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Letteratura scientifica selezionata sul tema "Statistical"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 5 luglio 2025

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Articoli di riviste sul tema "Statistical"

Vinciotti, Veronica, and Ernst C. Wit. "Statistica Neerlandica special issue on Statistical Network Science." Statistica Neerlandica 74, no. 3 (July 15, 2020): 220–21. http://dx.doi.org/10.1111/stan.12212.

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LAMB, CHRISTOPHER R. "STATISTICAL BRIEFING: STATISTICAL POWER." Veterinary Radiology & Ultrasound 50, no. 3 (May 2009): 336. http://dx.doi.org/10.1111/j.1740-8261.2009.01546.x.

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Çakan, Celal, and Bilal Altay. "Statistically boundedness and statistical core of double sequences." Journal of Mathematical Analysis and Applications 317, no. 2 (May 2006): 690–97. http://dx.doi.org/10.1016/j.jmaa.2005.06.006.

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Nuray, Fatih. "Lacunary weak statistical convergence." Mathematica Bohemica 136, no. 3 (2011): 259–68. http://dx.doi.org/10.21136/mb.2011.141648.

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Begum, Hasina. "Statistical Analysis in GWAS." International Journal of Science and Research (IJSR) 12, no. 12 (December 5, 2023): 1072–78. http://dx.doi.org/10.21275/sr231215085226.

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International Monetary Fund. "Algeria: Statistical Appendix: Statistical Appendix." IMF Staff Country Reports 13, no. 49 (2013): 1. http://dx.doi.org/10.5089/9781475535648.002.

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Hahn, Gerald J., Necip Doganaksoy, and William Q. Meeker. "Statistical intervals, not statistical significance." Significance 16, no. 4 (July 24, 2019): 20–22. http://dx.doi.org/10.1111/j.1740-9713.2019.01298.x.

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Lê, Hông Vân. "Statistical manifolds are statistical models." Journal of Geometry 84, no. 1-2 (March 2006): 83–93. http://dx.doi.org/10.1007/s00022-005-0030-0.

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HU, DIHE. "I.I.D. STATISTICAL CONTRACTION OPERATORS AND STATISTICALLY SELF-SIMILAR SETS." Chinese Annals of Mathematics 23, no. 04 (October 2002): 461–68. http://dx.doi.org/10.1142/s0252959902000420.

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Htoon, Hla Myint, Yiong Huak Chan, and John Carson Allen. "Behind Every Familiar Statistical Test is a Famous Statistician." Proceedings of Singapore Healthcare 21, no. 3 (September 2012): 217–19. http://dx.doi.org/10.1177/201010581202100312.

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Tesi sul tema "Statistical"

Tauber, Vojtěch. "Vývoj právní úpravy postavení a organizace statistické služby v Československu 1918 - 1938." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-201593.

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This diploma thesis examines the legislation of the status and organisation of the statistical service in Czechoslovakia in the years 1918-1938 which has lacked sufficient exploration. In this period, statistics referring to public administration was centralised and under the responsibility of the State Statistical Council and the State Statistical Office. These institutions are given special attention, particularly issues associated with their intricate aspects: personnel, budget and location. While the State Statistical Office was one of the central government authorities in Czechoslovakia, the State Statistical Council had the nature of an advisory body and an independent decision-making authority. The centralisation did not apply to statistical surveys carried out by certain cities. This thesis uses primarily unpublished archive materials and published sources concerning the activities of the State Statistical Office and the State Statistical Council.

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Kouba, Pavel. "Možnost zavedení a využívání metody SPC ve výrobě v organizaci s.n.o.p CZ, a.s." Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-16319.

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The diploma paper is devoted to verification the application of SPC methods and performs evaluation of statistical stability and process eligibility of steel stampings in the real production process. In the second part is the author of the paper trying to design the optimal form of SPC methods for its use in a specified manufacturing process.

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Postler, Štěpán. "Statistická analýza ve webovém prostředí." Master's thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-199226.

