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Academic literature on the topic 'Parametric tests'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 March 2023

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Journal articles on the topic "Parametric tests"

1

Sedgwick, P. "Parametric v non-parametric statistical tests." BMJ 344, mar14 2 (2012): e1753-e1753. http://dx.doi.org/10.1136/bmj.e1753.

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Yang, Shengping, and Gilbert Berdine. "Non-parametric tests." Southwest Respiratory and Critical Care Chronicles 2, no. 8 (2014): 63. http://dx.doi.org/10.12746/swrccc.v2i8.163.

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Fletcher, J. "Non-parametric tests." BMJ 338, mar04 2 (2009): b781. http://dx.doi.org/10.1136/bmj.b781.

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4

Oldham, Jackie. "Statistical tests (Part 2): parametric tests." Nursing Standard 7, no. 44 (1993): 28–30. http://dx.doi.org/10.7748/ns.7.44.28.s54.

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Oldham, Jackie. "Statistical tests (part 3): non-parametric tests." Nursing Standard 7, no. 45 (1993): 28–30. http://dx.doi.org/10.7748/ns.7.45.28.s40.

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Szűcs, Gábor. "Non-parametric bootstrap tests for parametric distribution families." Acta Scientiarum Mathematicarum 77, no. 3-4 (2011): 703–23. http://dx.doi.org/10.1007/bf03651319.

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Mushinski, David W. "Using non-parametrics to inform parametric tests of Kuznets' hypothesis." Applied Economics Letters 8, no. 2 (2001): 77–79. http://dx.doi.org/10.1080/13504850150204093.

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Lee, Dong Jin. "Parametric and Semi-Parametric Efficient Tests for Parameter Instability." Journal of Time Series Analysis 37, no. 4 (2015): 451–75. http://dx.doi.org/10.1111/jtsa.12169.

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Sedgwick, P. "A comparison of parametric and non-parametric statistical tests." BMJ 350, apr17 1 (2015): h2053. http://dx.doi.org/10.1136/bmj.h2053.

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Ortega-Benito, J. M. "Skewed distributions and parametric tests." BMJ 303, no. 6793 (1991): 58. http://dx.doi.org/10.1136/bmj.303.6793.58.

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Dissertations / Theses on the topic "Parametric tests"

1

Capanu, Marinela. "Tests of misspecification for parametric models." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0010943.

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Sarker, Md Shah Jalal. "Tests for Weibull based proportional hazards frailty models." Thesis, University of Surrey, 2002. http://epubs.surrey.ac.uk/1046/.

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Xu, Yangyi. "Frequentist-Bayesian Hybrid Tests in Semi-parametric and Non-parametric Models with Low/High-Dimensional Covariate." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/71285.

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We provide a Frequentist-Bayesian hybrid test statistic in this dissertation for two testing problems. The first one is to design a test for the significant differences between non-parametric functions and the second one is to design a test allowing any departure of predictors of high dimensional X from constant. The implementation is also given in construction of the proposal test statistics for both problems. For the first testing problem, we consider the statistical difference among massive outcomes or signals to be of interest in many diverse fields including neurophysiology, imaging, engineering, and other related fields. However, such data often have nonlinear system, including to row/column patterns, having non-normal distribution, and other hard-to-identifying internal relationship, which lead to difficulties in testing the significance in difference between them for both unknown relationship and high-dimensionality. In this dissertation, we propose an Adaptive Bayes Sum Test capable of testing the significance between two nonlinear system basing on universal non-parametric mathematical decomposition/smoothing components. Our approach is developed from adapting the Bayes sum test statistic by Hart (2009). Any internal pattern is treated through Fourier transformation. Resampling techniques are applied to construct the empirical distribution of test statistic to reduce the effect of non-normal distribution. A simulation study suggests our approach performs better than the alternative method, the Adaptive Neyman Test by Fan and Lin (1998). The usefulness of our approach is demonstrated with an application in the identification of electronic chips as well as an application to test the change of pattern of precipitations. For the second testing problem, currently numerous statistical methods have been developed for analyzing high-dimensional data. These methods mainly focus on variable selection approach, but are limited for purpose of testing with high-dimensional data, and often are required to have explicit derivative likelihood functions. In this dissertation, we propose ``Hybrid Omnibus Test'' for high-dimensional data testing purpose with much less requirements. Our Hybrid Omnibus Test is developed under semi-parametric framework where likelihood function is no longer necessary. Our Hybrid Omnibus Test is a version of Freqentist-Bayesian hybrid score-type test for a functional generalized partial linear single index model, which has link being functional of predictors through a generalized partially linear single index. We propose an efficient score based on estimating equation to the mathematical difficulty in likelihood derivation and construct our Hybrid Omnibus Test. We compare our approach with a empirical likelihood ratio test and Bayesian inference based on Bayes factor using simulation study in terms of false positive rate and true positive rate. Our simulation results suggest that our approach outperforms in terms of false positive rate, true positive rate, and computation cost in high-dimensional case and low-dimensional case. The advantage of our approach is also demonstrated by published biological results with application to a genetic pathway data of type II diabetes.<br>Ph. D.

