Academic literature on the topic 'Geometrisk statistik'

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Journal articles on the topic "Geometrisk statistik"

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Amelia, Reski, Wayan Somayasa, Alfian, and Ruslan. "UJI GOODNESS OF FIT UNTUK DISTRIBUSI GEOMETRIK MENGGUNAKAN UJI STATISTIK KOLMOGOROV-SMIRNOV." Jurnal Matematika Komputasi dan Statistika 4, no. 1 (2024): 491–97. http://dx.doi.org/10.33772/jmks.v4i1.87.

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Penelitian ini bertujuan untuk mengevaluasi kecocokan distribusi geometrik dengan data lemparan bola basket. Estimasi parameter ( ) distribusi geometrik dengan metode MLE diperoleh dengan persamaan . Ketakbiasan penduga MLE diuji dengan membandingakn nilai variansi dan nilai BBCR, diperoleh nilai var sehingga bukan merupakn UMVUE. Hasil analisis statistik menggunakan uji Kolmogorov-Smirnov menunjukkan bahwa data tersebut mengikuti distribusi geometrik dengan parameter ​ . Statistik uji Kolmogorov-Smirnov = 4,0135 lebih besar dari nilai tabel kuantil-kuantil = 0,3667 pada tingkat signifikansi α
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Refiadi, Gunawan. "PEMBUATAN KOMPONEN AEROSPACE Al 6082-T6511 DENGAN METODE ONE STOP MACHINING MENGGUNAKAN MESIN CNC MULTITASKING." Jurnal Teknologi Bahan dan Barang Teknik 4, no. 2 (2014): 55. http://dx.doi.org/10.37209/jtbbt.v4i2.52.

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Metode One Stop Machining memiliki keunggulan dalam hal kecepatan proses yang optimum diikuti pencapaian karakteristik geometrik yang baik. Penelitian ini bertujuan membuktikan keunggulan metode tersebut melalui pembuatan komponen aerospace berbahan Al 6082-T6511. Dengan menganalisa process plan, mengawal proses permesinan, dan melakukan analisis statistik terhadap karakteristik geometrik produk, diketahui bahwa metode one stop machining dapat dilakukan pada mesin CNC multitasking. Adapun proses-proses yang dapat dilakukan secara simultan pada mesin ini meliputi facing, drilling, counter borin
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Bugatekin, Ayşe. "GEOMETRİK DAĞILIMDAKİ SIRA İSTATİSTİKLERİN ÖRNEK MİNİMUMUNUN MOMENT ÇIKARAN FONKSİYONU." e-Journal of New World Sciences Academy 10, no. 3 (2015): 51–54. http://dx.doi.org/10.12739/nwsa.2015.10.3.3a0073.

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Mehta, Anita, G. C. Barker, and J. M. Luck. "Cooperativity in sandpiles: statistics of bridge geometries." Journal of Statistical Mechanics: Theory and Experiment 2004, no. 10 (2004): P10014. http://dx.doi.org/10.1088/1742-5468/2004/10/p10014.

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Suwito, Tukimun Darmo, Yuswal Subby, and Fajrina Adhe Yossa. "PEMODELAN DAERAH RAWAN KECELAKAAN PADA RUAS JALAN MT HARYONO DI KOTA SAMARINDA." SENTRI: Jurnal Riset Ilmiah 2, no. 3 (2023): 607–17. http://dx.doi.org/10.55681/sentri.v2i3.472.

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Jalan MT. Haryono Kota Samarinda memiliki kondisi geometrik yang rawan terhadap kecelakaan lalu-lintas. Tujuan dari penelitian ini adalah untuk melihat model kecelakaan pada ruas jalan MT. Haryono Samarinda berdasarkan persepsi dari pengguna jalan (pengemudi). Data yang dikumpulkan adalah berupa data sekunder dan data primer kuisioner kepada sebanyak 52 responden pengguna jalan. Ada 5 faktor yang berpengaruh (variabel bebas) yang ditanyakan dalam penelitian ini yaitu faktor manusia/pengendara, faktor kendaraan, faktor kondisi jalan, faktor lingkungan dan faktor geometrik jalan. Analisis pemode
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Managerxot, Jek, Roy Nusa, and Nunik Kusumawardani. "METODE ALTERNATIF HITUNG IPKM YANG MEMILIKI KORELASI LEBIH TINGGI DENGAN IPM." JURNAL EKOLOGI KESEHATAN 16, no. 2 (2018): 112–20. http://dx.doi.org/10.22435/jek.16.2.363.112-120.

