Academic literature on the topic 'Tests of hypothesis'
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Journal articles on the topic "Tests of hypothesis"
Campbell, Malcolm. "Hypothesis tests." African Journal of Midwifery and Women's Health 10, no. 4 (October 2, 2016): 154–61. http://dx.doi.org/10.12968/ajmw.2016.10.4.154.
Full textWalker, J. "Hypothesis tests." BJA Education 19, no. 7 (July 2019): 227–31. http://dx.doi.org/10.1016/j.bjae.2019.03.006.
Full textBulut, Hasan. "AN R PACKAGE FOR MULTIVARIATE HYPOTHESIS TESTS: MVTESTS." E-journal of New World Sciences Academy 14, no. 4 (November 1, 2019): 132–38. http://dx.doi.org/10.12739/nwsa.2019.14.4.2a0175.
Full textRoss, Frederick J. "Hypothesis Tests and p-values." Journal of Psychiatric Practice 17, no. 4 (July 2011): 288–91. http://dx.doi.org/10.1097/01.pra.0000400267.83407.b6.
Full textWonnacott, Thomas. "Confidence intervals or hypothesis tests?" Journal of Applied Statistics 14, no. 3 (January 1987): 195–201. http://dx.doi.org/10.1080/02664768700000025.
Full textAbelson, Robert P., and Deborah A. Prentice. "Contrast tests of interaction hypothesis." Psychological Methods 2, no. 4 (1997): 315–28. http://dx.doi.org/10.1037/1082-989x.2.4.315.
Full textGuo, M., and D. F. Heitjan. "Multiplicity-calibrated Bayesian hypothesis tests." Biostatistics 11, no. 3 (March 8, 2010): 473–83. http://dx.doi.org/10.1093/biostatistics/kxq012.
Full textKroll, Charles N., Kelly E. Croteau, and Richard M. Vogel. "Hypothesis tests for hydrologic alteration." Journal of Hydrology 530 (November 2015): 117–26. http://dx.doi.org/10.1016/j.jhydrol.2015.09.057.
Full textFeng, Yanming. "Regression and Hypothesis Tests for Multivariate GNSS State Time Series." Journal of Global Positioning Systems 11, no. 1 (June 30, 2012): 33–45. http://dx.doi.org/10.5081/jgps.11.1.33.
Full textHewson, Paul. "Introducing the logic of hypothesis tests though randomisation tests." MSOR Connections 14, no. 2 (February 11, 2016): 16. http://dx.doi.org/10.21100/msor.v14i2.259.
Full textDissertations / Theses on the topic "Tests of hypothesis"
Vilela, Lucas Pimentel. "Hypothesis testing in econometric models." reponame:Repositório Institucional do FGV, 2015. http://hdl.handle.net/10438/18249.
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This thesis contains three chapters. The first chapter considers tests of the parameter of an endogenous variable in an instrumental variables regression model. The focus is on one-sided conditional t-tests. Theoretical and numerical work shows that the conditional 2SLS and Fuller t-tests perform well even when instruments are weakly correlated with the endogenous variable. When the population F-statistic is as small as two, the power is reasonably close to the power envelopes for similar and non-similar tests which are invariant to rotation transformations of the instruments. This finding is surprising considering the poor performance of two-sided conditional t-tests found in Andrews, Moreira, and Stock (2007). These tests have bad power because the conditional null distributions of t-statistics are asymmetric when instruments are weak. Taking this asymmetry into account, we propose two-sided tests based on t-statistics. These novel tests are approximately unbiased and can perform as well as the conditional likelihood ratio (CLR) test. The second and third chapters are interested in maxmin and minimax regret tests for broader hypothesis testing problems. In the second chapter, we present maxmin and minimax regret tests satisfying more general restrictions than the alpha-level and the power control over all alternative hypothesis constraints. More general restrictions enable us to eliminate trivial known tests and obtain tests with desirable properties, such as unbiasedness, local unbiasedness and similarity. In sequence, we prove that both tests always exist and under suficient assumptions, they are Bayes tests with priors that are solutions of an optimization problem, the dual problem. In the last part of the second chapter, we consider testing problems that are invariant to some group of transformations. Under the invariance of the hypothesis testing, the Hunt-Stein Theorem proves that the search for maxmin and minimax regret tests can be restricted to invariant tests. We prove that the Hunt-Stein Theorem still holds under the general constraints proposed. In the last chapter we develop a numerical method to implement maxmin and minimax regret tests proposed in the second chapter. The parametric space is discretized in order to obtain testing problems with a finite number of restrictions. We prove that, as the discretization turns finer, the maxmin and the minimax regret tests satisfying the finite number of restrictions have the same alternative power of the maxmin and minimax regret tests satisfying the general constraints. Hence, we can numerically implement tests for a finite number of restrictions as an approximation for the tests satisfying the general constraints. The results in the second and third chapters extend and complement the maxmin and minimax regret literature interested in characterizing and implementing both tests.
