Academic literature on the topic 'M-statistics'
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Journal articles on the topic "M-statistics"
Dehnel, Grażyna. "M-ESTIMATORS IN BUSINESS STATISTICS." Statistics in Transition. New Series 17, no. 4 (2016): 749–62. http://dx.doi.org/10.21307/stattrans-2016-050.
Full textDehnel, Grażyna. "M-Estimators in business statistics." Statistics in Transition new series 17, no. 4 (December 1, 2016): 749–62. http://dx.doi.org/10.59170/stattrans-2016-041.
Full textDouglas, Michael R. "The statistics of string/M theory vacua." Journal of High Energy Physics 2003, no. 05 (May 19, 2003): 046. http://dx.doi.org/10.1088/1126-6708/2003/05/046.
Full textBedbur, Stefan, Udo Kamps, and Miriam Marner. "Rényi entropy of m-generalized order statistics." Communications in Statistics - Theory and Methods 49, no. 14 (April 3, 2019): 3397–406. http://dx.doi.org/10.1080/03610926.2019.1588321.
Full textBarakat, H. M., Magdy E. El-Adll, and M. E. Sobh. "Bootstrapping $ m $-generalized order statistics with variable rank." AIMS Mathematics 7, no. 8 (2022): 13704–32. http://dx.doi.org/10.3934/math.2022755.
Full textRuggeri, Fabrizio. "Lee, M. P. (2012). Bayesian Statistics: An Introduction." Statistical Methods in Medical Research 25, no. 5 (October 2016): 2397–98. http://dx.doi.org/10.1177/0962280213485508.
Full textAerts, M., P. Janssen, and N. Veraverbeke. "Sequential confidence intervals based on generalized m-statistics." Sequential Analysis 6, no. 3 (January 1987): 187–206. http://dx.doi.org/10.1080/07474948708836126.
Full textAbada-Simon, M., and M. Aubier. "Radio burst statistics for M dwarf flare stars." Astronomy and Astrophysics Supplement Series 125, no. 3 (November 1997): 511–21. http://dx.doi.org/10.1051/aas:1997238.
Full textRACHIDI, M., E. H. SAIDI, and J. ZEROUAOUI. "FRACTIONAL STATISTICS IN TERMS OF THE r-GENERALIZED FIBONACCI SEQUENCES." International Journal of Modern Physics A 18, no. 01 (January 10, 2003): 159–71. http://dx.doi.org/10.1142/s0217751x03012394.
Full textDavid, Herbert A. "Statistics on the Table: The History of Statistical Concepts and Methods. Stephen M. Stigler." Quarterly Review of Biology 75, no. 2 (June 2000): 170. http://dx.doi.org/10.1086/393386.
Full textDissertations / Theses on the topic "M-statistics"
Fluck, Elody [Verfasser], and M. [Akademischer Betreuer] Kunz. "Hail statistics for European countries / Elody Fluck ; Betreuer: M. Kunz." Karlsruhe : KIT-Bibliothek, 2018. http://d-nb.info/1153828693/34.
Full textAduba, Chukwuemeka Nnabuife. "N-Player Statistical Nash Game Control: M-th Cost Cumulant Optimization." Diss., Temple University Libraries, 2014. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/298838.
Full textPh.D.
Game theory is the study of tactical interactions involving conflicts and cooperations among multiple decision makers called players with applications in diverse disciplines such as economics, biology, management, communication networks, electric power systems and control. This dissertation studies a statistical differential game problem where finite N players optimize their system performance by shaping the distribution of their cost function through cost cumulants. This research integrates game theory with statistical optimal control theory and considers a statistical Nash non-cooperative nonzero-sum game for a nonlinear dynamic system with nonquadratic cost functions. The objective of the statistical Nash game is to find the equilibrium solution where no player has the incentive to deviate once other players maintain their equilibrium strategy. The necessary condition for the existence of the Nash equilibrium solution is given for the m-th cumulant cost optimization using the Hamilton-Jacobi-Bellman (HJB) equations. In addition, the sufficient condition which is the verification theorem for the existence of Nash equilibrium solution is given for the m-th cumulant cost optimization using the Hamilton-Jacobi-Bellman (HJB) equations. However, solving the HJB equations even for relatively low dimensional game problem is not trivial, we propose to use neural network approximate method to find the solution of the HJB partial differential equations for the statistical game problem. Convergence proof of the neural network approximate method solution to exact solution is given. In addition, numerical examples are provided for the statistical game to demonstrate the applicability of the proposed theoretical developments.
