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Relevant bibliographies by topics / Statistical (ANOVA)

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Dissertations / Theses
Books
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Academic literature on the topic 'Statistical (ANOVA)'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Statistical (ANOVA)"

1

Brereton, Richard G. "ANOVA tables and statistical significance of models." Journal of Chemometrics 33, no. 3 (2018): e3019. http://dx.doi.org/10.1002/cem.3019.

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Keselman, H. J., Carl J. Huberty, Lisa M. Lix, et al. "Statistical Practices of Educational Researchers: An Analysis of their ANOVA, MANOVA, and ANCOVA Analyses." Review of Educational Research 68, no. 3 (1998): 350–86. http://dx.doi.org/10.3102/00346543068003350.

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Potvin, Patrick J., and Robert W. Schutz. "Statistical power for the two-factor repeated measures ANOVA." Behavior Research Methods, Instruments, & Computers 32, no. 2 (2000): 347–56. http://dx.doi.org/10.3758/bf03207805.

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Ping, Wen, Chen Shengduo, Wang Jiarui, and Che Wei. "ANOVA Statistical Significance Analysis of Clinicopathological Characteristics Tumor Tissue." Journal of Medical Imaging and Health Informatics 10, no. 1 (2020): 38–43. http://dx.doi.org/10.1166/jmihi.2020.2857.

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Driscoll, Wade C. "Robustness of the ANOVA and Tukey-Kramer statistical tests." Computers & Industrial Engineering 31, no. 1-2 (1996): 265–68. http://dx.doi.org/10.1016/0360-8352(96)00127-1.

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Simon, Stephen D., and James P. Lesage. "Assessing the accuracy of ANOVA calculations in statistical software." Computational Statistics & Data Analysis 8, no. 3 (1989): 325–32. http://dx.doi.org/10.1016/0167-9473(89)90048-0.

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Liu, Fang, and Laiyong Zhou. "Statistical ANOVA Analysis for Early Detection of Nasopharyngeal Carcinoma Cells." Journal of Medical Imaging and Health Informatics 10, no. 1 (2020): 139–42. http://dx.doi.org/10.1166/jmihi.2020.2869.

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Kim, Jong-Geon, Yong-Seok Choi, and Nae-Young Lee. "Unbalanced ANOVA for Testing Shape Variability in Statistical Shape Analysis." Korean Journal of Applied Statistics 23, no. 2 (2010): 317–23. http://dx.doi.org/10.5351/kjas.2010.23.2.317.

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Glenn, D. Michael. "Statistical Analysis of Root Count Data." HortScience 30, no. 4 (1995): 907A—907. http://dx.doi.org/10.21273/hortsci.30.4.907a.

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The minirhizotron approach for studying the dynamics of root systems is gaining acceptance; however, problems have arisen in the analysis of data. The purposes of this study were to determine if analysis of variance (ANOVA) was appropriate for root count data, and to evaluate transformation procedures to utilize ANOVA. In peach, apple, and strawberry root count data, the variance of treatment means was positively correlated with the mean, violating assumptions of ANOVA. A transformation based on Taylor's power law as a first approximation, followed by a trial and error approach, developed tran

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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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Dissertations / Theses on the topic "Statistical (ANOVA)"

1

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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Gu, Jin. "Statistical partition problem for exponential populations and statistical surveillance of cancers in Louisiana." ScholarWorks@UNO, 2014. http://scholarworks.uno.edu/td/1921.

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In this dissertation, we consider the problem of partitioning a set of k population with respect to a control population. For this problem some multistage methodologies are proposed and their properties are derived. Using the Monte Carlo simulation techniques, the small and moderate sample size performance of the proposed procedure are studied. We have also considered at statistical surveillance of various cancers in Louisiana.

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An, Qian. "A Monte Carlo Study of Several Alpha-Adjustment Procedures Used in Testing Multiple Hypotheses in Factorial Anova." Ohio University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1269439475.

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Senteney, Michael H. "A Monte Carlo Study to Determine Sample Size for Multiple Comparison Procedures in ANOVA." Ohio University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou160433478343909.

