Дисертації з теми "Test error estimation"
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Steeno, Gregory Sean. "Robust and Nonparametric Methods for Topology Error Identification and Voltage Calibration in Power Systems Engineering." Diss., Virginia Tech, 1999. http://hdl.handle.net/10919/39305.
Повний текст джерелаPh. D.
Albertson, K. V. "Pre-test estimation in a regression model with a mis-specified error covariance matrix." Thesis, University of Canterbury. Economics, 1993. http://hdl.handle.net/10092/4315.
Повний текст джерелаKutluay, Umit. "Aerodynamic Parameter Estimation Using Flight Test Data." Phd thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613786/index.pdf.
Повний текст джерелаa very limited number of studies on autonomous vehicles are available in the open literature. This doctoral study shows the applicability of the existing methods to aerodynamic model identification and parameter estimation problem of autonomous vehicles. Also practical considerations for the application of model structure determination methods to autonomous vehicles are not well defined in the literature and this study serves as a guide to these considerations.
Jin, Fei. "Essays in Spatial Econometrics: Estimation, Specification Test and the Bootstrap." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1365612737.
Повний текст джерелаLanger, Michelle M. Thissen David. "A reexamination of Lord's Wald test for differential item functioning using item response theory and modern error estimation." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2008. http://dc.lib.unc.edu/u?/etd,2084.
Повний текст джерелаTitle from electronic title page (viewed Feb. 17, 2009). "... in partial fulfillment of the requirements for the degree of Doctor in Philosophy in the Department of Psychology Quantitative." Discipline: Psychology; Department/School: Psychology.
Tanner, Whitney Ford. "Improved Standard Error Estimation for Maintaining the Validities of Inference in Small-Sample Cluster Randomized Trials and Longitudinal Studies." UKnowledge, 2018. https://uknowledge.uky.edu/epb_etds/20.
Повний текст джерелаLehmann, Rüdiger. "Observation error model selection by information criteria vs. normality testing." Hochschule für Technik und Wirtschaft Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:520-qucosa-211721.
Повний текст джерелаLehmann, Rüdiger. "Observation error model selection by information criteria vs. normality testing." Hochschule für Technik und Wirtschaft Dresden, 2015. https://htw-dresden.qucosa.de/id/qucosa%3A23301.
Повний текст джерелаLiu, Yu. "Estimation, Decision and Applications to Target Tracking." ScholarWorks@UNO, 2013. http://scholarworks.uno.edu/td/1758.
Повний текст джерелаLauer, Peccoud Marie-Reine. "Méthodes statistiques pour le controle de qualité en présence d'erreurs de mesure." Université Joseph Fourier (Grenoble), 1997. http://www.theses.fr/1997NICE5136.
Повний текст джерелаÖhman, Marie-Louise. "Aspects of analysis of small-sample right censored data using generalized Wilcoxon rank tests." Doctoral thesis, Umeå universitet, Statistiska institutionen, 1994. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-7313.
Повний текст джерелаdigitalisering@umu
Senteney, Michael H. "A Monte Carlo Study to Determine Sample Size for Multiple Comparison Procedures in ANOVA." Ohio University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou160433478343909.
Повний текст джерелаDufresne, Jean-Louis. "Etude et developpement d'une procedure experimentale pour l'identification des parametres d'un modele thermique de capteurs solaires a air en regime dynamique." Paris 7, 1987. http://www.theses.fr/1987PA077107.
Повний текст джерелаTabatabaey, S. M. Mehdi (Seyed Mohammad Mehdi) Carleton University Dissertation Mathematics and Statistics. "Preliminary test approach estimation: regression model with spherically symmetric errors." Ottawa, 1995.
Знайти повний текст джерелаLee, Dong Jin. "Essays on optimal tests for parameter instability." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2008. http://wwwlib.umi.com/cr/ucsd/fullcit?p3304195.
Повний текст джерелаTitle from first page of PDF file (viewed June 16, 2008). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 158-164).
Gutiérrez, Ayala Evelyn Patricia. "Estimation of the disease prevalence when diagnostic tests are subject to classification error: bayesian approach." Master's thesis, Pontificia Universidad Católica del Perú, 2016. http://tesis.pucp.edu.pe/repositorio/handle/123456789/7631.
Повний текст джерелаTesis
Feuardent, Valérie. "Amélioration des modèles par recalage : application aux structures spatiales." Cachan, Ecole normale supérieure, 1997. http://www.theses.fr/1997DENS0019.
Повний текст джерелаMai, Hoang Bao An. "Analyse de performance d'un système d'authentification utilisant des codes graphiques." Thesis, Ecole centrale de Lille, 2014. http://www.theses.fr/2014ECLI0017/document.