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4

Park, Jincheol. "Multivariate non-parametric tests of trend in the presence of missing data." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ58493.pdf.

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Wang, Sejong. "Three nonparametric specification tests for parametric regression models : the kernel estimation approach." Connect to resource, 1994. http://rave.ohiolink.edu/etdc/view.cgi?acc%5Fnum=osu1261492759.

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Chen, Andrew H. (Andrew Hwa-Fen). "Robustness of Parametric and Nonparametric Tests When Distances between Points Change on an Ordinal Measurement Scale." Thesis, University of North Texas, 1994. https://digital.library.unt.edu/ark:/67531/metadc278300/.

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The purpose of this research was to evaluate the effect on parametric and nonparametric tests using ordinal data when the distances between points changed on the measurement scale. The research examined the performance of Type I and Type II error rates using selected parametric and nonparametric tests.

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7

GONÇALVES, JÚNIOR Paulo Mauricio. "Multivariate non-parametric statistical tests to reuse classifiers in recurring concept drifting environments." Universidade Federal de Pernambuco, 2013. https://repositorio.ufpe.br/handle/123456789/12226.

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Data streams are a recent processing model where data arrive continuously, in large quantities, at high speeds, so that they must be processed on-line. Besides that, several private and public institutions store large amounts of data that also must be processed. Traditional batch classi ers are not well suited to handle huge amounts of data for basically two reasons. First, they usually read the available data several times until convergence, which is impractical in this scenario. Second, they imply that the context represented by data is stable in time, which may not be true. In fact, the context change is a common situation in data streams, and is named concept drift. This thesis presents rcd, a framework that o ers an alternative approach to handle data streams that su er from recurring concept drifts. It creates a new classi er to each context found and stores a sample of the data used to build it. When a new concept drift occurs, rcd compares the new context to old ones using a non-parametric multivariate statistical test to verify if both contexts come from the same distribution. If so, the corresponding classi er is reused. If not, a new classi er is generated and stored. Three kinds of tests were performed. One compares the rcd framework with several adaptive algorithms (among single and ensemble approaches) in arti cial and real data sets, among the most used in the concept drift research area, with abrupt and gradual concept drifts. It is observed the ability of the classi ers in representing each context, how they handle concept drift, and training and testing times needed to evaluate the data sets. Results indicate that rcd had similar or better statistical results compared to the other classi ers. In the real-world data sets, rcd presented accuracies close to the best classi er in each data set. Another test compares two statistical tests (knn and Cramer) in their capability in representing and identifying contexts. Tests were performed using adaptive and batch classi ers as base learners of rcd, in arti cial and real-world data sets, with several rates-of-change. Results indicate that, in average, knn had better results compared to the Cramer test, and was also faster. Independently of the test used, rcd had higher accuracy values compared to their respective base learners. It is also presented an improvement in the rcd framework where the statistical tests are performed in parallel through the use of a thread pool. Tests were performed in three processors with di erent numbers of cores. Better results were obtained when there was a high number of detected concept drifts, the bu er size used to represent each data distribution was large, and there was a high test frequency. Even if none of these conditions apply, parallel and sequential execution still have very similar performances. Finally, a comparison between six di erent drift detection methods was also performed, comparing the predictive accuracies, evaluation times, and drift handling, including false alarm and miss detection rates, as well as the average distance to the drift point and its standard deviation.