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Indeks Pembangunan Manusia (IPM) merupakan salah satu indikator multi dimensi penting untuk menilaikesejahteraan masyarakat secara lebih komprehensif (kesehatan, pendidikan dan standar hidup yang layak).Secara khusus untuk bidang kesehatan, Badan Penelitian dan Pengembangan Kesehatan, KementerianKesehatan Republik Indonesia telah mengeluarkan Indeks Pembangunan Kesehatan Masyarakat (IPKM)tahun 2008 dan tahun 2014 yang meliputi 30 indikator kesehatan terpilih. Penelitian ini dilakukan dengantujuan untuk mendapatkan metode alternatif (metode geometrik) dalam menghitung IPKM berdasarkanlaporan IP
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Bombelli, L., A. Corichi, and O. Winkler. "Semiclassical quantum gravity: statistics of combinatorial Riemannian geometries." Annalen der Physik 517, no. 8 (2005): 499–519. http://dx.doi.org/10.1002/andp.20055170803.

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Wang, Libing. "Modeling complex reservoir geometries with multiple-point statistics." Mathematical Geology 28, no. 7 (1996): 895–907. http://dx.doi.org/10.1007/bf02066007.

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Bombelli, L., A. Corichi, and O. Winkler. "Semiclassical quantum gravity: statistics of combinatorial Riemannian geometries." Annalen der Physik 14, no. 8 (2005): 499–519. http://dx.doi.org/10.1002/andp.200410144.

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Utomo, Puji Dwi, Thomas Sukardi, and Sudji Munadi. "Analisis Kualitas Geometris Hasil Praktik Pemesinan Bubut Siswa SMK Jurusan Teknik Pemesinan." JURNAL DINAMIKA VOKASIONAL TEKNIK MESIN 2, no. 1 (2017): 1. http://dx.doi.org/10.21831/dinamika.v2i1.13509.

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This study aims to determine the geometric quality of lathe machining product and what causes the low geometric quality of the lathe machining practices. This research is a descriptive study using a quantitative approach. Data were obtained by documentation and direct observation of the studied object, and then were processed using descriptive statistical analysis. Results show that the average value of the geometric quality of lathe machining products was relatively low, amounted to 67.14. The aspects that caused deficiencies and low geometric quality are, among others, incorrect spindle spee
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Dissertations / Theses on the topic "Geometrisk statistik"

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Pedersen, Morten Akhøj. "Méthodes riemanniennes et sous-riemanniennes pour la réduction de dimension." Electronic Thesis or Diss., Université Côte d'Azur, 2023. http://www.theses.fr/2023COAZ4087.

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Nous proposons dans cette thèse de nouvelles méthodes de réduction de dimension fondées sur la géométrie différentielle. Il s'agit de trouver une représentation d'un ensemble d'observations dans un espace de dimension inférieure à l'espace d'origine des données. Les méthodes de réduction de dimension constituent la pierre angulaire des statistiques et ont donc un très large éventail d'applications. Dans les statistiques euclidiennes ordinaires, les données appartiennent à un espace vectoriel et l'espace de dimension inférieure peut être un sous-espace linéaire ou une sous-variété non linéaire
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Saive, Yannick. "DirCNN: Rotation Invariant Geometric Deep Learning." Thesis, KTH, Matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252573.

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Recently geometric deep learning introduced a new way for machine learning algorithms to tackle point cloud data in its raw form. Pioneers like PointNet and many architectures building on top of its success realize the importance of invariance to initial data transformations. These include shifting, scaling and rotating the point cloud in 3D space. Similarly to our desire for image classifying machine learning models to classify an upside down dog as a dog, we wish geometric deep learning models to succeed on transformed data. As such, many models employ an initial data transform in their mode
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Granquist, Daniel. "Genom statistisk analys utvärdera geometriska parametrars påverkan på ett XPI- cylinderhuvuds snurrtal." Thesis, KTH, Maskinkonstruktion (Inst.), 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-99453.

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This Master Thesis is a product development project that has been carried out in cooperation with Scania CV AB. The purpose has been to find the relationship between geometric parameters and the swirl number for an XPI- cylinder head in order to improve the design specification. The increased focus on environmental issues from society leads to tighter emission legislations for the truck manufactures. In order to drive the development forward considerable resources are spent on research and development on diesel engines and its combustion process. The inlet air has a significant impact on the f
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Ho, Pak-kei. "Parametric and non-parametric inference for Geometric Process." Click to view the E-thesis via HKUTO, 2005. http://sunzi.lib.hku.hk/hkuto/record/B31483859.

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Ho, Pak-kei, and 何柏基. "Parametric and non-parametric inference for Geometric Process." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B31483859.

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Keil, Mitchel J. "Automatic generation of interference-free geometric models of spatial mechanisms." Diss., This resource online, 1990. http://scholar.lib.vt.edu/theses/available/etd-08252008-162631/.

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Schäfer, Philip Morten [Verfasser]. "Statistics, Geometries and Scaling Laws of Streamlines and Streamline Segments in Turbulent Flows / Philip Morten Schäfer." Aachen : Shaker, 2013. http://d-nb.info/105157398X/34.

