Academic literature on the topic 'Empirical distribution function test'
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Journal articles on the topic "Empirical distribution function test"
Liu, Yingxi, and Ahmed Tewfik. "Empirical Likelihood Ratio Test With Distribution Function Constraints." IEEE Transactions on Signal Processing 61, no. 18 (September 2013): 4463–72. http://dx.doi.org/10.1109/tsp.2013.2271484.
Full textSKAUG, HANS JULIUS, and DAG TJØSTHEIM. "A nonparametric test of serial independence based on the empirical distribution function." Biometrika 80, no. 3 (1993): 591–602. http://dx.doi.org/10.1093/biomet/80.3.591.
Full textPospelov, Boris, Vladimir Andronov, Evgenіy Rybka, Yuliia Bezuhla, Olena Liashevska, Tetiana Butenko, Eleonora Darmofal, Svitlana Hryshko, Iryna Kozynska, and Yurii Bielashov. "Empirical cumulative distribution function of the characteristic sign of the gas environment during fire." Eastern-European Journal of Enterprise Technologies 4, no. 10 (118) (August 30, 2022): 60–66. http://dx.doi.org/10.15587/1729-4061.2022.263194.
Full textLiu, Xiaohui, Qihua Wang, and Yi Liu. "A consistent jackknife empirical likelihood test for distribution functions." Annals of the Institute of Statistical Mathematics 69, no. 2 (February 1, 2016): 249–69. http://dx.doi.org/10.1007/s10463-015-0550-9.
Full textMEINTANIS, SIMOS, and I. A. KOUTROUVELIS. "TESTING THE FIT TO GENERALIZED POISSON DISTRIBUTIONS BASED ON AN EMPIRICAL TRANSFORM." International Journal of Reliability, Quality and Safety Engineering 08, no. 01 (March 2001): 59–76. http://dx.doi.org/10.1142/s0218539301000359.
Full textMathur, S. K., and D. M. Sakate. "A new test for two-sample location problem based on empirical distribution function." Communications in Statistics - Theory and Methods 46, no. 24 (February 21, 2017): 12345–55. http://dx.doi.org/10.1080/03610926.2017.1295158.
Full textAki, Sigeo. "Some test statistics based on the martingale term of the empirical distribution function." Annals of the Institute of Statistical Mathematics 38, no. 1 (December 1986): 1–21. http://dx.doi.org/10.1007/bf02482496.
Full textGonzález-Albornoz, Pablo, and Francisco Novoa-Muñoz. "Goodness-of-Fit Test for the Bivariate Hermite Distribution." Axioms 12, no. 1 (December 22, 2022): 7. http://dx.doi.org/10.3390/axioms12010007.
Full textBierens, Herman J., and Li Wang. "INTEGRATED CONDITIONAL MOMENT TESTS FOR PARAMETRIC CONDITIONAL DISTRIBUTIONS." Econometric Theory 28, no. 2 (August 2, 2011): 328–62. http://dx.doi.org/10.1017/s0266466611000168.
Full textTowhidi, M., and M. Salmanpour. "A New Goodness-of-Fit Test for a Distribution by the Empirical Characteristic Function." Journal of Statistical Research of Iran 2, no. 1 (September 1, 2005): 1–13. http://dx.doi.org/10.18869/acadpub.jsri.2.1.1.
Full textDissertations / Theses on the topic "Empirical distribution function test"
Steele, Michael C., and n/a. "The Power of Categorical Goodness-Of-Fit Statistics." Griffith University. Australian School of Environmental Studies, 2003. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20031006.143823.
Full textSteele, Michael C. "The Power of Categorical Goodness-Of-Fit Statistics." Thesis, Griffith University, 2003. http://hdl.handle.net/10072/366717.
Full textThesis (PhD Doctorate)
Doctor of Philosophy (PhD)
Australian School of Environmental Studies
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Haluzová, Dana. "Uplatnění statistických metod pro zkoumání vlastností nejprodávanějších přípravků na ochranu rostlin a vztahů mezi nimi." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2018. http://www.nusl.cz/ntk/nusl-377387.
Full textTSUYUGUCHI, Aline Barbosa. "Testes de bondade de ajuste para a distribuição Birnbaum-Saunders." Universidade Federal de Campina Grande, 2012. http://dspace.sti.ufcg.edu.br:8080/jspui/handle/riufcg/1333.
Full textMade available in DSpace on 2018-08-02T21:21:48Z (GMT). No. of bitstreams: 1 ALINE BARBOSA TSUYUGUCHI - DISSERTAÇÃO PPGMAT 2012..pdf: 613833 bytes, checksum: c354cd90842e461c0fb29b0ee5f925d3 (MD5) Previous issue date: 2012-02
CNPq
Neste trabalho estudamos testes de bondade de ajuste para a distribuição Birnbaum-Saunders. Consideramos testes clássicos baseados em função de distribuição empírica (Anderson-Darling, Cramér-von Mises e Kolmogorov-Sminorv) e baseados em função característica empírica. Nos limitamos ao caso onde o vetor de parâmetros é desconhecido e, portanto deverá ser estimado. Apresentamos estudos de simulação para verificar o desempenho das estatísticas de teste em estudo. Além disso, propomos estudos de simulação de Monte Carlo para testes de bondade de ajuste para a distribuição Birnbaum-Saunders com dados com censura tipo II.
