Thematische Bibliographien / Marginal maximum likelihood

Inhaltsverzeichnis

  1. Zeitschriftenartikel
  2. Dissertationen
  3. Bücher
  4. Buchteile
  5. Konferenzberichte

Auswahl der wissenschaftlichen Literatur zum Thema „Marginal maximum likelihood“

Autor: Grafiati
Veröffentlicht am 4. Juni 2021
Zuletzt aktualisiert am 5. Februar 2022

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Zeitschriftenartikel zum Thema "Marginal maximum likelihood"

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Schmidt, Klaus D., and Angela Wünsche. "Chain ladder, marginal sum and maximum likelihood estimation." Blätter der DGVFM 23, no. 3 (1998): 267–77. http://dx.doi.org/10.1007/bf02808289.

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Ramsay, J. O., and S. Winsberg. "Maximum marginal likelihood estimation for semiparametric item analysis." Psychometrika 56, no. 3 (1991): 365–79. http://dx.doi.org/10.1007/bf02294480.

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Wilson, Mark, and Raymond J. Adams. "Marginal Maximum Likelihood Estimation for the Ordered Partition Model." Journal of Educational Statistics 18, no. 1 (1993): 69–90. http://dx.doi.org/10.3102/10769986018001069.

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This article describes a marginal maximum likelihood (MML) estimation algorithm for Wilson’s (1990) ordered partition model (OPM), a measurement model that does not require the set of available responses to assessment tasks to be fully ordered. The model and its estimation algorithm are illustrated through the analysis of an example data set. In the example, we use the ordered partition model to compare a set of alternative scoring schemes for open-ended science items.
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Wilson, Mark, and Raymond J. Adams. "Marginal Maximum Likelihood Estimation for the Ordered Partition Model." Journal of Educational Statistics 18, no. 1 (1993): 69. http://dx.doi.org/10.2307/1165183.

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Hessen, David J., and Conor V. Dolan. "Heteroscedastic one-factor models and marginal maximum likelihood estimation." British Journal of Mathematical and Statistical Psychology 62, no. 1 (2009): 57–77. http://dx.doi.org/10.1348/000711007x248884.

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Tanaka, Kazuyuki. "Maximum Marginal Likelihood Estimation and Constrained Optimization in Image Restoration." Transactions of the Japanese Society for Artificial Intelligence 16 (2001): 246–58. http://dx.doi.org/10.1527/tjsai.16.246.

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Hess, Klaus T. "Marginal-sum and maximum-likelihood estimation in a multiplicative tariff." AStA Advances in Statistical Analysis 93, no. 2 (2008): 221–33. http://dx.doi.org/10.1007/s10182-008-0079-9.

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Suesse, Thomas. "Marginal maximum likelihood estimation of SAR models with missing data." Computational Statistics & Data Analysis 120 (April 2018): 98–110. http://dx.doi.org/10.1016/j.csda.2017.11.004.

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Wood, Simon N. "Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models." Journal of the Royal Statistical Society: Series B (Statistical Methodology) 73, no. 1 (2010): 3–36. http://dx.doi.org/10.1111/j.1467-9868.2010.00749.x.

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De Leeuw, Jan, and Norman Verhelst. "Maximum Likelihood Estimation in Generalized Rasch Models." Journal of Educational Statistics 11, no. 3 (1986): 183–96. http://dx.doi.org/10.3102/10769986011003183.

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We review various models and techniques that have been proposed for item analysis according to the ideas of Rasch. A general model is proposed that unifies them, and maximum likelihood procedures are discussed for this general model. We show that unconditional maximum likelihood estimation in the functional Rasch model, as proposed by Wright and Haberman, is an important special case. Conditional maximum likelihood estimation, as proposed by Rasch and Andersen, is another important special case. Both procedures are related to marginal maximum likelihood estimation in the structural Rasch model
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Dissertationen zum Thema "Marginal maximum likelihood"

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Filstroff, Louis. "Contributions to probabilistic non-negative matrix factorization - Maximum marginal likelihood estimation and Markovian temporal models." Thesis, Toulouse, INPT, 2019. http://www.theses.fr/2019INPT0143.