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SCHIAVON, JACOPO. "Geometria differenziale delle matrici simmetriche e definite positive per applicazioni statistiche." Doctoral thesis, Università degli studi di Padova, 2022. http://hdl.handle.net/11577/3449438.

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La geometria differenziale è un insieme di strumenti che permette di compiere le tipiche operazioni di algebra e calcolo anche in spazi che non seguono le normali regole Euclidee degli spazi vettoriali, ad esempio come i punti di una superficie curva. Questo campo della matematica sta assumendo sempre maggiore rilevanza in vari ambiti, fra cui statistica e machine learning, a causa dell’enorme disponibilità di dati che appartengono a domini sempre più complessi. Un esempio di dominio di questo tipo è l’insieme delle matrici simmetriche e definite positive, ovvero le matrici di covarianza, che
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Suttmiller, Alexander Gage. "Streamline Feature Detection: Geometric and Statistical Evaluation of Streamline Properties." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1315967677.

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Villa, E. "Methods of geometric measure theory in stochastic geometry." Doctoral thesis, Università degli Studi di Milano, 2007. http://hdl.handle.net/2434/28369.

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All the results of the present thesis have been obtained facing problems related to the study of the so called birth-and-growth stochastic processes, relevant in several real applications, like crystallization processes, tumour growth, angiogenesis, etc. We have introduced a Delta formalism, à la Dirac-Schwartz, for the description of random measures associated with random closed sets in R^d of lower dimensions, such that the usual Dirac delta at a point follows as particular case, in order to provide a natural framework for deriving evolution equations for mean densities at integer Hausdorff
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Books on the topic "Geometrisk statistik"

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Fang, Kʻai-tʻai. Number-theoretic methods in statistics. Chapman & Hall, 1994.

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Pawlowsky-Glahn, Vera. Modelling and analysis of compositional data. John Wiley & Sons, Inc., 2015.

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V, Buldygin V., and Kharazishvili A. B, eds. Geometric aspects of probability theory and mathematical statistics. Kluwer Academic, 2000.

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Stoyan, Dietrich. Fractals, random shapes, and point fields: Methods of geometrical statistics. Wiley, 1994.

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Roux, Brigitte Le. Combinatorial Inference in Geometric Data Analysis. Chapman and Hall/CRC, Taylor & Francis Group, 2019.

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1911-, Ledermann Walter, and Vajda Steven 1901-, eds. Handbook of applicable mathematics. Wiley, 1985.

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service), SpringerLink (Online, ed. Perspectives on Projective Geometry: A Guided Tour Through Real and Complex Geometry. Springer-Verlag Berlin Heidelberg, 2011.

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Stoyan, Dietrich. Stochastic geometry and its applications. 2nd ed. Wiley, 1995.

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Flewelling, Gary. Math activities using LogoWriter: Probability and statistics. International Society for Technology in Education, 1994.

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Kelenc, Aleksander. Zbirka rešenih izpitnih nalog pri predmetu Verjetnost. Univerza v Mariboru, Univerzitetna založba, 2025. https://doi.org/10.18690/um.feri.3.2025.

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Pričujoča zbirka rešenih izpitnih nalog je namenjena predvsem študentom 3. letnika univerzitetnih študijskih programov Elektrotehnika ter Računalništvo in informacijske tehnologije na UM FERI, kjer se predmet Verjetnost izvaja kot izbirni. Kljub temu bo zbirka koristna tudi drugim študentom, ki se v okviru študija srečujejo s koncepti verjetnosti. Prvo poglavje zbirke vsebuje pretekle izpitne naloge, drugo pa njihove rešitve ter izbrane postopke, ki vodijo do teh rešitev. Za uspešno reševanje nalog je potrebno vsaj osnovno znanje kombinatorike in verjetnosti. V zbirki so obravnavane teme, kot
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Book chapters on the topic "Geometrisk statistik"

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Kühnel, Line, Tom Fletcher, Sarang Joshi, and Stefan Sommer. "Latent Space Geometric Statistics." In Pattern Recognition. ICPR International Workshops and Challenges. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68780-9_16.

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Marshall, Albert W., Ingram Olkin, and Barry C. Arnold. "Geometric Inequalities." In Springer Series in Statistics. Springer New York, 2010. http://dx.doi.org/10.1007/978-0-387-68276-1_8.

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Mecke, Joseph, Rolf G. Schneider, Dietrich Stoyan, and Wolfgang R. R. Weil. "Statistik für einige Modelle der Stochastischen Geometrie." In DMV Seminar. Birkhäuser Basel, 1990. http://dx.doi.org/10.1007/978-3-0348-7029-0_5.

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Saville, David J., and Graham R. Wood. "The Geometric Tool Kit." In Springer Texts in Statistics. Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4612-0971-3_2.

