Relevant bibliographies by topics / Statistics project

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Statistics project'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 February 2022

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Journal articles on the topic "Statistics project"

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Meszaros, Paul. "Bradford Community Statistics Project." Local Economy: The Journal of the Local Economy Policy Unit 16, no. 4 (November 2001): 326–28. http://dx.doi.org/10.1080/026909401317190161.

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Kasten, Peggy. "Projects: Project CLIMB." Mathematics Teacher 94, no. 5 (May 2001): 430a—432. http://dx.doi.org/10.5951/mt.94.5.430a.

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Project CLIMB (Creating Links in Math and Business) is a teacherdeveloped project that was designed to help answer the students' question, When are we ever going to use this? The project allows precalculus students to communicate with people in the business world by using e-mail. Students are put into groups of three or four and assigned a business contact. The students determine from this contact person exactly what the company does, how teams are used in the company, and how specific mathematics topics are used by the contact person on the job. The student project includes six e-mail requests for information during a semester. The information requested centers on the precalculus topics of matrices, statistics, linear programming, logarithms, trigonometry, and probability. These broad topics are used by people in a variety of fields. The business contact uses e-mail to respond.
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Marshall, Ellen. "Embedding and assessing project based statistics." MSOR Connections 17, no. 2 (April 24, 2019): 75. http://dx.doi.org/10.21100/msor.v17i2.979.

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Traditional approaches to learning and teaching in statistics often involves the passive absorption of information through lectures, a focus on mathematical theory and assessments which test mastery of procedures. This often results in students struggling to apply their statistics knowledge in practical and authentic contexts particularly within final year projects and in the workplace. For some time, statistics educational literature has recommended shifting the focus of teaching and assessment from theory to statistical problem solving, application based statistics using real-life scenarios, and effective communication of statistics. This research has led to the production of guidelines for statistics educators from the American Statistical Association.This paper discusses how educational literature and guidelines have been used to implement changes in the teaching of a first year probability and statistics module for mathematics undergraduates at Sheffield Hallam University. Changing to project based learning with a focus on active learning, effective decision making and communication enabled students to successfully undertake an open group project by the end of their first year. In addition, attendance, engagement and understanding were noticeably improved. The rationale, challenges and benefits to changing the focus of the course and also the teaching style are discussed.
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DOEHLER, KIRSTEN. "SUCCESSFUL SERVICE-LEARNING FOR STATISTICS STUDENTS STUDYING SURVEY SAMPLING." STATISTICS EDUCATION RESEARCH JOURNAL 17, no. 2 (November 30, 2018): 82–103. http://dx.doi.org/10.52041/serj.v17i2.160.

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This paper explores the implementation of service-learning projects in a survey sampling statistics course. In these projects, students worked with a community partner to develop and administer a survey, analyze the data collected, and present the results. A study with 23 participants was conducted to investigate whether students’ attitudes towards community service changed after involvement in a statistical consulting-based service-learning project with a local non-profit organization. Results from administering the Community Service Attitudes Scale (Shiarella, McCarthy, & Tucker, 2000) before and after the project indicated significant changes in several aspects of attitudes towards service. Qualitative information is also provided on themes from student reflection assignments. Project details and recommendations for instructors administering this type of service-learning project are discussed. First published November 2018 at Statistics Education Research Journal Archives
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Pfaff, Thomas J. "STATISTICS PROJECT USING INSTITUTIONAL DATA." PRIMUS 16, no. 1 (January 2006): 46–52. http://dx.doi.org/10.1080/10511970608984134.

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Obare, Josiah Obiria, Dorothy Ndunge Kyalo, Angeline Sabina Mulwa, and John Mbugua. "Implementation Process of Project Control Systems and Performance of Rural Roads Construction Projects in Kenya: Role of Project Team Experience Diversity." European Scientific Journal, ESJ 12, no. 29 (October 31, 2016): 408. http://dx.doi.org/10.19044/esj.2016.v12n29p408.