<br>Submitted by João Arthur Martins (joao.arthur@ufpe.br) on 2015-03-12T18:02:08Z No. of bitstreams: 2 Tese Paulo Gonçalves Jr..pdf: 2957463 bytes, checksum: de163caadf10cbd5442e145778865224 (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5)<br>Made available in DSpace on 2015-03-12T18:02:08Z (GMT). No. of bitstreams: 2 Tese Paulo Gonçalves Jr..pdf: 2957463 bytes, checksum: de163caadf10cbd5442e145778865224 (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Previous issue date: 2013-04-23<br>Fluxos de dados s~ao um modelo de processamento de dados recente, onde os dados chegam continuamente, em grandes quantidades, a altas velocidades, de modo que eles devem ser processados em tempo real. Al em disso, v arias institui c~oes p ublicas e privadas armazenam grandes quantidades de dados que tamb em devem ser processadas. Classi cadores tradicionais n~ao s~ao adequados para lidar com grandes quantidades de dados por basicamente duas raz~oes. Primeiro, eles costumam ler os dados dispon veis v arias vezes at e convergirem, o que e impratic avel neste cen ario. Em segundo lugar, eles assumem que o contexto representado por dados e est avel no tempo, o que pode n~ao ser verdadeiro. Na verdade, a mudan ca de contexto e uma situa c~ao comum em uxos de dados, e e chamado de mudan ca de conceito. Esta tese apresenta o rcd, uma estrutura que oferece uma abordagem alternativa para lidar com os uxos de dados que sofrem de mudan cas de conceito recorrentes. Ele cria um novo classi cador para cada contexto encontrado e armazena uma amostra dos dados usados para constru -lo. Quando uma nova mudan ca de conceito ocorre, rcd compara o novo contexto com os antigos, utilizando um teste estat stico n~ao param etrico multivariado para veri car se ambos os contextos prov^em da mesma distribui c~ao. Se assim for, o classi cador correspondente e reutilizado. Se n~ao, um novo classi cador e gerado e armazenado. Tr^es tipos de testes foram realizados. Um compara o rcd com v arios algoritmos adaptativos (entre as abordagens individuais e de agrupamento) em conjuntos de dados arti ciais e reais, entre os mais utilizados na area de pesquisa de mudan ca de conceito, com mudan cas bruscas e graduais. E observada a capacidade dos classi cadores em representar cada contexto, como eles lidam com as mudan cas de conceito e os tempos de treinamento e teste necess arios para avaliar os conjuntos de dados. Os resultados indicam que rcd teve resultados estat sticos semelhantes ou melhores, em compara c~ao com os outros classi cadores. Nos conjuntos de dados do mundo real, rcd apresentou precis~oes pr oximas do melhor classi cador em cada conjunto de dados. Outro teste compara dois testes estat sticos (knn e Cramer) em suas capacidades de representar e identi car contextos. Os testes foram realizados utilizando classi cadores xi xii RESUMO tradicionais e adaptativos como base do rcd, em conjuntos de dados arti ciais e do mundo real, com v arias taxas de varia c~ao. Os resultados indicam que, em m edia, KNN obteve melhores resultados em compara c~ao com o teste de Cramer, al em de ser mais r apido. Independentemente do crit erio utilizado, rcd apresentou valores mais elevados de precis~ao em compara c~ao com seus respectivos classi cadores base. Tamb em e apresentada uma melhoria do rcd onde os testes estat sticos s~ao executadas em paralelo por meio do uso de um pool de threads. Os testes foram realizados em tr^es processadores com diferentes n umeros de n ucleos. Melhores resultados foram obtidos quando houve um elevado n umero de mudan cas de conceito detectadas, o tamanho das amostras utilizadas para representar cada distribui c~ao de dados era grande, e havia uma alta freq u^encia de testes. Mesmo que nenhuma destas condi c~oes se aplicam, a execu c~ao paralela e seq uencial ainda t^em performances muito semelhantes. Finalmente, uma compara c~ao entre seis diferentes m etodos de detec c~ao de mudan ca de conceito tamb em foi realizada, comparando a precis~ao, os tempos de avalia c~ao, manipula c~ao das mudan cas de conceito, incluindo as taxas de falsos positivos e negativos, bem como a m edia da dist^ancia ao ponto de mudan ca e o seu desvio padr~ao.

