Academic literature on the topic 'Two sample testing'
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Journal articles on the topic "Two sample testing"
Städler, Nicolas, and Sach Mukherjee. "Two-sample testing in high dimensions." Journal of the Royal Statistical Society: Series B (Statistical Methodology) 79, no. 1 (April 9, 2016): 225–46. http://dx.doi.org/10.1111/rssb.12173.
Full textHolmes, Chris C., François Caron, Jim E. Griffin, and David A. Stephens. "Two-sample Bayesian Nonparametric Hypothesis Testing." Bayesian Analysis 10, no. 2 (June 2015): 297–320. http://dx.doi.org/10.1214/14-ba914.
Full textTsong, Yi, and Wen-Jen Chen. "Noninferiority Testing Beyond Simple Two-Sample Comparison." Journal of Biopharmaceutical Statistics 17, no. 2 (February 23, 2007): 289–308. http://dx.doi.org/10.1080/10543400601177368.
Full textRamsey, Philip, and Patricia Ramsey. "Testing Variability in the Two-Sample Case." Communications in Statistics - Simulation and Computation 36, no. 2 (2007): 233–48. http://dx.doi.org/10.1080/03610910601158310.
Full textGillam, T. P. S., and C. G. Lester. "Biased bootstrap sampling for efficient two-sample testing." Journal of Instrumentation 13, no. 12 (December 10, 2018): P12014. http://dx.doi.org/10.1088/1748-0221/13/12/p12014.
Full textGönen, Mithat, Peter H. Westfall, and Wesley O. Johnson. "Bayesian Multiple Testing for Two-Sample Multivariate Endpoints." Biometrics 59, no. 1 (March 2003): 76–82. http://dx.doi.org/10.1111/1541-0420.00009.
Full textLiu, Yukun, Pengfei Li, and Yuejiao Fu. "Testing Homogeneity in a Semiparametric Two-Sample Problem." Journal of Probability and Statistics 2012 (2012): 1–15. http://dx.doi.org/10.1155/2012/537474.
Full textGhoshdastidar, Debarghya, Maurilio Gutzeit, Alexandra Carpentier, and Ulrike von Luxburg. "Two-sample hypothesis testing for inhomogeneous random graphs." Annals of Statistics 48, no. 4 (August 2020): 2208–29. http://dx.doi.org/10.1214/19-aos1884.
Full textFeng, Shixia, Qiwei Liang, Robin D. Kinser, Kirk Newland, and Rudolf Guilbaud. "Testing equivalence between two laboratories or two methods using paired-sample analysis and interval hypothesis testing." Analytical and Bioanalytical Chemistry 385, no. 5 (June 7, 2006): 975–81. http://dx.doi.org/10.1007/s00216-006-0417-2.
Full textZhu, Shengyu, Biao Chen, Zhitang Chen, and Pengfei Yang. "Asymptotically Optimal One- and Two-Sample Testing With Kernels." IEEE Transactions on Information Theory 67, no. 4 (April 2021): 2074–92. http://dx.doi.org/10.1109/tit.2021.3059267.
Full textDissertations / Theses on the topic "Two sample testing"
Tong, Bo. "More accurate two sample comparisons for skewed populations." Diss., Kansas State University, 2016. http://hdl.handle.net/2097/35783.
Full textDepartment of Statistics
Haiyan Wang
Various tests have been created to compare the means of two populations in many scenarios and applications. The two-sample t-test, Wilcoxon Rank-Sum Test and bootstrap-t test are commonly used methods. However, methods for skewed two-sample data set are not well studied. In this dissertation, several existing two sample tests were evaluated and four new tests were proposed to improve the test accuracy under moderate sample size and high population skewness. The proposed work starts with derivation of a first order Edgeworth expansion for the test statistic of the two sample t-test. Using this result, new two-sample tests based on Cornish Fisher expansion (TCF tests) were created for both cases of common variance and unequal variances. These tests can account for population skewness and give more accurate test results. We also developed three new tests based on three transformations (T[subscript i] test, i = 1; 2; 3) for the pooled case, which can be used to eliminate the skewness of the studentized statistic. In this dissertation, some theoretical properties of the newly proposed tests are presented. In particular, we derived the order of type I error rate accuracy of the pooled two-sample t-test based on normal approximation (TN test), the TCF and T[subscript i] tests. We proved that these tests give the same theoretical type I error rate under skewness. In addition, we derived the power function of the TCF and TN tests as a function of the population parameters. We also provided the detailed conditions under which the theoretical power of the two-sample TCF test is higher than the two-sample TN test. Results from extensive simulation studies and real data analysis were also presented in this dissertation. The empirical results further confirm our theoretical results. Comparing with commonly used two-sample parametric and nonparametric tests, our new tests (TCF and Ti) provide the same empirical type I error rate but higher power.
