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Academic literature on the topic 'Chi square tests'

Author: Grafiati

Published: 4 June 2021

Last updated: 5 February 2022

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Journal articles on the topic "Chi square tests"

1

Ingster, Yu I. "Adaptive chi-square tests." Journal of Mathematical Sciences 99, no. 2 (April 2000): 1110–19. http://dx.doi.org/10.1007/bf02673632.

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Nihan, Sölpük Turhan. "Karl Pearsons chi-square tests." Educational Research and Reviews 15, no. 9 (September 30, 2020): 575–80. http://dx.doi.org/10.5897/err2019.3817.

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Nowacki, Amy. "Chi-square and Fisher’s exact tests." Cleveland Clinic Journal of Medicine 84, no. 9 suppl 2 (September 2017): e20-e25. http://dx.doi.org/10.3949/ccjm.84.s2.04.

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MaCurdy, Thomas E., and Keunkwan Ryu. "Equivalence results in chi-square tests." Economics Letters 80, no. 3 (September 2003): 329–36. http://dx.doi.org/10.1016/s0165-1765(03)00124-1.

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Schober, Patrick, and Thomas R. Vetter. "Chi-square Tests in Medical Research." Anesthesia & Analgesia 129, no. 5 (November 2019): 1193. http://dx.doi.org/10.1213/ane.0000000000004410.

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Ermakov, M. S. "Asymptotic Minimaxity of Chi-Square Tests." Theory of Probability & Its Applications 42, no. 4 (January 1998): 589–610. http://dx.doi.org/10.1137/s0040585x97976441.

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Gagunashvili, N. D. "Chi-square tests for comparing weighted histograms." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 614, no. 2 (March 2010): 287–96. http://dx.doi.org/10.1016/j.nima.2009.12.037.

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Andrews, Donald W. K. "Chi-square diagnostic tests for econometric models." Journal of Econometrics 37, no. 1 (January 1988): 135–56. http://dx.doi.org/10.1016/0304-4076(88)90079-6.

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Greenwood, P., and M. S. Nikulin. "Application of tests of chi-square type." Journal of Soviet Mathematics 43, no. 6 (December 1988): 2776–91. http://dx.doi.org/10.1007/bf01129892.

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Robin, Jean-Marc, and Richard J. Smith. "TESTS OF RANK." Econometric Theory 16, no. 2 (April 2000): 151–75. http://dx.doi.org/10.1017/s0266466600162012.

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This paper considers tests for the rank of a matrix for which a root-T consistent estimator is available. However, in contrast to tests associated with the minimum chi-square and asymptotic least squares principles, the estimator's asymptotic variance matrix is not required to be either full or of known rank. Test statistics based on certain estimated characteristic roots are proposed whose limiting distributions are a weighted sum of independent chi-squared variables. These weights may be simply estimated, yielding convenient estimators for the limiting distributions of the proposed statistics. A sequential testing procedure is presented that yields a consistent estimator for the rank of a matrix. A simulation experiment is conducted comparing the characteristic root statistics advocated in this paper with statistics based on the Wald and asymptotic least squares principles.

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Dissertations / Theses on the topic "Chi square tests"

1

Roberts, Georgia Ruth Carleton University Dissertation Psychology. "Contributions to chi-squared tests with survey data." Ottawa, 1985.

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De, Champlain André F. "Assessing test dimensionality using two approximate chi-square statistics." Thesis, University of Ottawa (Canada), 1992. http://hdl.handle.net/10393/7848.

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Mullen, Jerry D. (Jerry Davis). "A Comparison of Some Continuity Corrections for the Chi-Squared Test in 3 x 3, 3 x 4, and 3 x 5 Tables." Thesis, North Texas State University, 1987. https://digital.library.unt.edu/ark:/67531/metadc331001/.

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This study was designed to determine whether chis-quared based tests for independence give reliable estimates (as compared to the exact values provided by Fisher's exact probabilities test) of the probability of a relationship between the variables in 3 X 3, 3 X 4 , and 3 X 5 contingency tables when the sample size is 10, 20, or 30. In addition to the classical (uncorrected) chi-squared test, four methods for continuity correction were compared to Fisher's exact probabilities test. The four methods were Yates' correction, two corrections attributed to Cochran, and Mantel's correction. The study was modeled after a similar comparison conducted on 2 X 2 contingency tables and published by Michael Haber.