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Project managers have always endeavoured to effectively implement project controls systems during execution of projects to enhance rates of projects successes. However lack of understanding of the role of diversity of experiences among the workforce has hindered the ultimate performance of the project control systems in influencing the performance of construction projects. This paper sought to establish the extent to which project team experience diversity influence on the relationship between implementation process of project control systems and performance of rural roads construction projects in Kenya. The study adopted the pragmatism paradigm and the correlational survey research design. Descriptive statistics were analysed using frequencies, percentages, arithmetic mean and standard deviation while inferential statistics were analysed using Pearson’s Product Moment correlation (r), simple regression and stepwise regression (R2). Ftest was used to test the hypotheses. Tests of statistical assumptions were carried out before analysis. The results indicated that with r= 0.533, R2 = 0.284 F (1,195) = 77.208 at p=0.0000.05, the null hypothesis was failed to be rejected and therefore concluded that the significant relationship between implementation process of project control systems and performance of rural roads project does not depend on the interaction between implementation process of project control systems and project team experience diversity. It was therefore recommended that project team experience diversity among the professionals should be encouraged, communicated and shared for the common purpose of achieving high performance in projects.
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Graham, Petra L., William I. Notz, Dennis K. Pearl, and Elizabeth A. Stasny. "Electronic resources: the Ohio state university EESEE project." Journal of Applied Mathematics and Decision Sciences 7, no. 2 (January 1, 2003): 85–92. http://dx.doi.org/10.1155/s1173912603000087.

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Electronic resources aid in the teaching and learning of statistics by providing data that may be used interactively by teachers and students. By interacting with the data students are encouraged to discover knowledge and thereby gain a deeper understanding of statistical concepts. The Electronic Encyclopedia of Statistical Examples and Exercises (EESEE) is an electronic resource that includes over 80 ‘real-world’ examples about the uses and abuses of statistics. These examples are drawn from published and printed media and the diverse range of subject-matter areas make it suitable for use in any statistics course.
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Thomas, Nivea, and Anu V. Thomas. "Regression Modelling for Prediction of Construction Cost and Duration." Applied Mechanics and Materials 857 (November 2016): 195–99. http://dx.doi.org/10.4028/www.scientific.net/amm.857.195.

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Construction investments are sensitive to time and cost overruns. Delay and cost escalation are considered two threats to project success. The project objective is to develop a model to predict project cost and duration based on historical data of similar projects. Statistical regression models are developed using real data of building projects. The methodology is adopted in 3 steps: a) Data collection b) Statistical analysis using Statistical Package for Social Sciences (SPSS) software c) Interpretation of results. The real data of cost and duration of 51 building projects have been collected. In statistics, regression analysis is a statistical process for estimating the relationships among variables. It includes many techniques for modelling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables. The analysis is done using SPSS developed by IBM Corporation. The Regression models have been developed using the data collected from Noel Builders, Kakkanad, Ernakulam to predict the project cost and duration. The developed models are validated using split sample approach. The model outputs can be used by project managers in the planning phase to validate the scheduled critical path time and project budget.
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Peters, Susan A., Michelle Gross, and Amy Stokes-Levine. "Project-Based Statistics: Capitalizing on Students' Interests." Mathematics Teaching in the Middle School 24, no. 6 (April 2019): 330–36. http://dx.doi.org/10.5951/mathteacmiddscho.24.6.0330.

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Williamson, Alan G. "SMP Statistics, Student's Book, School Mathematics Project." Mathematical Gazette 82, no. 495 (November 1998): 523. http://dx.doi.org/10.2307/3619918.

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Dissertations / Theses on the topic "Statistics project"

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Araki, Linda. "An exploratory study of student attitudes toward statistics and their retention of statistical concepts." CSUSB ScholarWorks, 1995. https://scholarworks.lib.csusb.edu/etd-project/472.