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8

Gonçalves, Júnior Paulo Mauricio. "Multivariate non-parametric statistical tests to reuse classifiers in recurring concept drifting environments." Universidade Federal de Pernambuco, 2013. https://repositorio.ufpe.br/handle/123456789/12288.

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Data streams are a recent processing model where data arrive continuously, in large quantities, at high speeds, so that they must be processed on-line. Besides that, several private and public institutions store large amounts of data that also must be processed. Traditional batch classi ers are not well suited to handle huge amounts of data for basically two reasons. First, they usually read the available data several times until convergence, which is impractical in this scenario. Second, they imply that the context represented by data is stable in time, which may not be true. In fact, the context change is a common situation in data streams, and is named concept drift. This thesis presents rcd, a framework that o ers an alternative approach to handle data streams that su er from recurring concept drifts. It creates a new classi er to each context found and stores a sample of the data used to build it. When a new concept drift occurs, rcd compares the new context to old ones using a non-parametric multivariate statistical test to verify if both contexts come from the same distribution. If so, the corresponding classi er is reused. If not, a new classi er is generated and stored. Three kinds of tests were performed. One compares the rcd framework with several adaptive algorithms (among single and ensemble approaches) in arti cial and real data sets, among the most used in the concept drift research area, with abrupt and gradual concept drifts. It is observed the ability of the classi ers in representing each context, how they handle concept drift, and training and testing times needed to evaluate the data sets. Results indicate that rcd had similar or better statistical results compared to the other classi ers. In the real-world data sets, rcd presented accuracies close to the best classi er in each data set. Another test compares two statistical tests (knn and Cramer) in their capability in representing and identifying contexts. Tests were performed using adaptive and batch classi ers as base learners of rcd, in arti cial and real-world data sets, with several rates-of-change. Results indicate that, in average, knn had better results compared to the Cramer test, and was also faster. Independently of the test used, rcd had higher accuracy values compared to their respective base learners. It is also presented an improvement in the rcd framework where the statistical tests are performed in parallel through the use of a thread pool. Tests were performed in three processors with di erent numbers of cores. Better results were obtained when there was a high number of detected concept drifts, the bu er size used to represent each data distribution was large, and there was a high test frequency. Even if none of these conditions apply, parallel and sequential execution still have very similar performances. Finally, a comparison between six di erent drift detection methods was also performed, comparing the predictive accuracies, evaluation times, and drift handling, including false alarm and miss detection rates, as well as the average distance to the drift point and its standard deviation.