. Sin embargo, falta un análisis sistemático del efecto de los errores de medición y simulación para este método. Una ramificación de este análisis son las estrategias efectivas para usar mediciones redundantes para abordar los errores de medición. Mientras tanto, la linealización de incógnitas en el SSI por OM podría llevar a la omisión de incógnitas observables. Esta tesis doctoral presenta un método SSI unificado en el marco de OM para estructuras 2D modeladas por elementos de haz. El método se basa en la información (cargas externas, deflexiones medidas y rotaciones) obtenida durante las pruebas estáticas. Este trabajo reúne seis contribuciones metodológicas concebidas para (1) extraer tanta información como sea posible de las mediciones para garantizar la observabilidad de los parámetros objetivo; (2) analizar el efecto de errores de medición y errores de simulación en los resultados de la estimación; (3) proponer diferentes estrategias para usar medidas redundantes para mejorar la precisión de la estimación; (4) coloque los sensores en una configuración óptima para obtener estimaciones robustas para los parámetros objetivo. En primer lugar, el procedimiento de SSI por OM se presenta y valida mediante mediciones sin errores en una estructura similar a un haz. A continuación, se analizan los efectos de los errores de medición y simulación sobre la precisión del resultado de la estimación para los conjuntos mínimos de medición que garantizan la observabilidad de todos los parámetros. Los factores estudiados incluyen errores de medición únicos, errores de medición aleatoria, niveles de error y casos de carga. También se discute la influencia del proceso recursivo de SSI por OM. Para resolver el problema de juzgar erróneamente los conjuntos mínimos de medición causados por la suposición lineal en el SSI por OM, se propone el SSI por OM restringido. Las restricciones no lineales son reintroducidas por optimizaciones después de la finalización del método cuando sea necesario. El método es validado por una viga simplemente compatible y un marco de gran altura. Debido a los resultados SSI insatisfactorios del SSI por OM que utilizan conjuntos mínimos, se proponen tres formas de utilizar medidas redundantes. El SSI por OM compatible reduce la incompatibilidad debida a errores de medición al imponer las condiciones de compatibilidad en estructuras similares a vigas. En el segundo método, la ventaja teórica de usar rotaciones en SSI se justifica mediante un análisis estadístico que utiliza la expresión analítica de los parámetros objetivo y la teoría de distribución inversa. Luego, se proponen y se comparan cuatro estrategias para usar rotaciones redundantes. Se propone el método de promediado modelo utilizando solo rotaciones. Como el SSI por el OM compatible y el método de promediado del modelo están sujetos al límite del tipo de estructura o tipo de medida, se propone el SSI mediante OM de minimización de errores de medición (MEMOM). En este método, los términos de error de medición se separan de la matriz de coeficientes de las ecuaciones de observabilidad y las estimaciones se obtienen al minimizar la suma cuadrada de las relaciones entre los términos de error y las mediciones. El rendimiento del método se investiga con respecto a factores que incluyen casos de carga, parametrización, tipos de medición y tipos de restricciones. El problema de la ubicación óptima del sensor para SSI estático se aborda en esta tesis y se formula como la maximización del determinante de la matriz de información de Fisher (FIM) mediante el uso de algoritmo genético. Mientras tanto, la identificabilidad de los parámetros estructurales se evalúa de acuerdo con los elementos diagonales de la FIM inversa.
Al-Moulani, Ali J. "Banking sector depth & long-term economic growth in the GCC States : relationship nature, sector development status & policy implications." Thesis, Cranfield University, 2016. http://dspace.lib.cranfield.ac.uk/handle/1826/10492.
Full textDachtyl, Cary. "The status of snare drum instruction in percussion methods programs of selected universities and colleges in Ohio and contiguous states /." Connect to resource, 1992. http://rave.ohiolink.edu/etdc/view.cgi?acc%5Fnum=osu1243363966.
Full textGibbs, Larry. "Contraception Biographies: Women's Contraceptive Method Switching and Union Status." Bowling Green State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1404313178.
Full textHaber, René. "Numerical methods for density of states calculations." Master's thesis, Universitätsbibliothek Chemnitz, 2008. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-200801991.
Full textHaber, René. "Numerical methods for density of states calculations." [S.l. : s.n.], 2008.
Find full textPasha, Hasan G. "Estimation of Static Stiffnesses from Free Boundary Dynamic (FRF) Measurements." University of Cincinnati / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1416569956.
Full textPahlavan, Mehdi. "The new immigrant| A comparison of the factors contributing to upper class status among non-Hispanic groups in the United States." Thesis, Howard University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3629340.
Full textHistorically, the majority of immigrants to the United States came from European countries. The 1965 Immigration Reform Act (IRA) fundamentally changed the configuration of immigrants to the United States. The largest immigrant communities now consist of Latin Americans, Asians, and Africans. Another important development in immigrant communities in the past few decades has been the growth of a disproportionately large upper class in non-Hispanic immigrant communities. In this study, I will investigate the determinants of upper class status with a focus on non-Hispanic immigrants in the United States.