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Anday, Tekie T. "Application of ANOVA for the analysis of temporal and spatial differences in the length of pelagic goby preyed on by Cape fur seals in the coasts of Namibia." Master's thesis, University of Cape Town, 2005. http://hdl.handle.net/11427/4369.

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Includes bibliographical references (leaves 62-66).<br>The Analysis of variance is a robust technique whereby the total variation present in a set of data is partitioned into two or more components (Wayne, 1999). In this thesis, ANOVA was used to uncover the differences in goby length preyed on by three different colonies of fur seals at the Namibian coast. Moreover, ANOVA was used to investigate temporal differences in lengths of goby preyed on by fur seals in each location of the seal colonies. Results of the analysis are shown in the Analysis and results section, and the findings are discus

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Mu, Zhiqiang. "Comparing the Statistical Tests for Homogeneity of Variances." Digital Commons @ East Tennessee State University, 2006. https://dc.etsu.edu/etd/2212.

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Testing the homogeneity of variances is an important problem in many applications since statistical methods of frequent use, such as ANOVA, assume equal variances for two or more groups of data. However, testing the equality of variances is a difficult problem due to the fact that many of the tests are not robust against non-normality. It is known that the kurtosis of the distribution of the source data can affect the performance of the tests for variance. We review the classical tests and their latest, more robust modifications, some other tests that have recently appeared in the literature,

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Nueda, Roldán María José. "Statistical methods for time course microarray data." Doctoral thesis, Universitat Politècnica de València, 2009. http://hdl.handle.net/10251/6061.

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La tesis aborda el análisis estadístico de series simples y múltiples de experimentos de "Time Course Microarray" (TCM). El trabajo se centra en el desarrollo, aplicación y evaluación de métodos estadísticos específicos que consideran la problemática de este tipo de datos, tanto desde el punto de vista de selección de genes como del análisis funcional. Las técnicas desarrolladas se comparan con otros métodos del estado del arte actual evaluando las diferentes metodologías en términos de eficiencia y significado biológico de los resultados. En la tesis se incluye la descripción del funcionamien

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Frisch, Jessica Lynne. "Chromatographic and mass spectral analyses of oligosaccharides and indigo dye extracted from cotton textiles with manova and anova statistical data analyses." Orlando, Fla. : University of Central Florida, 2008. http://purl.fcla.edu/fcla/etd/CFE0002068.

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Iqbal, Sardar S. "IMPACT OF HEAT TREATMENT AND OXIDATION OF C/C COMPOSITES ON MICROSTRUCTURE AND PHYSICAL PROPERTIES." OpenSIUC, 2011. https://opensiuc.lib.siu.edu/dissertations/430.

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Carbon-carbon (C/C) composites are notable among engineering materials in aerospace and defense industries possessing excellent specific mechanical, thermal, frictional and wear properties. C/C maintain their properties at temperatures where most of the high end alloys give in, and maintain their dimensional stability at temperatures above 2000 oC. C/C is frequently used in aircraft and automotive industries as brake materials. However, frictional performance is dependent on various parameters: microstructure, fiber type, fiber orientation distribution, fiber/matrix interfacial bond, heat trea

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Forsberg, Niklas. "What affects the tear strength of paperboard? : Consequences of unbalance in a designed experiment." Thesis, Karlstads universitet, Handelshögskolan, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-63985.

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This essay covers a designed experiment on paperboard where the quality under study is tear strength alongside and across. The objective is to examine what consequences the loss of balance in a designed experiment has on the explanatory power of the proposed empirical model. As did happen, the trial plan didn’t go as planned when the first run caused a disruption of the paperboard in the machine. Decision from the company was to raise the low level of one of the design factors to prevent this from happening again. The consequence of this is an alteration of the design during ongoing experiment

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Books on the topic "Statistical (ANOVA)"

1

ANOVA: Repeated measures. Sage Publications, 1992.

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

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

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

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5

Beyond ANOVA, basics of applied statistics. Wiley, 1986.

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6

Wm, Brown Byron, ed. Beyond ANOVA: Basics of applied statistics. Chapman & Hall, 1997.

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

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Goos, Peter. Statistics with JMP: Hypothesis tests, ANOVA, and regression. John Wiley & Sons, Inc., 2016.

