Дисертації з теми "K-statistics"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся з топ-50 дисертацій для дослідження на тему "K-statistics".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Переглядайте дисертації для різних дисциплін та оформлюйте правильно вашу бібліографію.
Li, Songzi. "K-groups: A Generalization of K-means by Energy Distance." Bowling Green State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1428583805.
Angiuli, Olivia Marie. "The effect of quasi-identifier characteristics on statistical bias introduced by k-anonymization." Thesis, Harvard University, 2015. http://nrs.harvard.edu/urn-3:HUL.InstRepos:14398529.
Fisher, Julia Marie. "Classification Analytics in Functional Neuroimaging: Calibrating Signal Detection Parameters." Thesis, The University of Arizona, 2015. http://hdl.handle.net/10150/594646.
Dey, Rajarshi. "Inference for the K-sample problem based on precedence probabilities." Diss., Kansas State University, 2011. http://hdl.handle.net/2097/12000.
Department of Statistics
Paul I. Nelson
Rank based inference using independent random samples to compare K>1 continuous distributions, called the K-sample problem, based on precedence probabilities is developed and explored. There are many parametric and nonparametric approaches, most dealing with hypothesis testing, to this important, classical problem. Most existing tests are designed to detect differences among the location parameters of different distributions. Best known and most widely used of these is the F- test, which assumes normality. A comparable nonparametric test was developed by Kruskal and Wallis (1952). When dealing with location-scale families of distributions, both of these tests can perform poorly if the differences among the distributions are among their scale parameters and not in their location parameters. Overall, existing tests are not effective in detecting changes in both location and scale. In this dissertation, I propose a new class of rank-based, asymptotically distribution- free tests that are effective in detecting changes in both location and scale based on precedence probabilities. Let X_{i} be a random variable with distribution function F_{i} ; Also, let _pi_ be the set of all permutations of the numbers (1,2,...,K) . Then P(X_{i_{1}}<...
Bsharat, Rebhi S. "Evaluation of [subscript n]C[subscript k] estimators." Diss., Manhattan, Kan. : Kansas State University, 2007. http://hdl.handle.net/2097/410.
Gong, Rongsheng. "A Segmentation and Re-balancing Approach for Classification of Imbalanced Data." University of Cincinnati / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1296594422.
Sutula, Glenn Eric. "Developing a Framework for the Purposes of Locating Undiscovered Hydrogeologic Windows." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1462458460.
Tolos, Siti. "Nonparametric tests to detect relationship between variables in the presence of heteroscedastic treatment effects." Diss., Kansas State University, 2010. http://hdl.handle.net/2097/6760.
Department of Statistics
Haiyan Wang
Statistical tools to detect nonlinear relationship between variables are commonly needed in various practices. The first part of the dissertation presents a test of independence between a response variable, either discrete or continuous, and a continuous covariate after adjusting for heteroscedastic treatment effects. The method first involves augmenting each pair of the data for all treatments with a fixed number of nearest neighbors as pseudo-replicates. A test statistic is then constructed by taking the difference of two quadratic forms. Using such differences eliminate the need to estimate any nonlinear regression function, reducing the computational time. Although using a fixed number of nearest neighbors poses significant difficulty in the inference compared to when the number of nearest neighbors goes to infinity, the parametric standardizing rate is obtained for the asymptotic distribution of the proposed test statistics. Numerical studies show that the new test procedure maintains the intended type I error rate and has robust power to detect nonlinear dependency in the presence of outliers. The second part of the dissertation discusses the theory and numerical studies for testing the nonparametric effects of no covariate-treatment interaction and no main covariate based on the decomposition of the conditional mean of regression function that is potentially nonlinear. A similar test was discussed in Wang and Akritas (2006) for the effects defined through the decomposition of the conditional distribution function, but with the number of pseudo-replicates going to infinity. Consequently, their test statistics have slow convergence rates and computational speeds. Both test limitations are overcome using new model and tests. The last part of the dissertation develops theory and numerical studies to test for no covariate-treatment interaction, no simple covariate and no main covariate effects for cases when the number of factor levels and the number of covariate values are large.
Ge, Wentao. "Bootstrap-adjusted Quasi-likelihood Information Criteria for Mixed Model Selection." Bowling Green State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu156207676645628.
Hezel, Claudia Regina. "Avaliação das pressões em silos verticais conforme diferentes normas internacionais." Universidade Estadual do Oeste do Parana, 2007. http://tede.unioeste.br:8080/tede/handle/tede/213.