Esta tese contém três capítulos. O primeiro capítulo considera testes de hipóteses para o coeficiente de regressão da variável endógena em um modelo de variáveis instrumentais. O foco é em testes-t condicionais para hipóteses unilaterais. Trabalhos teóricos e numéricos mostram que os testes-t condicionais centrados nos estimadores de 2SLS e Fuller performam bem mesmo quando os instrumentos são fracamente correlacionados com a variável endógena. Quando a estatística F populacional é menor que dois, o poder é razoavelmente próximo do poder envoltório para testes que são invariantes a transformações que rotacionam os instrumentos (similares ou não similares). Este resultado é surpreendente considerando a baixa performance dos testes-t condicionais para hipóteses bilaterais apresentado em Andrews, Moreira, and Stock (2007). Estes testes possuem baixo poder porque as distribuições das estatísticas-t na hipótese nula são assimétricas quando os instrumentos são fracos. Explorando tal assimetria, nós propomos testes para hipóteses bilaterais baseados em estatísticas-t. Estes testes são aproximadamente não viesados e podem performar tão bem quanto o teste de razão de máxima verossimilhança condicional. No segundo e no terceiro capítulos, nosso interesse é em testes do tipo maxmin e minimax regret para testes de hipóteses mais gerais. No segundo capítulo, nós apresentamos testes maxmin e minimax regret que satisfazem restrições mais gerais que as restrições de tamanho e de controle sobre todo o poder na hipótese alternativa. Restrições mais gerais nos possibilitam eliminar testes triviais e obter testes com propriedades desejáveis, como por exemplo não viés, não viés local e similaridade. Na sequência, nós provamos que ambos os testes existem e, sob condições suficientes, eles são testes Bayesianos com priors que são solução de um problema de otimização, o problema dual. Na última parte do segundo capítulo, nós consideramos testes de hipóteses que são invariantes à algum grupo de transformações. Sob invariância, o Teorema de Hunt-Stein implica que a busca por testes maxmin e minimax regret pode ser restrita a testes invariantes. Nós provamos que o Teorema de Hunt-Stein continua válido sob as restrições gerais propostas. No último capítulo, nós desenvolvemos um procedimento numérico para implementar os testes maxmin e minimax regret propostos no segundo capítulo. O espaço paramétrico é discretizado com o objetivo de obter testes de hipóteses com um número finito de pontos. Nós provamos que, ao considerarmos partições mais finas, os testes maxmin e minimax regret que satisfazem um número finito de pontos possuem o mesmo poder na hipótese alternativa que os testes maxmin e minimax regret que satisfazem as restrições gerais. Portanto, nós podemos implementar numericamente os testes que satisfazem um número finito de pontos como aproximação aos testes que satisfazem as restrições gerais.
Bartroff, Jay L. Lorden Gary. "Asymptotically optimal multistage hypothesis tests /." Diss., Pasadena, Calif. : California Institute of Technology, 2004. http://resolver.caltech.edu/CaltechETD:etd-05202004-133633.
Full textReschenhofer, Erhard, and Michael A. Hauser. "Tests of the Efficient Markets Hypothesis." Austrian Statistical Society, 1997. http://epub.wu.ac.at/6613/1/541%2DArticle_Text%2D1535%2D1%2D10%2D20160403.pdf.
Full textFeng, WeiWei. "BAYESIAN AND FREQUENTIST HYPOTHESIS TESTS OF HETEROSCEDASTICITY." Thesis, Örebro universitet, Handelshögskolan vid Örebro Universitet, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-37435.
Full textPollio, G. "Empirical tests of the rational expectations hypothesis." Thesis, City University London, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.351632.
Full textCox, Gregory Sean. "Designing hypothesis tests for digital image matching." Doctoral thesis, University of Cape Town, 2000. http://hdl.handle.net/11427/5266.