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Pang, Xiao L. "Assessing the performance of the approximate chi-square and Stout's T statistics with different test structures." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0010/NQ52277.pdf.

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Brace, Jordan. "Type I error rates and power of robust chi-square difference tests in investigations of measurement invariance." Thesis, University of British Columbia, 2015. http://hdl.handle.net/2429/54538.

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A Monte Carlo simulation study was conducted to investigate Type I error rates and power of several corrections for non-normality to the normal theory chi-square difference test in the context of evaluating measurement invariance via Structural Equation Modeling (SEM). Studied statistics include: 1) the uncorrected difference test, DML, 2) Satorra’s (2000) original computationally intensive correction, DS0, 3) Satorra and Bentler’s (2001) simplified correction, DSB1, 4) Satorra and Bentler’s (2010) strictly positive correction, DSB10, and 5) a hybrid procedure, DSBH (Asparouhov & Muthén, 2010), which is equal to DSB1 when DSB1 is positive, and DSB10 when DSB1 is negative. Multiple-group data were generated from confirmatory factor analytic models invariant on some but not all parameters. A series of six nested invariance models was fit to each generated dataset. Population parameter values had little influence on the relative performance of the scaled statistics, while level of invariance being tested did. DS0 was found to over-reject in many Type I error conditions, and it is suspected that high observed rejection rates in power conditions are due to a general positive bias. DSB1 generally performed well in Type I error conditions, but severely under-rejected in power conditions. DSB10 performed reasonably well and consistently in both Type I error and power conditions. We recommend that researchers use the strictly positive corrected difference test, DSB10, to evaluate measurement invariance when data are not normally distributed.
Arts, Faculty of
Psychology, Department of
Graduate

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Chuang, Jenny. "Investigation of Type I error rates of three versions of robust chi-square difference tests in structural equation modeling." Thesis, University of British Columbia, 2013. http://hdl.handle.net/2429/44856.

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A Monte Carlo simulation was conducted to investigate the Type I error rates of several versions of chi-square difference tests for nonnormal data in confirmatory factor analysis (CFA) models. The studied statistics include: 1) the original uncorrected difference test, D, obtained by taking the difference of the ML chi-squares for the respective models; 2) the original robust difference test, DR₁, due to Satorra and Bentler (2001); 3) the recent modification to this test, DR₂, which ensures that the statistic remains positive (Satorra & Bentler, 2010); and 4) a hybrid statistic, DH, proposed by Asparouhov and Muthén (2010), which is equal to DR₁ when DR₁ > 0, and otherwise is equal to DR₁. Types of constraints studied included constraining factor correlations to 0, constraining factor correlations to 1, and constraining factor loadings to equal each other within or across factors. An interesting finding was that the uncorrected test appeared to be robust to nonnormality when the constraint was setting factor correlations to zero. The robust tests performed well and similarly to each other in many conditions. The new strictly positive test, DR₂ exhibited slightly inflated rejection rates in conditions that involved constraining factor loadings, while DR₁ and DH exhibited rejection rates slightly below nominal in conditions that involved constraining factor correlations or factor loadings. While more research is needed on the new strictly positive test, the original robust difference test or the hybrid procedure are tentatively recommended.

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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.

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The relative power of goodness-of-fit test statistics has long been debated in the literature. Chi-Square type test statistics to determine 'fit' for categorical data are still dominant in the goodness-of-fit arena. Empirical Distribution Function type goodness-of-fit test statistics are known to be relatively more powerful than Chi-Square type test statistics for restricted types of null and alternative distributions. In many practical applications researchers who use a standard Chi-Square type goodness-of-fit test statistic ignore the rank of ordinal classes. This thesis reviews literature in the goodness-of-fit field, with major emphasis on categorical goodness-of-fit tests. The continued use of an asymptotic distribution to approximate the exact distribution of categorical goodness-of-fit test statistics is discouraged. It is unlikely that an asymptotic distribution will produce a more accurate estimation of the exact distribution of a goodness-of-fit test statistic than a Monte Carlo approximation with a large number of simulations. Due to their relatively higher powers for restricted types of null and alternative distributions, several authors recommend the use of Empirical Distribution Function test statistics over nominal goodness-of-fit test statistics such as Pearson's Chi-Square. In-depth power studies confirm the views of other authors that categorical Empirical Distribution Function type test statistics do not have higher power for some common null and alternative distributions. Because of this, it is not sensible to make a conclusive recommendation to always use an Empirical Distribution Function type test statistic instead of a nominal goodness-of-fit test statistic. Traditionally the recommendation to determine 'fit' for multivariate categorical data is to treat categories as nominal, an approach which precludes any gain in power which may accrue from a ranking, should one or more variables be ordinal. The presence of multiple criteria through multivariate data may result in partially ordered categories, some of which have equal ranking. This thesis proposes a modification to the currently available Kolmogorov-Smirnov test statistics for ordinal and nominal categorical data to account for situations of partially ordered categories. The new test statistic, called the Combined Kolmogorov-Smirnov, is relatively more powerful than Pearson's Chi-Square and the nominal Kolmogorov-Smirnov test statistic for some null and alternative distributions. A recommendation is made to use the new test statistic with higher power in situations where some benefit can be achieved by incorporating an Empirical Distribution Function approach, but the data lack a complete natural ordering of categories. The new and established categorical goodness-of-fit test statistics are demonstrated in the analysis of categorical data with brief applications as diverse as familiarity of defence programs, the number of recruits produced by the Merlin bird, a demographic problem, and DNA profiling of genotypes. The results from these applications confirm the recommendations associated with specific goodness-of-fit test statistics throughout this thesis.

