Academic literature on the topic 'Bivariat'
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Journal articles on the topic "Bivariat"
Kurniawan, Untung. "MODEL REGRESI POISON BIVARIAT DENGAN KOVARIAN KONSTAN." MEDIA STATISTIKA 11, no. 1 (September 29, 2018): 27–38. http://dx.doi.org/10.14710/medstat.11.1.27-38.
Full textIrtakhoiri, Jadid, Suyono Suyono, and Vera Maya Santi. "Analisis Distribusi Gamma Bivariat." Jurnal Statistika dan Aplikasinya 2, no. 1 (September 6, 2018): 30–36. http://dx.doi.org/10.21009/jsa.02104.
Full textRinadi, Geraldus Anggoro, Leopoldus Ricky Sasongko, and Bambang Susanto. "Regresi Median Pada Copula Bivariat." JTAM | Jurnal Teori dan Aplikasi Matematika 3, no. 1 (April 1, 2019): 07. http://dx.doi.org/10.31764/jtam.v3i1.728.
Full textFitriawati, Andi, Dani Al Mahkya, Radot MH Siahaan, and Dian Anggraini. "PEMODELAN KEBERGANTUNGAN DALAM MENGKONSTRUKSI DISTRIBUSI BIVARIAT COPULA FRANK PADA DATA MARGINAL DISKRIT MELALUI TRANSFORMASI NORMAL STANDAR DAN JITTERS." VARIANCE: Journal of Statistics and Its Applications 2, no. 1 (June 30, 2020): 1–13. http://dx.doi.org/10.30598/variancevol2iss1page1-13.
Full textANISAH YUNARDI, DHIYA, MAIYASTRI MAIYASTRI, and HAZMIRA YOZZA. "PEMODELAN PENDERITA STROKE DAN DIABETES MELITUS DI KOTA PADANG DENGAN MODEL REGRESI LOGISTIK BINER BIVARIAT." Jurnal Matematika UNAND 9, no. 4 (February 18, 2021): 270. http://dx.doi.org/10.25077/jmu.9.4.270-277.2020.
Full textRizka Amalia, Suyono, and Fariani Hermin Indiyah. "Kontruksi dan Karakteristik Distribusi Invers Weibull Diskrit Bivariat." Jurnal Statistika dan Aplikasinya 3, no. 2 (December 30, 2019): 1–5. http://dx.doi.org/10.21009/jsa.03201.
Full textSilitonga, Junita Maratur, and Retno Winarti. "HUBUNGAN KOMUNIKASI KEPALA RUANGAN TERHADAP MOTIVASI KERJA DAN KINERJA PERAWAT PELAKSANA DI RUMAH SAKIT HERMINA JATINEGARA 2018." JURNAL ILMIAH KEPERAWATAN ALTRUISTIK 2, no. 1 (April 29, 2019): 22–27. http://dx.doi.org/10.48079/vol2.iss1.26.
Full textSulistya, Heru, and Rinduan Zain. "Hubungan Pengelolaan Sarana dan Prasarana Berbasis IT Terhadap Peningkatan Produktivitas Kerja Pegawai (Studi Kasus di Kementerian Agama Kabupaten Kulon Progo)." Journal EVALUASI 4, no. 2 (September 4, 2020): 289. http://dx.doi.org/10.32478/evaluasi.v4i2.478.
Full textRohman, Nur, Tundjung Mahatma, and Leopoldus Ricky Sasongko. "Pemodelan Biaya Garansi Dua Dimensi Polis FRW(Non-Renewing Free Replacement Warranty) dengan Strategi Penggantian untuk Oil Filter Mobil." d'CARTESIAN 7, no. 1 (May 4, 2018): 1. http://dx.doi.org/10.35799/dc.7.1.2018.19547.
Full textFadmi, Fitri Rachmillah, and La Djabo Buton. "Pelatihan Analisis Data Bivariat Menggunakan SPSS Bagi Dosen STIKES Mandala Waluya Kendari." Jurnal Mandala Pengabdian Masyarakat 1, no. 1 (June 30, 2020): 9–15. http://dx.doi.org/10.35311/jmpm.v1i1.4.