Повний текст джерелаWe study in this thesis the impact of an authentication system based on 2D graphical codes that are corrupted by a physically unclonable noise such as the one emitted by a printing process. The core of such a system is that a printing process at very high resolution can be seen as a stochastic process and hence produces noise, this is due to the nature of different elements such as the randomness of paper fibers, the physical properties of the ink drop, the dot addressability of the printer, etc. We consider a scenario where the opponent may estimate the original graphical code and tries to reproduce the forged one using his printing process in order to fool the receiver. Our first solution to perform authentication is to use hypothesis testing on the observed memoryless sequences of a printed graphical code considering the assumption that we are able to perfectly model the printing process. The proposed approach arises from error exponent using exponential bounds as a direct application of the large deviation principle. Moreover, when looking for a more practical scenario, we take into account the estimation of the printing process used to generate the graphical code of the opponent, and we see how it impacts the performance of the authentication system. We show that it is both possible to compute the distribution of the probability of non-detection and to compute the average performance of the authentication system when the opponent channel has to be estimated. The last part of this thesis addresses the optimization problem of the printing channel
Sawade, Christoph. "Active evaluation of predictive models." Phd thesis, Universität Potsdam, 2012. http://opus.kobv.de/ubp/volltexte/2013/6558/.
Повний текст джерелаMaschinelles Lernen befasst sich mit Algorithmen zur Inferenz von Vorhersagemodelle aus komplexen Daten. Vorhersagemodelle sind Funktionen, die einer Eingabe – wie zum Beispiel dem Text einer E-Mail – ein anwendungsspezifisches Zielattribut – wie „Spam“ oder „Nicht-Spam“ – zuweisen. Sie finden Anwendung beim Filtern von Spam-Nachrichten, bei der Text- und Gesichtserkennung oder auch bei der personalisierten Empfehlung von Produkten. Um ein Modell in der Praxis einzusetzen, ist es notwendig, die Vorhersagequalität bezüglich der zukünftigen Anwendung zu schätzen. Für diese Evaluierung werden Instanzen des Eingaberaums benötigt, für die das zugehörige Zielattribut bekannt ist. Instanzen, wie E-Mails, Bilder oder das protokollierte Nutzerverhalten von Kunden, stehen häufig in großem Umfang zur Verfügung. Die Bestimmung der zugehörigen Zielattribute ist jedoch ein manueller Prozess, der kosten- und zeitaufwendig sein kann und mitunter spezielles Fachwissen erfordert. Ziel dieser Arbeit ist die genaue Schätzung der Vorhersagequalität eines gegebenen Modells mit einer minimalen Anzahl von Testinstanzen. Wir untersuchen aktive Evaluierungsprozesse, die mit Hilfe einer Wahrscheinlichkeitsverteilung Instanzen auswählen, für die das Zielattribut bestimmt wird. Die Vorhersagequalität kann anhand verschiedener Kriterien, wie der Fehlerrate, des mittleren quadratischen Verlusts oder des F-measures, bemessen werden. Wir leiten die Wahrscheinlichkeitsverteilungen her, die den Schätzfehler bezüglich eines gegebenen Maßes minimieren. Der verbleibende Schätzfehler lässt sich anhand von Konfidenzintervallen quantifizieren, die sich aus der Verteilung des Schätzers ergeben. In vielen Anwendungen bestimmen individuelle Eigenschaften der Instanzen die Kosten, die für die Bestimmung des Zielattributs anfallen. So unterscheiden sich Dokumente beispielsweise in der Textlänge und dem technischen Anspruch. Diese Eigenschaften beeinflussen die Zeit, die benötigt wird, mögliche Zielattribute wie das Thema oder die Relevanz zuzuweisen. Wir leiten unter Beachtung dieser instanzspezifischen Unterschiede die optimale Verteilung her. Die entwickelten Evaluierungsmethoden werden auf verschiedenen Datensätzen untersucht. Wir analysieren in diesem Zusammenhang Bedingungen, unter denen die aktive Evaluierung genauere Schätzungen liefert als der Standardansatz, bei dem Instanzen zufällig aus der Testverteilung gezogen werden. Eine verwandte Problemstellung ist der Vergleich von zwei Modellen. Um festzustellen, welches Modell in der Praxis eine höhere Vorhersagequalität aufweist, wird eine Menge von Testinstanzen ausgewählt und das zugehörige Zielattribut bestimmt. Ein anschließender statistischer Test erlaubt Aussagen über die Signifikanz der beobachteten Unterschiede. Die Teststärke hängt von der Verteilung ab, nach der die Instanzen ausgewählt wurden. Wir bestimmen die Verteilung, die die Teststärke maximiert und damit die Wahrscheinlichkeit minimiert, sich für das schlechtere Modell zu entscheiden. Des Weiteren geben wir eine Möglichkeit an, den entwickelten Ansatz für den Vergleich von mehreren Modellen zu verwenden. Wir zeigen empirisch, dass die aktive Evaluierungsmethode im Vergleich zur zufälligen Auswahl von Testinstanzen in vielen Anwendungen eine höhere Teststärke aufweist. Im letzten Teil der Arbeit werden das Konzept der aktiven Evaluierung und das des aktiven Modellvergleichs auf Rankingprobleme angewendet. Wir leiten die optimalen Verteilungen für das Schätzen der Qualitätsmaße Discounted Cumulative Gain und Expected Reciprocal Rank her. Eine empirische Studie zur Evaluierung von Suchmaschinen zeigt, dass die neu entwickelten Verfahren signifikant genauere Schätzungen der Rankingqualität liefern als die untersuchten Referenzverfahren.