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Boulet, 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.

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The present paper demonstrates how Structural Equation Modelling (SEM) can be used to formulate a test of the difference in means between groups on a number of dependent variables. A Monte Carlo study compared the Type I error rates of the Likelihood Ratio (LR) Chi-square ($\chi\sp2$) statistic (SEM test criterion) and Hotelling's two-sample T$\sp2$ statistic (MANOVA test criterion) in detecting differences in means between two independent samples. Seventy-two conditions pertaining to average sample size ((n$\sb1$ + n$\sb2$)/2), extent of inequality of sample sizes (n$\sb1$:n$\sb2$), number of variables (p), and degree of inequality of variance-covariance matrices ($\Sigma\sb1$:$\Sigma\sb2$) were modelled. Empirical sampling distributions of the LR $\chi\sp2$ statistic and Hotelling's T$\sp2$ statistic consisted fo 2000 samples drawn from multivariate normal parent populations. The actual proportion of values that exceeded the nominal levels are presented. The results indicated that, in terms of maintaining Type I error rates that were close to the nominal levels, the LR $\chi\sp2$ statistic and Hotelling's T$\sp2$ statistic were comparable when $\Sigma\sb1$ = $\Sigma\sb2$ and (n$\sb1$ + n$\sb2$)/2:p was relatively large (i.e., 30:1). However, when $\Sigma\sb1$ = $\Sigma\sb2$ and (n$\sb1$ + n$\sb2$)/2:p was small (i.e., 10:1) Hotelling's T$\sp2$ statistic was preferred. When $\Sigma\sb{1} \not=\Sigma\sb2$ the LR $\chi\sp2$ statistic provided more appropriate Type I error rates under all of the simulated conditions. The results are related to earlier findings, and implications for the appropriate use of the SEM method of testing for group mean differences are noted.

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Munasinghe, Wijith Prasantha. "Cluster-based lack of fit tests for nonlinear regression models." Diss., Manhattan, Kan. : Kansas State University, 2010. http://hdl.handle.net/2097/2366.

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Mbabu, Loyd G. "A CONTENT ANALYSIS OF INFORMATION LITERACY COURSES IN MASTER’S DEGREE PROGRAMS OF LIBRARY AND INFORMATION STUDIES." Ohio University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1178045906.

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Books on the topic "Chi square tests"

1

Drost, Feike Cornelis. Asymptotics for generalized chi-square goodness-of-fit tests. Amsterdam: Centrum voor Wiskunde en Informatica, 1988.

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Greenwood, P. E. A guide to chi-squared testing. New York: Wiley, 1996.

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Graham, G. The chi-square method to test the normality of the distribution of time and magnitude residuals of the South African National Seismological Network. Pretoria: Geological Survey, Dept. of Mineral and Energy Affairs, Republic of South Africa, 1987.

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Nikulin, Mikhail S., and Ekaterina V. Chimitova. Chi-squared Goodness-of-fit Tests for Censored Data. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119427605.

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Srivastava, M. S. Comparison of approximate saddlepoint and saddlepoint method with Edgeworth expansion. Toronto: University of Toronto, Dept. of Statistics, 1987.