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The aim of this thesis is creating a web application that allows dataset import and analyzing data with use of statistical methods. The application uses a user access that allows multiple number of persons manipulate with a single dataset, as well as interact with each other. Data is stored on a remote server and application is accessible from any computer that is connected to the Internet. The application is created in PHP programming language with use of MySQL database system, and user interface is built in HTML language with use of CSS styles. All parts of application are stored on an attached CD in form of text files. In addition to the web application, a part of the thesis is also a text output, which contains a theoretical part in form of description of the chosen statistical analysis methods, and a practical part containing list of application's functions, data model's description and demonstration of data analysis options on specific examples.

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Marohn, Frank [Verfasser]. "On statistical information of extreme order statistics / Frank Marohn." Würzburg : Universität Würzburg, 2010. http://d-nb.info/1101947373/34.

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Obi, Jude Chukwura. "Application of statistical computing to statistical learning." Thesis, University of Leeds, 2016. http://etheses.whiterose.ac.uk/16741/.

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This study focuses on supervised learning, an aspect of statistical learning. The supervised learning is concerned with prediction, and prediction problems are distinguished by the output predicted. The output of prediction is either a categorical or continuous variable. If the output is a categorical variable, we have classification otherwise what obtains is regression. We therefore identify classification and regression as two prediction tools. We further identify many features commonly shared by these prediction tools, and as a result, opine that it may be possible to use a regression function in classification or vice versa. Thus, we direct our research towards classification,and intend to: (i) Compare the differences and similarities between two main classifiers namely, Fisher's Discriminant Analysis (FDA) and Support Vector Machine (SVM). (ii) Introduce a regression based classification function, with acronym RDA (Regression Discriminant Analysis). (iii) Provide proof that RDA and FDA are identical. (iv) Introduce other classification functions based on multiple regression variants (ridge regression and Lasso) namely, Lasso Discriminant Analysis (LaDA) and Ridge Regression Discriminant Analysis (RRDA). We further conduct experiments using real world datasets to verify if the error rates of RDA and FDA on the same datasets are identical or not. We also conduct similar experiments to verify if differences arising from the error rates of using LaDA, RRDA, FDA and Regularized Fisher's Discriminant Analysis (RFDA) on the same datasets are statistically different from each other or not. In the end, we explore benefits that may derive from the use of LaDA as a classifier, particularly in connection with variable selection.

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Houska, Lukáš. "SÚS a rozvoj statistické vědy v meziválečném období." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-17112.

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The thesis focuses on the creation and functioning of the State statistical office and its contribution to the statistical science and theory development. The main goal of the thesis is to make the readers acquainted with the first period of the czechoslovak state statistics and enable them to get a thorough look into the institution's publication activities. In this concept the thesis is divided into three parts. In the first one the "modus operandi" of the statistical office itself is described, the second part comes up with the State statistical office's most influential personalities' biografical data. The third part brings the description and analysis ot books, magasines and other pieces publication. At the conclusion of the third section the key works of the statistical theory are analysed. The enclosure of the thesis implies the attachment with published laws and regulations of the Czechoslovak republic, which are directly tied to the statistical office's activities, and also the list of pieces published int the two key editions of the publication system. The contribution of the thesis is in the complex insight on the topic of the czechoslovak statistics in the interwar period. By now only some fragments have been compiled and described.

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Zhang, Bo. "Machine Learning on Statistical Manifold." Scholarship @ Claremont, 2017. http://scholarship.claremont.edu/hmc_theses/110.

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This senior thesis project explores and generalizes some fundamental machine learning algorithms from the Euclidean space to the statistical manifold, an abstract space in which each point is a probability distribution. In this thesis, we adapt the optimal separating hyperplane, the k-means clustering method, and the hierarchical clustering method for classifying and clustering probability distributions. In these modifications, we use the statistical distances as a measure of the dissimilarity between objects. We describe a situation where the clustering of probability distributions is needed and useful. We present many interesting and promising empirical clustering results, which demonstrate the statistical-distance-based clustering algorithms often outperform the same algorithms with the Euclidean distance in many complex scenarios. In particular, we apply our statistical-distance-based hierarchical and k-means clustering algorithms to the univariate normal distributions with k = 2 and k = 3 clusters, the bivariate normal distributions with diagonal covariance matrix and k = 3 clusters, and the discrete Poisson distributions with k = 3 clusters. Finally, we prove the k-means clustering algorithm applied on the discrete distributions with the Hellinger distance converges not only to the partial optimal solution but also to the local minimum.

