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Artykuły w czasopismach na temat "Mathematical statistics"

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McCullough, B. D. "Mathematical Statistics With Mathematica." Journal of the American Statistical Association 97, no. 460 (2002): 1202–3. http://dx.doi.org/10.1198/jasa.2002.s230.

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Attwood, G. B., John E. Freund, and Ronald E. Walpole. "Mathematical Statistics." Mathematical Gazette 72, no. 459 (1988): 76. http://dx.doi.org/10.2307/3618025.

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Lindley, D. V., A. A. Borovkov, and A. Moullagaliev. "Mathematical Statistics." Mathematical Gazette 83, no. 497 (1999): 374. http://dx.doi.org/10.2307/3619119.

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Strawderman, William E., and Jun Shao. "Mathematical Statistics." Journal of the American Statistical Association 95, no. 449 (2000): 329. http://dx.doi.org/10.2307/2669561.

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Jammalamadaka, Sreenivasa Rao, and A. A. Borovkov. "Mathematical Statistics." Journal of the American Statistical Association 95, no. 449 (2000): 330. http://dx.doi.org/10.2307/2669562.

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Pillers Dobler, Carolyn. "Mathematical Statistics." American Statistician 56, no. 4 (2002): 332. http://dx.doi.org/10.1198/tas.2002.s204.

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Geyer, C. "Mathematical Statistics." Journal of the American Statistical Association 96, no. 454 (2001): 779. http://dx.doi.org/10.1198/jasa.2001.s397.

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Massam, Hélène. "Mathematical Statistics." Journal of Statistical Planning and Inference 92, no. 1-2 (2001): 305–6. http://dx.doi.org/10.1016/s0378-3758(00)00154-3.

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KRASNOZHON, O. B., та V. V. MATSIUK. "КОМП’ЮТЕРНО-ОРІЄНТОВАНІ ЕЛЕМЕНТИ НАВЧАННЯ МАТЕМАТИЧНИХ ДИСЦИПЛІН МАЙБУТНІХ УЧИТЕЛІВ МАТЕМАТИКИ". Scientific papers of Berdiansk State Pedagogical University Series Pedagogical sciences 1, № 2 (2021): 255–62. http://dx.doi.org/10.31494/2412-9208-2021-1-2-255-262.

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The article is devoted to the issues of constructing effective computer-oriented components of the methodological system of teaching the disciplines «Linear Algebra» and «Probability Theory with Elements of Mathematical Statistics» provided for in the educational and professional program «Secondary Education (Mathematics)» of the first level of higher education in the specialty 014 Secondary Education (Mathematics). The article analyzes the methodological aspects of the effective organization of computations when finding the angle between a given vector and a nonzero subspace of Euclidean spac
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Madsen, Richard, Edward J. Dudewicz, and Satya N. Mishra. "Modern Mathematical Statistics." Journal of the American Statistical Association 84, no. 405 (1989): 335. http://dx.doi.org/10.2307/2289889.

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Rozprawy doktorskie na temat "Mathematical statistics"

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Carlqvist, Håkan. "Multiscale analysis of multi-channel signals." Doctoral thesis, KTH, Matematik (Avd.), 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230.

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I: Amplitude and phase relationship between alpha and beta oscillations in the human EEG We have studied the relation between two oscillatory patterns within EEG signals (oscillations with main frequency 10 Hz and 20 Hz), with wavelet-based methods. For better comparison, a variant of the continuous wavelet transform, was derived. As a conclusion, the two patterns were closely related and 70-90 % of the activity in the 20 Hz pattern could be seen as a resonance phenomenon of the 10 Hz activity. II: A local discriminant basis algorithm using wavelet packets for discrimination between classes of
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Tovo, Anna. "Mathematical modelling and statistics of biodiversity." Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3421944.

