Academic literature on the topic 'ANOVA (Analysis of variance)'

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Journal articles on the topic "ANOVA (Analysis of variance)"

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St»hle, Lars, and Svante Wold. "Analysis of variance (ANOVA)." Chemometrics and Intelligent Laboratory Systems 6, no. 4 (1989): 259–72. http://dx.doi.org/10.1016/0169-7439(89)80095-4.

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Thompson, Hilary W., Robertino Mera, and Chandan Prasad. "The Analysis of Variance (ANOVA)." Nutritional Neuroscience 2, no. 1 (1999): 43–55. http://dx.doi.org/10.1080/1028415x.1999.11747262.

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Maxwell, Scott E., Harold D. Delaney, and Jerry M. Manheimer. "Anova of Residuals and Ancova: Correcting an Illusion by Using Model Comparisons and Graphs." Journal of Educational Statistics 10, no. 3 (1985): 197–209. http://dx.doi.org/10.3102/10769986010003197.

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Analysis of covariance is often conceptualized as an analysis of variance of a single set of residual scores that are obtained by regressing the dependent variable on the covariate. Although this conceptualization of an equivalence between the two procedures may be intuitively appealing, it is mathematically incorrect. If residuals are obtained from the pooled within-groups regression coefficient ( bw), an analysis of variance on the residuals results in an inflated α-level. If the regression coefficient for the total sample combined into one group ( bT) is used, ANOVA on the residuals yields
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Shelton, Heather K. "BASIC PREMISES OF FACTORIAL ANALYSIS OF VARIANCE (ANOVA)." Experimental Techniques 27, no. 6 (2003): 64–66. http://dx.doi.org/10.1111/j.1747-1567.2003.tb00142.x.

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Emerson, Robert Wall. "MANOVA (Multivariate Analysis of Variance): An Expanded Form of the ANOVA (Analysis of Variance)." Journal of Visual Impairment & Blindness 112, no. 1 (2018): 125–26. http://dx.doi.org/10.1177/0145482x1811200113.

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Reed, James F. "Analysis of Variance (ANOVA) Models in Lower Extremity Wounds." International Journal of Lower Extremity Wounds 2, no. 2 (2003): 87–95. http://dx.doi.org/10.1177/1534734603256075.

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Fitzgerald, Shawn M., and Sharon Flinn. "Evaluating Research Studies Using the Analysis of Variance (ANOVA)." Journal of Hand Therapy 13, no. 1 (2000): 56–60. http://dx.doi.org/10.1016/s0894-1130(00)80054-x.

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Aarts, Sil, and Eveline Wouters. "De t-toets en de analysis of variance, ANOVA." Podosophia 26, no. 1 (2018): 28–33. http://dx.doi.org/10.1007/s12481-018-0187-8.

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Rasmussen, Jeffrey Lee. "ANOVA MultiMedia: A Program for Teaching ANOVA Designs." Teaching of Psychology 23, no. 1 (1996): 55–56. http://dx.doi.org/10.1207/s15328023top2301_15.

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A multimedia program for teaching analysis of variance (ANOVA) designs is described. The program tests students' understanding of independent groups and repeated measures variables, as well as the source and degrees of freedom columns of the ANOVA source table. The program uses colorful images, brief animations, interactive tasks, and immediate feedback. Information about availability is provided.
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Lakens, Daniël, and Aaron R. Caldwell. "Simulation-Based Power Analysis for Factorial Analysis of Variance Designs." Advances in Methods and Practices in Psychological Science 4, no. 1 (2021): 251524592095150. http://dx.doi.org/10.1177/2515245920951503.

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Researchers often rely on analysis of variance (ANOVA) when they report results of experiments. To ensure that a study is adequately powered to yield informative results with an ANOVA, researchers can perform an a priori power analysis. However, power analysis for factorial ANOVA designs is often a challenge. Current software solutions do not allow power analyses for complex designs with several within-participants factors. Moreover, power analyses often need [Formula: see text] or Cohen’s f as input, but these effect sizes are not intuitive and do not generalize to different experimental desi
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Dissertations / Theses on the topic "ANOVA (Analysis of variance)"

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Prosser, Robert James. "Robustness of multivariate mixed model ANOVA." Thesis, University of British Columbia, 1985. http://hdl.handle.net/2429/25511.

