Academic literature on the topic 'Statistics - Applications'

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Journal articles on the topic "Statistics - Applications"

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Hoover, Donald R. "Basic Statistics and Pharmaceutical Statistical Applications." Journal of Biopharmaceutical Statistics 25, no. 1 (2015): 226–29. http://dx.doi.org/10.1080/10543406.2015.985162.

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Li, Ning. "Basic Statistics and Pharmaceutical Statistical Applications." Controlled Clinical Trials 21, no. 6 (2000): 593–94. http://dx.doi.org/10.1016/s0197-2456(00)00090-8.

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Dialsingh, Isaac. "Basic Statistics and Pharmaceutical Statistical Applications, 2nd edn." Journal of the Royal Statistical Society: Series A (Statistics in Society) 170, no. 3 (2007): 854–55. http://dx.doi.org/10.1111/j.1467-985x.2007.00485_3.x.

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Kendrach, Mike. "Book Reviews: Basic Statistics and Pharmaceutical Statistical Applications." American Journal of Health-System Pharmacy 58, no. 10 (2001): 923–24. http://dx.doi.org/10.1093/ajhp/58.10.923a.

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Balakrishnan, N., and C. R. Rao. "Handbook of Statistics 17: Order Statistics-Applications." Technometrics 42, no. 4 (2000): 445. http://dx.doi.org/10.1080/00401706.2000.10485751.

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张, 东. "The Probability Properties and Statistical Applications of Order Statistics." Pure Mathematics 14, no. 01 (2024): 53–64. http://dx.doi.org/10.12677/pm.2024.141007.

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Rees, D. G., and Edwin Mansfield. "Basic Statistics with Applications." Statistician 36, no. 1 (1987): 60. http://dx.doi.org/10.2307/2988277.

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Griffiths, David, and W. C. Schefler. "Statistics: Concepts and Applications." Mathematical Gazette 73, no. 465 (1989): 246. http://dx.doi.org/10.2307/3618466.

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Bertrand, Philip V., Harry Frank, and Steven C. Althoen. "Statistics: Concepts and Applications." Mathematical Gazette 80, no. 489 (1996): 637. http://dx.doi.org/10.2307/3618562.

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Borowiak, Dale S., Richard J. Larsen, and Morris L. Marx. "Statistics and Its Applications." Technometrics 28, no. 4 (1986): 403. http://dx.doi.org/10.2307/1268995.

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Dissertations / Theses on the topic "Statistics - Applications"

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Kasebzadeh, Pedram. "Clutter Detection in Radar Applications." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-171547.

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Radars have been used for detection purposes in safety applications (i.e., blind spot detection radar in cars) extensively. The existing detection methods, however, are not flawless. So far, the main focus of these methods is on detecting an object based on its reflectiveness. In this thesis, the limitation of conventional methods are addressed, and alternative approaches are proposed. The main objective is to model/identify the noise with statistical and machine learning approaches as an alternative to conventional methods that focus on the object. The second objective is to improve the time
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Marriott, Paul. "Applications of differential geometry to statistics." Thesis, University of Warwick, 1990. http://wrap.warwick.ac.uk/55719/.

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Chapters 1 and 2 are both surveys of the current work in applying geometry to statistics. Chapter 1 is a broad outline of all the work done so far, while Chapter 2 studies, in particular, the work of Amari and that of Lauritzen. In Chapters 3 and 4 we study some open problems which have been raised by Lauritzen's work. In particular we look in detail at some of the differential geometric theory behind Lauritzen's defmition of a Statistical manifold. The following chapters follow a different line of research. We look at a new non symmetric differential geometric structure which we call a prefer
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RAMAZZOTTI, DANIELE. "An Observational Study: The Effect of Diuretics Administration on Outcomes of Mortality and Mean Duration of I.C.U. Stay." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2012. http://hdl.handle.net/10281/54268.

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This thesis conducts an observational study into whether diuretics should be administered to ICU patients with sepsis when length of stay in the ICU and 30-day post-hospital mortality are considered. The central contribution of the thesis is a stepwise, reusable software-based approach for examining the outcome of treatment vs no-treatment decisions with observational data. The thesis implements, demonstrates and draws findings via three steps: Step 1. Form a study group and prepare modeling variables. Step 2. Model the propensity of the study group with respect to the administration of diuret
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Gustin, Sara. "Investigation of some tests for homogeneity of intensity with applications to insurance data." Thesis, Uppsala universitet, Matematisk statistik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-164588.

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Li, Xiaoxi. "Applications of nonparametric regression in survey statistics." [Ames, Iowa : Iowa State University], 2006.

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Ahmad, Muhammad Idrees. "Applications of statistics in flood frequency analysis." Thesis, University of St Andrews, 1989. http://hdl.handle.net/10023/2666.

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Estimation of the probability of occurrence of future flood events at one or more locations across a river system is frequently required for the design of bridges, culverts, spillways, dams and other engineering works. This study investigates some of the statistical aspects for estimating the flood frequency distribution at a single site and on regional basis. It is demonstrated that generalized logistic (GL) distribution has many properties well suited for the modelling of flood frequency data. The GL distribution performs better than the other commonly recommended flood frequency distributio
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Warnes, J. "Applications of spatial statistics in petroleum geology." Thesis, University of Strathclyde, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.382393.