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Whitehead, Andile. "Statistical-thermodynamical analysis, using Tsallis statistics, in high energy physics." Master's thesis, University of Cape Town, 2014. http://hdl.handle.net/11427/13391.

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Includes bibliographical references.<br>Obtained via the maximisation of a modified entropy, the Tsallis distribution has been used to fit the transverse momentum distributions of identified particles from several high energy experiments. We propose a form of the distribution described in Cleymans and Worku, 2012, and show it to be thermodynamically consistent. Transverse momenta distributions and fits from ALICE, ATLAS, and CMS using both Tsallis and Boltzmann distributions are presented.

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Murphy, Toriano A. "Statistical debugging." Thesis, Monterey, Calif. : Naval Postgraduate School, 2008. http://bosun.nps.edu/uhtbin/hyperion-image.exe/08Mar%5FMurphy_Toriano.pdf.

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Thesis (M.S. in Computer Science)--Naval Postgraduate School, March 2008.<br>Thesis Advisor(s): Auguston, Mikhail. "March 2008." Description based on title screen as viewed on May 5, 2008. Includes bibliographical references (p. 91). Also available in print.

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Mueller, Erich H. "Statistical properties of high-energy rod vibrations." Thesis, Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/12116.

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Libri sul tema "Statistical"

Mecke, Klaus R., and Dietrich Stoyan, eds. Statistical Physics and Spatial Statistics. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45043-2.

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Organization, Food and Agriculture, ed. World agricultural statistics: FAO statistical pocketbook. Rome: Food and Agriculture Organization, 1989.

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Communicable Disease Surveillance Centre of the Public Health Laboratory Service (Great Britain), Great Britain. Office of Population Censuses and Surveys., and Great Britain. Government Statistical Service., eds. Communicable disease statistics: 1986 statistical tables. London: H.M.S.O., 1988.

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Muth, James E. De. Basic statistics and pharmaceutical statistical applications. 2nd ed. Boca Raton, FL: Chapman & Hall/CRC, 2006.

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Thirkettle, G. L. Wheldon's business statistics and statistical method. 9th ed. London: Pitman, 1988.

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pārvalde, Latvia Centrālā statistikas. Latvijas statistikas gadagrāmata =: Statistical yearbook of Latvia. Rĭga: Centrālā statistikas pārvalde, 2000.

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pārvalde, Latvia Centrālā statistikas. Latvijas statistikas gadagrāmata =: Statistical yearbook of Latvia. Rĭga: Centrālā statistikas pārvalde, 1999.

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Kubo, R.,Toda, M., Hashitsume, N. Statistical Physics II: Nonequilibrium Statistical Mechanics. Berlin: Springer-Verlag, 1985.

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Kubo, Ryogo. Statistical Physics II: Nonequilibrium Statistical Mechanics. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985.

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Statistical Methods: Statistics. New Delhi: Sultan Chand & Sons, 4792/23, Daryaganj, New Delhi-110002, 1986.

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Capitoli di libri sul tema "Statistical"

Iba, Y. "Bayesian Statistics and Statistical Mechanics." In Springer Series in Synergetics, 235–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74554-6_60.

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Schauer, Frederick. "Statistical (And Non-Statistical) Discrimination." In The Routledge Handbook of the Ethics of Discrimination, 42–53. New York : Routledge, 2017. | Series: Routledge handbooks in applied ethics: Routledge, 2017. http://dx.doi.org/10.4324/9781315681634-5.