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Life on Earth is characterised by an amazing variety of living forms which are in continuous evolution to better adapt to the surrounding environment and highly connected one to the other. A deep investigation of different living systems has recently been favoured by the huge quantity of data nowadays available. The present thesis is the final result of a journey through complex patterns in theoretical ecology. We study both models and issues in data analysis as well as the connections between them within a mathematical framework. In particular, we explore the different aspects of the biodiv
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Parks, Sarah Louise. "Mathematical models and statistics for evolutionary inference." Thesis, University of Cambridge, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.708749.

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Hua, Hairui. "Survival modelling in mathematical and medical statistics." Thesis, University of Birmingham, 2015. http://etheses.bham.ac.uk//id/eprint/5808/.

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An essential aspect of survival analysis is the estimation and prediction of survival probabilities for individuals. For this purpose, mathematical modelling of the hazard rate function is a fundamental issue. This thesis focuses on the novel estimation and application of hazard rate functions in mathematical and medical research. In mathematical research we focus on the development of a semiparametric kernel-based estimate of hazard rate function and a L\(_1\) error optimal kernel hazard rate estimate. In medical research we concentrate on the development and validation of survival models usi
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Thulin, Måns. "On two classic problems in statistics." Licentiate thesis, Uppsala universitet, Matematisk statistik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-171962.

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Groth, Randall E. Langrall Cynthia Willey Mooney Edward S. "Development of a high school statistical thinking framework." Normal, Ill. Illinois State University, 2003. http://wwwlib.umi.com/cr/ilstu/fullcit?p3087867.

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Thesis (Ph. D.)--Illinois State University, 2003.<br>Title from title page screen, viewed November 10, 2005. Dissertation Committee: Cynthia W. Langrall, Edward S. Mooney (co-chair), Beverly J. Hartter, Sharon S. McCrone. Includes bibliographical references (leaves 199-212) and abstract. Also available in print.
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Zhang, You You. "Brownian excursions in mathematical finance." Thesis, London School of Economics and Political Science (University of London), 2014. http://etheses.lse.ac.uk/3058/.

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The Brownian excursion is defined as a standard Brownian motion conditioned on starting and ending at zero and staying positive in between. The first part of the thesis deals with functionals of the Brownian excursion, including first hitting time, last passage time, maximum and the time it is achieved. Our original contribution to knowledge is the derivation of the joint probability of the maximum and the time it is achieved. We include a financial application of our probabilistic results on Parisian default risk of zero-coupon bonds. In the second part of the thesis the Parisian, occupation
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Rezaei, Sadegh. "The mathematical analysis of crossover designs." Title page, contents and summary only, 1997. http://web4.library.adelaide.edu.au/theses/09PH/09phr4668.pdf.

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Paine, Andrew Steven. "The mathematical modelling of rock blasting." Thesis, University of Southampton, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.315504.

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Fletcher, Matthew. "Mathematical topics in coding and cryptology." Thesis, University of Bath, 1992. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.317570.

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Książki na temat "Mathematical statistics"

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Rose, Colin, and Murray D. Smith. Mathematical Statistics with Mathematica®. Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4612-2072-5.

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Rasch, Dieter, and Dieter Schott. Mathematical Statistics. John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119385295.

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Rossi, Richard J. Mathematical Statistics. John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781118771075.

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Shao, Jun. Mathematical Statistics. Springer New York, 2003. http://dx.doi.org/10.1007/b97553.

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Pfanzagl, Johann. Mathematical Statistics. Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-642-31084-3.

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Arnold, Steven F. Mathematical statistics. Prentice-Hall International, 1990.

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E, Walpole Ronald, ed. Mathematical statistics. 4th ed. Prentice-Hall, 1987.

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E, Freund John. Mathematical statistics. 5th ed. Prentice Hall, 1992.

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E, Freund John. Mathematical statistics. 4th ed. Prentice-Hall International, 1987.

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Shao, Jun. Mathematical statistics. 2nd ed. Springer, 2010.

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Części książek na temat "Mathematical statistics"

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Cipra, Tomáš. "Mathematical Statistics." In Survey of Applicable Mathematics. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-015-8308-4_34.

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Abraham, Douglas A. "Mathematical Statistics." In Modern Acoustics and Signal Processing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-92983-5_5.