I have used a theoretical framework consisting of a wide spectrum of social theories. The theoretical framework encompasses Demographic and Structural Factors, Assimilation Theory, Weberian Theory, Elite Theories, and Marxian Theory. From this wide spectrum of theories, I have developed a set of fifteen exogenous variables including key socio-demographic variables, metropolitan area, region, the number of hours worked, immigration from an English speaking country, citizenship status, the length of stay in the United States, occupational status, occupational prestige, educational attainment, private schooling, and employment status. Consequently, I have analyzed the influence of these variables on upper class status attainment among non-Hispanic immigrants in the United States.
The current study has utilized secondary data analysis from the 2010 American Community Survey (ACS). Bivariate and multivariate regression analyses were used to examine the relationship among study variables. More specifically, by conducting block analysis, the result of the regression analysis spelled out the degree of influence of each theoretical perspective on the dependent variable, upper class status attainment.
The results of this study have revealed that Structural and Demographic factors make up the largest share of influence on upper class status attainment among non-Hispanic immigrants in the United States. The most influential variables emerged as “hours worked” (β = 0.211) from the Demographic and Structural Factors block, “educational attainment” (β = 0.174) from elite theory, and “Marital Status” (β = 0.119) from the Demographic and Structural Factors block respectively.
Books on the topic "Statis method"
I͡A, Kint͡sis T., ed. Static test methods for composites. New York, N.Y: Van Nostrand Reinhold Co., 1985.
Find full textCox, Mike. Static corrections for seismic reflection surveys. Tulsa, Okla: Society of Exploration Geophysicists, 1999.
Find full textFerré, Nicolas, Michael Filatov, and Miquel Huix-Rotllant, eds. Density-Functional Methods for Excited States. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-22081-9.
Full textLopsided schools: Case method briefings. Lanham: Rowman & Littlefield Education, 2010.
Find full textOñate, Eugenio. Structural Analysis with the Finite Element Method Linear Statics. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-1-4020-8743-1.
Full textservice), SpringerLink (Online, ed. Structural Analysis with the Finite Element Method: Linear Statics. Dordrecht: Springer Netherlands, 2009.
Find full textGaul, Lothar. Methode der Randelemente in Statik und Dynamik. Berlin: Springer Vieweg, 2013.
Find full textGaul, Lothar, and Christian Fiedler. Methode der Randelemente in Statik und Dynamik. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-8348-2537-7.
Full textGaul, Lothar, and Christian Fiedler. Methode und Berechnung in Statik und Dynamik. Wiesbaden: Vieweg+Teubner Verlag, 1997. http://dx.doi.org/10.1007/978-3-663-08000-8.
Full textBook chapters on the topic "Statis method"
Gang MA and Hongwei Wang. "Static Analysis Method." In Encyclopedia of Ocean Engineering, 1–4. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-10-6963-5_154-1.
Full textGötze, Uwe, Deryl Northcott, and Peter Schuster. "Static Methods." In Springer Texts in Business and Economics, 29–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-45851-8_2.
Full textThakur, Aditya, and Thomas Reps. "A Generalization of Stålmarck’s Method." In Static Analysis, 334–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33125-1_23.
Full textKrenk, Steen, and Jan Høgsberg. "The Force Method." In Statics and Mechanics of Structures, 227–65. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6113-1_6.
Full textSinha, Sanjib. "Routing, a Static Method." In Beginning Laravel, 21–28. Berkeley, CA: Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-2538-7_4.
Full textKrishans, Zigurds, Anna Mutule, Yuri Merkuryev, and Irina Oleinikova. "Optimal Initial States Method." In Dynamic Management of Sustainable Development, 45–56. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-062-5_5.
Full textAlbarghouthi, Aws. "Fairness: A Formal-Methods Perspective." In Static Analysis, 1–4. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99725-4_1.
Full textReichert, Isabella. "Daten, Modell und Methode." In Der Status-Effekt, 155–70. Wiesbaden: Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-15692-3_6.
Full textStefan, Hermann, and Jürgen Bauer. "Diagnostische Untersuchungs-Methoden." In Status epilepticus, 20–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-76027-3_4.
Full textÖchsner, Andreas. "Finite Element Method." In A Project-Based Introduction to Computational Statics, 95–238. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58771-0_3.
Full textConference papers on the topic "Statis method"
Hua, Wei, and Bo Liu. "Influence of the Pitch Static Torque of the Suspension on the Multiple Flying States of the Air Bearing Sliders." In World Tribology Congress III. ASMEDC, 2005. http://dx.doi.org/10.1115/wtc2005-64391.
Full textElliott, S. R., A. Haar, R. D. Oeffner, and S. N. Taraskin. "Extracting the vibrational density of states from neutron scattering data: beyond the effective density of states." In Neutrons and numerical methods. AIP, 1999. http://dx.doi.org/10.1063/1.59461.