Full textImage matching in its simplest form is a two class decision problem. Based on the evidence in two sensed images, a matching procedure must decide whether they represent two views of the same scene, or views of two different scens. Previous solutions to this problem were either based on an intuitive notion of image similarity, or were modelled on solutions to the superficially similar problem of target detection in images. This research, in contrast, uses a decision theoretic formulation of the problem, with the image pair as unit of observation and probability of error in the match/mismatch decision as performance criterion. A stochastic model is proposed for the image pair, and the optimal test of match and mismatch hypotheses for samples of this random process is derived. The test is written conveniently in terms of a statistic of the two images and a scalar decision threshold. The analytical advantages of a solution derived from first principles are illustrated with the derivation of hypothesis conditional probability distributions, optimal decision thresholds, and expessions for the probability of error in the decision.
Lapenta, Elia. "Three Essays in Hypothesis Testing." Thesis, Toulouse 1, 2020. http://www.theses.fr/2020TOU10053.
Full textHarris, Richard D. F. "Some tests of the efficient markets hypothesis panel data." Thesis, University of Exeter, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.361410.
Full textBegum, Nelufa 1967. "A new class of hypothesis tests which maximize average power." Monash University, Dept. of Econometrics and Business Statistics, 2003. http://arrow.monash.edu.au/hdl/1959.1/5506.
Full textBooks on the topic "Tests of hypothesis"
Quah, Danny. Galton's fallacy and tests of the convergence hypothesis. Cambridge, Mass: Dept. of Economics, Massachusetts Institute of Technology, 1990.
Find full textQuah, Danny. Galton's fallacy and tests of the convergence hypothesis. London: Centre for Economic Policy Research, 1993.
Find full textGoos, Peter. Statistics with JMP: Hypothesis tests, ANOVA, and regression. Chichester, West Sussex: John Wiley & Sons, Inc., 2016.
Find full textCohen, Daniel. Tests of the convergence hypothesis: Some further results. London: Centre for Economic Policy Research, 1995.
Find full textQuah, Danny. Galton's fallacy and tests of the convergence hypothesis. London: Centre for Economic Policy Research, 1993.
Find full text1943-, Neuhaus Georg, ed. Rank tests with estimated scores and their application. Stuttgart: B.G. Teubner, 1989.
Find full textDrost, Feike Cornelis. Asymptotics for generalized chi-square goodness-of-fit tests. Amsterdam: Centrum voor Wiskunde en Informatica, 1988.
Find full textBook chapters on the topic "Tests of hypothesis"
Lista, Luca. "Hypothesis Tests." In Statistical Methods for Data Analysis in Particle Physics, 175–204. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62840-0_9.
Full textHaslwanter, Thomas. "Hypothesis Tests." In An Introduction to Statistics with Python, 121–37. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28316-6_7.
Full textLista, Luca. "Hypothesis Tests." In Statistical Methods for Data Analysis in Particle Physics, 123–36. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-20176-4_7.
Full textAllerhand, Mike. "Hypothesis Tests." In A Tiny Handbook of R, 59–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17980-8_4.
Full textMillard, Steven P. "Hypothesis Tests." In EnvironmentalStats for S-Plus®, 131–49. New York, NY: Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4613-0043-4_7.
Full textMillard, Steven P. "Hypothesis Tests." In EnvStats, 149–73. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8456-1_7.
Full textSeber, George A. F. "Multivariate Hypothesis Tests." In Statistical Models for Proportions and Probabilities, 41–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39041-8_4.
Full textShoben, Abigail B. "Interpreting Hypothesis Tests." In Epidemiology and Biostatistics, 181–87. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-88433-2_17.
Full textAljandali, Abdulkader. "Nonparametric Hypothesis Tests." In Quantitative Analysis and IBM® SPSS® Statistics, 103–15. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45528-0_6.
Full textRhinehart, R. Russell, and Robert M. Bethea. "Nonparametric Hypothesis Tests." In Applied Engineering Statistics, 149–62. 2nd ed. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003222330-8.
Full textConference papers on the topic "Tests of hypothesis"
Li, Zuxing, and Tobias J. Oechtering. "Privacy-Utility Management of Hypothesis Tests." In 2018 IEEE Information Theory Workshop (ITW). IEEE, 2018. http://dx.doi.org/10.1109/itw.2018.8613427.
Full textParis, S., D. Mary, and A. Ferrari. "Composite hypothesis tests for sparse parameters." In 2011 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2011. http://dx.doi.org/10.1109/ssp.2011.5967808.
Full textLemeshko, B. Y., E. P. Mirkin, and M. A. Gerasimov. "Tests of Hypothesis About Homogeneity of Means." In 2006 8th International Conference on Actual Problems of Electronic Instrument Engineering. IEEE, 2006. http://dx.doi.org/10.1109/apeie.2006.4292560.