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In experimental or quasi-experimental studies in which a repeated measures design is used, it is common to obtain scores on several dependent variables on each measurement occasion. Multivariate mixed model (MMM) analysis of variance (Thomas, 1983) is a recently developed alternative to the MANOVA procedure (Bock, 1975; Timm, 1980) for testing multivariate hypotheses concerning effects of a repeated factor (called occasions in this study) and interaction between repeated and non-repeated factors (termed group-by-occasion interaction here). If a condition derived by Thomas (1983), multivariate
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Halldestam, Markus. "ANOVA - The Effect of Outliers." Thesis, Uppsala universitet, Statistiska institutionen, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-295864.

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This bachelor’s thesis focuses on the effect of outliers on the one-way analysis of variance and examines whether the estimate in ANOVA is robust and whether the actual test itself is robust from influence of extreme outliers. The robustness of the estimates is examined using the breakdown point while the robustness of the test is examined by simulating the hypothesis test under some extreme situations. This study finds evidence that the estimates in ANOVA are sensitive to outliers, i.e. that the procedure is not robust. Samples with a larger portion of extreme outliers have a higher type-I er
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Patrick, Joshua Daniel. "Simulations to analyze Type I error and power in the ANOVA F test and nonparametric alternatives." [Pensacola, Fla.] : University of West Florida, 2009. http://purl.fcla.edu/fcla/etd/WFE0000158.

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Lind, Ingela. "Regressor and Structure Selection : Uses of ANOVA in System Identification." Doctoral thesis, Linköping : Linköpings universitet, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-7000.

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An, Qian. "A Monte Carlo study of several alpha-adjustment procedures using a testing multiple hypotheses in factorial anova." Ohio : Ohio University, 2010. http://www.ohiolink.edu/etd/view.cgi?ohiou1269439475.

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Jordaan, Aletta Gertruida. "Empirical Bayes estimation of the extreme value index in an ANOVA setting." Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/86216.

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Thesis (MComm)-- Stellenbosch University, 2014.<br>ENGLISH ABSTRACT: Extreme value theory (EVT) involves the development of statistical models and techniques in order to describe and model extreme events. In order to make inferences about extreme quantiles, it is necessary to estimate the extreme value index (EVI). Numerous estimators of the EVI exist in the literature. However, these estimators are only applicable in the single sample setting. The aim of this study is to obtain an improved estimator of the EVI that is applicable to an ANOVA setting. An ANOVA setting lends itself naturally to
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Zhang, Bairu. "Functional data analysis in orthogonal designs with applications to gait patterns." Thesis, Queen Mary, University of London, 2018. http://qmro.qmul.ac.uk/xmlui/handle/123456789/44698.

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This thesis presents a contribution to the active research area of functional data analysis (FDA) and is concerned with the analysis of data from complex experimental designs in which the responses are curves. High resolution, closely correlated data sets are encountered in many research fields, but current statistical methodologies often analyse simplistic summary measures and therefore limit the completeness and accuracy of conclusions drawn. Specifically the nature of the curves and experimental design are not taken into account. Mathematically, such curves can be modelled either as sample
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Gonsalez, Camila Gianini [UNESP]. "Metodologias para reconhecimento de padrões em sistemas SHM utilizando a técnica da Impedância Eletromecânica (E/M)." Universidade Estadual Paulista (UNESP), 2012. http://hdl.handle.net/11449/94506.

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Made available in DSpace on 2014-06-11T19:27:13Z (GMT). No. of bitstreams: 0 Previous issue date: 2012-02-24Bitstream added on 2014-06-13T19:14:27Z : No. of bitstreams: 1 gonsalez_cg_me_ilha.pdf: 4679748 bytes, checksum: 5f6a627734b2110f92059053c2470814 (MD5)<br>Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)<br>Pesquisadores de diversas partes do mundo se empenham em desenvolver técnicas capazes de monitorar a integridade de máquinas, veículos e estruturas, principalmente as que a ruptura ou destruiç
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Gonsalez, Camila Gianini. "Metodologias para reconhecimento de padrões em sistemas SHM utilizando a técnica da Impedância Eletromecânica (E/M) /." Ilha Solteira : [s.n.], 2012. http://hdl.handle.net/11449/94506.