Temple University--Theses
Berta, Zachory Kaczmarczyk. "Super-Earth and Sub-Neptune Exoplanets: a First Look from the MEarth Project." Thesis, Harvard University, 2013. http://dissertations.umi.com/gsas.harvard:10833.
Full textAstronomy
Lewis, John Robert. "Bayesian Restricted Likelihood Methods." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1407505392.
Full textSavatovic, Anita, and Mejra Cakic. "Estimating Optimal Checkpoint Intervals Using GPSS Simulation." Thesis, Linköping University, Department of Mathematics, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8558.
Full textIn this project we illustrate how queueing simulation may be used to find the optimal interval for checkpointing problems and compare results with theoretical computations for simple systems that may be treated analytically.
We consider a relatively simple model for an internet banking facility. From time to time, the application server breaks down. The information at the time of the breakdown has to be passed onto the back up server before service may be resumed. To make the change over as efficient as possible, information of the state of user’s accounts is saved at regular intervals. This is known as checkpointing.
Firstly, we use GPSS (a queueing simulation tool) to find, by simulation, an optimal checkpointing interval, which maximises the efficiency of the server. Two measures of efficiency are considered; the availability of the server and the average time a customer spends in the system. Secondly, we investigate how far the queueing theory can go to providing an analytic solution to the problem and see whether or not this is in line with the results obtained through simulation.
The analysis shows that checkpointing is not necessary if breakdowns occur frequently and log reading after failure does not take much time. Otherwise, checkpointing is necessary and the analysis shows how GPSS may be used to obtain the optimal checkpointing interval. Relatively complicated systems may be simulated, where there are no analytic tools available. In simple cases, where theoretical methods may be used, the results from our simulations correspond with the theoretical calculations.
Kouamo, Olaf. "Analyse des séries chronologiques à mémoire longue dans le domaine des ondelettes." Phd thesis, Paris, Télécom ParisTech, 2011. https://pastel.hal.science/pastel-00565656.
Full textThe theme of our work focuses on statistical process long memory, for which we propose and validate tools statistics from the wavelet analysis. In recent years these methods for estimating the memory setting became very popular. However, rigorously validating the theoretical results estimators for semiparametric models classic long memory are new (cf. The articles by E. Moulines, F. Roueff and M. Taqqu since 2007). The results we propose in this thesis are a direct extension of this work. We have proposed a test procedure for detecting changes on the generalized spectral density. In the wavelet domain, the test becomes a test of change in the variance of wavelet coefficients. We then developed an algorithm for fast computation of covariance matrix of wavelet coefficients. Two applications of this algorithm are proposed, first to estimate d and the other part to improve the test proposed in the previous chapter. Finally, we studied the robust estimators of the memory parameter in the wavelet domain, based on three estimators of the variance of wavelet coefficients at scale. The major contribution of this chapter is the central limit theorem obtained for three estimators in the context of Gaussian processes M (d)
Kouamo, Olaf. "Analyse des séries chronologiques à mémoire longue dans le domaine des ondelettes." Phd thesis, Télécom ParisTech, 2011. http://pastel.archives-ouvertes.fr/pastel-00565656.
Full textElizalde, Torrent Sergi. "Consecutive patterns and statistics on restricted permutations." Doctoral thesis, Universitat Politècnica de Catalunya, 2004. http://hdl.handle.net/10803/5839.
Full textDesprés d'introduir algunes definicions sobre subseqüències i estadístics en permutacions i camins de Dyck, comencem estudiant la distribució dels estadístics -nombre de punts fixos' i -nombre d'excedències' en permutacions que eviten una subseqüència de longitud 3. Un dels resultats principals és que la distribució conjunta d'aquest parell de paràmetres és la mateixa en permutacions que eviten 321 que en permutacions que eviten 132. Això generalitza un teorema recent de Robertson, Saracino i Zeilberger. Demostrem aquest resultat donant una bijecció que preserva els dos estadístics en qüestió i un altre paràmetre. La idea clau consisteix en introduir una nova classe d'estadístics en camins de Dyck, basada en el que anomenem túnel.