Taneja, Atrayee. "New approaches to testing a composite null hypothesis for the two sample binomial problem /." The Ohio State University, 1986. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487323583622319.
Full textNoordien, Zorina. "Testing two measures of subjective well-being amongst a sample of children in the Western Cape." University of the Western Cape, 2015. http://hdl.handle.net/11394/4163.
Full textRecent advancements in child well-being research have shown an increased interest in the importance of subjective well-being. The development of instruments and scales to measure subjective well-being among children and adolescents is in its infancy. Furthermore, there are few existing cross-cultural studies with child and adolescent populations. Validation of existing measures and cross-cultural comparisons has been identified by a number of researchers as critical in contributing to the international dialogue. In the current study, two measures of subjective well-being (Student Life Satisfaction Scale and Personal Well-Being Index-School Children) are tested among a sample of children in the Western Cape region of South Africa. Noting the diversity of experience between children from different socio-economic status groups in South Africa, the study further aims to determine the extent to which the measures are comparable across socio-economic status groups. Data from the Children’s World Survey were used; and includes a sample of 1004 children randomly selected from 15 schools within the Cape Town Metropole. Confirmatory factor analysis was used to test the overall fit structure and multi-group factor analysis, with Scalar and Metric invariance constraints. The results show appropriate fit structure for the overall model, with Scalar and Metric factor invariance tenable across socio-economic status groups. The overall findings suggest that the two measures are appropriate for use with children from low and medium socio-economic status groups in the Western Cape province of South Africa.
Atta-Asiamah, Ernest. "Distributed Inference for Degenerate U-Statistics with Application to One and Two Sample Test." Diss., North Dakota State University, 2020. https://hdl.handle.net/10365/31777.
Full textSun, Yiping. "Rank-sum test for two-sample location problem under order restricted randomized design." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1180147276.
Full textBoulet, John R. "A Monte Carlo comparison of the Type I error rates of the likelihood ratio chi-square test statistic and Hotelling's two-sample T2 on testing the differences between group means." Thesis, University of Ottawa (Canada), 1990. http://hdl.handle.net/10393/5708.
Full textYeo, Jiyoun. "A Multiplex Two-Color Real-Time PCR Method for Quality-Controlled Molecular Diagnostic Testing of FFPE Samples." University of Toledo Health Science Campus / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=mco1396507223.
Full textHarbour, Kenton Dean. "A data acquisition system with switched capacitor sample-and-hold." Thesis, Kansas State University, 1986. http://hdl.handle.net/2097/15269.
Full textJung, Wooseok. "Polymer Lab-on-a-chips from Micro Blood Sampling to Immunoassay for Point-of-care testing of Neonates and Pediatrics in Intensive Care Unit." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1378197139.
Full textLee, Kang Kug. "A Sample-to-Answer Polymer Lab-on-a-Chip with Superhydrophilic Surfaces using a Spray Layer-by-Layer Nano-Assembly Method." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1384864905.
Full textBooks on the topic "Two sample testing"
Levchenko, Boris. Criteria for testing hypotheses about uniformity. Application manual. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/986695.
Full textLemeshko, Boris, and Irina Veretel'nikova. Criteria for testing hypotheses about randomness and the absence of a trend. Application Guide. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1587437.
Full textPaliy, Irina. Probability theory and mathematical statistics. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1065828.
Full textLemeshko, Boris, and Pavel Blinov. Criteria for checking deviations from the exponential law. Application manual. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1097477.
Full textLin, Wen-Ying. Robustness of two multivariate tests to variance-covariance heteroscedasticity and nonnormality when total-sample-size-to-variable ratio is small. 1991.
Find full textMorgan, Douglas E. Point-of-Care Testing (DRAFT). Edited by Raghavan Murugan and Joseph M. Darby. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190612474.003.0030.
Full textCai, Zongwu. Functional Coefficient Models for Economic and Financial Data. Edited by Frédéric Ferraty and Yves Romain. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199568444.013.6.
Full textArce, Michael. Laboratory Testing for Microbial Detection. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199976805.003.0001.