<br>Submitted by João Arthur Martins (joao.arthur@ufpe.br) on 2015-03-12T19:25:11Z No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) tese Paulo Mauricio Gonçalves Jr..pdf: 2957463 bytes, checksum: de163caadf10cbd5442e145778865224 (MD5)<br>Made available in DSpace on 2015-03-12T19:25:11Z (GMT). No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) tese Paulo Mauricio Gonçalves Jr..pdf: 2957463 bytes, checksum: de163caadf10cbd5442e145778865224 (MD5) Previous issue date: 2013-04-23<br>Fluxos de dados s~ao um modelo de processamento de dados recente, onde os dados chegam continuamente, em grandes quantidades, a altas velocidades, de modo que eles devem ser processados em tempo real. Al em disso, v arias institui c~oes p ublicas e privadas armazenam grandes quantidades de dados que tamb em devem ser processadas. Classi cadores tradicionais n~ao s~ao adequados para lidar com grandes quantidades de dados por basicamente duas raz~oes. Primeiro, eles costumam ler os dados dispon veis v arias vezes at e convergirem, o que e impratic avel neste cen ario. Em segundo lugar, eles assumem que o contexto representado por dados e est avel no tempo, o que pode n~ao ser verdadeiro. Na verdade, a mudan ca de contexto e uma situa c~ao comum em uxos de dados, e e chamado de mudan ca de conceito. Esta tese apresenta o rcd, uma estrutura que oferece uma abordagem alternativa para lidar com os uxos de dados que sofrem de mudan cas de conceito recorrentes. Ele cria um novo classi cador para cada contexto encontrado e armazena uma amostra dos dados usados para constru -lo. Quando uma nova mudan ca de conceito ocorre, rcd compara o novo contexto com os antigos, utilizando um teste estat stico n~ao param etrico multivariado para veri car se ambos os contextos prov^em da mesma distribui c~ao. Se assim for, o classi cador correspondente e reutilizado. Se n~ao, um novo classi cador e gerado e armazenado. Tr^es tipos de testes foram realizados. Um compara o rcd com v arios algoritmos adaptativos (entre as abordagens individuais e de agrupamento) em conjuntos de dados arti ciais e reais, entre os mais utilizados na area de pesquisa de mudan ca de conceito, com mudan cas bruscas e graduais. E observada a capacidade dos classi cadores em representar cada contexto, como eles lidam com as mudan cas de conceito e os tempos de treinamento e teste necess arios para avaliar os conjuntos de dados. Os resultados indicam que rcd teve resultados estat sticos semelhantes ou melhores, em compara c~ao com os outros classi cadores. Nos conjuntos de dados do mundo real, rcd apresentou precis~oes pr oximas do melhor classi cador em cada conjunto de dados. Outro teste compara dois testes estat sticos (knn e Cramer) em suas capacidades de representar e identi car contextos. Os testes foram realizados utilizando classi cadores tradicionais e adaptativos como base do rcd, em conjuntos de dados arti ciais e do mundo real, com v arias taxas de varia c~ao. Os resultados indicam que, em m edia, KNN obteve melhores resultados em compara c~ao com o teste de Cramer, al em de ser mais r apido. Independentemente do crit erio utilizado, rcd apresentou valores mais elevados de precis~ao em compara c~ao com seus respectivos classi cadores base. Tamb em e apresentada uma melhoria do rcd onde os testes estat sticos s~ao executadas em paralelo por meio do uso de um pool de threads. Os testes foram realizados em tr^es processadores com diferentes n umeros de n ucleos. Melhores resultados foram obtidos quando houve um elevado n umero de mudan cas de conceito detectadas, o tamanho das amostras utilizadas para representar cada distribui c~ao de dados era grande, e havia uma alta freq u^encia de testes. Mesmo que nenhuma destas condi c~oes se aplicam, a execu c~ao paralela e seq uencial ainda t^em performances muito semelhantes. Finalmente, uma compara c~ao entre seis diferentes m etodos de detec c~ao de mudan ca de conceito tamb em foi realizada, comparando a precis~ao, os tempos de avalia c~ao, manipula c~ao das mudan cas de conceito, incluindo as taxas de falsos positivos e negativos, bem como a m edia da dist^ancia ao ponto de mudan ca e o seu desvio padr~ao.