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La factorisation en matrices non-négatives (NMF, de l’anglais non-negative matrix factorization) est aujourd’hui l’une des techniques de réduction de la dimensionnalité les plus répandues, dont les domaines d’application recouvrent le traitement du signal audio, l’imagerie hyperspectrale, ou encore les systèmes de recommandation. Sous sa forme la plus simple, la NMF a pour but de trouver une approximation d’une matrice des données non-négative (c’est-à-dire à coefficients positifs ou nuls) par le produit de deux matrices non-négatives, appelées les facteurs. L’une de ces matrices peut être int
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Do, Hoan. "Parameter Recovery for the Four-Parameter Unidimensional Binary IRT Model: A Comparison of Marginal Maximum Likelihood and Markov Chain Monte Carlo Approaches." Ohio University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1616202942083398.

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野口, 裕之, та Hiroyuki G. NOGUCHI. "<原著>共通被験者デザインにおける等化係数の周辺最尤法による推定". 名古屋大学教育学部, 1990. http://hdl.handle.net/2237/3827.

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Sazak, Hakan Savas. "Estimation And Hypothesis Testing In Stochastic Regression." Phd thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/3/724294/index.pdf.

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Regression analysis is very popular among researchers in various fields but almost all the researchers use the classical methods which assume that X is nonstochastic and the error is normally distributed. However, in real life problems, X is generally stochastic and error can be nonnormal. Maximum likelihood (ML) estimation technique which is known to have optimal features, is very problematic in situations when the distribution of X (marginal part) or error (conditional part) is nonnormal. Modified maximum likelihood (MML) technique which is asymptotically giving the estimators equivalent to
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Pereira, Nayara Negrão. "Modelos não lineares mistos na análise de curvas de crescimento de bovinos da raça Tabapuã." Universidade Federal de Viçosa, 2014. http://locus.ufv.br/handle/123456789/4080.

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Made available in DSpace on 2015-03-26T13:32:22Z (GMT). No. of bitstreams: 1 texto completo.pdf: 434501 bytes, checksum: 0ab5e3021a0cbd11c8c868f09b269488 (MD5) Previous issue date: 2014-02-21<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>The analysis of growth curves of animals has been widely used to increase the efficiency of beef cattle ranching. Related to growth curves with nonlinear mixed models strategic, studies have strategic applications in genetic improving programs in defining selection criteria for earliness and weight gain, aimed at, that for each individual
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Svoboda, Ondřej. "Využití Poissonova rozdělení pro předpovědi výsledků sportovních utkání." Master's thesis, Vysoká škola ekonomická v Praze, 2017. http://www.nusl.cz/ntk/nusl-359303.

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The aim of this master thesis is to verify possibility to use Poisson distribution for predicting soccer matches. At first for analysis is applied the original model from English statisticians Mark J. Dixon and Stuart G. Coles from 1997. Thereafter the model is extended in the thesis. All models are based on the maximum likelihood method. Chosen league for deducing conclusions is the first English league - Premier League. The matches are played in the period from season 2004/2005 to half of season 2015/2016. For identification of models performance are used the most market odds from American b
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Seong, Tae-Je. "Sensitivity of marginal maximum likelihood estimation of item and ability parameters to the characteristics of the prior ability distributions." 1988. http://catalog.hathitrust.org/api/volumes/oclc/20077908.html.

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Thesis (Ph. D.)--University of Wisconsin--Madison, 1988.<br>Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 99-103).
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Ferdous, Nazneen. "A new estimation approach for modeling activity-travel behavior : applications of the composite marginal likelihood approach in modeling multidimensional choices." Thesis, 2011. http://hdl.handle.net/2152/ETD-UT-2011-08-4224.

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The research in the field of travel demand modeling is driven by the need to understand individuals’ behavior in the context of travel-related decisions as accurately as possible. In this regard, the activity-based approach to modeling travel demand has received substantial attention in the past decade, both in the research arena as well as in practice. At the same time, recent efforts have been focused on more fully realizing the potential of activity-based models by explicitly recognizing the multi-dimensional nature of activity-travel decisions. However, as more behavioral elements/dimensio
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Sener, Ipek N. "Accommodating flexible spatial and social dependency structures in discrete choice models of activity-based travel demand modeling." Thesis, 2010. http://hdl.handle.net/2152/ETD-UT-2010-08-1609.