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Koehler, Jonathan J. "Misconceptions About Statistics and Statistical Evidence." In Handbook of Trial Consulting, 121–33. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-7569-0_6.

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Singhee, Amith, and Rob A. Rutenbar. "Statistical Blockade: Estimating Rare Event Statistics." In Lecture Notes in Electrical Engineering, 123–69. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-3100-6_3.

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Frude, Neil. "Statistical Analysis V: Non-parametric Statistics." In A Guide to SPSS/PC+, 141–59. London: Palgrave Macmillan UK, 1987. http://dx.doi.org/10.1007/978-1-349-09709-8_13.

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Frude, Neil. "Statistical Analysis V: Non-parametric Statistics." In A Guide to SPSS/PC+, 141–59. New York, NY: Springer New York, 1987. http://dx.doi.org/10.1007/978-1-4757-8985-0_13.

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Sato, Aki-Hiro, and Hiroe Tsubaki. "Statistical Foundations About Grid Square Statistics." In Evaluation Platform of Sustainability for Global Systems, 49–65. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-2296-9_4.

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Giorgio, Massimiliano. "Statistics for Experimental and Technological Research." In A Decade of Research Activities at the Department of Industrial Engineering (UniNa-DII), 137–44. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53397-6_8.

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AbstractThis chapter provides a synthetic overview of research activities and main outcomes of members of the scientific-disciplinary sector “SECS-S/02—Statistica per la Ricerca Sperimentale e Tecnologica” at the University of Naples Federico II, in the decade 2013–2023. Research activities of the group focus on modern statistical problems arising in the field of experimental sciences (statistics and probability calculus, design, and analysis of experiments), notably in engineering (reliability, statistical quality control). The main fields of application concern technology, safety, environment, territory, production processes, products, and natural resources.

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Ewens, Warren J., and Gregory R. Grant. "Statistics (i): An Introduction to Statistical Inference." In Statistical Methods in Bioinformatics, 105–27. New York, NY: Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4757-3247-4_3.

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Molenaar, I. W. "Statistical Consultants and Statistical Expert Systems." In Compstat, 187–92. Heidelberg: Physica-Verlag HD, 1988. http://dx.doi.org/10.1007/978-3-642-46900-8_25.

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Atti di convegni sul tema "Statistical"

Singh, Pankaj, Om Narain Rai, and Ashima Arya. "Web Statistician: An Interactive Approach to Global Statistical Data Analysis." In 2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI), 1–6. IEEE, 2025. https://doi.org/10.1109/icdsaai65575.2025.11011832.

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Schield, Milo. "Statistical prevarication: telling half truths using statistics." In Statistics Education and the Communication of Statistics. International Association for Statistical Education, 2005. http://dx.doi.org/10.52041/srap.05404.

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All too often statistics are characterized as lies. But statistics are more likely to be half truths than lies. This paper studies statistical prevarication – the art of strad- dling both sides of an issue or idea – involving a statistic. This paper studies statis- tical prevarications in everyday use and in statistics education. If statistics educa- tors are to avoid a charge of statistical negligence, they should focus more on iden- tifying and eliminating sources of statistical prevarication in their teaching and textbooks. And statistical educators should do more to help students become statis- tically literate in detecting statistical prevarication.

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Nogales Vasconcelos, Ana, Cauan Braga da Silva Cardoso, and Isabella Figueiredo Vieira. "Learning to portray your reality: teaching statistics to high school students." In Advances in Statistics Education: Developments, Experiences, and Assessments. International Association for Statistical Education, 2015. http://dx.doi.org/10.52041/srap.15113.

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The Institutional Scientific Initiation Scholarship Program (PIBIC) “Learning to Portray Your Reality” seeks to motivate female high school students to apply for undergraduate program in statistics at the University of Brasilia (UnB), to divulge the undergraduate program in statistics at UnB and to promote the statistical education. The high school students learned how to have a statistical thinking, what is the job of a statistician and the roll of statistic in science, as well as some basics concepts of statistics. They also learned how to work with the database available online by the Brazilian Institute of Geography and Statistics (IBGE). Furthermore, it was designed an activity to promote the undergraduate program in statistics at UnB and the learning of the statistic in their school.