Full textDissertations / Theses on the topic "Bivariat"
Hedbom, Shawn. "Klimatdemonstrationer - något för den yngre generationen? : En kvantiativ studie om klimatdemonstrationer och dem som väljer att delta." Thesis, Södertörns högskola, Sociologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-39981.
Full textSerengil, Volkan. "Bagarna i den nya och gamla gymnasieskolan; Vägen till akademiska studier." Thesis, Malmö högskola, Lärarutbildningen (LUT), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-32381.
Full textPinto, Jayme Augusto Duarte Pereira. "Aprofundando as noções de dependência e envelhecimento em distribuições bivariadas de probabilidade." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-22042014-190441/.
Full textBivariate Marshall-Olkin model, Dual model, Exponential representation, Dependence function, Bivariate aging, Copula, Survival copula, Stochastic order, Bivariate extreme value distribution, Pickands measure, Pickands dependence function, Failure rate, Bivariate hazard gradient, Bivariate lack-of-memory, Residual lifetime vector, Characterization.
Ramalho, Diogo Ricardo Vieira. "Predictive performance of value-at-risk models: Covid-19 “Pandemonium”." Master's thesis, Instituto Superior de Economia e Gestão, 2020. http://hdl.handle.net/10400.5/20949.
Full textAtualmente, os modelos Value-at-Risk (VaR), têm um papel muito importante a nível dos Mercados Financeiros, sendo uma das ferramentas mais utilizadas, por analistas financeiros, para gestão e estimação de risco de mercado. Nesta tese, três métodos de estimação de VaR, nomeadamente o método de Simulação Histórica, GARCH(1,1) e o método EVT-POT Dinâmico, foram aplicados. O propósito deste trabalho é estimar modelos VaR para os países: EUA, França, Alemanha, Itália, Japão, Reino Unido, China, Espanha e Portugal, com um intervalo de tempo desde 1 de Janeiro de 2007 até 31 de Agosto de 2020 e um nível de confiança de 99%. Estas estimações serão então testadas por via Backtest, permitindo identificar quando ocorreram a maioria das falhas, e se estas ocorreram em períodos normais ou de crise (por exemplo, a Pandemia COVID-19). Adicionalmente, é estudado se existe alguma relação entre o número de mortos por país e o movimento dos retornos e da volatilidade dos índices de stocks. O modelo que mostrou ter maior precisão aquando da estimação de períodos de crise foi o EVT-POT dinâmico, sendo HS o modelo menos preciso. É possível observar que a maioria das falhas, causadas por observações incomuns, ocorreram durante os anos 2008, 2011, 2013, 2018 e 2020, que são considerados períodos de crise. Foi também possível concluir que o movimento dos índices de stocks é influenciado pelo aumento do número de mortes por COVID-19, mostrando assim que existe uma relação entre ambos (quando o número de mortes aumenta, os mercados tornam-se mais voláteis).
Nowadays, Value-at-Risk (VaR) models play a crucial role in Financial Markets, being one of the most widely risk management tools used by financial analysts, to estimate market risk. In this thesis, three widely used approaches to estimate VaR, namely Historical Simulation, GARCH(1,1) and Dynamic EVT-POT, were applied. We will estimate VaR models for the countries: USA, UK, France, Germany, Italy, Japan, China, Spain and Portugal with a time horizon from 1st of January of 2007 to 31st of August 2020. It was chosen a confidence level of 99%. These estimations will then be backtested, enabling a conclusion of when the majority of the exceedances happen in a "normal" period or in a crisis period (e.g. COVID-19 Pandemic). Further, it is studied if there is any relation between the mortality number in each country and the movement in returns or volatility of stock indices. The model that showed to be the most accurate when estimating crisis periods is Dynamic EVT-POT model. The model that showed less accuracy is the HS. It is possible to see that most of the exceedances, caused by outlier observations, occur during years 2008, 2011, 2013, 2018 and 2020 which are years known to be crisis periods. It was also possible to conclude that the movement in the stock indices is influenced with the increase in COVID-19 related deaths, showing therefore that there is some sort of relation between the two phenomena (when the number of deaths increase, the markets are more volatile).