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Yau, Wai Kwok. Approximation of tail probability of a linear combination of noncentral chi-squares by saddlepoint method. Toronto: University of Toronto, Dept. of Statistics, 1988.

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Böhning, Dankmar. On minimizing chi-square distances under the hypothesis of homogeneity of independence for a two-way contingency table. Osnabrück: Fachbereich Psychologie, Universität Osnabrück, 1985.

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Stewart, Connie, and Rose McCloskey. Learn to Use the Chi-Square Homogeneity Test in Minitab With Data From a 2015 Health Care Observational Study. 1 Oliver's Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526488237.

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Dolfi, Anna, ed. Notturni e musica nella poesia moderna. Florence: Firenze University Press, 2019. http://dx.doi.org/10.36253/978-88-6453-803-7.

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Che cos’è la notte? Come definirla e segnarne i limiti? È più o è meno mobile lo sguardo di chi la fissa; persiste nella notte la funzione cornice? In che modo la difficoltà di vedere favorisce l’invenzione artistica, l’interrogazione sull’infinito e la morte, i quesiti sull’immaginario, il sogno, il ricordo, l’oblio? Da domande come queste è partita Anna Dolfi nell’ideare un libro di grande novità e suggestione che, tra notturni e musica, si chiede come la letteratura, la pittura, il cinema, l’opera lirica, le tradizioni popolari, le canzoni, abbiano parlato di cecità e di visione, di ossessione e paura, di notti «tenere», disperate, sublimi, misteriose, mistiche, di notti di ‘malattia’, di notti riparatrici, di notti bianche e di notti insonni, quando il tentativo è resistere creando, per sfidare l’approssimarsi dell’alba. L’icona della mozartiana Regina della notte, assieme a quella di un Pierrot schönberghiano, ha accompagnato come in controluce una cinquantina di studiosi e giovani ricercatori italiani e stranieri che, partendo dal Settecento, dai canti di Ossian, lungo un percorso notturno europeo sostenuto da teorici (Nietzsche, Bachelard, Jankélévitch…) e musica (Mozart, Chopin, Schubert, Schumann, Fauré, Debussy, Britten…), hanno lavorato su Novalis, Hölderlin, il Romanticismo tedesco, Rilke, Celan, Müller, Hugo, Chenier, Baudelaire, Proust, Cocteau, Bonnefoy…, declinando i notturni italiani dalle elegie cimiteriali di Pindemonte a Leopardi, Di Giacomo, D’Annunzio, Onofri, Campana, Saba, Ungaretti, Sbarbaro, Montale, Penna, Pavese, Gatto, Caproni, Luzi, Bigongiari, Fortini, Jacobbi, Ripellino, Pasolini, Giudici, Rosselli, Sanguineti, De Signoribus, la Anedda, Magrelli… Aperto da testi inediti portoghesi di Ruggero Jacobbi, da versi e traduzioni di De Signoribus e di Vegliante, il volume, dalla notte di Donizetti arriva a quella dei cantautori (De Gregori, Dalla…), spingendosi al limite di notturni elettrici che rivelano in poesia gli squarci urbani di una tormentata società tra fi ne secolo e inizio millennio.

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Chisquared Goodness Of Fit Tests With Applications. Elsevier Science Publishing Co Inc, 2012.

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Book chapters on the topic "Chi square tests"

1

Wuensch, Karl L. "Chi-Square Tests." In International Encyclopedia of Statistical Science, 252–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-04898-2_173.

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Cleophas, Ton J., and Aeilko H. Zwinderman. "Chi-square Tests." In Clinical Data Analysis on a Pocket Calculator, 215–19. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27104-0_38.

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Gooch, Jan W. "Chi-square Tests." In Encyclopedic Dictionary of Polymers, 974–75. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_15179.

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Pace, Larry. "Chi-Square Tests." In Beginning R, 217–28. Berkeley, CA: Apress, 2012. http://dx.doi.org/10.1007/978-1-4302-4555-1_15.

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Ashcroft, Stephen, and Chris Pereira. "The Chi-square tests." In Practical Statistics for the Biological Sciences, 133–42. London: Macmillan Education UK, 2003. http://dx.doi.org/10.1007/978-1-137-04085-5_15.

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Ferguson, Thomas S. "General Chi-Square Tests." In A Course in Large Sample Theory, 163–71. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4899-4549-5_24.

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Salsburg, David S. "Neyman’s Restricted Chi Square Tests." In The Use of Restricted Significance Tests in Clinical Trials, 97–103. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-4414-1_10.