Garcia, Luz Mery González. "Modelos baseados no planejamento para análise de populações finitas." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-19062008-183609/.
Повний текст джерелаWe consider optimal estimation of finite population parameters with data obtained via simple random samples. In this context, we extend a finite population mixed model proposed by Stanek, Singer & Lencina (2004, Journal of Statistical Planning and Inference) by including measurement errors (endogenous or exogenous) and auxiliary information. Assuming that variance components are known, we show that the proposed estimators/predictors have the smallest mean squared error in the class of unbiased estimators. Using simulation studies, we compare the performance of the empirical estimators/predictors obtained by replacing variance components with estimates with the performance of a traditional estimator. We also extend the finite population mixed model to data obtained via pretest-posttest designs. Through simulation studies, we compare the performance of the empirical estimator of the difference in gain between groups with the performance of the usual repeated measures estimator and with the performance of the usual analysis of covariance estimator obtained via ordinary least squares. The empirical estimator has smaller mean squared error and bias than the alternative estimators under consideration. In general, we recommend the use of the proposed estimators/ predictors for either asymmetric response distributions or small samples.
Percy, Edward Richard Jr. "Corrected LM goodness-of-fit tests with applicaton to stock returns." The Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=osu1134416514.
Повний текст джерелаSchepsmeier, Ulf [Verfasser], Claudia [Akademischer Betreuer] Czado, Kjersti [Akademischer Betreuer] Aas, and Peter X. K. [Akademischer Betreuer] Song. "Estimating standard errors and efficient goodness-of-fit tests for regular vine copula models / Ulf Schepsmeier. Gutachter: Kjersti Aas ; Peter X. K. Song ; Claudia Czado. Betreuer: Claudia Czado." München : Universitätsbibliothek der TU München, 2014. http://d-nb.info/1047883562/34.
Повний текст джерелаTardivel, Patrick. "Représentation parcimonieuse et procédures de tests multiples : application à la métabolomique." Thesis, Toulouse 3, 2017. http://www.theses.fr/2017TOU30316/document.
Повний текст джерелаLet Y be a Gaussian vector distributed according to N (m,sigma²Idn) and X a matrix of dimension n x p with Y observed, m unknown, sigma and X known. In the linear model, m is assumed to be a linear combination of the columns of X In small dimension, when n ≥ p and ker (X) = 0, there exists a unique parameter Beta* such that m = X Beta*; then we can rewrite Y = Beta* + Epsilon. In the small-dimensional linear Gaussian model framework, we construct a new multiple testing procedure controlling the FWER to test the null hypotheses Beta*i = 0 for i belongs to [[1,p]]. This procedure is applied in metabolomics through the freeware ASICS available online. ASICS allows to identify and to qualify metabolites via the analyse of RMN spectra. In high dimension, when n < p we have ker (X) ≠ 0 consequently the parameter Beta* described above is no longer unique. In the noiseless case when Sigma = 0, implying thus Y = m, we show that the solutions of the linear system of equation Y = X Beta having a minimal number of non-zero components are obtained via the lalpha with alpha small enough
Higson, Edward John. "Bayesian methods and machine learning in astrophysics." Thesis, University of Cambridge, 2019. https://www.repository.cam.ac.uk/handle/1810/289728.
Повний текст джерелаLin, Yi-Chou, and 林益州. "An Error Estimation Approach of Test Stimulus for ADC Testing." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/24527218069546163911.
Повний текст джерела雲林科技大學
電子與資訊工程研究所
96
This work presents a novel error estimation method of test stimulus for analog to digital converters testing. The error estimation method of test stimulus is based on a statistical successive approximation approach. By applying random patterns with a uniform distribution to ADC, we simplify the piecewise linear relationship between the input and output of the ADC and derive the equations describe the error of test stimulus. The proposed method not only reduces the computational complexity but provides effective and accurate information of test stimulus in developing an ADC testing scheme or BIST methodology.