In engineering it is always looked to construct resistant structures, safe and economically viable. The safe and economic project of the structures is function of the imposed actions; in the case of silos it does not have a Brazilian norm that it prescribes on its projects and action, moreover, some divergences are observed between the foreign norms. This main work as objective the comparative analysis of the lapsings of the international norms: ENV (1995), the 3774 (1996), ACI 313 (1991), DIN 1055 (1987) and BMHB (1985), becoming an analysis statistics between them, being elaborated an electronic spread sheet of calculation of the pressures, being able itself to vary the properties, to facilitate to the analysis and the development of an theoretician-experimental study. It still has as purpose to present a theoretical study of the pressures in vertical silos, for this, a state of the art of the theories of pressures proposals for the most important researchers was developed and finally the modeling of a silo to be analyzed through Ansys® software. The comparative analysis statistics of the main foreign norms showed the existence of sufficiently significant differences between the gotten values, being that in the case of the horizontal pressures it has differences of up to 59% (between norm BMHB and DIN) and that in the average the lesser values are gotten in the British and the greaters in the German. It was still verified that the majority of the foreign norms adopts the theory of Janssen for the determination of the horizontal pressures. In relation to the vertical pressures, the difference between the norms arrived 400% almost (between norms ENV and), in average the lesser values is gotten in the European norm and the greaters in the Australian, were still observed that the model of Janssen, without no alteration are considered by norm ACI. E in the case of the pressures of attrition with the wall the lesser values are gotten in norm BMHB and the greaters in the DIN, having arrived themselves it 59% differences (between norm BMHB and DIN). In relation to the use of the Ansys® program an initial plan of modeling of a silo was sketched, observing itself that the program and the methodology are useful, being able itself to make a refinement, to compare the results and to vary the in agreement pressure the diverse existing norms, being able to be developed in a future work, becoming a comparative degree between practical theoretician and with silo use archetype and cells of pressure.
Na engenharia, procura-se sempre construir estruturas resistentes, seguras e economicamente viáveis. O projeto seguro e econômico das estruturas é função das ações impostas; no caso de silos, não há uma norma brasileira que prescreva sobre seus projetos e ações, além disso, algumas divergências são observadas entre as normas estrangeiras. Este trabalho tem como objetivo principal a análise comparativa das prescrições das normas internacionais: ENV (1995), AS 3774 (1996), ACI 313 (1991), DIN 1055 (1987) e BMHB (1985), fazendo-se uma análise estatística entre elas, sendo elaborada uma planilha eletrônica de cálculo das pressões, podendo-se variar as propriedades, facilitar a análise e o desenvolvimento de um estudo teórico-experimental. Tem ainda como finalidade apresentar um estudo teórico das pressões em silos verticais, para isso, um estado da arte das teorias de pressões propostas pelos mais importantes pesquisadores foi desenvolvido e por último a modelagem de um silo para ser analisado através do software Ansys®. A análise comparativa estatística das principais normas estrangeiras mostrou a existência de diferenças bastante significativas entre os valores obtidos, sendo que no caso das pressões horizontais há diferenças de até 59% (entre norma BMHB e DIN) e que na média os menores valores são obtidos na Britânica e os maiores na Alemã. Verificou-se ainda que a maioria das normas estrangeiras adota a teoria de Janssen para a determinação das pressões horizontais. Em relação às pressões verticais, a diferença entre as normas chegou a quase 400% (entre normas ENV e AS), em média os menores valores são obtidos na norma Européia e os maiores na Australiana, observou-se ainda que o modelo de Janssen, sem nenhuma alteração é proposto pela norma ACI. E no caso das pressões de atrito com a parede os menores valores são obtidos na norma BMHB e os maiores na DIN, chegando-se a diferenças de 59% (entre norma BMHB e DIN). Em relação ao uso do programa Ansys® esboçou-se um plano inicial de modelagem de um silo, observando-se que o programa e a metodologia são úteis, podendo-se fazer um refinamento, comparar os resultados e variar a pressão conforme as diversas normas existentes, podendo ser desenvolvido em um trabalho futuro, fazendo-se um comparativo entre teórico e prático com uso de silo protótipo e células de pressão.
Åkerblom, Thea, and Tobias Thor. "Fraud or Not?" Thesis, Uppsala universitet, Statistiska institutionen, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-388695.
Feng, Ying (Olivia). "The development of an instrument to measure individual dispositions towards rules and principles, with implications for financial regulation." Thesis, University of Glasgow, 2014. http://theses.gla.ac.uk/5300/.
Zhou, Dunke. "High-dimensional Data Clustering and Statistical Analysis of Clustering-based Data Summarization Products." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1338303646.