Full textMiksza, Peter, and Kenneth Elpus. Inferential Analysis. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199391905.003.0005.
Full textKotzer, Katrina E., and Sarah E. Kerr. Molecular Technologies and Test Issues. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190604929.003.0005.
Full textBook chapters on the topic "Two sample testing"
Kolassa, John E. "Two-Sample Testing." In An Introduction to Nonparametric Statistics, 39–67. First edition. | Boca Raton : CRC Press, 2020. |: Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9780429202759-3.
Full textGoodman, Melody S. "Two-Sample Hypothesis Testing." In Biostatistics for Clinical and Public Health Research, 221–54. Milton Park, Abingdon, Oxon ; New York, NY : Routledge, 2018.: Routledge, 2017. http://dx.doi.org/10.4324/9781315155661-12.
Full textScharwächter, Erik, and Emmanuel Müller. "Two-Sample Testing for Event Impacts in Time Series." In Proceedings of the 2020 SIAM International Conference on Data Mining, 10–18. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2020. http://dx.doi.org/10.1137/1.9781611976236.2.
Full textGoodman, Melody S. "Lab D: Two-sample (parametric and nonparametric) hypothesis testing." In Biostatistics for Clinical and Public Health Research, 281–87. Milton Park, Abingdon, Oxon ; New York, NY : Routledge, 2018.: Routledge, 2017. http://dx.doi.org/10.4324/9781315155661-14.
Full textHedberg, E. C. "Using Covariates When Testing the Difference in Sample Group Means for Balanced Designs." In Introduction to Power Analysis: Two-Group Studies, 54–70. 2455 Teller Road, Thousand Oaks California 91320: SAGE Publications, Inc., 2018. http://dx.doi.org/10.4135/9781506343105.n9.
Full textAldridge, Matthew, and David Ellis. "Pooled Testing and Its Applications in the COVID-19 Pandemic." In Springer Actuarial, 217–49. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78334-1_11.
Full textSchlag, Mareike, Kai Brune, Hauke Brüning, Michael Noeske, Célian Cherrier, Tobias Hanning, Julius Drosten, et al. "Extended Non-destructive Testing for Surface Quality Assessment." In Adhesive Bonding of Aircraft Composite Structures, 119–222. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-92810-4_3.
Full textChernoff, Herman. "Conservative bounds on extreme P-values for testing the equality of two probabilities based on very large sample sizes." In Institute of Mathematical Statistics Lecture Notes - Monograph Series, 250–54. Beachwood, Ohio, USA: Institute of Mathematical Statistics, 2004. http://dx.doi.org/10.1214/lnms/1196285395.
Full textOrtlepp, Regine, Christoph Schünemann, Patrycia Brzoska, David Schiela, Janneke Westermann, Benjamin Richter, Stefanie Kunze, and Heidi Sinning. "Building Heat-Resilient Neighborhoods—Testing the Implementation on Buildings and in Open Spaces in Two Sample Quarters Dresden and Erfurt." In Building Resilience to Natural Hazards in the Context of Climate Change, 113–56. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-33702-5_6.
Full textCaulcutt, Roland. "Testing and estimation: two samples." In Statistics in Research and Development, 66–80. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-2943-3_5.
Full textConference papers on the topic "Two sample testing"
Deng, Alex. "Objective Bayesian Two Sample Hypothesis Testing for Online Controlled Experiments." In WWW '15: 24th International World Wide Web Conference. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2740908.2742563.
Full textDeng, Alex. "Objective Bayesian Two Sample Hypothesis Testing for Online Controlled Experiments." In WWW '15: 24th International World Wide Web Conference. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2740908.2743062.
Full textKipnis, Alon, and David L. Donoho. "Two-sample Testing of Discrete Distributions under Rare/Weak Perturbations." In 2021 IEEE International Symposium on Information Theory (ISIT). IEEE, 2021. http://dx.doi.org/10.1109/isit45174.2021.9517991.
Full textBargiotas, Ioannis, Argyris Kalogeratos, Myrto Limnios, Pierre-Paul Vidal, Damien Ricard, and Nicolas Vayatis. "Multivariate two-sample hypothesis testing through AUC maximization for biomedical applications." In SETN 2020: 11th Hellenic Conference on Artificial Intelligence. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3411408.3411422.
Full textRastogi, Charvi, Sivaraman Balakrishnan, Nihar Shah, and Aarti Singh. "Two-Sample Testing on Pairwise Comparison Data and the Role of Modeling Assumptions." In 2020 IEEE International Symposium on Information Theory (ISIT). IEEE, 2020. http://dx.doi.org/10.1109/isit44484.2020.9174055.