A continuació considerem el mateix parell d'estadístics en permutacions que eviten simultàniament dues o més subseqüències de longitud 3. Resolem tots els casos donant les funcions generadores corresponents. Alguns casos són generalitzats a subseqüències de longitud arbitrària. També descrivim la distribució d'aquests paràmetres en involucions que eviten qualsevol subconjunt de subseqüències de longitud 3. La tècnica principal consisteix en fer servir bijeccions entre permutacions amb subseqüències prohibides i certs tipus de camins de Dyck, de manera que els estadístics en permutacions que considerem corresponen a estadístics en camins de Dyck que són més fàcils d'enumerar.
Tot seguit presentem una nova família de bijeccions del conjunt de camins de Dyck a sí mateix, que envien estadístics que apareixen en l'estudi de permutacions amb subseqüències prohibides a estadístics clàssics en camins de Dyck, la distribució dels quals s'obté fàcilment. En particular, això ens dóna una prova bijectiva senzilla de l'equidistribució de punts fixos en les permutacions que eviten 321 i en les que eviten 132. A continuació donem noves interpretacions dels nombres de Catalan i dels nombres de Fine. Considerem una classe de permutacions definida en termes d'aparellaments de 2n punts en una circumferència sense creuaments. N'estudiem l'estructura i algunes propietats, i donem la distribució de diversos estadístics en aquests permutacions.
En la següent part de la tesi introduïm una noció diferent de subseqüències prohibides, amb el requeriment que els elements que formen la subseqüència han d'aparèixer en posicions consecutives a la permutació. Més en general, estudiem la distribució del nombre d'ocurrències de subparaules (subseqüències consecutives) en permutacions. Resolem el problema en diversos casos segons la forma de la subparaula, obtenint-ne les funcions generadores exponencials bivariades corresponents com a solucions de certes equacions diferencials lineals. El mètode està basat en la representació de permutacions com a arbres binaris creixents i en mètodes simbòlics.
La part final tracta de subseqüències generalitzades, que extenen tant la noció de subseqüències clàssiques com la de subparaules. Per algunes subseqüències obtenim nous resultats enumeratius. Finalment estudiem el comportament assimptòtic del nombre de permutacions de mida n que eviten una subseqüència generalitzada fixa quan n tendeix a infinit. També donem fites inferiors i superiors en el nombre de permutacions que eviten certes subseqüències.
Nardini, C. "STATISTICS IN CLINICAL TRIALS: OUT OF CONDITION. SOME PROBLEMS OF UNCONDITIONAL INFERENCEAT THE CROSSROADS OF METHODOLOGY AND ETHICS." Doctoral thesis, Università degli Studi di Milano, 2013. http://hdl.handle.net/2434/218889.
Full textZhang, Zongjun. "Adaptive Robust Regression Approaches in data analysis and their Applications." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1445343114.
Full textBooks on the topic "M-statistics"
Strasser, Sandra. Study guide and workbook, fifth edition, Basic Business Statistics: Concepts and applications, Mark L. Berenson, David M. Levine. Englewood Cliffs, N.J: Prentice Hall, 1993.
Find full textMay, Dennis M. Forest statistics for west-central Tennessee counties, 1989 / Dennis M. May and John S. Vissage. New Orleans, La: U.S. Dept. of Agriculture, Forest Service, Southern Forest Experiment Station, 1989.
Find full textM, May Dennis. Forest statistics for west-central Tennessee counties, 1989 / Dennis M. May and John S. Vissage. New Orleans, La: U.S. Dept. of Agriculture, Forest Service, Southern Forest Experiment Station, 1989.
Find full textBart, Jonathan. Sampling and statistical methods for behavioral ecologists. Cambridge: Cambridge University Press, 1998.
Find full textNg, Pin T. Student solutions manual [for] Business statistics: A first course, fourth edition, [by] David M. Levine, Timothy C. Krehbiel, Mark L. Berenson. Upper Saddle River, N.J: Prentice Hall, 2006.
Find full textL, Berenson Mark, ed. Study guide and workbook [for] Basic business statistics: Concepts and applications, third edition, [by] Mark L. Berenson, David M. Levine. 3rd ed. Englewood Cliffs, N.J: Prentice-Hall, 1986.