Zhao, Jianmin. "Optimal Clustering: Genetic Constrained K-Means and Linear Programming Algorithms." VCU Scholars Compass, 2006. http://hdl.handle.net/10156/1583.
Ruzgys, Martynas. "IT žinių portalo statistikos modulis pagrįstas grupavimu." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2007. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2007~D_20070816_143545-16583.
Presented data mining methods and clustering usage in current statistical systems and created statistics module prototype for data storage, analysis and visualization for IT knowledge portal. In suggested statistics prototype database periodical data transformations are performed. Statistical data accessed in portal can be clustered. Clustered information represented graphically may serve for interpreting information when trends may be noticed. One of the best known data clustering methods – parallel k-means method – is adapted for separating similar data clusters.
Soale, Abdul-Nasah. "Spatio-Temporal Analysis of Point Patterns." Digital Commons @ East Tennessee State University, 2016. https://dc.etsu.edu/etd/3120.
Solomon, Mary Joanna. "Multivariate Analysis of Korean Pop Music Audio Features." Bowling Green State University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1617105874719868.
Thorstensson, Linnea. "Clustering Methods as a Recruitment Tool for Smaller Companies." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273571.
Ny teknologi har förenklat processen för att söka arbete. Detta har resulterat i att företag får tusentals ansökningar som de måste ta hänsyn till. För att förenkla och påskynda rekryteringsprocessen har många stora företag börjat använda sig av maskininlärningsmetoder. Mindre företag, till exempel start-ups, har inte samma möjligheter för att digitalisera deras rekrytering. De har oftast inte tillgång till stora mängder historisk ansökningsdata. Den här uppsatsen undersöker därför med hjälp av topologisk dataanalys hur klustermetoder kan användas i rekrytering på mindre datauppsättningar. Den analyserar också hur abstraktionsnivån på datan påverkar resultaten. Metoderna visar sig fungera bra för jobbpositioner av högre nivå men har problem med jobb på en lägre nivå. Det visar sig också att valet av representation av kandidater och jobb har en stor inverkan på resultaten.
Sampath, Srinath. "Analysis of Agreement Between Two Long Ranked Lists." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1385415346.
Bergström, Sebastian. "Customer segmentation of retail chain customers using cluster analysis." Thesis, KTH, Matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252559.
I denna uppsats har klusteranalys tillämpats på data bestående av kunders konsumtionsvanor hos en detaljhandelskedja för att utföra kundsegmentering. Metoden som använts bestod av en två-stegs klusterprocedur där det första steget bestod av att skapa variabler, tillämpa en kvadratrotstransformation av datan för att hantera kunder som spenderar långt mer än genomsnittet och slutligen principalkomponentanalys för att reducera datans dimension. Detta gjordes för att mildra effekterna av att använda en högdimensionell datamängd. Det andra steget bestod av att tillämpa klusteralgoritmer på den transformerade datan. Metoderna som användes var K-means klustring, gaussiska blandningsmodeller i MCLUST-familjen, t-fördelade blandningsmodeller från tEIGEN-familjen och icke-negativ matrisfaktorisering (NMF). För klustring med NMF användes förbehandling av datan, mer specifikt genomfördes ingen PCA. Klusterpartitioner jämfördes baserat på silhuettvärden, Davies-Bouldin-indexet och ämneskunskap, som avslöjade att K-means klustring med K=3 producerar de rimligaste resultaten. Denna algoritm lyckades separera kunderna i olika segment beroende på hur många köp de gjort överlag och i dessa segment finns vissa skillnader i konsumtionsvanor. Med andra ord finns visst stöd för påståendet att kundsegmenten har en del variation i sina konsumtionsvanor.
Warnqvist, Åsa. "Poesifloden : Utgivningen av diktsamlingar i Sverige 1976–1995." Doctoral thesis, Uppsala universitet, Litteraturvetenskapliga institutionen, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-8329.
Tandan, Isabelle, and Erika Goteman. "Bank Customer Churn Prediction : A comparison between classification and evaluation methods." Thesis, Uppsala universitet, Statistiska institutionen, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-411918.
Kondapalli, Swetha. "An Approach To Cluster And Benchmark Regional Emergency Medical Service Agencies." Wright State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=wright1596491788206805.
Wang, Kaijun. "Graph-based Modern Nonparametrics For High-dimensional Data." Diss., Temple University Libraries, 2019. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/578840.
Ph.D.