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Woo, Pao-sun. "Parametric inference for time series based upon goodness-of-fit /." Hong Kong : University of Hong Kong, 2001. http://sunzi.lib.hku.hk/hkuto/record.jsp?B23472613.

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胡寶璇 and Pao-sun Woo. "Parametric inference for time series based upon goodness-of-fit." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B31226929.

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Books on the topic "Parametric tests"

1

Bagdonavičius, Vilijandas, Kruopis Julius, and Mikhail S. Nikulin. Non-parametric Tests for Complete Data. John Wiley & Sons, Inc, 2011. http://dx.doi.org/10.1002/9781118557716.

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Bagdonavičius, Vilijandas, Julius Kruopis, and Mikhail S. Nikulin. Non-parametric Tests for Censored Data. John Wiley & Sons, Inc, 2011. http://dx.doi.org/10.1002/9781118558072.

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Permutation, parametric and bootstrap tests of hypotheses. 3rd ed. Springer, 2005.

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Fernandes, Marcelo. Non-parametric specification tests for conditional duration models. European University Institute, 2000.

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Fernandes, Marcelo. Non-parametric specification tests for conditional duration models. European University Institute, 2000.

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Cataldo, Robert L. Parametric and cycle tests of a 40-A-hr bipolar nickel-hydrogen battery. National Aeronautics and Space Administration, 1986.

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Luger, Richard. Exact non-parametric tests for a random walk with unknown drift under conditional heteroscedasticity. Bank of Canada, 2001.

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Luger, Richard. Exact non-parametric tests for a random walk with unknown drift under conditional heteroscedasticity. Bank of Canada, 2001.

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Wickens, M. R. Non-parametric estimates of the foreign exchange and equity risk premia and tests of market efficiency. University of Southampton, Dept.of Economics, 1989.

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Old Dominion University. Research Foundation. and Langley Research Center, eds. Experimental parametric study of jet vortex generators for flow separation control. Old Dominion University Research Foundation, 1991.

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Book chapters on the topic "Parametric tests"

1

Vimal, Mourouguessine, Vinayagamoorthy Venugopal, and Nishanthi Anandabaskar. "Parametric Tests." In Introduction to Basics of Pharmacology and Toxicology. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5343-9_61.

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Stewart, Antony. "Parametric and non- parametric tests." In Basic Statistics and Epidemiology, 5th ed. CRC Press, 2022. http://dx.doi.org/10.1201/9781003148111-17.

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Clark-Carter, David. "Parametric and non-parametric tests." In Quantitative Psychological Research. Routledge, 2018. http://dx.doi.org/10.4324/9781315398143-18.

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Cleophas, Ton J., and Aeilko H. Zwinderman. "Non-Parametric Tests." In Statistical Analysis of Clinical Data on a Pocket Calculator. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1211-9_4.

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Marchevsky, David. "Non-Parametric Tests." In Critical Appraisal of Medical Literature. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4205-6_27.

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Tilak, Amod, and Avinash Arivazhahan. "Non-parametric Tests." In Introduction to Basics of Pharmacology and Toxicology. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5343-9_62.

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Mat Roni, Saiyidi, and Hadrian Geri Djajadikerta. "Non-Parametric Tests." In Data Analysis with SPSS for Survey-based Research. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0193-4_10.

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Ryan, Christian. "Non-parametric Tests." In Data Science with R for Psychologists and Healthcare Professionals. CRC Press, 2021. http://dx.doi.org/10.1201/9781003106845-21.

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Almonroeder, Thomas Gus. "Non-parametric tests." In Advanced Statistics for Physical and Occupational Therapy. Routledge, 2022. http://dx.doi.org/10.4324/9781003179757-12.

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Rees, D. G. "Non-parametric hypothesis tests." In Essential Statistics. Springer US, 1989. http://dx.doi.org/10.1007/978-1-4899-7260-6_11.

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Conference papers on the topic "Parametric tests"

1

Singer, P. F. "The fusion of parametric and non-parametric hypothesis tests." In Proceedings of the Sixth International Conference of Information Fusion. IEEE, 2003. http://dx.doi.org/10.1109/icif.2003.177318.

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Araya, Samuel Simon, Søren Juhl Andreasen, and Søren Knudsen Kær. "Parametric Sensitivity Tests — European PEM Fuel Cell Stack Test Procedures." In ASME 2014 12th International Conference on Fuel Cell Science, Engineering and Technology collocated with the ASME 2014 8th International Conference on Energy Sustainability. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/fuelcell2014-6378.

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As fuel cells are increasingly commercialized for various applications, harmonized and industry-relevant test procedures are necessary to benchmark tests and to ensure comparability of stack performance results from different parties. This paper reports the results of parametric sensitivity tests performed based on test procedures proposed by a European project, Stack-Test. The sensitivity of a Nafion-based low temperature PEMFC stack’s performance to parametric changes was the main objective of the tests. Four crucial parameters for fuel cell operation were chosen; relative humidity, temperature, pressure, and stoichiometry at varying current density. Furthermore, procedures for polarization curve recording were also tested both in ascending and descending current directions.

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Roizner, Federico, Daniella E. Raveh, and Moti Karpel. "Safe Flutter Tests Using Parametric Flutter Margins." In 2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. American Institute of Aeronautics and Astronautics, 2018. http://dx.doi.org/10.2514/6.2018-0701.