Chia-ChuanLi and 李嘉銓. "Bit Error Rate Estimation Method and Test Technique for SAR ADCs." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/9hvys9.
Повний текст джерелаSango, Joel. "Sur les tests de type diagnostic dans la validation des hypothèses de bruit blanc et de non corrélation." Thèse, 2016. http://hdl.handle.net/1866/18382.
Повний текст джерелаIn statistical modeling, we assume that the phenomenon of interest is generated by a model that can be fitted to the observed data. The part of the phenomenon not explained by the model is called error or innovation. There are two parts in the model. The main part is supposed to explain the observed data, while the unexplained part which is supposed to be negligible is also called error or innovation. In order to simplify the structures, the model are often assumed to rely on a finite set of parameters. The quality of a model depends also on the parameter estimators and their properties. For example, are the estimators relatively close to the true parameters ? Some questions also address the goodness-of-fit of the model to the observed data. This question is answered by studying the statistical and probabilistic properties of the innovations. On the other hand, it is also of interest to evaluate the presence or the absence of relationships between the observed data. Portmanteau or diagnostic type tests are useful to address such issue. The thesis is presented in the form of three projects. The first project is written in English as a scientific paper. It was recently submitted for publication. In that project, we study the class of vector multiplicative error models (vMEM). We use the properties of the Generalized Method of Moments to derive the asymptotic distribution of sample autocovariance function. This allows us to propose a new test statistic. Under the null hypothesis of adequacy, the asymptotic distributions of the popular Hosking-Ljung-Box (HLB) test statistics are found to converge in distribution to weighted sums of independent chi-squared random variables. A generalized HLB test statistic is motivated by comparing a vector spectral density estimator of the residuals with the spectral density calculated under the null hypothesis. In the second project, we derive the asymptotic distribution under weak dependence of cross covariances of covariance stationary processes. The weak dependence is defined in term of the limited effect of a given information on future observations. This recalls the notion of stability and geometric moment contraction. These conditions of weak dependence defined here are more general than the invariance of conditional moments used by many authors. A test statistic based on cross covariances is proposed and its asymptotic distribution is established. In the elaboration of the test statistics, the covariance matrix of the cross covariances is obtained from a vector autoregressive procedure robust to autocorrelation and heteroskedasticity. Simulations are also carried on to study the properties of the proposed test and also to compare it to existing tests. In the third project, we consider a cointegrated periodic model. Periodic models are present in the domain of meteorology, hydrology and economics. When modelling many processes, it can happen that the processes are just driven by a common trend. This situation leads to spurious regressions when the series are integrated but have some linear combinations that are stationary. This is called cointegration. The number of stationary linear combinations that are linearly independent is called cointegration rank. So, to model the real relationship between the processes, it is necessary to take into account the cointegration rank. In the presence of periodic time series, it is called periodic cointegration. It occurs when time series are periodically integrated but have some linear combinations that are periodically stationary. A two step estimation method is considered. The first step is the full rank estimation method that ignores the cointegration rank. It provides initial estimators to the second step estimation which is the reduced rank estimation. It is non linear and iterative. Asymptotic properties of the estimators are also established. In order to check for model adequacy, portmanteau type tests and their asymptotic distributions are also derived and their asymptotic distribution are studied. Simulation results are also presented to show the behaviour of the proposed test.
Chen, Cheng-Chien, and 陳政謙. "The Impact of Anchor Item Parameters with Estimating Errors on Test Equating." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/81235892860042402336.
Повний текст джерела輔仁大學
應用統計學研究所
99
Test equating is a statistical process to adjust scores on different forms to the same scale. According to the item response theory, while processing test equating, anchor items must be involved in different tests, so that they can be served as a link among these tests. According to related references, an error that occurs during item calibration can affect the capability estimation of the tested. This research discusses that, with different reaction modes towards different items, the anchor items can cause errors under different parameters and levels; and that different amounts of the tested, test items, and anchor items have certain impacts on test equating. The result shows that the level of errors occurred in the anchor items can be directly reflected on the test equating, which has greater impact when the difficulty parameters have estimation errors; and increasing test items can reduce bias during test equating, while the amount of the tested has not much impact, and finally, the equating of the anchor shows the best effect when it takes up to 20% to 30% of test items.
Toland, Michael D. "Determining the accuracy of item parameter standard error of estimates in BILOG-MG 3." 2008. http://proquest.umi.com/pqdweb?did=1564034791&sid=3&Fmt=2&clientId=14215&RQT=309&VName=PQD.
Повний текст джерелаTitle from title screen (site viewed Nov. 25, 2008). PDF text:vii, 125 p. : ill. ; 29 Mb. UMI publication number: AAT 3317288. Includes bibliographical references. Also available in microfilm and microfiche formats.