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Budgett, Stephanie, and Maxine Pfannkuch. "Assessing students’ statistical literacy." In Assessing Student Learning in Statistics. International Association for Statistical Education, 2007. http://dx.doi.org/10.52041/srap.07201.

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This paper describes the methods and challenges in assessing an undergraduate course entitled Lies, Damned Lies, and Statistics. The course has three main aims: to instill in students the ability to “think statistically”, to enable students to critically evaluate statistically based reports and to teach students to construct statistically sound reports. The assessment is examined in terms of these aims and the criteria developed by Gal (2002) for statistical literacy.

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Goldman, Rich, Kurt Keutzer, C. Bittlestone, A. Bootehsaz, S. Y. Borkar, E. Chen, L. Scheffer, and C. Visweswariah. "Is statistical timing statistically significant?" In the 41st annual conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/996566.996757.

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Zhang, Yunqian, Lin Chen, Bo Jiang, and Zhenyu Zhang. "Wielding Statistical Fault Localization Statistically." In 2012 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW). IEEE, 2012. http://dx.doi.org/10.1109/issrew.2012.51.

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"Is Statistical Timing Statistically Significant?" In DAC04: The 41st Annual Design Automation Conference 2004. New York, NY, USA: ACM, 2004. http://dx.doi.org/10.1145/996566.1025620.

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Jones, Peter, Kay Lipson, and Brian Phillips. "A role for computer intensive methods in introducing statistical inference." In Proceedings of the First Scientific Meeting of the IASE. International Association for Statistical Education, 1993. http://dx.doi.org/10.52041/srap.93311.

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Introductory statistics courses have become increasingly prevalent in a wide variety of undergraduate and graduate programs over the past few years. This has resulted in the study of inferential statistics becoming the norm rather than exception. Whilst statistics was once a course chosen by the more mathematically able student, many current students of statistics have little mathematical aptitude or expertise (Tanis, 1992 for example). As a result, many introductory statistic courses have moved away from including much of the statistical theory that underpins inference to become basically technique oriented "recipe book" courses. the internet danger of producing students capable of performing various complex statistical tests without really knowing what they are doing is obvious, particularly if the house includes the use of a sophisticated statistical computer package.

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BITYUKOV, S. I., V. V. SMIRNOVA, N. V. KRASNIKOV, and V. A. TAPERECHKINA. "STATISTICALLY DUAL DISTRIBUTIONS IN STATISTICAL INFERENCE." In Proceedings of PHYSTAT05. PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO., 2006. http://dx.doi.org/10.1142/9781860948985_0023.

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Alexander, Craig, Eilidh Jack, Michael McEwan, and Mitchum Bock. "Exploring Statistics Anxiety in Several Introductory Statistics Courses to Understand Differences Between Types of Students and Types of Courses." In Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. International Association for Statistical Education, 2022. http://dx.doi.org/10.52041/iase.icots11.t14d3.

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Despite its importance in modern curricula, many students find statistics courses challenging, and the existence of barriers among students to learning statistical reasoning is an important area of study. This study explores the presence and level of statistics anxiety in several cohorts of students studying introductory statistics. The relationship with statistical anxiety dependent on specialisms is explored, along with their curricular choices. An online questionnaire was developed to explore the effects of statistical anxiety and attitudes towards learning statistics. Comparisons were made both within and between the cohorts of students and showed that demographic factors and gender play a minor but statistically significant role in explaining levels of statistical anxiety, but that no significant differences in statistics anxiety existed between cohorts.

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Rapporti di organizzazioni sul tema "Statistical"

Manski, Charles F. Remarks on statistical inference for statistical decisions. The IFS, January 2019. http://dx.doi.org/10.1920/wp.cem.2019.06.

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Manski, Charles F. Remarks on statistical inference for statistical decisions. The IFS, January 2019. http://dx.doi.org/10.1920/wp.cem.2019.0619.