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Csáki, Endre. "Mathematical Statistics." In Bolyai Society Mathematical Studies. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-30721-1_16.

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Rose, Colin, and Murray D. Smith. "mathStatica: Mathematical Statistics with Mathematica." In Compstat. Physica-Verlag HD, 2002. http://dx.doi.org/10.1007/978-3-642-57489-4_66.

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Flury, Bernhard, and Hans Riedwyl. "Mathematical appendix." In Multivariate Statistics. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-1217-5_13.

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Birolini, Alessandro. "Basic Mathematical Statistics." In Reliability Engineering. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-662-03792-8_16.

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Maccone, Claudio. "Societal statistics by the statistical Drake equation." In Mathematical SETI. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27437-4_9.

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Manoukian, Edward B. "Order Statistics." In Mathematical Nonparametric Statistics. Routledge, 2022. http://dx.doi.org/10.1201/9780203749340-2.

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Saunders, Sam C. "Mathematical Appendix." In Springer Series in Statistics. Springer New York, 2007. http://dx.doi.org/10.1007/978-0-387-48538-6_16.

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Pfeiffer, Paul E. "Mathematical Expectation." In Springer Texts in Statistics. Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4615-7676-1_15.

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Streszczenia konferencji na temat "Mathematical statistics"

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Kuzmak, Sylvia. "Mapping knowledge for probability and statistics application: mathematical and non-mathematical." In Promoting Understanding of Statistics about Society. International Association for Statistical Education, 2016. http://dx.doi.org/10.52041/srap.16105.

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A mapping (a cognitive analysis) of knowledge used in the effective application of probability and statistics in real world situations is presented, identifying both mathematical and non- mathematical knowledge involved. The fundamental role of domain-related knowledge and expertise is emphasized, with illustrations provided using applications involving social data. Use of the knowledge mapping to support improvement of educational practice is proposed, including its use as a basis to evaluate the completeness of current curriculum and instruction in applied probability and statistics, to guid
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del Pino, Guido, and Ana Araneda. "Connecting mathematical and statistical teaching: the role of statistical variables." In Advances in Statistics Education: Developments, Experiences, and Assessments. International Association for Statistical Education, 2015. http://dx.doi.org/10.52041/srap.15117.

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Teaching statistics is unappealing to most high school teachers, in part due to their deficient university training in this field and to the fact that people with a strong mathematical preparation tend to look down on areas that use only elementary mathematics. To lessen this problem this paper establishes some connections between descriptive statistics, probability, and mathematics, comparing statistical variables, random variables, and functions. Several arguments are given to justify that in statistical applications, it is not the function representing the variable that matters, but the key
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Gattuso, Linda. "Mathematics in a statistical context?" In Joint ICMI/IASE Study: Teaching Statistics in School Mathematics. International Association for Statistical Education, 2008. http://dx.doi.org/10.52041/srap.08701.

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Statistics is often taught as part of the mathematical curriculum in schools by mathematics teachers who often do not feel prepared to include it in their practice. They feel that they are stealing time that would be better used if dedicated to mathematics. We believe, however, that it is possible to develop a collaboration between the teaching of mathematics and the teaching of statistics. Using statistics as a realistic context to work on certain mathematical concepts can provide significant motivation for students. To accomplish this, it is essential to highlight the mathematical concepts u
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Watanabe, S., M. Fukushima, Yu V. Prohorov, and A. N. Shiryaev. "PROBABILITY THEORY AND MATHEMATICAL STATISTICS." In Seventh Japan–Russia Symposium. WORLD SCIENTIFIC, 1996. http://dx.doi.org/10.1142/9789814532181.

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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 tec
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Ottaviani, Maria Gabriella, and Silio Rigatti Luchini. "“Data and Predictions” Emerging as One of the Basic Themes in the Mathematical Curriculum of the First Cycle School Level in Italy." In Curricular Development in Statistics Education. International Association for Statistical Education, 2004. http://dx.doi.org/10.52041/srap.04501.