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Population by sex, age, religion, ethnicity according to district and D.S. Division (provisional): Strī puruṣa bhāvaya, vayasa, āgama, janavargaya anuva distrikk saha Prā. Lē. koṭṭhāśayvala janagahanaya (yāvakālika) = Āṇ-peṇ pirivu, vayatu, samaya, ena rītiyaga māvaṭṭa mar̲r̲um pirateca ceyalāḷar pirivuritiyān̲a sanatogai (tharkaligamanattu). Dept. of Census and Statistics, 2001.

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10

Statistical Modeling, Linear Regression and ANOVA: A Practical Computational Perspective. Lulu.com, 2018.

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Book chapters on the topic "Statistical (ANOVA)"

1

Ross, Amanda, and Victor L. Willson. "Factorial Anova." In Basic and Advanced Statistical Tests. SensePublishers, 2017. http://dx.doi.org/10.1007/978-94-6351-086-8_6.

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Akritas, Michael G. "Nonparametric Models for ANOVA and ANCOVA Designs." In International Encyclopedia of Statistical Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-04898-2_415.

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Ross, Amanda, and Victor L. Willson. "One-Way Anova." In Basic and Advanced Statistical Tests. SensePublishers, 2017. http://dx.doi.org/10.1007/978-94-6351-086-8_5.

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Green, Rita. "Comparing Performance III: ANOVA." In Statistical Analyses for Language Testers. Palgrave Macmillan UK, 2013. http://dx.doi.org/10.1057/9781137018298_8.

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Reddy, M. Venkataswamy. "Experimental Data Analysis: Anova." In Statistical Methods in Psychiatry Research and SPSS. Apple Academic Press, 2019. http://dx.doi.org/10.1201/9780429023309-10.

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Frude, Neil. "Statistical Analysis IV: ONEWAY and ANOVA." In A Guide to SPSS/PC+. Macmillan Education UK, 1993. http://dx.doi.org/10.1007/978-1-349-13164-8_12.

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Frude, Neil. "Statistical Analysis IV: ONEWAY and ANOVA." In A Guide to SPSS/PC+. Springer New York, 1987. http://dx.doi.org/10.1007/978-1-4757-8985-0_12.

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Frude, Neil. "Statistical Analysis IV: ONEWAY and ANOVA." In A Guide to SPSS/PC+. Palgrave Macmillan UK, 1987. http://dx.doi.org/10.1007/978-1-349-09709-8_12.

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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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Armstrong, Richard A., and Anthony C. Hilton. "One-Way Analysis of Variance (Anova)." In Statistical Analysis in Microbiology: Statnotes. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9780470905173.ch6.

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Conference papers on the topic "Statistical (ANOVA)"

1

Mu, Weiyan, and Xiaona Yuan. "Statistical inference for ANOVA under heteroscedasticity: Statistical inference." In 2012 2nd International Conference on Consumer Electronics, Communications and Networks (CECNet). IEEE, 2012. http://dx.doi.org/10.1109/cecnet.2012.6201745.

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Salami, Abbas, Farnaz Ghassemi, and Mohammad Hasan Moradi. "A Criterion to Evaluate Feature Vectors Based on ANOVA Statistical Analysis." In 2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME). IEEE, 2017. http://dx.doi.org/10.1109/icbme.2017.8430266.

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Tavares, Lucas Ramos, Tatiane S. Costa, Karen Barbosa de Melo, Joao Lucas de S. Silva, and Marcelo G. Villalva. "Statistical analysis ANOVA and MANOVA of irradiation and temperature database for photovoltaic systems." In 2020 IEEE International Conference on Industrial Technology (ICIT). IEEE, 2020. http://dx.doi.org/10.1109/icit45562.2020.9067233.

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Stan, Felicia, Daniel Vlad, and Catalin Fetecau. "Statistical Cutting Force Model for Orthogonal Cutting of Polytetrafluoroethylene (PTFE) Composites." In ASME 2013 International Manufacturing Science and Engineering Conference collocated with the 41st North American Manufacturing Research Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/msec2013-1033.