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The purpose of this exploratory research was to investigate potential factors (i.e. gender, time lapse between the latest statistics class and completion of the statistics test, grade point average (GPA), attitude towards statistics), which are associated with the comprehension and retention of statistical knowledge in Baccalaureate Psychology students. The criterion variable was statistical competency, which was measured in five subdomains: basic concepts, descriptives, correlation/regression, hypothesis testing, and inferential statistics.
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Lavigne, Nancy C. "Project-based investigations for producing and critiquing statistics." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0031/NQ64598.pdf.

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Edwards, Steven Marc. "Consumers' attitudes toward advertising and purchase intentions regarding direct response advertisements in a multicultural market." CSUSB ScholarWorks, 1995. https://scholarworks.lib.csusb.edu/etd-project/1010.

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Scott, Stephen. "Project plans and record-keeping on construction sites in the United Kingdom." Thesis, University of Newcastle Upon Tyne, 1991. http://hdl.handle.net/10443/623.

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The main part of this thesis involves an investigation into the ways in which contractors and supervising engineers deal with the programme of works for their projects. A secondary strand concerns the problems of record-keeping, in particular the records needed to assess claims for delay. A final chapter is included to describe a new model for teaching the principles of CPM, which developed from the research. Little is known about the procedures adopted for specifying project plans, for checking them or for using them to assess contractual claims. By interviewing contractors and consulting engineers using a questionnaire, this area has been opened up and information obtained to allow sensible recommendations to be made. The problems of concurrent delay have been examined and new ideas as to how they may be dealt with put forward. Some of the procedures used for this section of the work are considered to be novel and original. In considering the problems of assessing delay claims, it soon became clear that an 'as-built' record of progress would be, most helpful, and a computer program to generate such a record has been written. The author is not aware of any such similar program. Finally, the model for teaching CPM is an innovation. it uses a recognized format, that of the time-scaled diagram, but adds another dimension in allowing the activities to move on the diagram within the logic of the network. Throughout this thesis, the capitalized forms of engineer and contractor (Engineer and Contractor) have been given special meanings. Two separate questionnaires were used: one for the professionals involved in contract supervision and one for those involved in the construction of the contract. The particular interviewees questioned using the first of these questionnaires have been described as Engineers and those questioned using the second questionnaire as Contractors.
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Elwakil, Mohamed Abdel-Wahed. "Identifying and predicting changes in neighborhood quality: experiments in techniques to assess quality and project change /." The Ohio State University, 1994. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487856906258347.

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Sun, Xiaoqian. "Bayesian spatial data analysis with application to the Missouri Ozark forest ecosystem project." Diss., Columbia, Mo. : University of Missouri-Columbia, 2006. http://hdl.handle.net/10355/4477.

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Thesis (Ph.D.)--University of Missouri-Columbia, 2006.
The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (May 1, 2007) Vita. Includes bibliographical references.
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Olsen, Andrew Nolan. "Hierarchical Bayesian Methods for Evaluation of Traffic Project Efficacy." BYU ScholarsArchive, 2011. https://scholarsarchive.byu.edu/etd/2922.

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A main objective of Departments of Transportation is to improve the safety of the roadways over which they have jurisdiction. Safety projects, such as cable barriers and raised medians, are utilized to reduce both crash frequency and crash severity. The efficacy of these projects must be evaluated in order to use resources in the best way possible. Five models are proposed for the evaluation of traffic projects: (1) a Bayesian Poisson regression model; (2) a hierarchical Poisson regression model building on model (1) by adding hyperpriors; (3) a similar model correcting for overdispersion; (4) a dynamic linear model; and (5) a traditional before-after study model. Evaluation of these models is discussed using various metrics including DIC. Using the models selected for analysis, it was determined that cable barriers are quite effective at reducing severe crashes and cross-median crashes on Utah highways. Raised medians are also largely effective at reducing severe crashes. The results of before and after analyses are highly valuable to Departments of Transportation in identifying effective projects and in determining which roadway segments will benefit most from their implementation.
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Gomez, Elisa Valderas. "Performance of the Kenward-Project when the Covariance Structure is Selected Using AIC and BIC." Diss., CLICK HERE for online access, 2004. http://contentdm.lib.byu.edu/ETD/image/etd431.pdf.