Full textGangrade, Aditya, Bobak Nazer, and Venkatesh Saligrama. "Two-Sample Testing can be as Hard as Structure Learning in Ising Models: Minimax Lower Bounds." In ICASSP 2018 - 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2018. http://dx.doi.org/10.1109/icassp.2018.8462370.
Full textGONZALEZ-ROMA, VICENTE, ANA HERNANDEZ, JUAN PABLO GAMBOA, and INES TOMAS. "Social class and university graduates’ overqualification: testing two mediated relationships." In Fourth International Conference on Higher Education Advances. Valencia: Universitat Politècnica València, 2018. http://dx.doi.org/10.4995/head18.2018.8035.
Full textPhilonenko, Petr, and Sergey Postovalov. "Test power in two-sample problem testing as the utility function in the theory of decision making under risk and uncertainty." In 2016 13th International Scientific-Technical Conference on Actual Problems of Electronics Instrument Engineering (APEIE). IEEE, 2016. http://dx.doi.org/10.1109/apeie.2016.7806491.
Full textPhilonenko, P. A., and S. N. Postovalov. "Test power in two-sample problem testing as the utility function in the theory of decision making under risk and uncertainty." In 2016 13th International Scientific-Technical Conference on Actual Problems of Electronics Instrument Engineering (APEIE). IEEE, 2016. http://dx.doi.org/10.1109/apeie.2016.7806956.
Full textSayers, Michael B., and Tara M. Dalton. "A Novel Contamination Free Two Temperature Continuous Flow Polymerase Chain Reactor." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-43055.
Full textReports on the topic "Two sample testing"
Friedman, J. On Multivariate Goodness-of-Fit and Two-Sample Testing. Office of Scientific and Technical Information (OSTI), January 2004. http://dx.doi.org/10.2172/826696.
Full textMontalvo-Bartolomei, Axel, Bryant Robbins, Erica Medley, and Benjamin Breland. Backward erosion testing : Magnolia Levee. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/42140.
Full textBoehm, Ted W., and Jim Handy. Central HMA Acceptance Lab Process Improvement Implementation Plan Project. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317130.
Full textScience, Fera. Analysis of CBD Products. Food Standards Agency, November 2022. http://dx.doi.org/10.46756/sci.fsa.cis490.
Full textWillis, C., F. Jorgensen, S. A. Cawthraw, H. Aird, S. Lai, M. Chattaway, I. Lock, E. Quill, and G. Raykova. A survey of Salmonella, Escherichia coli (E. coli) and antimicrobial resistance in frozen, part-cooked, breaded or battered poultry products on retail sale in the United Kingdom. Food Standards Agency, May 2022. http://dx.doi.org/10.46756/sci.fsa.xvu389.
Full textDelwiche, Michael, Boaz Zion, Robert BonDurant, Judith Rishpon, Ephraim Maltz, and Miriam Rosenberg. Biosensors for On-Line Measurement of Reproductive Hormones and Milk Proteins to Improve Dairy Herd Management. United States Department of Agriculture, February 2001. http://dx.doi.org/10.32747/2001.7573998.bard.
Full textConstatine, Aloyce, Zita Ekeocha, Stephen Robert Byrn, and Kari L. Clase. Quality of Sample Testing in the Laboratory Unit: Current Situation and Strategies for Improvement. Purdue University, December 2021. http://dx.doi.org/10.5703/1288284317446.
Full textWeiss, W. Jason, Chunyu Qiao, Burkan Isgor, and Jan Olek. Implementing Rapid Durability Measure for Concrete Using Resistivity and Formation Factor. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317120.
Full textJorgensen, Frieda, Andre Charlett, Craig Swift, Anais Painset, and Nicolae Corcionivoschi. A survey of the levels of Campylobacter spp. contamination and prevalence of selected antimicrobial resistance determinants in fresh whole UK-produced chilled chickens at retail sale (non-major retailers). Food Standards Agency, June 2021. http://dx.doi.org/10.46756/sci.fsa.xls618.
Full textJorgensen, Frieda, John Rodgers, Daisy Duncan, Joanna Lawes, Charles Byrne, and Craig Swift. Levels and trends of antimicrobial resistance in Campylobacter spp. from chicken in the UK. Food Standards Agency, September 2022. http://dx.doi.org/10.46756/sci.fsa.dud728.
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