In this work we study goodness-of-fit tests for Birnbaum-Saunders distribution. We consider classical tests based on empirical distribution function (Anderson-Darling, Cramér-von Mises e Kolmogorov-Sminorv) and based on empirical characteristic function. We limited this study to the case in which the vector of parameters is unknown and, therefore, must be estimated. We present the simulation studies to verify the performance of the test statistics in study. Also, we propose simulation studies of Monte Carlo for goodness-of-fit test for Birnbaum-Saunders distribution using Type-II censored data.
Huang, Yen-Chin. "Empirical distribution function statistics, speed of convergence, and p-variation." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/12017.
Full textYu, Jun. "Empirical characteristics function in time series estimation and a test statistic in financial modelling." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp02/NQ31169.pdf.
Full textKWON, YEIL. "NONPARAMETRIC EMPIRICAL BAYES SIMULTANEOUS ESTIMATION FOR MULTIPLE VARIANCES." Diss., Temple University Libraries, 2018. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/495491.
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The shrinkage estimation has proven to be very useful when dealing with a large number of mean parameters. In this dissertation, we consider the problem of simultaneous estimation of multiple variances and construct a shrinkage type, non-parametric estimator. We take the non-parametric empirical Bayes approach by starting with an arbitrary prior on the variances. Under an invariant loss function, the resultant Bayes estimator relies on the marginal cumulative distribution function of the sample variances. Replacing the marginal cdf by the empirical distribution function, we obtain a Non-parametric Empirical Bayes estimator for multiple Variances (NEBV). The proposed estimator converges to the corresponding Bayes version uniformly over a large set. Consequently, the NEBV works well in a post-selection setting. We then apply the NEBV to construct condence intervals for mean parameters in a post-selection setting. It is shown that the intervals based on the NEBV are shortest among all the intervals which guarantee a desired coverage probability. Through real data analysis, we have further shown that the NEBV based intervals lead to the smallest number of discordances, a desirable property when we are faced with the current "replication crisis".
Temple University--Theses
Chen, Yuanyuan. "Continuity and compositions of operators with kernels in ultra-test function and ultra-distribution spaces." Doctoral thesis, Linnéuniversitetet, Institutionen för matematik (MA), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-58076.
Full textNgunkeng, Grace. "Statistical Analysis of Skew Normal Distribution and its Applications." Bowling Green State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1370958073.
Full textChopping, M. J. "Linear semi-empirical kernel-driven bidirectional reflectance distribution function models in monitoring semi-arid grasslands from space." Thesis, University of Nottingham, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262949.
Full textBooks on the topic "Empirical distribution function test"
Bai, Jushan. Testing for parameter constancy in linear regressions: Empirical distribution function approach. Cambridge, Mass: Dept. of Economics, Massachusetts Institute of Technology, 1993.
Find full textŚlusarski, Marek. Metody i modele oceny jakości danych przestrzennych. Publishing House of the University of Agriculture in Krakow, 2017. http://dx.doi.org/10.15576/978-83-66602-30-4.
Full textNoonan, Máire. Dutch and German R-pronouns and P-stranding. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198778264.003.0010.
Full textKreuder-Sonnen, Christian. Emergency Powers of International Organizations. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198832935.001.0001.
Full textOlson, Kristi A. The Solidarity Solution. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190907457.001.0001.
Full textDomhoff, G. William. The Emergence of Dreaming. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190673420.001.0001.
Full textZydroń, Tymoteusz. Wpływ systemów korzeniowych wybranych gatunków drzew na przyrost wytrzymałości gruntu na ścinanie. Publishing House of the University of Agriculture in Krakow, 2019. http://dx.doi.org/10.15576/978-83-66602-46-5.
Full textBook chapters on the topic "Empirical distribution function test"
Stephens, Michael A. "Tests of Fit Based on The Empirical Distribution Function." In International Encyclopedia of Statistical Science, 1597–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-04898-2_591.
Full textTakeuchi, Kei. "The Studentized Empirical Characteristic Function and Its Application to Test for the Shape of Distribution." In Contributions on Theory of Mathematical Statistics, 221–35. Tokyo: Springer Japan, 2020. http://dx.doi.org/10.1007/978-4-431-55239-0_9.
Full textThas, Olivier. "Methods Based on the Empirical Distribution Function." In Comparing Distributions, 297–310. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/b99044_11.
Full textThas, Olivier. "Methods Based on the Empirical Distribution Function." In Comparing Distributions, 123–60. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/b99044_5.
Full textThas, Olivier. "Methods Based on the Empirical Distribution Function." In Comparing Distributions, 297–310. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-0-387-92710-7_11.
Full textThas, Olivier. "Methods Based on the Empirical Distribution Function." In Comparing Distributions, 123–60. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-0-387-92710-7_5.