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Taylor, Sonia. "Contingency tables and chi-square tests." In Business Statistics for non-mathematicians, 212–26. London: Macmillan Education UK, 2007. http://dx.doi.org/10.1057/978-0-230-20685-4_10.

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Holcomb, Zealure C., and Keith S. Cox. "Chi-Square and Post Hoc Tests." In Interpreting Basic Statistics, 204–6. Eighth edition. | New York, NY : Routledge, 2018.: Routledge, 2017. http://dx.doi.org/10.4324/9781315225647-64.

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Cleophas, Ton J., and Aeilko H. Zwinderman. "Chi-Square Tests for Cross-Tabs." In Statistical Analysis of Clinical Data on a Pocket Calculator, 31–34. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1211-9_11.

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Conference papers on the topic "Chi square tests"

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Vardasbi, Ali, Mahmoud Salmasizadeh, and Javad Mohajeri. "Multiple-chi-square tests and their application on distinguishing attacks." In 2011 8th International ISC Conference on Information Security and Cryptology (ISCISC). IEEE, 2011. http://dx.doi.org/10.1109/iscisc.2011.6062336.

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Lemeshko, S. B. "Distribution of Statistics of Chi-Square Goodness-of-Fit Tests for Small Samples." In 2006 8th International Conference on Actual Problems of Electronic Instrument Engineering. IEEE, 2006. http://dx.doi.org/10.1109/apeie.2006.4292559.

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Kang, Ju-Sung, Hojoong Park, and Yongjin Yeom. "On the Additional Chi-Square Tests for the IID Assumption of NIST SP 800-90B." In 2017 15th Annual Conference on Privacy, Security and Trust (PST). IEEE, 2017. http://dx.doi.org/10.1109/pst.2017.00051.

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Choukri, Karim, and Eric Moulines. "General class of chi-square statistics for goodness-of-fit tests for stationary time series." In SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, edited by Franklin T. Luk. SPIE, 1994. http://dx.doi.org/10.1117/12.190833.

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Utami, Siska Putri, Yanti Harjono Hadiwiardjo, and Kristina Simanjuntak. "The Relationship of Ability to Pay and Ownership of Health Insurance towards Willingness to Pay Laboratory Services at Persahabatan Hospital, East Jakarta." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.04.18.

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ABSTRACT Background: Limited cost of health services, especially in laboratory tests for diagnoses, causes doctors to consider patient’s willingness to pay so the costs are spent more efficiently. Some factors which supposedly affect the willingness to pay are ability to pay and health insurance ownership. This study aims to know the relationship between ability to pay and health insurance ownership with the willingness to pay for laboratory services in outpatients at RSUP Persahabatan. Method: This research was an analytical observational research with cross-sectional design. Samples consisted of 70 outpatients at RSUP Persahabatan laboratory collected by consecutive sampling. The dependent variable is willingness to pay and the independent variable are the ability to pay and insurance ownership measured using a questionnaire. The data was analyzed by Chi-square. Results: Chi-square test results showed relationship between the ability to pay and the willingness to pay for laboratory health services (OR= 13.14; 95% CI= 2.76 to 62.49; p< 0.001). There was no relationship between health insurance ownership and the willingness to pay for laboratory health services (OR= 2.82; 95% CI= 0.85 to 9.33; p= 0.083). Conclusion: High ability to pay will lead to high willingness to pay, since their need for food has been met and they will shift to the need for health. The health insurance ownership does not affect the willingness of patients in paying laboratory service. Keywords: Ability to Pay, Health Insurance, Hospital, Laboratory Services, Willingness to Pay. Correspondence: Siska Putri Utami. Medicine Study Program, Medicine Study Program, Faculty of Medicine, UPN “Veteran” Jakart. Jl. RS. Fatmawati Raya, Pd. Labu, Cilandak district, Depok, West Java, 12450. Email: Thesiska07@gmail.com. Phone: (021) 7656971 DOI: https://doi.org/10.26911/the7thicph.04.18

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Karanja, Erastus, Donna M. Grant, Shinetta Freeman, and David Anyiwo. "Entry Level Systems Analysts: What Does the Industry Want?" In InSITE 2016: Informing Science + IT Education Conferences: Lithuania. Informing Science Institute, 2016. http://dx.doi.org/10.28945/3499.