Find full textBretthauer, Scott M. Illinois forests / Scott M. Bretthauer, John M. Edgington. Urbana, Ill: Illinois Forestry Development Council, 2003.
Find full textKoenker, Roger. M-Estimation of multivariate regressions. Champaign: University of Illinois at Urbana-Champaign, 1988.
Find full textMaría C. V. de Flood. El gasto público consolidado: M. Cristina Vargas de Flood, M. Marcela Harriague. [Buenos Aires]: República Argentina, Ministerio de Economía y Obras y Servicios Públicos, Secretaría de Programación Economica, 1992.
Find full textlil-Iḥṣāʼ, Qatar Jihāz al-Markazī, ed. Natāʼij taʻdād al-munshaʼāt, Fabrāyir 1993 M. [Doha]: Dawlat Qaṭar, Riʼāsat Majlis al-Wuzarāʼ, al-Jihāz al-Markazī lil-Iḥṣāʼ, 1994.
Find full textBook chapters on the topic "M-statistics"
Bose, Arup, and Snigdhansu Chatterjee. "Resampling U-statistics and M-estimators." In U-Statistics, Mm-Estimators and Resampling, 103–25. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2248-8_4.
Full textSheather, Simon J., and Jennifer South. "Texas A&M Department of Statistics." In Strength in Numbers: The Rising of Academic Statistics Departments in the U. S., 301–16. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-3649-2_22.
Full textHušková, M. "Limit Theorems for M-Processes Via Rank Statistics Processes." In Advances in Combinatorial Methods and Applications to Probability and Statistics, 521–34. Boston, MA: Birkhäuser Boston, 1997. http://dx.doi.org/10.1007/978-1-4612-4140-9_32.
Full textPizer, Stephen, Qiong Han, Sarang Joshi, P. Thomas Fletcher, Paul A. Yushkevich, and Andrew Thall. "Synthesis, Deformation, and Statistics of 3D Objects via M-Reps." In Computational Imaging and Vision, 241–66. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-8658-8_8.
Full textSlavkovic, Aleksandra, and Roberto Molinari. "Perturbed M-Estimation: A Further Investigation of Robust Statistics for Differential Privacy." In Statistics in the Public Interest, 337–61. Cham: Springer International Publishing, 2012. http://dx.doi.org/10.1007/978-3-030-75460-0_19.
Full textMartinez, Juan, José Baca, Luis Rodolfo Garcia Carrillo, and Scott A. King. "Overwatch-M System: Implementation of Bayesian Statistics for Assessment of Sensorimotor Control." In Advances in Automation and Robotics Research, 79–91. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-40309-6_9.
Full text"Scope of energy statistics." In Statistical Papers (Ser. M), 17–20. UN, 2018. http://dx.doi.org/10.18356/0cd20ba6-en.
Full text"Classifications and environment statistics." In Statistical Papers (Ser. M), 195–205. UN, 2018. http://dx.doi.org/10.18356/8d5cb04d-en.
Full text"Dissemination of industrial statistics." In Statistical Papers (Ser. M), 137–41. UN, 2011. http://dx.doi.org/10.18356/02a01d4a-en.
Full text"Scope of industrial statistics." In Statistical Papers (Ser. M), 11–17. UN, 2011. http://dx.doi.org/10.18356/283fa4ea-en.
Full textConference papers on the topic "M-statistics"
DOUGLAS, MICHAEL R. "THE STATISTICS OF STRING/M THEORY VACUA." In Proceedings of the 2nd International Conference. WORLD SCIENTIFIC, 2004. http://dx.doi.org/10.1142/9789812702463_0014.
Full textHall, David, Paul Muessig, and Albert Rainis. "Beyond statistics - Evaluative metrics for M&S credibility." In Test and Evalution International Aerospace Forum. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-3336.
Full textRaymond, D. M., and M. M. Fahmy. "Optimal M-D sorting using distributions of order statistics." In [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing. IEEE, 1991. http://dx.doi.org/10.1109/icassp.1991.151009.
Full textMittag, Hans-Joachim. "Using mobile devices for interactively visualizing basic statistical concepts and official data." In Promoting Understanding of Statistics about Society. International Association for Statistical Education, 2016. http://dx.doi.org/10.52041/srap.16507.