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Stone, G. "Bivariate splines." Thesis, University of Bath, 1988. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.233827.
Full textCordeiro, Joana Darc Sousa. "DeterminaÃÃo de fatores de influÃncia no acesso aos serviÃos de saneamento no estado do CearÃ." Universidade Federal do CearÃ, 2008. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=2862.
Full textABSTRACT The positive externalities occasioned by the basic sanitation, included the access to the service at the regulatory mark of the sector. In this context the supply enlargement turns up as a necessary condition, but not enough for a deficit reduction of these services. As we pursue to answer the investigative problem of this work - ? Which reasons determine the chance for the economic agent reside in a domicile with a determined alternative of sanitation? â It is intended to reach the research goal: provide information in order to orientate public policy which may propitiate the effective usage of the sanitation systems. A bivariate logit model was utilized to test the following hypothesis: there are more attributes concurring to the sanitation services for families with a lesser schooling; and electric illumination is a concurring attribute to the sewerage system through the general net. The model is supported on the Consumer Theory, whose satisfaction level increases as he resides in a domicile with a larger number of attributes and in the Theory of HedonicPrices, since the sanitation services are incorporated to the model as one among several available attributes in the domicile demanded by the economic agent. The results show that the exogenous variable schooling is effectively relevant to explain the access to sanitation services, especially those of sewerage. We verify, however that, the results observed in national context may not reflect the regional reality, so that some representative variables of models in national plan were not confirmed in local concept.
Fernández, Mariela. "Influência do comportamento marginal na densidade conjunta bivariada." Universidade de São Paulo, 2007. http://www.teses.usp.br/teses/disponiveis/45/45132/tde-19082007-191440/.
Full textIn this work we propose a representation of a bivariate density according to the geometrical nature of the marginals. A continuous density can be approximated by the exponencial of a polynomial in a finite domain. Such approximation let us study the influence of the marginal and conditional behavior on the joint density. This study is done by finding the possible values of the polynomial coefficients upon the given information about the marginal or the conditional densities. We also analyze the coefficients according some dependence measures. We conclude showing the influence of the marginal and conditional behavior on discrete random variables.
Han, Yi Carpenter Mark. "Location-scale bivariate Weibull distributions for bivariate lifetime modeling." Auburn, Ala., 2005. http://repo.lib.auburn.edu/2006%20Spring/master's/HAN_YI_21.pdf.
Full textHo, Linda Lee. "Análise de contagens multivariadas." Universidade de São Paulo, 1995. http://www.teses.usp.br/teses/disponiveis/3/3136/tde-04072017-101027/.
Full textRegression models are presented to analyse multivariate counts from many populations. Due to the random vector characteristic, we consider two classes of probability models: Multivariate Poisson distribution and Multivariate Poisson Log-Normal distribution. The last distribution admits negative and positive correlations between two components of a random vector under study, while other distributions (as Multivariate Poisson) admit only positive correlation. Estimation methods and test of hypothese on the parameters in bivariate case are discussed. The proposed techniques are illustrated by numerical examples, considering counts of two types of defects in 100g of textile fibers produced by four machines, two from one manufacturer and the other two from another one. The results from different regression models are compared. The empirical distribution of Poisson Log-Normal parameter estimations are studied by simulated samples.
Pu, Wenji. "Tests of bivariate normality." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0025/MQ38403.pdf.
Full textBooks on the topic "Bivariat"
Coulter, Lisa Osterman. The application of piecewise smooth bivariate interpolation to multiphase tabular equation of states. Stony Brook, N. Y: University of Stony Brook, Dept. of Applied Mathematics and Statistics, 1992.
Find full textLai, Chin Diew, and N. Balakrishnan. Continuous Bivariate Distributions. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/b101765.
Full textGrønbæk, Christian. Bivariant periodic cyclic homology. Boca Raton: Chapman & Hall/CRC, 1999.
Find full textLorentz, G. G. Solvability Problems of Bivariate Interpolation. Bonn: Gesellschaft fur Mathematik und Datenverarbeitung, 1985.