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Bacon, Michael T. Florin John William Fraser James Curtis. "A spatial statistics examination of changes in violent crime patterns following a housing redevelopment project." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2006. http://dc.lib.unc.edu/u?/etd,544.

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Thesis (M.A.)--University of North Carolina at Chapel Hill, 2006.
Title from electronic title page (viewed Oct. 10, 2007). "... in partial fulfillment of the requirements for the degree of Master of Arts in the Department of Geography." Discipline: Geography; Department/School: Geography.
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Charoenphol, Dares. "Using robust statistical methodology to evaluate the performance of project delivery systems| A case study of horizontal construction." Thesis, The George Washington University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10252878.

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The objective of this study is to demonstrate the application of the bootstrapping M-estimator (a robust Analysis of Variance, ANOVA) to test the null hypotheses of means equality among the cost and schedule performance of the three project delivery systems (PDS). A statistical planned contrast methodology is utilized after the robust ANOVA analysis to further determine where the differences of the means lie.

The results of this research concluded that traditional PDS (Design-Bid-Build, DBB) outperformed the two alternative PDS (“Design-Build (DB) and Construction Manager/General Contractor (CMGC)”), DBB and CMGC outperformed DB, and DBB outperformed CMGC, for the Cost Growth and the Change Order Cost Factor performance. On the other hand, alternative PDS (“DB & CMGC”) outperformed DBB, DB and CMGC (separately) outperformed DBB, and between the two alternative PDS, CMGC outperformed DB, for the Schedule Cost Growth performance.

These findings can help decision makers/owners making an informed decision, regarding cost and schedule related aspects, when choosing PDS for their projects. Though the case study of this research is based on the sample data obtained from the construction industry, the same methodology and statistical process can be applied to other industries and factors/variables of interest when the study sample data are unbalanced and the normality and homogeneity of variance assumptions are violated.

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Books on the topic "Statistics project"

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Advancement, Asha Association in Surguja for Human. Dhodagaon Watershed Project: Project report. Surguja: CRS Counterpart, Asha Association Surguja for Human Advancement, 2003.

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Chalmers, Neil. The OU project guide: Field work and statistics for ecological projects. 2nd ed. Shrewsbury: Field Studies Council, 1989.

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Myers, Chelsea. Project-Based R Companion to Introductory Statistics. First edition. | Boca Raton : Taylor and Francis, 2021.: Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9780429292002.

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Unit, Western Australia Pilbara Public Health. Men's health project report. South Hedland, WA: Pilbara Public Health Unit, 1994.

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Esela, Bateteba Aselu. Social development policy project. [Funafuti, Tuvalu?]: Dept. of Community Affairs, Ministry of Home Affairs and Rural Development, 2005.

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Meyer, Neil L. Idaho fiscal project. Moscow, Idaho: Dept. of Agricultural Economics and Rural Sociology, College of Agricultural and Life Sciences, University of Idaho, 1999.

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Texas. Dept. of Community Affairs. Training and Employment Development Division. Texas school dropout survey project. Austin, TX: Training and Employment Development Division, Texas Dept. of Community Affairs, 1986.

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Normand, Josee. A profile of the Métis: Target groups project. Ottawa: Statistics Canada, 1996.

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M, Burr John. Dall River cooperative research project, 1995. Anchorage: Alaska Dept. of Fish and Game, Division of Sport Fish, Research and Technical Services, 1996.

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Tina, Kovach, ed. Statistical techniques for project control. Boca Raton: CRC Press, 2012.