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Vrahimis, Andreas. "Smoothing methodology with applications to nonparametric statistics." Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/smoothing-methodology-with-applications-to-nonparametric-statistics(6d6567f2-1bfa-4e77-8dbb-71fea7564185).html.

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The work in this thesis is based on kernel smoothing techniques with applications to nonparametric statistical methods and especially kernel density estimation and nonparametric regression. We examine a bootstrap iterative method of choosing the smoothing parameter, in univariate kernel density estimation, and propose an empirical smoothness correction that generally improves the method for small-medium sample sizes tested. In a simulation study performed, the corrected bootstrap iterative method shows consistent overall performance and can compete with other popular widely used methods. The t
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Björnberg, Dag. "Wavelets : Introduction and Applications for Economic Time Series." Thesis, Uppsala universitet, Tillämpad matematik och statistik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-325555.

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Chiu, Jing-Er. "Applications of bayesian methods to arthritis research /." free to MU campus, to others for purchase, 2001. http://wwwlib.umi.com/cr/mo/fullcit?p3036813.

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Books on the topic "Statistics - Applications"

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

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1956-, Balakrishnan N., and Rao C. Radhakrishna 1920-, eds. Order statistics: Applications. Elsevier, 1998.

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Arrell, David. Applications of statistics. Institution of Electrical and Electronics Incorporated Engineers, 1985.

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Anderson, David Ray. Introduction to statistics: Concepts and applications. 2nd ed. West Pub. Co., 1990.

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Anderson, David Ray. Introduction to statistics: Concepts and applications. 3rd ed. West Pub., 1994.

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William, Mendenhall, and Scheaffer Richard L, eds. Mathematical statistics with applications. 7th ed. Thomson Brooks/Cole, 2007.

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William, Mendenhall, Scheaffer Richard L, and Kincaid Charles D, eds. Mathematical statistics with applications. 5th ed. Duxbury Press, 1996.

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William, Mendenhall, and Scheaffer Richard L, eds. Mathematical statistics with applications. 6th ed. Duxbury, 2001.

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L, Scheaffer Richard, and Wackerly Dennis D. 1945-, eds. Mathematical statistics with applications. 3rd ed. Duxbury Press, 1986.

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1945-, Wackerly Dennis D., and Scheaffer Richard L, eds. Mathematical statistics with applications. 4th ed. PWS-Kent Pub. Co., 1990.

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Book chapters on the topic "Statistics - Applications"

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Cohen, Serge, and Jacques Istas. "Statistics." In Fractional Fields and Applications. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36739-7_5.

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Yadav, Shakti Kumar, Sompal Singh, and Ruchika Gupta. "Applications of Statistics." In Biomedical Statistics. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9294-9_1.

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Gentle, James E. "Applications in Statistics." In Statistics and Computing. Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4612-0623-1_6.

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Mathai, A. M., Ram Kishore Saxena, and Hans J. Haubold. "Applications in Statistics." In The H-Function. Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-0916-9_4.

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Prum, Bernard, and Jean Claude Fort. "Statistics and Applications." In Stochastic Processes on a Lattice and Gibbs Measures. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3268-8_10.

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Härdle, Wolfgang Karl, and Zdeněk Hlávka. "Applications in Finance." In Multivariate Statistics. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-36005-3_19.

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Akkerboom, Johan C. "Applications." In Lecture Notes in Statistics. Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4612-3392-3_5.

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Wassmer, Gernot, and Werner Brannath. "Applications." In Springer Series in Pharmaceutical Statistics. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32562-0_5.

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Tenek, Lazarus Teneketzis, and John Argyris. "Computational statistics." In Solid Mechanics and Its Applications. Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-015-9044-0_7.

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Klinke, Sigbert. "Some Statistical Applications." In Contributions to Statistics. Physica-Verlag HD, 1997. http://dx.doi.org/10.1007/978-3-642-59242-3_3.

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Conference papers on the topic "Statistics - Applications"

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Kurtz, Israel, Krishna Joshi, and Azriel Z. Genack. "Statistics of Singularities in the Complex Plane." In CLEO: Applications and Technology. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_at.2024.jtu2a.166.

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Da Dalt, Nicola. "Tutorial: Jitter: Basic and Advanced Concepts, Statistics, and Applications." In 2012 IEEE International Solid- State Circuits Conference - (ISSCC). IEEE, 2012. https://doi.org/10.1109/isscc10053.2012.11005920.

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Lu, Yu, and Roummel F. Marcia. "Noise Model Statistics Regularization for Deep Learning Biomedical Imaging." In 2025 IEEE Medical Measurements & Applications (MeMeA). IEEE, 2025. https://doi.org/10.1109/memea65319.2025.11068001.

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Chan, Jasmine. "Analysis of variance and its applications in Macau educational resarches." In Statistics education for Progress: Youth and Official Statistics. International Association for Statistical Education, 2013. http://dx.doi.org/10.52041/srap.13302.