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Orientador: Vicente Lopes Junior<br>Banca: Samuel Silva<br>Banca: Michael John Brennan<br>Banca: Carlos Alberto Cimini Junior<br>Resumo: Pesquisadores de diversas partes do mundo se empenham em desenvolver técnicas capazes de monitorar a integridade de máquinas, veículos e estruturas, principalmente as que a ruptura ou destruição possa provocar acidentes e catástrofes. Neste contexto, várias técnicas não destrutivas podem ser utilizadas para monitorar estes sistemas permitindo a realização de reparos e, evitando maiores prejuízos econômicos e danos sociais. A técnica da Impedância Eletromecâni
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Bourahima, Fazati. "Évolutions microstructurales et défauts générés par laser cladding lors du dépôt de Ni sur des moules de verrerie en alliage de Cu-Ni-Al et en fonte GL." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLS017/document.

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Dans l’industrie de la verrerie, le laser cladding est une technique de rechargement très innovante permettant de déposer une couche très fine d’un alliage à base de nickel pour protéger les moules (utiles à la fabrication de bouteilles en verre) de la corrosion, de l’abrasion ainsi que de la fatigue thermique. La méthode utilisée ici (fusion de poudre projetée par laser) est très courante en fabrication additive. Cette étude s’intéresse à l’impact du rechargement sur le dépôt et les substrats en Cu-Ni-Al et en fonte GL. L’influence sur la microstructure ainsi que sur le comportement mécanique
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Books on the topic "ANOVA (Analysis of variance)"

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Introducing ANOVA and ANCOVA: A GLM approach. SAGE, 2001.

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Rutherford, Andrew, and Andrew Rutherford. ANOVA and ANCOVA: A GLM approach. 2nd ed. Wiley, 2011.

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ANOVA: An analysis of variance primer. F.E. Peacock Publishers, 1994.

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Rutherford, Andrew. ANOVA and ANCOVA: A GLM approach. 2nd ed. Wiley, 2011.

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ANOVA: Repeated measures. Sage Publications, 1992.

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Jackson, Sally Ann. Random factors in ANOVA. Sage Publications, 1994.

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S, Fidell Linda, ed. Experimental designs using ANOVA. Thomson/Brooks/Cole, 2007.

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M, Borror Connie, and Montgomery Douglas C, eds. Design and analysis of gauge R&R studies: Making decisions with confidence intervals in random and mixed ANOVA models. Society for Industrial Applied Mathematics, 2005.

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Scott Jones, Julie. Learn to Use Factorial Analysis of Variance (ANOVA) in SPSS With Data From the English Health Survey (Teaching Dataset) (2002). SAGE Publications Ltd., 2019. http://dx.doi.org/10.4135/9781526485786.

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Scott Jones, Julie. Learn to Use Factorial Analysis of Variance (ANOVA) in R With Data From the English Health Survey (Teaching Dataset) (2002). SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526498694.

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Book chapters on the topic "ANOVA (Analysis of variance)"

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Quicke, Donald, Buntika A. Butcher, and Rachel Kruft Welton. "Analysis of variance (ANOVA)." In Practical R for biologists: an introduction. CABI, 2021. http://dx.doi.org/10.1079/9781789245349.0155.

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Abstract Analysis of variance is used to analyze the differences between group means in a sample, when the response variable is numeric (real numbers) and the explanatory variable(s) are all categorical. Each explanatory variable may have two or more factor levels, but if there is only one explanatory variable and it has only two factor levels, one should use Student's t-test and the result will be identical. Basically an ANOVA fits an intercept and slopes for one or more of the categorical explanatory variables. ANOVA is usually performed using the linear model function lm, or the more specific function aov, but there is a special function oneway.test when there is only a single explanatory variable. For a one-way ANOVA the non-parametric equivalent (if variance assumptions are not met) is the kruskal.test.
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Quicke, Donald, Buntika A. Butcher, and Rachel Kruft Welton. "Analysis of variance (ANOVA)." In Practical R for biologists: an introduction. CABI, 2021. http://dx.doi.org/10.1079/9781789245349.0013a.

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Abstract Analysis of variance is used to analyze the differences between group means in a sample, when the response variable is numeric (real numbers) and the explanatory variable(s) are all categorical. Each explanatory variable may have two or more factor levels, but if there is only one explanatory variable and it has only two factor levels, one should use Student's t-test and the result will be identical. Basically an ANOVA fits an intercept and slopes for one or more of the categorical explanatory variables. ANOVA is usually performed using the linear model function lm, or the more specific function aov, but there is a special function oneway.test when there is only a single explanatory variable. For a one-way ANOVA the non-parametric equivalent (if variance assumptions are not met) is the kruskal.test.
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Vasishth, Shravan, and Michael Broe. "Analysis of Variance (ANOVA)." In The Foundations of Statistics: A Simulation-based Approach. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16313-5_5.