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Book chapters on the topic "Statistics project"

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Sabine, P., and C. Plumpton. "Project work." In Statistics, 85–87. London: Palgrave Macmillan UK, 1985. http://dx.doi.org/10.1007/978-1-349-07668-0_8.

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Dimitrov, Dimitre. "Statistics and Probabilities." In Software Project Estimation, 21–30. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5025-9_4.

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Watt, T. A. "Your project." In Introductory Statistics for Biology Students, 186–201. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4899-3166-5_11.

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Watt, T. A. "Your project." In Introductory Statistics for Biology Students, 153–66. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4899-3168-9_11.

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Canner, Paul L. "Coronary Drug Project." In Methods and Applications of Statistics in Clinical Trials, 273–84. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118596005.ch24.

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Vidakovic, Brani. "Bayesian Inference Using Gibbs Sampling – BUGS Project." In Springer Texts in Statistics, 733–45. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0394-4_19.

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Allen, Theodore T. "Lean Sigma Project Design." In Introduction to Engineering Statistics and Lean Six Sigma, 551–65. London: Springer London, 2018. http://dx.doi.org/10.1007/978-1-4471-7420-2_22.

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Shi, Peijun. "Disaster Measurement, Statistics, and Assessment." In IHDP/Future Earth-Integrated Risk Governance Project Series, 167–226. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1852-8_4.

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Shi, Peijun. "Disaster Measurement, Statistics, and Assessment." In IHDP/Future Earth-Integrated Risk Governance Project Series, 165–224. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6689-5_4.

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Gałecki, Andrzej, and Tomasz Burzykowski. "SII Project: Modeling Gains in Mathematics Achievement-Scores." In Springer Texts in Statistics, 431–63. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-3900-4_18.

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Conference papers on the topic "Statistics project"

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Mestres, Francisco, and Concepció Arenas. "STATISTICS IN ACTION: USING STATISTICS IN THE FINAL DEGREE PROJECT." In International Conference on Education and New Learning Technologies. IATED, 2016. http://dx.doi.org/10.21125/edulearn.2016.0383.

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Santiago Acosta, Rubén Darío, Raúl Martínez Rosado, and Ernesto Manuel Hernández Cooper. "PROJECT BASED LEARNING IN A STATISTICS COURSES." In 13th International Technology, Education and Development Conference. IATED, 2019. http://dx.doi.org/10.21125/inted.2019.2437.

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Williams, Trefor P., Sudha Lakshminarayanan, and Harold Sackrowitz. "Analyzing Bidding Statistics to Predict Completed Project Cost." In International Conference on Computing in Civil Engineering 2005. Reston, VA: American Society of Civil Engineers, 2005. http://dx.doi.org/10.1061/40794(179)157.

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"WHICH IS BETTER INNOVATIVE INVESTMENT - An Empirical Analysis of Statistics from Chinese Industrial Undertakings." In Special Session on Project Management and Service Science. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003614806170628.

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Maryati, Iyam, and Sri Widodo. "Statistics with Project-Based Learning in Junior High School." In International Conference of Science and Technology for the Internet of Things. EAI, 2019. http://dx.doi.org/10.4108/eai.19-10-2018.2281298.

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Barbosa, Tiago, Sergio F. Lopes, Filomena Soares, Vitor Carvalho, and Celina P. Leao. "An Adaptive Serious Game of Statistics: project development and mechanisms." In 2019 5th Experiment Conference (exp.at'19). IEEE, 2019. http://dx.doi.org/10.1109/expat.2019.8876547.

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Deng, Shiwen, Jiqing Han, Chaozhu Zhang, Tieran Zheng, and Guibin Zheng. "Robust minimum statistics project coefficients feature for acoustic environment recognition." In ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2014. http://dx.doi.org/10.1109/icassp.2014.6855206.