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This study investigates the skill sets necessary for entry level systems analysts. Towards this end, the study combines two sources of data, namely, a content analysis of 200 systems analysts’ online job advertisements and a survey of 20 senior Information Systems (IS) professionals. Based on Chi-square tests, the results reveal that most employers prefer entry level systems analysts with an undergraduate Computer Science degree. Furthermore, most of the employers prefer entry level systems analysts to have some years of experience as well as industry certifications. The results also reveal that there is a higher preference for entry level systems analysts who have non-technical and people skills (e.g., problem solving and oral communication). The empirical results from this study will inform IS educators as they develop future systems analysts. Additionally, the results will be useful to the aspiring systems analysts who need to make sure that they have the necessary job skills before graduating and entering the labor market.

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Farrow, Emily, Junbo Li, Farhan Zaki, and Ashwin Lall. "Accessible Streaming Algorithms for the Chi-Square Test." In SSDBM 2020: 32nd International Conference on Scientific and Statistical Database Management. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3400903.3400905.

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Pathak, Soumi. "Changing trends in coagulation profile of 30 patients undergoing CRS with HIPEC in the peri-operative period." In 16th Annual International Conference RGCON. Thieme Medical and Scientific Publishers Private Ltd., 2016. http://dx.doi.org/10.1055/s-0039-1685386.

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Background: With advent of surgical advancements like HIPEC several unstudied pathophysiological aspects need to be evaluated. We studied the trends in coagulation profile in patients undergoing CRS with HIPEC in the peri-operative period, utilizing Thromboelastography (TEG) in comparison with standard coagulation tests. The utility of TEG as a guide for transfusion of blood products was also evaluated. Materials and Methods: It was a Prospective observational Cohort study which included 30 consecutive patients undergoing CRS with HIPEC at RGCI in 2015. Methodology: Preoperatively standard coagulation tests were done as a baseline. Intra-operative arterial blood samples were collected for ABG, PT, APTT, and TEG at following time points: before starting of HIPEC, after completion of HIPEC and on 1 and 2 postoperative days. Statistical analysis was done using Chi-square test and unpaired t-test for categorical and continuous variables. Pearson’s correlation coefficient was calculated for analysing the correlation between the variables. P < 0.05 was considered statistically significant. Results: A strong correlation was observed between PT & R values of TEG. Similar correlation was also observed between the α angle, MA of TEG and platelet count throughout the peri-operative period. Immediately post HIPEC, we observe value of APPT decreases while the other parameters of coagulation profile showed a rising trend. R value showed rising trend after CRS, a dip after HIPEC followed by a rising trend on first post operative day which normalizes only after second post operative day. It gives a mixed picture of both hypo and hyper coagulable state. α angle, MA rise immediately after HIPEC and continue to rise till the second postoperative day. There was no requirement of transfusion of blood and blood products as guided by the TEG findings and no clinical evidence of any bleeding or thromboembolic episode occurred. Conclusion: To conclude, our study demonstrated TEG to be a useful and comprehensive tool to assess coagulopathy and accordingly guide blood product transfusion in patients undergoing CRS with HIPEC.

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Zhiyong, Cai, Shen Ying, and Shen Changxiang. "Detection of Insertional Covert Channels Using Chi-square Test." In 2009 International Conference on Multimedia Information Networking and Security. IEEE, 2009. http://dx.doi.org/10.1109/mines.2009.296.

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Rajput, Saeed A., A. S. Pandya, S. Saxena, and Steve Ostroff. "Evaluating mobile phone handoff behavior using chi-square statistical test." In Southeastcon 2008. IEEE, 2008. http://dx.doi.org/10.1109/secon.2008.4494322.

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Reports on the topic "Chi square tests"

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Bakewell, Margaret, and Patricia Wittkopp. Basic Probability and Chi-Squared Tests. Genetics Society of America Peer-Reviewed Education Portal (GSA PREP), November 2013. http://dx.doi.org/10.1534/gsaprep.2013.005.

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Conover, W. J., D. D. Cox, and H. F. Martz. A chi-square goodness-of-fit test for non-identically distributed random variables: with application to empirical Bayes. Office of Scientific and Technical Information (OSTI), December 1997. http://dx.doi.org/10.2172/645488.

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Hydrocarbon Extracts From Core Chip Samples: Ivishak Unit #1, Susie #1, Gubik Test #2, Square Lake Test Well #1. Alaska Division of Geological & Geophysical Surveys, June 2009. http://dx.doi.org/10.14509/20281.

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