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In the reform of the Italian school system, a new pedagogical point of view has shifted attention away from content and skills and toward competencies. Also contributing to the proposal of a new mathematical curriculum is a new way of looking at mathematics that takes globalised societal needs into consideration. This paper describes the role of the Italian Statistical Society (SIS) in proposing knowledge and skills of the “Data and predictions” nucleus, which has emerged as one of the basic themes in the new mathematics curriculum. We present the guidelines which have been implemented to enha
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Ulrychová, Eva, and Diana Bílková. "Students’ knowledge of mathematical definitions." In International Days of Statistics and Economics 2019. Libuše Macáková, MELANDRIUM, 2019. http://dx.doi.org/10.18267/pr.2019.los.186.156.

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Chopperfield, James, Siu-Ming Tam, and Paul Schubert. "Building expertise in mathematical statistics within the Australian bureau of statistics through partnerships with academics." In Statistics education for Progress: Youth and Official Statistics. International Association for Statistical Education, 2013. http://dx.doi.org/10.52041/srap.131001.

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Australian Bureau of Statistics recognises the critical importance that its statistical products and services are underpinned by defensive statistical methodology. To this end, the Australian Bureau of Statistics has developed strong partnerships with academics and universities in order to assist with the recruitment of graduates and their development into research leaders in mathematical statisticians. This paper describes the details of the partnerships since 2004 and some of the important benefits.
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Parsian, Ahmad, and Ali Rejali. "A report on preparing mathematics teachers to teach statistics in high school." In Joint ICMI/IASE Study: Teaching Statistics in School Mathematics. International Association for Statistical Education, 2008. http://dx.doi.org/10.52041/srap.08602.

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In order to meet the goal of popularizing statistical concepts in Iranian society at large, the Iranian Statistical Society (IRSS), in cooperation with the Iranian Association of Mathematics Teachers’ Societies (IAMTS), have convinced the Ministry of Education to include one statistics course in the national school curriculum. Unfortunately, due to the lack of statistics specialists in the school system, this course has been usually taught by teachers of mathematics, who often confuse statistical thinking with statistical methods, and do not realize that there is a difference between mathemati
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Bogdanov, Yu I. "Quantum mechanical view of mathematical statistics." In SPIE Proceedings, edited by Yuri I. Ozhigov. SPIE, 2006. http://dx.doi.org/10.1117/12.683116.

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Raporty organizacyjne na temat "Mathematical statistics"

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Liskina, E. YU. Electronic textbook «Mathematical statistics» for students of the fields of study 01.03.01 Mathematics, 01.03.05 Statistics. Ryazan State University named for S.Yesenin, 2024. http://dx.doi.org/10.12731/ofernio.2024.25301.

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Ilyin, M. E. The distance learning course «Theory of probability, mathematical statistics and random functions». OFERNIO, 2018. http://dx.doi.org/10.12731/ofernio.2018.23529.

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Wang, Zhi, Mark Gehlhar, and Shunli Yao. Reconciling Trade Statistics from China, Hong Kong and Their Major Trading Partners--A Mathematical Programming Approach. GTAP Technical Paper, 2007. http://dx.doi.org/10.21642/gtap.tp27.

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This paper develops a mathematical programming model to simultaneously estimate re-export markups and reconcile bilateral trade statistics between China, Hong Kong, and their trading partners. The model is applied to sector level trade flows to resolve discrepant reporting in an efficient manner. Adjustments in trade flows are based upon statistical reporters’ reliability information. The program is implemented in GAMS and retains many desirable theoretical and empirical properties. Estimates are used for generating trade flows and markups for Hong Kong’s re-exports used in the forthcoming ver
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Lovianova, Iryna V., Dmytro Ye Bobyliev, and Aleksandr D. Uchitel. Cloud calculations within the optional course Optimization Problems for 10th-11th graders. [б. в.], 2019. http://dx.doi.org/10.31812/123456789/3267.