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Kulas, John, Marlee Wanamaker, Diuky Padron-Marrero, and Hui Xu. "Sample Size Sensitivity in Descriptive Baseball Statistics." In CARMA 2020 - 3rd International Conference on Advanced Research Methods and Analytics. Valencia: Universitat Politècnica de València, 2020. http://dx.doi.org/10.4995/carma2020.2020.11643.

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This paper presents one element of a larger project that probes for systematicand predictable patterns of variability/volatility in baseball's descriptivestatistics. The larger project standardizes many baseball indices along anevent metric and provides relative estimates of each index’s point of inflectiontoward an empirical asymptote. Specifically these estimates reflect deviationsin sensitivity to “sample size” (e.g., which descriptive statistics are more orless robust across events). The end purpose of this broader investigation is aqualifier to be associated with such statistics: sample size sensitivity (TripleS). Not because it's needed, but because, colloquially, discussions of baseballstatistics are commonly qualified by the cautionary statement, "well, it's asmall sample size". The current presentation highlights the process and resultsof estimating the logarithmic event function of one statistic, batting average,and we will provide real-time projections of accuracy (our estimated functionversus in-coming baseball data that occurs during the CARMA conference).Results have implications for the integration of BigData applications intodigestable summary statistics that appeal to a broad-reaching audience withpractical implications and meaning.
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Aziz, Hina, Sadaf Munir, and Muhammad Sufian. "Conflict Handling In Project Management: A Risk Assessment Analysis." In 2018 12th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS). IEEE, 2018. http://dx.doi.org/10.1109/macs.2018.8628332.

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Xia, Qian, and Qiuping Wei. "Analysis on the Necessity and Reasonableness of Project Management of Dangerous Cargo Declaration." In 2017 International Conference on Economics, Finance and Statistics (ICEFS 2017). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/icefs-17.2017.76.

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Reports on the topic "Statistics project"

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Carlson, Andrew, Tom M. Mitchell, and Ian Fette. Data Analysis Project: Leveraging Massive Textual Corpora Using n-Gram Statistics. Fort Belvoir, VA: Defense Technical Information Center, May 2008. http://dx.doi.org/10.21236/ada485623.

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Wong Espejo, Andrei. Government Statistics and Measures of Wellbeing. Institute of Development Studies (IDS), March 2021. http://dx.doi.org/10.19088/ids.2021.029.

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A systematic literature review and coping exercise of datasets and data availability on the wellbeing of migrants, globally, but with a particular focus on Finland, India, Norway and the United Kingdom. This an output to inform further investigative research on the Displacement, Placemaking and Wellbeing in the City (DWELL) project, funded by ESRC.
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Myers, Nicholas, and Angus Phimister. Optional Projects for an Introductory Statistics Course. Bristol, UK: The Economics Network, July 2016. http://dx.doi.org/10.53593/n2870a.

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Tarko, Andrew P., Mario Romero, Cristhian Lizarazo, and Paul Pineda. Statistical Analysis of Safety Improvements and Integration into Project Design Process. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317121.

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RoadHAT is a tool developed by the Center for Road Safety and implemented for the INDOT safety management practice to help identify both safety needs and relevant road improvements. This study has modified the tool to facilitate a quick and convenient comparison of various design alternatives in the preliminary design stage for scoping small and medium safety-improvement projects. The modified RoadHAT 4D incorporates a statistical estimation of the Crash Reduction Factors based on a before-and-after analysis of multiple treated and control sites with EB correction for the regression-to-mean effect. The new version also includes the updated Safety Performance Functions, revised average costs of crashes, and the comprehensive table of Crash Modification Factors—all updated to reflect current Indiana conditions. The documentation includes updated Guidelines for Roadway Safety Improvements. The improved tool will be implemented at a sequence of workshops for the final end users and preceded with a beta-testing phase involving a small group of INDOT engineers.
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Rutherford, B. M., I. J. Hall, R. R. Peters, R. G. Easterling, and E. A. Klavetter. Statistical analysis of hydrologic data for Yucca Mountain; Yucca Mountain Site Characterization Project. Office of Scientific and Technical Information (OSTI), February 1992. http://dx.doi.org/10.2172/138373.