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Kosambi, D. D. "The Geometric Method in Mathematical Statistics." In D.D. Kosambi. Springer India, 2016. http://dx.doi.org/10.1007/978-81-322-3676-4_17.

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Chang, Ted. "Tangent Space Approximation in Geometric Statistics." In Springer Handbook of Engineering Statistics. Springer London, 2023. http://dx.doi.org/10.1007/978-1-4471-7503-2_53.

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Leung, Kit-Nam. "Arithmetic and Geometric Processes." In Springer Handbook of Engineering Statistics. Springer London, 2006. http://dx.doi.org/10.1007/978-1-84628-288-1_49.

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Nair, V. Parameswaran. "Fractional Statistics in Quantum Hall Effect." In SpringerBriefs in Physics. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-65801-3_9.

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AbstractThe quantum Hall effect is an important physical phenomenon which has been analyzed both theoretically and experimentally for a few decades by now. In this chapter, we discuss this effect in relation to geometric quantization. We will also see how fractional statistics for quasiparticles is related to nontrivial $$\mathcal {H}^1(M, \mathbb {R})$$ of the phase space.
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Hitzer, Eckhard, and Dietmar Hildenbrand. "Introduction to Geometric Algebra." In Springer Proceedings in Mathematics & Statistics. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-55985-3_1.

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Scheaffer, Richard L., Ann Watkins, Mrudulla Gnanadesikan, and Jeffrey A. Witmer. "Waiting for Reggie Jackson: The Geometric Distribution." In Activity-Based Statistics. Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4757-3843-8_17.

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Conference papers on the topic "Geometrisk statistik"

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Yaohua, Jin, Dong Chenxin, Ming Xing, Zhu Xiaoxiao, Xiu Xia, and Kou Jie. "Research on Pedestrian Statistics in Video Image Based on Naive Geometric Features." In 2024 IEEE 6th International Conference on Power, Intelligent Computing and Systems (ICPICS). IEEE, 2024. https://doi.org/10.1109/icpics62053.2024.10796355.

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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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Sudsuk, Areeya, and Winai Bodhisuwan. "The Topp-Leone geometric distribution." In 2016 12th International Conference on Mathematics, Statistics, and Their Application (ICMSA). IEEE, 2016. http://dx.doi.org/10.1109/icmsa.2016.7954319.

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Kvinge, Henry, Elin Farnell, Jingya Li, and Yujia Chen. "Rare Geometries: Revealing Rare Categories via Dimension-Driven Statistics." In 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA). IEEE, 2019. http://dx.doi.org/10.1109/icmla.2019.00052.

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Ting, Dai. "Statistics Properties of Geometric Brown Motion under Haar Wavelet." In 2009 First International Conference on Information Science and Engineering. IEEE, 2009. http://dx.doi.org/10.1109/icise.2009.1090.

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Fletcher, P. Thomas, Suresh Venkatasubramanian, and Sarang Joshi. "Robust statistics on Riemannian manifolds via the geometric median." In 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2008. http://dx.doi.org/10.1109/cvpr.2008.4587747.

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Li, Lee Siaw, and Maman A. Djauhari. "Monitoring autocorrelated process: A geometric Brownian motion process approach." In INTERNATIONAL CONFERENCE ON MATHEMATICAL SCIENCES AND STATISTICS 2013 (ICMSS2013): Proceedings of the International Conference on Mathematical Sciences and Statistics 2013. AIP, 2013. http://dx.doi.org/10.1063/1.4823976.

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Sagadavan, Revathi, and Maman A. Djauhari. "Autocorrelated multivariate process control: A geometric Brownian motion approach." In INTERNATIONAL CONFERENCE ON MATHEMATICAL SCIENCES AND STATISTICS 2013 (ICMSS2013): Proceedings of the International Conference on Mathematical Sciences and Statistics 2013. AIP, 2013. http://dx.doi.org/10.1063/1.4823979.

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Waagen, Donald, Don Hulsey, Jamie Godwin, and David Gray. "A geometric statistic for deep learning model confidence and adversarial defense." In Automatic Target Recognition XXXII, edited by Kristen Jaskie, Timothy L. Overman, Riad I. Hammoud, and Abhijit Mahalanobis. SPIE, 2022. http://dx.doi.org/10.1117/12.2618299.

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Lei, Li, and LongTing Wang. "Geometric and topological structures of complex numbers." In International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), edited by Ke Chen, Nan Lin, Romeo Meštrović, Teresa A. Oliveira, Fengjie Cen, and Hong-Ming Yin. SPIE, 2022. http://dx.doi.org/10.1117/12.2628101.

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Reports on the topic "Geometrisk statistik"

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Singer, D. A., and R. Kouda. Application of geometric probability and Bayesian statistics to the search for mineral deposits. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1990. http://dx.doi.org/10.4095/128119.

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