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Acton, Ciaran, Robert Miller, John Maltby, and Deirdre Fullerton. "Analysis of Variance (ANOVA)." In SPSS for Social Scientists. Macmillan Education UK, 2009. http://dx.doi.org/10.1007/978-1-137-01390-3_9.

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Shahbaba, Babak. "Analysis of Variance (ANOVA)." In Biostatistics with R. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-1302-8_9.

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Miller, Robert L., Ciaran Acton, Deirdre A. Fullerton, John Maltby, and Jo Campling. "Analysis of Variance (ANOVA)." In SPSS for Social Scientists. Macmillan Education UK, 2002. http://dx.doi.org/10.1007/978-0-230-62968-4_8.

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Kaufman, Jörg. "Analysis of Variance (ANOVA)." In Methods and Applications of Statistics in Clinical Trials. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118596333.ch2.

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Lawal, Bayo. "Analysis of Variance (ANOVA)." In Applied Statistical Methods in Agriculture, Health and Life Sciences. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05555-8_6.

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Goodman, Melody S. "Analysis of variance (ANOVA)." In Biostatistics for Clinical and Public Health Research. Routledge, 2017. http://dx.doi.org/10.4324/9781315155661-16.

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Cleophas, Ton J., and Aeilko H. Zwinderman. "Analysis of Variance (Anova)." In Regression Analysis in Medical Research. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-61394-5_7.

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Conference papers on the topic "ANOVA (Analysis of variance)"

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MUDHOLKAR, GOVIND S., DEO KUMAR SRIVASTAVA, CAROL E. MARCHETTI, and ANIL G. MUDHOLKAR. "TRIMMED ANALYSIS OF VARIANCE: A ROBUST MODIFICATION OF ANOVA." In Proceedings of Statistics 2011 Canada/IMST 2011-FIM XX. WORLD SCIENTIFIC, 2013. http://dx.doi.org/10.1142/9789814417983_0012.

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Bokoro, P., and K. Malandala. "Condition assessment of SF6 circuit breakers using analysis of variance (ANOVA)." In 2017 IEEE AFRICON. IEEE, 2017. http://dx.doi.org/10.1109/afrcon.2017.8095682.

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Brusca, S., and R. Lanzafame. "Heat Recovery Steam Generator Optimization Using Analysis of Variance." In ASME 2005 Power Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/pwr2005-50008.

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The present work deals with the analysis and optimization of a heat recovery steam generator (HRSG) using the ANalysis Of VAriance (ANOVA). In order to obtain an optimum thermodynamic configuration of a three pressure levels HRSG, a mathematical model of the generator has been implemented using a generic thermodynamic code. Model management and HRSG control logic have been implemented using code’s macros and Microsoft Excel VBA programming languages. The model has been finely tuned and tested using real HRSG running data in the current plant configuration. Using the model, evaporators’ pressur
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Nasirabadi, Parizad Shojaee, Helene Conseil-Gudla, Sankhya Mohanty, Masoud Jabbari, Rajan Ambat, and Jesper H. Hattel. "Semi-empirical prediction of moisture build-up in an electronic enclosure using analysis of variance (ANOVA)." In 2016 IEEE 18th Electronics Packaging Technology Conference (EPTC). IEEE, 2016. http://dx.doi.org/10.1109/eptc.2016.7861588.

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Zohourkari, Iman, Saeed Assarzadeh, and Mehdi Zohoor. "Modeling and Analysis of Hot Extrusion Metal Forming Process Using Artificial Neural Network and ANOVA." In ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2010. http://dx.doi.org/10.1115/esda2010-25333.

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In this paper, a feed-forward back-propagation artificial neural network (BP-ANN) and analysis of variance (ANOVA) are applied to a hot metal extrusion process, establishing a black box model as well as analyzing the effects of relevant process parameters on required forging load, under different operating conditions. Some finite element simulation data on extruding ck-45 steel, adopted from a published research paper, were used to train the neural model employing Levenberg-Marquardt learning algorithm. Die angle (15°–75°), friction coefficient between billet-die material pair (0.4–0.8), punch
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Karakhan, Ali, John Gambatese, Kasim Alomari, and Ding Liu. "Consideration of Worker Safety in the Design Process: A Statistical-Based Approach Using Analysis of Variance (ANOVA)." In Construction Research Congress 2018. American Society of Civil Engineers, 2018. http://dx.doi.org/10.1061/9780784481288.037.