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Optenberg, Scott A., Barbara Wojcik, and Paulinda Pangaldan. Tri-Service Champus Statistical Database Project (TCSDP): Champus Ambulatory Data Analysis. Summary Report. Fort Belvoir, VA: Defense Technical Information Center, February 1993. http://dx.doi.org/10.21236/ada277997.

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Bruenger, F. W., and R. D. Lloyd. [Completion of the dog toxicity project at the University of Utah: statistical comparison]. Office of Scientific and Technical Information (OSTI), December 1999. http://dx.doi.org/10.2172/762825.

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Kim, Changmo, Ghazan Khan, Brent Nguyen, and Emily L. Hoang. Development of a Statistical Model to Predict Materials’ Unit Prices for Future Maintenance and Rehabilitation in Highway Life Cycle Cost Analysis. Mineta Transportation Institute, December 2020. http://dx.doi.org/10.31979/mti.2020.1806.

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The main objectives of this study are to investigate the trends in primary pavement materials’ unit price over time and to develop statistical models and guidelines for using predictive unit prices of pavement materials instead of uniform unit prices in life cycle cost analysis (LCCA) for future maintenance and rehabilitation (M&R) projects. Various socio-economic data were collected for the past 20 years (1997–2018) in California, including oil price, population, government expenditure in transportation, vehicle registration, and other key variables, in order to identify factors affecting pavement materials’ unit price. Additionally, the unit price records of the popular pavement materials were categorized by project size (small, medium, large, and extra-large). The critical variables were chosen after identifying their correlations, and the future values of each variable were predicted through time-series analysis. Multiple regression models using selected socio-economic variables were developed to predict the future values of pavement materials’ unit price. A case study was used to compare the results between the uniform unit prices in the current LCCA procedures and the unit prices predicted in this study. In LCCA, long-term prediction involves uncertainties due to unexpected economic trends and industrial demand and supply conditions. Economic recessions and a global pandemic are examples of unexpected events which can have a significant influence on variations in material unit prices and project costs. Nevertheless, the data-driven scientific approach as described in this research reduces risk caused by such uncertainties and enables reasonable predictions for the future. The statistical models developed to predict the future unit prices of the pavement materials through this research can be implemented to enhance the current LCCA procedure and predict more realistic unit prices and project costs for the future M&R activities, thus promoting the most cost-effective alternative in LCCA.
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9

Würth, Stéphanie. SNSF Datastory - Emma – on her way to a professorship? Swiss National Science Foundation, May 2021. http://dx.doi.org/10.46446/datastory.emma-on-her-way-to-a-professorship.

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Using Emma* as an example, we profile the career path of an early career researcher whose PhD was financed by an SNSF project. To this end, we combined and analysed data from the Federal Statistical Office (FSO) and the SNSF. *Emma is a pseudonym.
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10

Outes Velarde, Juliana, Eleanor Carter, and Ruairi Macdonald. INDIGO Impact Bond Insights. Government Outcomes Lab, July 2021. http://dx.doi.org/10.35489/bsg-golab-ri_2021/001.

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This report is part of the GO Lab-supported International Network for Data on Impact and Government Outcomes (INDIGO). This report reflects on the general landscape of impact bond projects across the world. The first section analyses the countries leading the way with impact bonds in a number of categories and it also examines the distribution of projects across different policy sectors. The second section provides an overview of international impact bonds - projects where at least one of the outcome payers is located in a different country to the location of service delivery. It presents key statistics on international impact bonds, and analyses their distribution across policy areas and geographies. The last section features the projects of the Life Chances Fund. This report uses data as of 01 July 2021.
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