Developing nonparametric statistical methods and inference procedures for high-dimensional large data have been a challenging frontier problem of statistics. To attack this problem, in recent years, a clear rising trend has been observed with a radically different viewpoint--``Graph-based Nonparametrics," which is the main research focus of this dissertation. The basic idea consists of two steps: (i) representation step: code the given data using graphs, (ii) analysis step: apply statistical methods on the graph-transformed problem to systematically tackle various types of data structures. Under this general framework, this dissertation develops two major research directions. Chapter 2—based on Mukhopadhyay and Wang (2019a)—introduces a new nonparametric method for high-dimensional k-sample comparison problem that is distribution-free, robust, and continues to work even when the dimension of the data is larger than the sample size. The proposed theory is based on modern LP-nonparametrics tools and unexplored connections with spectral graph theory. The key is to construct a specially-designed weighted graph from the data and to reformulate the k-sample problem into a community detection problem. The procedure is shown to possess various desirable properties along with a characteristic exploratory flavor that has practical consequences. The numerical examples show surprisingly well performance of our method under a broad range of realistic situations. Chapter 3—based on Mukhopadhyay and Wang (2019b)—revisits some foundational questions about network modeling that are still unsolved. In particular, we present unified statistical theory of the fundamental spectral graph methods (e.g., Laplacian, Modularity, Diffusion map, regularized Laplacian, Google PageRank model), which are often viewed as spectral heuristic-based empirical mystery facts. Despite half a century of research, this question has been one of the most formidable open issues, if not the core problem in modern network science. Our approach integrates modern nonparametric statistics, mathematical approximation theory (of integral equations), and computational harmonic analysis in a novel way to develop a theory that unifies and generalizes the existing paradigm. From a practical standpoint, it is shown that this perspective can provide adequate guidance for designing next-generation computational tools for large-scale problems. As an example, we have described the high-dimensional change-point detection problem. Chapter 4 discusses some further extensions and application of our methodologies to regularized spectral clustering and spatial graph regression problems. The dissertation concludes with the a discussion of two important areas of future studies.
Temple University--Theses
Lu, Shihai. "Novel Step-Down Multiple Testing Procedures Under Dependence." Bowling Green State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1416594298.
Chegancas, Rito Tiago Miguel. "Modelling and comparing protein interaction networks using subgraph counts." Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:dcc0eb0d-1dd8-428d-b2ec-447a806d6aa8.
Ježek, Jan. "Statistický modul k pracovní databázi TIVOLE." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217191.
Li, Xiaohu. "Security Analysis on Network Systems Based on Some Stochastic Models." ScholarWorks@UNO, 2014. http://scholarworks.uno.edu/td/1931.
Zhao, Yanchun. "Comparison of Proposed K Sample Tests with Dietz's Test for Nondecreasing Ordered Alternatives for Bivariate Normal Data." Thesis, North Dakota State University, 2011. https://hdl.handle.net/10365/28836.
Xie, Wen. "A Monte Carlo Simulation Study for Poly-k Test in Animal Carcinogenicity Studies." Thesis, California State University, Long Beach, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10638898.
An objective of animal carcinogenicity studies is to identify a tumorigenic potential in animals and to assess relevant risks in humans. Without using the cause-of-death information, the Cochran-Armitage test is applied for detecting a linear trend in the incidence of a tumor of interest across dose groups. The survival-adjusted Cochran–Armitage test, known as the Poly-k test, is investigated for the animals not at equal risk of tumor development by reflecting the shapes of the tumor onset distributions. In this thesis, we will validate Poly-k test through a Monte Carlo simulation study. We will design the simulation study to assess the size and power of the poly-k test using a wide range of k values for various tumor onset rates, for various competing risks rates, and for various tumor lethality rates. In this thesis, the Poly-k testing approach will be investigated to evaluate a dose-related linear trend of a test subject on the incidence of tumor and will be implemented in R package to be used widely amongst toxicologists.
Lindström, Alfred Minh. "Cutting and Destroying Graphs using k-cuts." Thesis, Uppsala universitet, Analys och sannolikhetsteori, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-395663.
Janštová, Michaela. "Segmentace měkkých tkání v obličejové části myších embryí v mikrotomografických datech." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-400988.
Charitidis, Theoharis. "Sequence Prediction for Identifying User Equipment Patterns in Mobile Networks." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-266380.