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Danila, Adrian, Delia Ungureanu, Sorin Aurel Moraru, and Nicoleta Voicescu. "An implementation of the variance analysis (ANOVA) for the power factor optimization at distribution level in smart grid." In 2017 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM) & 2017 Intl Aegean Conference on Electrical Machines and Power Electronics (ACEMP). IEEE, 2017. http://dx.doi.org/10.1109/optim.2017.7974946.

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Morsi, Iman. "Discrimination of some atmospheric gases using an integrated sensor array, surface response modeling algorithms, and analysis of variance (ANOVA)." In SAS2008 - IEEE Sensors Applications Symposium. IEEE, 2008. http://dx.doi.org/10.1109/sas13374.2008.4472959.

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Xie, Shengkun, Sridhar Krishnan, and Anna T. Lawniczak. "Analysis of communication network surveillance using functional ANOVA model with unequal variances." In 2012 IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA). IEEE, 2012. http://dx.doi.org/10.1109/cisda.2012.6291541.

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Esmaeeli, Roja, Haniph Aliniagerdroudbari, Seyed Reza Hashemi, Hammad Al-Shammari, Muapper Alhadri, and Siamak Farhad. "Univariate and Multivariate Gauge Repeatability and Reproducibility Analysis on the High Frequency Dynamic Mechanical Analysis (DMA) Measurement System." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-10986.

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Abstract The quality of the collected data from a measurement system affects eventual decision making process. Therefore, the reliability of any measurement system is an important factor to be studied. Gauge repeatability and reproducibility (Gauge R&amp;R) is the standard method to evaluate the measurement system and assess the adequacy of variation in the measurement data. Gauge R&amp;R is a statistical tool which evaluates two main characteristics of the measurement system: repeatability and reproducibility. The Dynamic Mechanical Analysis (DMA) is a common measurement system for studying t
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Reports on the topic "ANOVA (Analysis of variance)"

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Dzhangarov, A. I. Multivariate analysis of variance analysis software. Engineering Herald of Don, 2019. http://dx.doi.org/10.18411/0236-8898-1123.

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Dzhangarov, A. I. Multivariate analysis of variance analysis software. Engineering Herald of Don, 2019. http://dx.doi.org/10.18411/0236-8898-1123-2020.

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Verrill, Steve, and David E. Kretschmann. Reminder about potentially serious problems with a type of blocked ANOVA analysis. U.S. Department of Agriculture, Forest Service, Forest Products Laboratory, 2017. http://dx.doi.org/10.2737/fpl-rp-683.

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Kim, Joseph J., Samuel Dominguez, and Luis Diaz. Freight Demand Model for Southern California Freeways with Owner–Operator Truck Drivers. Mineta Transportation Institute, 2020. http://dx.doi.org/10.31979/mti.2020.1931.

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This study evaluates the demand for truck-only toll lanes on Southern California freeways with owner–operator truck drivers. The study implemented the stated preference survey method to estimate the value placed by drivers on time, reliability, and safety measures using various scenarios geared towards assessing those values. The project team met face-to-face with owner- operator truck drivers near the Ports of Los Angeles and Long Beach to understand the drivers’ perspectives regarding truck-only toll lanes on Southern California freeways. A data set containing 31 survey responses is obtained
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Goodall, Colin. The Analysis of Averages and the Analysis of Variance. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada198467.

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Taylor, K. E., and C. Covey. Analysis of Variance Including the Diurnal Cycle. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1460516.

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Poyer, D. A. Residential energy consumption: An analysis-of-variance study. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/5757461.

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Poyer, D. A. Residential energy consumption: An analysis-of-variance study. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/10132294.

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Anderson, T. W., and Michael D. Perlman. Consistency of Invariants for the Multivariate Analysis of Variance. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada591103.

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Ramsey, M. H., M. Thompson, and M. Hale. Objective evaluation of precision requirements for geochemical analysis using analysis of variance. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1993. http://dx.doi.org/10.4095/193282.

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