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Mejía-Guerra, José Antonio, Christian Schuster, Magdalena Rojas Wettig, Kim Sass Mikkelsen, and Jan Meyer-Sahling. Managing National Statistical Offices Better: Evidence from a Survey of 13,300 National Statistical Office (NSO) Employees in 14 Latin American and Caribbean Countries. Inter-American Development Bank, November 2023. http://dx.doi.org/10.18235/0005307.

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High-quality official statistics--from inflation to poverty rates--are essential for effective policymaking. Yet, little is known about the statistics officials who produce this statistical data. How competent are they at statistics? How motivated and ethical are they when producing statistics? And do National Statistical Offices (NSOs) manage them effectively? The answers are central to improving statistical capacity. Nonetheless, NSOs have not developed systematic measurement instruments to identify them. This pioneering publication addresses this gap. It presents the results of a survey of 13,300 NSO Employees in 14 Countries in Latin America and the Caribbean. Findings show that statistics officials and their characteristics matter. For instance, greater competence of statistics officials correlates with greater statistical performance of an NSO. Findings also show that most statistics officials are motivated in their jobs and committed to their NSO yet many struggle with basic statistical competencies and are not satisfied with their remunerations. Beneath the surface of average findings, however, lies a landscape of substantial variation among NSOs and within different departments inside the same NSO. These disparities are driven in part by differences in human resources management practices. Certain practices, for instance related to merit recruitment, adequate pay and performance feedback, are associated with greater staff motivation, integrity and competence. The report thus provides a data-informed roadmap to manage NSOs better and a survey instrument to help NSOs around the world measure their own management and staff.

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Research Institute (IFPRI), International Food Policy. Statistical Groupings. Washington, DC: International Food Policy Research Institute, 2014. http://dx.doi.org/10.2499/9780896298460_02.

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Holland, Richard, and Richard St John. Statistical Electromagnetics. Fort Belvoir, VA: Defense Technical Information Center, January 1998. http://dx.doi.org/10.21236/ada388192.

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Ziesler, Pamela, and James Horn. Statistical abstract: 2024. National Park Service, 2025. https://doi.org/10.36967/2310175.

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In the pages that follow, a series of tables and figures display visitor use statistics for calendar year 2024. By documenting visits, hours, and overnight stays across the National Park System, the National Park Service (NPS) Statistical Abstract offers a historical record of visitor use in parks and provides NPS staff and partners with a useful tool for effective management and planning. In 2024, 404 of 433 National Park System units collected and reported visitor use statistics; the remainder are unable to do so for a variety of reasons such as administration by another agency, non-federal land ownership, or new parks that lack staff and facilities for the management of visitor use statistics. The responsibility for compiling and summarizing visitor use statistics resides with the Socioeconomic and Resource Recovery Division in the Natural Resource Stewardship and Science Directorate. The Division relies on the conscientious efforts of NPS field personnel to count, record, and report visitor use. This system of collecting and summarizing monthly visitor use data is combined with continuous review and assessment of park visitor use estimation procedures to promote consistency and accuracy of data. Detailed instructions for the units that collect data, monthly visitation summaries, and reports displaying trends in park visitation are available on the NPS Visitor Use Statistics website.

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Wells, III, and William M. Statistical Object Recognition. Fort Belvoir, VA: Defense Technical Information Center, January 1993. http://dx.doi.org/10.21236/ada270887.

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Bechhofer, Robert E. Statistical Selection Procedures. Fort Belvoir, VA: Defense Technical Information Center, October 1985. http://dx.doi.org/10.21236/ada163863.

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Hahn, A. A. Statistical data analysis. Office of Scientific and Technical Information (OSTI), November 1994. http://dx.doi.org/10.2172/10119859.

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DEFENSE LOGISTICS AGENCY ALEXANDRIA VA. Statistical Indicators Report. Fort Belvoir, VA: Defense Technical Information Center, January 1990. http://dx.doi.org/10.21236/ada235302.

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