Med en ökande efterfrågan på banbredd och kortare latens i mobila nätverk har det gradvis blivit viktigare att förbättra nuvarande lösningar för hantering av nätverk genom att använda tillgänglig nätverksdata. Specifikt är det av intresse att kunna dra slutsatser kring vad framtida bandbredsförhållanden kommer vara, samt övriga parametrar av intresse genom att använda tillgänglig information om aktuell mobil användarutrustnings (UE) beteende i det mobila nätverket. Inom ramen av detta masterarbete ligger fokus på att, givet tidigare besökta radio accesspunkter (celler), kunna förutspå vilken nästkommande besökta cell kommer att vara. Av denna anledning är målet att undersöka vilken prestanda som kan uppnås när All-$K$-Order Markov (AKOM) modellen, med associerade varianter av denna, används på samlad data från tågfärder. Dessutom ges det förslag på test som avgör hur lämpligt det är att modelera observerade sekvenser av celler som en homogen Markovkedja med tillgänglig data. Slutligen undersöks även om besökstiden i en framtida cell kan förutspås med linjär regression givet ett historiskt fönster av tidigare cell och besökstids par. Erhållna resultat visar att måttlig till bra prestanda kan uppnås när kommande celler förutspås med AKOM modellen och associerade variationer. För prediktering av besökstid i kommande cell med linjär regression erhålles det däremot inte tillfredsställande resultat, vilket tyder på att en alternativ regressionsmetod antagligen är bättre lämpad för denna data.
Sebastian, Maria Treesa. "Modelling Bitcell Behaviour." Thesis, Linköpings universitet, Statistik och maskininlärning, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166218.
Cai, Weixing. "Multiple decision rules for equivalence among k populations and their applications in signal processing, clinical trials and classification." Related electronic resource: Current Research at SU : database of SU dissertations, recent titles available full text, 2008. http://wwwlib.umi.com/cr/syr/main.
Ferm, Martin. "Prediktering av skogliga variabler med data från flygburen laser : En jämförelse mellan multipla regressionsmodeller och k nearest neighbour-modeller." Thesis, Umeå University, Department of Statistics, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-34833.
Dineff, Dimitris. "Clustering using k-means algorithm in multivariate dependent models with factor structure." Thesis, Uppsala universitet, Tillämpad matematik och statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-429528.
Bhattacharya, Abhishek. "Nonparametric Statistics on Manifolds With Applications to Shape Spaces." Diss., The University of Arizona, 2008. http://hdl.handle.net/10150/194508.
Ramler, Ivan Peter. "Improved statistical methods for k-means clustering of noisy and directional data." [Ames, Iowa : Iowa State University], 2008.
Wong, Wing Sing. "K-nearest-neighbor queries with non-spatial predicates on range attributes /." View abstract or full-text, 2005. http://library.ust.hk/cgi/db/thesis.pl?COMP%202005%20WONGW.
Adkins, Laura Jean. "A Generalization of the EM Algorithm for Maximum Likelihood Estimation in Mallows' Model Using Partially Ranked Data and Asymptotic Relative Efficiencies for Some Ranking Tests of The K-Sample Problem /." The Ohio State University, 1996. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487933245538208.
Devie, Arnaud. "Caractérisation de l'usage des batteries Lithium-ion dans les véhicules électriques et hybrides. Application à l'étude du vieillissement et de la fiabilité." Phd thesis, Université Claude Bernard - Lyon I, 2012. http://tel.archives-ouvertes.fr/tel-00783338.
Berrett, Thomas Benjamin. "Modern k-nearest neighbour methods in entropy estimation, independence testing and classification." Thesis, University of Cambridge, 2017. https://www.repository.cam.ac.uk/handle/1810/267832.
Balabdaoui, Fadoua. "Nonparametric estimation of a k-monotone density : a new asymptotic distribution theory /." Thesis, Connect to this title online; UW restricted, 2004. http://hdl.handle.net/1773/8964.
Gatz, Philip L. Jr. "A comparison of three prediction based methods of choosing the ridge regression parameter k." Thesis, Virginia Tech, 1985. http://hdl.handle.net/10919/45724.
Master of Science
Staake, Thorsten R. "IP traffic statistics : a Markovian approach." Link to electronic thesis, 2002. http://www.wpi.edu/Pubs/ETD/Available/etd-0429102-123525.
Czudek, Marek. "Detekce síťových anomálií na základě NetFlow dat." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-235461.
Kolar, Michal. "Statistical Physics and Message Passing Algorithms. Two Case Studies: MAX-K-SAT Problem and Protein Flexibility." Doctoral thesis, SISSA, 2006. http://hdl.handle.net/20.500.11767/4659.
Gard, Rikard. "Design-based and Model-assisted estimators using Machine learning methods : Exploring the k-Nearest Neighbor metod applied to data from the Recreational Fishing Survey." Thesis, Örebro universitet, Handelshögskolan vid Örebro Universitet, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-72488.
Yan, Mingjin. "Methods of Determining the Number of Clusters in a Data Set and a New Clustering Criterion." Diss., Virginia Tech, 2005. http://hdl.handle.net/10919/29957.
Ph. D.