Find full textD, Lai C., ed. Continuous bivariate distributions, emphasising applications. Adelaide, South Australia: Rumsby Scientific Publishing, 1990.
Find full textHaung, Xin. Statistics of bivariate extreme values. Amsterdam: Thesis Publishers, 1992.
Find full textLorentz, G. G. Solvability of Bivariate Interpolation II: Applications. Darmstadt: GMD, 1986.
Find full textLorentz, G. G. Three Papers on Bivariate Birkhoff Interpolation. Darmstadt: GMD, 1986.
Find full textLorentz, Rudolph A. Uniform bivariate hermite interpolation I: Coordinate degree. Sankt Augustin: Gesellschaft fur Mathematik und Datenverarbeitung, 1988.
Find full textBook chapters on the topic "Bivariat"
Balakrishna, N., and Chin Diew Lai. "Univariate Distributions." In Continuous Bivariate Distributions, 1–32. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/b101765_1.
Full textBalakrishna, N., and Chin Diew Lai. "Simple Forms of the Bivariate Density Function." In Continuous Bivariate Distributions, 351–400. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/b101765_10.
Full textBalakrishna, N., and Chin Diew Lai. "Bivariate Exponential and Related Distributions." In Continuous Bivariate Distributions, 401–75. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/b101765_11.
Full textBalakrishna, N., and Chin Diew Lai. "Bivariate Normal Distribution." In Continuous Bivariate Distributions, 477–561. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/b101765_12.
Full textBalakrishna, N., and Chin Diew Lai. "Bivariate Extreme-Value Distributions." In Continuous Bivariate Distributions, 563–90. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/b101765_13.
Full textBalakrishna, N., and Chin Diew Lai. "Elliptically Symmetric Bivariate Distributions and Other Symmetric Distributions." In Continuous Bivariate Distributions, 591–622. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/b101765_14.
Full textBalakrishna, N., and Chin Diew Lai. "Simulation of Bivariate Observations." In Continuous Bivariate Distributions, 623–53. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/b101765_15.
Full textBalakrishna, N., and Chin Diew Lai. "Bivariate Copulas." In Continuous Bivariate Distributions, 33–65. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/b101765_2.
Full textBalakrishna, N., and Chin Diew Lai. "Distributions Expressed as Copulas." In Continuous Bivariate Distributions, 67–103. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/b101765_3.
Full textBalakrishna, N., and Chin Diew Lai. "Concepts of Stochastic Dependence." In Continuous Bivariate Distributions, 105–40. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/b101765_4.
Full textConference papers on the topic "Bivariat"
Lim, Kar Wai, Young Lee, and Cheng Soon Ong. "Bayesian Bivariate Hawkes." In the Workshop. New York, New York, USA: ACM Press, 2016. http://dx.doi.org/10.1145/3014340.3014343.
Full textLeira, Bernt J., Dag Myrhaug, and Ha˚vard Holm. "A Bivariate Extreme Value Distribution for Reliability Assessment of Marine Structures." In ASME 2011 30th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2011. http://dx.doi.org/10.1115/omae2011-49952.
Full textCedilnik, A., K. Kosmelj, and A. Blejec. "A new bivariate distribution." In 28th International Conference on Information Technology Interfaces, 2006. IEEE, 2006. http://dx.doi.org/10.1109/iti.2006.1708475.
Full textYANG, SHOUZHI, ZHENGXING CHENG, and XIAOXIA FENG. "BIVARIATE NONSEPARABLE SCALING FUNCTION." In Proceedings of the Third International Conference on WAA. World Scientific Publishing Company, 2003. http://dx.doi.org/10.1142/9789812796769_0017.
Full textJian-Hua, Fan, and Zhang Ying. "Characteristics of Affine Bivariate Pseudoframes According to a Bivariate Generalized Multiresolution Structure." In 2010 International Conference on Challenges in Environmental Science and Computer Engineering. IEEE, 2010. http://dx.doi.org/10.1109/cesce.2010.242.
Full textNaess, Arvid, and Oleh Karpa. "Statistics of Extreme Wind Speeds and Wave Heights by the Bivariate ACER Method." In ASME 2013 32nd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/omae2013-10760.