Full textFiorini, Pierre M. "Analyzing the Busy Period of the M/M/1 Queue via Order Statistics and Record Values." In 2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). IEEE, 2021. http://dx.doi.org/10.1109/idaacs53288.2021.9660840.
Full textYun Wu, Yong Zhao, Xue-Min Wang, Qi-Song Chen, Feng Zhou, and Dan Yang. "Fast intra prediction mode decision based on statistics for AVS-M." In 2008 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2008. http://dx.doi.org/10.1109/icmlc.2008.4621060.
Full textSchield, Milo. "Statistical Literacy Curriculum Design." In Curricular Development in Statistics Education. International Association for Statistical Education, 2004. http://dx.doi.org/10.52041/srap.04104.
Full textZhao, Yifeng, Huayu Yang, Kai Liu, Lianfen Huang, Mingjun Shi, and Meng Zhang. "A random-access algorithm based on statistics waiting in LTE-M system." In 2017 12th International Conference on Computer Science and Education (ICCSE). IEEE, 2017. http://dx.doi.org/10.1109/iccse.2017.8085491.
Full textGouda, Mamdouh, and Yasser Ali. "Adaptive and Smart Threshold for M-sequence Identification Using Higher Order Statistics." In 2009 11th International Conference on Computer Modelling and Simulation. IEEE, 2009. http://dx.doi.org/10.1109/uksim.2009.33.
Full textKrstic, Dragana, Mihajlo Stefanovic, Petar Nikolic, and Sinisa Minic. "Statistics of the Product of Three Nakagami-m Random Variables with Applications." In 2018 26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM). IEEE, 2018. http://dx.doi.org/10.23919/softcom.2018.8555819.
Full textReports on the topic "M-statistics"
Cleary, Summers, Michelle Kinseth, and Michelle Uchitel. Land Cover Summary Statistics for Antietam National Battlefield. National Park Service, 2023. http://dx.doi.org/10.36967/2301818.
Full textCleary, Summers, Michelle Kinseth, and Michelle Uchitel. Land Cover Summary Statistics for Antietam National Battlefield. National Park Service, 2022. http://dx.doi.org/10.36967/2300391.
Full textLi, Fu-Li, Xiao-Shen Li, D. L. Lin, and Thomas F. George. Dynamics of an M-Level Atom Interacting with Cavity Fields: Properties of Photon Statistics. Fort Belvoir, VA: Defense Technical Information Center, August 1989. http://dx.doi.org/10.21236/ada211321.
Full textHarbitz, Mia Elisabeth. The Civil Registry: A Neglected Dimension of International Development. Inter-American Development Bank, May 2013. http://dx.doi.org/10.18235/0009117.
Full textYablonskyy, Maxym. «NEW DAYS» WEEKLY AND PETRO VOLYNIAK, PUBLISHER AND AUTHOR. Ivan Franko National University of Lviv, February 2021. http://dx.doi.org/10.30970/vjo.2021.49.11058.
Full textKim, 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.
Full textRojas, Joseph Maurice. Final report for Texas A&M University Group Contribution to DE-FG02-09ER25949/DE-SC0002505: Topology for Statistical Modeling of Petascale Data (and ASCR-funded collaboration between Sandia National Labs, Texas A&M University and University of Utah). Office of Scientific and Technical Information (OSTI), February 2013. http://dx.doi.org/10.2172/1149927.
Full textSaltus, Christina, Richard Johansen, Molly Reif, Weston Nowlin, Benjamin Schwartz, and Joshuah Perkins. Next Generation Ecological Models - Central Texas Watersheds: Geospatial Layers and Related Tables. Engineer Research and Development Center (U.S.), September 2023. http://dx.doi.org/10.21079/11681/47608.
Full textHalych, Valentyna. SERHII YEFREMOV’S COOPERATION WITH THE WESTERN UKRAINIAN PRESS: MEMORIAL RECEPTION. Ivan Franko National University of Lviv, February 2021. http://dx.doi.org/10.30970/vjo.2021.49.11055.
Full textPeitz, David, and Tani Hubbard. Bird monitoring at Effigy Mounds National Monument, Iowa: Status report 2009?2022. National Park Service, 2024. http://dx.doi.org/10.36967/2303731.
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