Full textPotencki, Jerzy, and Mariusz Skoczylas. "Method and laboratory set-up for testing of RFID systems in static and dynamic states." In 2017 21st European Microelectronics and Packaging Conference (EMPC) & Exhibition. IEEE, 2017. http://dx.doi.org/10.23919/empc.2017.8346914.
Full textBerceanu, S., Piotr Kielanowski, Anatol Odzijewicz, Martin Schlichenmaier, and Theodore Voronov. "Generalized squeezed states for the Jacobi group." In GEOMETRIC METHODS IN PHYSICS. AIP, 2008. http://dx.doi.org/10.1063/1.3043874.
Full textMahdifar, A., R. Roknizadeh, M. H. Naderi, Piotr Kielanowski, Anatol Odzijewicz, Martin Schlichenmeier, and Theodore Voronov. "Geometric Nonlinear Coherent States." In XXVI INTERNATIONAL WORKSHOP ON GEOMETRICAL METHODS IN PHYSICS. AIP, 2007. http://dx.doi.org/10.1063/1.2820974.
Full textYarza, Irune, Mikel Azkarate-askatsua, Peio Onaindia, Philipp Ittershagen, Kim Grüttner, and Wolfgang Nebel. "Static/dynamic real-time legacy software migration." In RAPIDO '20: Methods and Tools. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3375246.3375257.
Full textEL GRADECHI, A. M., V. HUSSIN, and L. M. NIETO. "SUPERSYMMETRY AND COHERENT STATES." In Proceedings of XI Workshop on Geometric Methods in Physics. WORLD SCIENTIFIC, 1993. http://dx.doi.org/10.1142/9789814440844_0023.
Full textPircher, Michael. "Current Status on Adaptive Optics for Retinal Imaging." In Adaptive Optics: Analysis, Methods & Systems. Washington, D.C.: OSA, 2016. http://dx.doi.org/10.1364/aoms.2016.aom3c.2.
Full textRahayu, Syarifah Bahiyah, and Shahrul Azman Noah. "Annotated document: Scoring and ranking method." In 2011 International Conference on Semantic Technology and Information Retrieval (STAIR). IEEE, 2011. http://dx.doi.org/10.1109/stair.2011.5995783.
Full textANTOINE, J. P. "COHERENT STATES: A GENERAL FORMALISM." In Proceedings of XI Workshop on Geometric Methods in Physics. WORLD SCIENTIFIC, 1993. http://dx.doi.org/10.1142/9789814440844_0014.
Full textReports on the topic "Statis method"
Prince, Zachary M., Jean C. Ragusa, and Yaqi Wang. Improved Quasi-Static Method: IQS Method Implementation for CFEM Diffusion in Rattlesnake. Office of Scientific and Technical Information (OSTI), February 2016. http://dx.doi.org/10.2172/1261241.
Full textGehin, Jess C. A quasi-static polynomial nodal method for nuclear reactor analysis. Office of Scientific and Technical Information (OSTI), September 1992. http://dx.doi.org/10.2172/10102801.
Full textBrunett, Acacia J., Laural L. Briggs, and Thomas H. Fanning. Status of SFR Codes and Methods QA Implementation. Office of Scientific and Technical Information (OSTI), January 2017. http://dx.doi.org/10.2172/1342175.
Full textRegan, Colleen, Mary A. Lapham, Eileen Wrubel, Stephen Beck, and Michael Bandor. Agile Methods in Air Force Sustainment: Status and Outlook. Fort Belvoir, VA: Defense Technical Information Center, July 2014. http://dx.doi.org/10.21236/ada614214.
Full textVladimirsky, Alexander Boris. Fast methods for static Hamilton-Jacobi Partial Differential Equations. Office of Scientific and Technical Information (OSTI), January 2001. http://dx.doi.org/10.2172/827572.
Full textFink, Jr., P. New computational methods for determining antikaon-nucleus bound states. Office of Scientific and Technical Information (OSTI), May 1989. http://dx.doi.org/10.2172/5666208.
Full textWatkins, Jerry. Current Status of Discontinuous Galerkin (DG) methods in SPARC. Office of Scientific and Technical Information (OSTI), September 2019. http://dx.doi.org/10.2172/1564038.
Full textGwaltney, Steven R., and Rodney J. Bartlett. Extensions of the Equation-of-Motion Coupled Cluster Method for Excited States. Fort Belvoir, VA: Defense Technical Information Center, May 1998. http://dx.doi.org/10.21236/ada353734.
Full textPiketty, Thomas, Emmanuel Saez, and Gabriel Zucman. Distributional National Accounts: Methods and Estimates for the United States. Cambridge, MA: National Bureau of Economic Research, December 2016. http://dx.doi.org/10.3386/w22945.
Full textKyllönen, Katriina, Karri Saarnio, Ulla Makkonen, and Heidi Hellén. Verification of the validity of air quality measurements related to the Directive 2004/107/EC in 2019-2020 (DIRME2019). Finnish Meteorological Institute, 2020. http://dx.doi.org/10.35614/isbn.9789523361256.
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