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The article deals with the problem of introducing cloud calculations into 10th-11th graders’ training to solve optimization problems in the context of the STEM-education concept. After analyzing existing programmes of optional courses on optimization problems, the programme of the optional course Optimization Problems has been developed and substantiated implying solution of problems by the cloud environment CoCalc. It is a routine calculating operation and not a mathematical model that is accentuated in the programme. It allows considering more problems which are close to reality without adap
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Orbán, Levente. Understanding Hypothesis Testing and the t-test. Orban Foundation, 2025. https://doi.org/10.69642/9543.

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This lecture note provides an accessible and pedagogically informed walkthrough of null hypothesis significance testing (NHST) and the t-test, based on a live undergraduate statistics lecture. I discuss both independent and related samples t-tests, common assumptions and their verification, and show how to manually implement these tests using R. Emphasis is placed on conceptual clarity, mathematical underpinnings, and hands-on implementation.
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Olefirenko, Nadiia V., Ilona I. Kostikova, Nataliia O. Ponomarova, Kateryna O. Lebedieva, Vira M. Andriievska, and Andrey V. Pikilnyak. Training elementary school teachers-to-be at Computer Science lessons to evaluate e-tools. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3890.

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The study purpose is to develop methodological support for students’ training for evaluation e-tools for young learners and to check its effectiveness experimentally. The module “Expert evaluation of the quality of e-tools for young learners” is offered for teachers-to-be. The determination of the weighting factor of each criterion by expert evaluations was organized. Educational principles, correlation e-tool content with the curriculum, interactivity, multimedia, assistance system, ergonomic requirements are mentioned. On the basis of the criterion rank, the significance of each criterion wa
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Peters, Vanessa, Deblina Pakhira, Latia White, Rita Fennelly-Atkinson, and Barbara Means. Designing Gateway Statistics and Chemistry Courses for Today’s Students: Case Studies of Postsecondary Course Innovations. Digital Promise, 2022. http://dx.doi.org/10.51388/20.500.12265/162.

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Scholars of teaching and learning examine the impacts of pedagogical decisions on students’ learning and course success. In this report, we describes findings from case studies of eight innovative postsecondary introductory statistics and general chemistry courses that have evidence of improving student completion rates for minoritized and low-income students. The goal of the case studies was to identify the course design elements and pedagogical practices that were implemented by faculty. To identify courses, Digital Promise sought nominations from experts in statistics and chemistry educatio
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Orban, Levente. Standardization and Standard Error of the Mean in Psychological Statistics. Orban Foundation, 2025. https://doi.org/10.69642/2905.

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This lecture explores the concepts of standardization and the standard error of the mean (SEM) in psychological statistics. Standardization enables comparability across variables measured on different scales, while SEM quantifies the uncertainty of sample means in relation to the population mean. We derive these concepts mathematically and implement them using base R to reinforce statistical reasoning in psychological research.
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Kvasnytsia, Olha, Iryna Sniadanko, and Khrystyna Verbytska. THE ROLE OF SENSE OF LIFE ORIENTATIONS IN THE FORMATION OF EXISTENTIAL FULFILLMENT OF STUDENT-JOURNALISTS. Ivan Franko National University of Lviv, 2025. https://doi.org/10.30970/vjo.2025.56.13277.

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Aim. The purpose of the article is to analyse the relationship between the level of existential fulfillment, sense- of- life and value orientations of students majoring in “Journalism”. The results of the study will contribute to the psychological preparation of students majoring in journalism for future professional activities. The article is based on the analysis of the relationship between the level of existential fulfillment, sense-of -life and value orientations of students majoring in “Journalism”. The article reveals the content and significance of existential fulfillment, sense-of-life
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Clausen, Jay, Christopher Felt, Michael Musty, et al. Modernizing environmental signature physics for target detection—Phase 3. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/43442.

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The present effort (Phase 3) builds on our previously published prior efforts (Phases 1 and 2), which examined methods of determining the probability of detection and false alarm rates using thermal infrared for buried object detection. Environmental phenomenological effects are often represented in weather forecasts in a relatively coarse, hourly resolution, which introduces concerns such as exclusion or misrepresentation of ephemera or lags in timing when using this data as an input for the Army’s Tactical Assault Kit software system. Additionally, the direct application of observed temperat
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