Full textVincent, Lionel, Philippe Maurine, Edith Beigne, and Suzanne Lesecq. "Local environmental variability monitoring using hypothesis tests." In 2012 IEEE Faible Tension Faible Consommation (FTFC). IEEE, 2012. http://dx.doi.org/10.1109/ftfc.2012.6231730.
Full textVats, Divyanshu, Vishal Monga, Umamahesh Srinivas, and Jose M. F. Moura. "Scalable robust hypothesis tests using graphical models." In ICASSP 2011 - 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2011. http://dx.doi.org/10.1109/icassp.2011.5946260.
Full textZhang, Qian, Pramod K. Varshney, and Yunmin Zhu. "Design of extended Neyman-Pearson hypothesis tests." In AeroSense '99, edited by Ivan Kadar. SPIE, 1999. http://dx.doi.org/10.1117/12.357178.
Full textSmith, Graeme E., Pawan Setlur, and Bijan G. Mobasseri. "Multiple hypothesis tests For robust radar target recognition." In 2011 IEEE Radar Conference (RadarCon). IEEE, 2011. http://dx.doi.org/10.1109/radar.2011.5960581.
Full textWei, Dennis. "Adaptive sensing resource allocation over multiple hypothesis tests." In ICASSP 2015 - 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2015. http://dx.doi.org/10.1109/icassp.2015.7178627.
Full textChakrabarti, Aniket, and Srinivasan Parthasarathy. "Sequential Hypothesis Tests for Adaptive Locality Sensitive Hashing." In WWW '15: 24th International World Wide Web Conference. Republic and Canton of Geneva, Switzerland: International World Wide Web Conferences Steering Committee, 2015. http://dx.doi.org/10.1145/2736277.2741665.
Full textWebb, Geoffrey I., and François Petitjean. "A Multiple Test Correction for Streams and Cascades of Statistical Hypothesis Tests." In KDD '16: The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2939672.2939775.
Full textReports on the topic "Tests of hypothesis"
Bernard, Andrew, and Steven Durlauf. Interpreting Tests of the Convergence Hypothesis. Cambridge, MA: National Bureau of Economic Research, June 1994. http://dx.doi.org/10.3386/t0159.
Full textStock, James, and Kenneth West. Integrated Regressors and Tests of the Permanent Income Hypothesis. Cambridge, MA: National Bureau of Economic Research, August 1987. http://dx.doi.org/10.3386/w2359.
Full textThornton, Daniel L. Tests of the Expectations Hypothesis: Resolving the Campbell-Shiller Paradox. Federal Reserve Bank of St. Louis, 2003. http://dx.doi.org/10.20955/wp.2003.022.
Full textNelson, Charles. A Reappraisal of Recent Tests of the Permanent Income Hypothesis. Cambridge, MA: National Bureau of Economic Research, August 1985. http://dx.doi.org/10.3386/w1687.
Full textCardenas, Alvaro A., Vahid Ramezani, and John S. Baras. HMM Sequential Hypothesis Tests for Intrusion Detection in MANETs Extended Abstract. Fort Belvoir, VA: Defense Technical Information Center, January 2003. http://dx.doi.org/10.21236/ada439785.
Full textVerrill, Steve P., and Richard A. Johnson. Confidence bounds and hypothesis tests for normal distribution coefficients of variation. Madison, WI: U.S. Department of Agriculture, Forest Service, Forest Products Laboratory, 2007. http://dx.doi.org/10.2737/fpl-rp-638.
Full textGray, H. L., Wayne A. Woodward, and Suojin Wang. Testing the Consistency of Soviet Data Using a Sequence of Hypothesis Tests. Fort Belvoir, VA: Defense Technical Information Center, September 1990. http://dx.doi.org/10.21236/ada241711.
Full textSchembri, Philip Edward, Antranik Antonio Siranosian, and Lance Allen Kingston. Hypothesis to Explain the Size Effect Observed in APO-BMI Compression Tests. Office of Scientific and Technical Information (OSTI), January 2015. http://dx.doi.org/10.2172/1167240.
Full textBekaert, Geert, Robert Hodrick, and David Marshall. On Biases in Tests of the Expecations Hypothesis of the Term Structure Of Interest Rates. Cambridge, MA: National Bureau of Economic Research, January 1996. http://dx.doi.org/10.3386/t0191.
Full textBanerjee, Anindya, Robin Lumsdaine, and James Stock. Recursive and Sequential Tests of the Unit Root and Trend Break Hypothesis: Theory and International Evidence. Cambridge, MA: National Bureau of Economic Research, November 1990. http://dx.doi.org/10.3386/w3510.
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