Full textKolmogorov, A. "On the Empirical Determination of a Distribution Function." In Springer Series in Statistics, 106–13. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-4380-9_10.
Full textLazar, Marian, and Horst Fichtner. "Kappa Distribution Function: From Empirical to Physical Concepts." In Kappa Distributions, 107–23. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82623-9_6.
Full textZhu, Jun, S. N. Lahiri, and Noel Cressie. "Asymptotic Distribution of the Empirical Cumulative Distribution Function Predictor under Nonstationarity." In Spatial Statistics: Methodological Aspects and Applications, 1–20. New York, NY: Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4613-0147-9_1.
Full textEfron, Bradley, and Robert J. Tibshirani. "The empirical distribution function and the plug-in principle." In An Introduction to the Bootstrap, 31–38. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4899-4541-9_4.
Full textConference papers on the topic "Empirical distribution function test"
Ono, Takashi, Masaki Kaji, and Michiaki Nishimura. "Reliability Evaluation of Structural Ceramics Under Multiaxial Stress State." In ASME 1998 International Gas Turbine and Aeroengine Congress and Exhibition. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/98-gt-595.
Full textKrause, Oswin, Asja Fischer, and Christian Igel. "Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines (Extended Abstract)." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/704.
Full textLima, Jose Antonio Moreira, Eric Oliveira Ribeiro, Wellington Ceccopieri, and Guisela Grossmann Matheson. "Directional Extreme Current Profiles Based on Complex Empirical Orthogonal Functions (C-EOF) for Offshore Design." In ASME 2009 28th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2009. http://dx.doi.org/10.1115/omae2009-79467.
Full textIzadparast, Amir H., and John M. Niedzwecki. "Probability Distributions for Wave Runup on Offshore Platform Columns." In ASME 2009 28th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2009. http://dx.doi.org/10.1115/omae2009-79625.
Full textStarlinger, Alois, Stephen F. Duffy, and Joseph L. Palko. "Parameter Estimation Techniques Based on Optimizing Goodness-of-Fit Statistics for Structural Reliability." In ASME 1993 Design Technical Conferences. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/detc1993-0062.
Full textUchimura, H., A. Kokaji, and M. Kaji. "Evaluation of Fast Fracture Strength of Ceramic Components Under Multiaxial Stress States." In ASME 1992 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1992. http://dx.doi.org/10.1115/92-gt-384.
Full textZhang, Zhihong, Zhiqiang Li, and Yunke Wu. "Numerical Simulation of Reacting Flows Around a Bluff-Body Flame Stabilizer With Lattice Boltzmann Method." In ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/gt2020-15120.
Full textTagliaferri, Francesca, and Narakorn Srinil. "Quantifying Uncertainties in Phenomenological Model of Two-Dimensional VIV Using Multivariate Monte Carlo Simulations." In ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/omae2017-61058.
Full textIndrebo, Ann Kristin, and John M. Niedzwecki. "Wave Runup on Cylinders Subject to Deep Water Random Waves." In ASME 2004 23rd International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2004. http://dx.doi.org/10.1115/omae2004-51188.
Full textKubaychuk, O. О. "Correction algorithm for weighted empirical distribution function." In MATHEMATICS, PHYSICS, MECHANICS, ASTRONOMY, COMPUTER SCIENCE AND CYBERNETICS: ISSUES OF PRODUCTIVE INTERACTION. Baltija Publishing, 2021. http://dx.doi.org/10.30525/978-9934-26-115-2-2.
Full textReports on the topic "Empirical distribution function test"
Bouezmarni, Taoufik, Mohamed Doukali, and Abderrahim Taamouti. Copula-based estimation of health concentration curves with an application to COVID-19. CIRANO, 2022. http://dx.doi.org/10.54932/mtkj3339.
Full textUpadhyaya, Shrini, Dan Wolf, William J. Chancellor, Itzhak Shmulevich, and Amos Hadas. Traction-Soil Compaction Tradeoffs as a Function of Dynamic Soil-Tire Interation Due to Varying Soil and Loading Conditions. United States Department of Agriculture, October 1995. http://dx.doi.org/10.32747/1995.7612832.bard.
Full textBackstrom, Robert, and David Dini. Firefighter Safety and Photovoltaic Systems Summary. UL Firefighter Safety Research Institute, November 2011. http://dx.doi.org/10.54206/102376/kylj9621.
Full textBackstrom, Robert, and David Backstrom. Firefighter Safety and Photovoltaic Installations Research Project. UL Firefighter Safety Research Institute, November 2011. http://dx.doi.org/10.54206/102376/viyv4379.
Full textRusso, David, and William A. Jury. Characterization of Preferential Flow in Spatially Variable Unsaturated Field Soils. United States Department of Agriculture, October 2001. http://dx.doi.org/10.32747/2001.7580681.bard.
Full textQUANTITATIVE EVALUATION OF EFFECT OF VARIOUS SPAN-TO-DEPTH RATIOS ON THE COLLAPSE PERFORMANCE OF PLANAR STEEL FRAMES. The Hong Kong Institute of Steel Construction, December 2022. http://dx.doi.org/10.18057/ijasc.2022.18.4.5.
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