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Sohn, Kwang, Hongbin Li, and Braham Himed. "Recursive Parametric Tests for Multichannel Adaptive Signal Detection." In 2006 IEEE 12th Digital Signal Processing Workshop & 4th IEEE Signal Processing Education Workshop. IEEE, 2006. http://dx.doi.org/10.1109/dspws.2006.265474.

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Voland, Randall, and Kenneth Rock. "NASP Concept Demonstration Engine and Subscale Parametric Engine tests." In International Aerospace Planes and Hypersonics Technologies. American Institute of Aeronautics and Astronautics, 1995. http://dx.doi.org/10.2514/6.1995-6055.

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Gallois, Stéphane, Alain Alexis, and Pierre Thomas. "Settling Columns Parametric Tests Applied to Coastal Sediment Consolidation." In 24th International Conference on Coastal Engineering. American Society of Civil Engineers, 1995. http://dx.doi.org/10.1061/9780784400890.146.

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ROY, SISIR, DHRUBAJIT DATTA, JOYDIP GHOSH, MALABIKA ROY, and MENAS KAFATOS. "NON-PARAMETRIC TESTS FOR QUASAR DATA AND HUBBLE DIAGRAM." In Proceedings of the 6th International Workshop on Data Analysis in Astronomy “Livio Scarsi”. WORLD SCIENTIFIC, 2007. http://dx.doi.org/10.1142/9789812779458_0012.

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Akkouche, Nourredine, Salvador Mir, and Emmanuel Simeu. "Ordering of analog specification tests based on parametric defect level estimation." In 2010 28th VLSI Test Symposium (VTS). IEEE, 2010. http://dx.doi.org/10.1109/vts.2010.5469546.

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R, Shekhar, and Seetharaman K. "Color Image Retrieval Based on Non-Parametric Statistical Tests of Hypothesis." In First International Conference on Computer Science & Information Technology. Academy & Industry Research Collaboration Center (AIRCC), 2014. http://dx.doi.org/10.5121/csit.2014.4912.

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Colalillo, Ricardo, and Carlos Alberto Nunes Dias. "Parametric Modelling of Steel Car Wheels for Finite Element Virtual Fatigue Tests." In SAE Brasil International Conference on Fatigue. SAE International, 2001. http://dx.doi.org/10.4271/2001-01-4055.

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Reports on the topic "Parametric tests"

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Banzhaf, H. Spencer, Yaqin Liu, Martin Smith, and Frank Asche. Non-Parametric Tests of the Tragedy of the Commons. National Bureau of Economic Research, 2019. http://dx.doi.org/10.3386/w26398.

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Wilhelm, Daniel, and Susanne M. Schennach. A simple parametric model selection test. The IFS, 2014. http://dx.doi.org/10.1920/wp.cem.2014.1014.

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Wilhelm, Daniel, and Susanne M. Schennach. A simple parametric model selection test. IFS, 2016. http://dx.doi.org/10.1920/wp.cem.2016.3016.

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Law, C. H., and Steven L. Puterbaugh. Parametric Blade Study Test Report Rotor Configuration. Number 1. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/adb128860.

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Fauske, H. K. Summary report on parametric pressure propagation test T0127-1. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10177836.

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Woodland, A. B., J. K. Bates, and T. J. Gerding. Parametric effects on glass reaction in the unsaturated test method. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/138367.

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Heath, Bradley. Parametric Thermal Models of the Transient Reactor Test Facility (TREAT). Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1164846.

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Pavlovitchev, A. M., S. A. Bychkov, A. A. Lazarenko, V. D. Sidorenko, and Y. A. Styrin. Results of Parametric Design Studies of MOX Lead Test Assembly. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/2690.

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Aleshin, A. A., S. N. Bolshagin, N. A. Bychkova, A. M. Pavlovitchev, Y. A. Styrin, and M. Y. Tomilov. Results of Parametric Design Studies of VVER-1000 Core with MOX Lead Test Assemblies. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/3121.

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Lv, Qiuping, Darius Lisowski, Matthew Jasica, et al. Report on Year-3 of Water NSTF Matrix Testing: Two-Phase Parametric Test Series. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1828379.

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