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This paper presents an experimental investigation of the cutting forces response during the orthogonal cutting of polytetrafluoroethylene (PTFE) and PTFE-based composites using the Taguchi method. Cutting experiments were conducted using the L27 orthogonal array and the effects of the cutting parameters (feed rate, cutting speed and rake angle) on the cutting force were analyzed using the S/N ratio response and the analysis of variance (ANOVA). Statistical models that correlate the cutting force with process variables were developed using ANOVA and polynomial regression. The variation of the a

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Dimitriou, Pavlos, Zhijun Peng, David Lemon, Bo Gao, and Michail Soumelidis. "Diesel Engine Combustion Optimization for Bio-Diesel Blends Using Taguchi and ANOVA Statistical Methods." In 11th International Conference on Engines & Vehicles. SAE International, 2013. http://dx.doi.org/10.4271/2013-24-0011.

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Booth, J. E., K. D. Nelson, T. J. Harvey, R. J. K. Wood, J. G. Martinez, and H. E. G. Powrie. "Mini-Traction-Machine Tests to Assess the Effect of Base Oil and Additive Interactions on Surface Charge and Friction." In ASME/STLE 2007 International Joint Tribology Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/ijtc2007-44317.

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Electrostatic condition monitoring was implemented on a MTM to examine the influence of additive adsorption from three base oils. Statistical analysis (ANOVA) indicates significant affects on measured charge and friction levels for both additive and base oil type.

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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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Balta, Berna, Fazıl O¨nder So¨nmez, and Abdu¨lkadir Cengiz. "Gage Repeatability and Reproducibility Investigations of a Test Rig Using ANOVA/Xbar-R Method." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-62130.

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In an experimental study, good measurement systems are important for approaching successful decisions. The assessment of a measurement system is known as “Gage Repeatability and Reproducibility” (GR&R). “Measurement System Analysis” (MSA) should be performed at the beginning of an experimental study to ensure that the information to be collected are true representation of what is occurring in the experiment. Experimental data collected under the same condition usually show variation, which arises partly from the experimental system, partly from the measurement devices and partly from the o

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Mohammadi, Aminollah, Alireza Fadaei Tehrani, Davoud Karimi, and Ehsan Emanian. "A New Approach in Surface Roughness and Roundness Improvement in Wire Electrical Discharge Turning Based on Statistical Analyses." In ASME 2006 International Manufacturing Science and Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/msec2006-21001.

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In this paper, the effects and optimization of machining parameters on surface roughness and roundness in turning by wire EDM process are investigated. Surface roughness and roundness, were chosen, as the machining parameters to verify the process. In addition, power, time-off, voltage, servo, wire speed, wire tension and rotational speed were adopted for evaluation by Taguchi method. A L18 (21 × 37) Taguchi standard orthogonal array is chosen for the design of experiments. The level of importance of the machining parameters on the surface roughness and roundness is determined by using analysi

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Bhende, Gaurav P., Pallavi B. Kulkarni, and Priyanka M. Kale. "Analyzing Effects of Soil Parameters on Buried Pipe Behavior and Deciding Governing Parameter Using Statistical Approach." In ASME 2015 India International Oil and Gas Pipeline Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/iogpc2015-7908.

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One of the most common and practical difficulties a pipeline engineer faces at the initial stage of the project is the lack of Soil survey data. Hence, various soil parameters like soil type, density, friction angle, cohesive pressure, depth of cover, pipe coating etc. are needed to be assumed. The critical designs like anchor block requirement, pipe route changes, support loads which involve a huge cost are required to be ‘Issued for Construction’ based on assumed data. This paper briefly illustrates and compares the results obtained from the two most common buried pipe stress analysis method

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Reports on the topic "Statistical (ANOVA)"

1

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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Tucker-Blackmon, Angelicque. Engagement in Engineering Pathways “E-PATH” An Initiative to Retain Non-Traditional Students in Engineering Year Three Summative External Evaluation Report. Innovative Learning Center, LLC, 2020. http://dx.doi.org/10.52012/tyob9090.

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The summative external evaluation report described the program's impact on faculty and students participating in recitation sessions and active teaching professional development sessions over two years. Student persistence and retention in engineering courses continue to be a challenge in undergraduate education, especially for students underrepresented in engineering disciplines. The program's goal was to use peer-facilitated instruction in core engineering courses known to have high attrition rates to retain underrepresented students, especially women, in engineering to diversify and broaden

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