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In 2012, Macau government approved and passed the “System Framework for Private School Teaching Staff of Non-tertiary Education” in the legislative council. It is aimed at improving non-tertiary teachers’ professionalism in terms of setting hierarchies and provides training continuously. Teachers having a high level of research capacity can improve and solve education issues in Macau. Education Statistics are one of the important methods in research capacity. To develop this idea, therefore, my topic is “Analysis of variance and Its Applications in Macao Educational Researches”.In this paper a
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"Papers Statistics." In 2023 Intelligent Methods, Systems, and Applications (IMSA). IEEE, 2023. http://dx.doi.org/10.1109/imsa58542.2023.10217513.

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"Papers Statistics." In 2024 Intelligent Methods, Systems, and Applications (IMSA). IEEE, 2024. http://dx.doi.org/10.1109/imsa61967.2024.10652673.

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Turel, Nisa, Emre Aktas, and Feza Arikan. "TEC Statistics and Correlogram Applications." In 2007 IEEE 15th Signal Processing and Communications Applications. IEEE, 2007. http://dx.doi.org/10.1109/siu.2007.4298639.

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López-Mariscal, Carlos. "Computer-generated hologram statistics." In SPIE Optical Engineering + Applications, edited by Andrew Forbes and Todd E. Lizotte. SPIE, 2010. http://dx.doi.org/10.1117/12.861924.

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CAI, JUN, and JOSÉ GARRIDO. "ASYMPTOTIC FORMS AND BOUNDS FOR TAILS OF CONVOLUTIONS OF COMPOUND GEOMETRIC DISTRIBUTIONS, WITH APPLICATIONS." In Proceedings of Statistics 2001 Canada: The 4th Conference in Applied Statistics. PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO., 2002. http://dx.doi.org/10.1142/9781860949531_0010.

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Kracklauer, A. F. "Photon statistics: math versus mysticism." In SPIE Optical Engineering + Applications, edited by Chandrasekhar Roychoudhuri, Al F. Kracklauer, and Hans De Raedt. SPIE, 2013. http://dx.doi.org/10.1117/12.2022718.

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Reports on the topic "Statistics - Applications"

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Kim, Jee S., Frank Proschan, and Jayaram Sethuraman. Stochastic Comparisons of Order Statistics, with Applications in Reliability. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada189408.

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Wise, Gary L. Some Applications of Probability and Statistics in Communication Theory and Signal Processing. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada226869.

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Vangel, Mark. Iterative Algorithms for Integral Equations of the First Kind With Applications to Statistics. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada256529.

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Pawula, R. F. Applications of Differential Phase Statistics to Studies of C3 and Spread Spectrum Communications. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada158815.

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Nuttall, Albert H., and Paul M. Baggenstoss. Joint Distributions for Two Useful Classes of Statistics, With Applications to Classification and Hypothesis Testing. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada477141.

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Darling, Arthur H., and William J. Vaughan. The Optimal Sample Size for Contingent Valuation Surveys: Applications to Project Analysis. Inter-American Development Bank, 2000. http://dx.doi.org/10.18235/0008824.

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One of the first questions that has to be answered in the survey design process is "How many subjects should be interviewed?" The answer can have significant implications for the cost of project preparation, since in Latin America and the Caribbean costs per interview can range from US$20 to US$100. Traditionally, the sample size question has been answered in an unsatisfactory way by either dividing an exogenously fixed survey budget by the cost per interview or by employing some variant of a standard statistical tolerance interval formula. The answer is not to be found in the environmental ec
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Azarm, M. A., F. Hsu, G. Martinez-Guridi, and W. E. Vesely. Methods for dependency estimation and system unavailability evaluation based on failure data statistics. Volume 2, Detailed description and applications. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10170419.

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Nuttall, Albert H. Saddlepoint Approximations for Various Statistics of Dependent, Non-Gaussian Random Variables: Applications to the Maximum Variate and the Range Variate. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada389742.

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Zhan, Peng. Statistical Analysis and Data Visualization in R. Instats Inc., 2022. http://dx.doi.org/10.61700/dizyg5iq1mqj5469.

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This seminar provides a gentle introduction to R for those looking to use it for applied statistics and visualisation, covering a range of essential topics on basic data manipulation, regression analysis, and visualizing data and results. Examples from multiple fields are used to demonstrate the applications. An official Instats certificate of completion is provided at the conclusion of the seminar.
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Martinez, Melissa. Hypothesis Testing. ConductScience, 2022. http://dx.doi.org/10.55157/cs20220615.

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Hypothesis testing is a statistical method used to evaluate the validity of a potential outcome within a defined significance level, comparing it with an alternative hypothesis. It involves establishing null and alternative hypotheses, making assumptions, calculating a test statistic, and selecting a significance level. The decision to accept or reject the null hypothesis is based on the observed test statistic. Terminologies include null and alternative hypotheses, critical region, critical value, errors, p-value, power of a test, and more. Hypothesis testing is crucial in statistical inferen
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