Full textLv, Baoxian, and Yong Liu. "The Characters of Multiple Affine Bivariate Pseudoframes of Translates with Bivariate Filter Functions." In 2010 International Conference on e-Education, e-Business, e-Management, and e-Learning, (IC4E). IEEE, 2010. http://dx.doi.org/10.1109/ic4e.2010.86.
Full textLiu, Defu, Yan Song, Hongda Shi, Yifa Yu, and Li Ma. "Poisson-Logistic Compound Bivariate Extreme Distribution and Its Application for Designing of Platform Deck Clearance." In ASME 2003 22nd International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2003. http://dx.doi.org/10.1115/omae2003-37395.
Full textLou, Hua, and Ye Zhu. "Bivariate probability-based anomaly detection." In 2014 International Conference on Behavior, Economic and Social Computing (BESC). IEEE, 2014. http://dx.doi.org/10.1109/besc.2014.7059512.
Full textCallegari, Christian, Stefano Giordano, and Michele Pagano. "Bivariate Non-parametric Anomaly Detection." In 2014 IEEE International Conference on High Performance Computing and Communications (HPCC), 2014 IEEE 6th International Symposium on Cyberspace Safety and Security (CSS) and 2014 IEEE 11th International Conference on Embedded Software and Systems (ICESS). IEEE, 2014. http://dx.doi.org/10.1109/hpcc.2014.132.
Full textReports on the topic "Bivariat"
Kallenberg, Olav. Some New Representations in Bivariate Exchangeability. Fort Belvoir, VA: Defense Technical Information Center, July 1986. http://dx.doi.org/10.21236/ada177017.
Full textMullahy, John. Estimation of Multivariate Probit Models via Bivariate Probit. Cambridge, MA: National Bureau of Economic Research, September 2015. http://dx.doi.org/10.3386/w21593.
Full textLangberg, Naftali A., and David S. Stoffer. Moving Average Models with Bivariate Exponential and Geometric Distributions. Fort Belvoir, VA: Defense Technical Information Center, March 1985. http://dx.doi.org/10.21236/ada169953.
Full textLangberg, N. A., and D. S. Stoffer. Moving Average Models with Bivariate Exponential and Geometric Distributions. Fort Belvoir, VA: Defense Technical Information Center, March 1985. http://dx.doi.org/10.21236/ada160178.
Full textSchumaker, Larry L. Analysis of Bivariate and Trivariate Macro-Elements for Surface Fitting. Fort Belvoir, VA: Defense Technical Information Center, April 2002. http://dx.doi.org/10.21236/ada413753.
Full textBlock, H. W., N. A. Langberg, and D. S. Stoffer. Bivariate Exponential and Geometric Autoregressive and Autoregressive Moving Average Models. Fort Belvoir, VA: Defense Technical Information Center, March 1986. http://dx.doi.org/10.21236/ada185591.
Full textFinkelstein, Maxim S., and Veronica Esaulova. On asymptotic failure rates in bivariate frailty competing risks models. Rostock: Max Planck Institute for Demographic Research, August 2006. http://dx.doi.org/10.4054/mpidr-wp-2006-023.
Full textCheverud, James, Claire C. Gordon, Robert A. Walker, Cashell Jacquish, Luci Kohn, Allen Moore, and Nyuta Yamashita. 1998 Anthropometric Survey of U.S. Army Personnel: Bivariate Frequency Tables. Fort Belvoir, VA: Defense Technical Information Center, May 1990. http://dx.doi.org/10.21236/ada222782.
Full textLo, Shaw-Hwa, and Jane-Ling Wang. I.I.D. Representations for the Bivariate Product Limit Estimators and the Bootstrap Versions. Fort Belvoir, VA: Defense Technical Information Center, September 1985. http://dx.doi.org/10.21236/ada171859.
Full textVerrill, Steve P., Frank C. Owens, David E. Kretschmann, and Rubin Shmulsky. A fit of a mixture of bivariate normals to lumber stiffness—strength data. Madison, WI: U.S. Department of Agriculture, Forest Service, Forest Products Laboratory, 2018. http://dx.doi.org/10.2737/fpl-rp-696.
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