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Spatial and social dependence shape human activity-travel pattern decisions and their antecedent choices. Although the transportation literature has long recognized the importance of considering spatial and social dependencies in modeling individuals’ choice behavior, there has been less research on techniques to accommodate these dependencies in discrete choice models, mainly because of the modeling complexities introduced by such interdependencies. The main goal of this dissertation, therefore, is to propose new modeling approaches for accommodating flexible spatial and social dependency str
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Maas, Bea. "Birds, bats and arthropods in tropical agroforestry landscapes: Functional diversity, multitrophic interactions and crop yield." Doctoral thesis, 2013. http://hdl.handle.net/11858/00-1735-0000-0022-5E77-5.

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Bücher zum Thema "Marginal maximum likelihood"

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Xcalibre(tm) 1.10: Marginal Maximum-likelihood Estimation Program. CRC, 1996.

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Xcalibre(tm) 1.10: Marginal Maximum-likelihood Estimation Program. CRC, 1996.

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Xcalibre(tm) 1.10: Marginal Maximum-likelihood Estimation Program. CRC, 1996.

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Corporation, Assessment Systems, ed. User's manual for the XCALIBRE marginal maximum-likelihood estimation program. Assessment Systems Corporation, 1996.

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Buchteile zum Thema "Marginal maximum likelihood"

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Kim, Seock-Ho, Yu Bao, Erin Horan, Meereem Kim, and Allan S. Cohen. "Gauss–Hermite Quadrature in Marginal Maximum Likelihood Estimation of Item Parameters." In Quantitative Psychology Research. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19977-1_4.

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Bhat, Chandra R., Cristiano Varin, and Nazneen Ferdous. "A comparison of the maximum simulated likelihood and composite marginal likelihood estimation approaches in the context of the multivariate ordered-response model." In Maximum Simulated Likelihood Methods and Applications. Emerald Group Publishing Limited, 2010. http://dx.doi.org/10.1108/s0731-9053(2010)0000026007.

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Vidyasagar, M. "Introduction to Probability and Random Variables." In Hidden Markov Processes. Princeton University Press, 2014. http://dx.doi.org/10.23943/princeton/9780691133157.003.0001.

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This chapter provides an introduction to probability and random variables. Probability theory is an attempt to formalize the notion of uncertainty in the outcome of an experiment. For instance, suppose an urn contains four balls, colored red, blue, white, and green respectively. Suppose we dip our hand in the urn and pull out one of the balls “at random.” What is the likelihood that the ball we pull out will be red? The chapter first defines a random variable and probability before discussing the function of a random variable and expected value. It then considers total variation distance, joint and marginal probability distributions, independence and conditional probability distributions, Bayes' rule, and maximum likelihood estimates. Finally, it describes random variables assuming infinitely many values, focusing on Markov and Chebycheff inequalities, Hoeffding's inequality, Monte Carlo simulation, and Cramér's theorem.
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Konferenzberichte zum Thema "Marginal maximum likelihood"

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Matsumoto, T. "Marginal Likelihood Change Detection: Particle Filter Approach." In BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: 25th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. AIP, 2005. http://dx.doi.org/10.1063/1.2149788.

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Dikmen, Onur, and Cedric Fevotte. "Maximum marginal likelihood estimation for nonnegative dictionary learning." In ICASSP 2011 - 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2011. http://dx.doi.org/10.1109/icassp.2011.5946901.

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Guu, Kelvin, Panupong Pasupat, Evan Liu, and Percy Liang. "From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood." In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, 2017. http://dx.doi.org/10.18653/v1/p17-1097.

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Sun, Xueyan, Fengxuan Jing, Xiaoyao Xie, and Anyu Zhang. "Marginal maximum likelihood estimation of single parameter logistic based on EM algorithm." In 2010 International Conference on Anti-Counterfeiting, Security and Identification (2010 ASID). IEEE, 2010. http://dx.doi.org/10.1109/icasid.2010.5551506.

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Furui, Akira, Hideaki Hayashi, Yuichi Kurita, and Toshio Tsuji. "Variance distribution analysis of surface EMG signals based on marginal maximum likelihood estimation." In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2017. http://dx.doi.org/10.1109/embc.2017.8037368.

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Pereyra, Marcelo, Nick Whiteley, Christophe Andrieu, and Jean-Yves Tourneret. "Maximum marginal likelihood estimation of the granularity coefficient of a Potts-Markov random field within an MCMC algorithm." In 2014 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2014. http://dx.doi.org/10.1109/ssp.2014.6884590.

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Chen, Gaoxiang, and Jiang Fan. "Reliability Analysis on Fatigue Life of Turbine Disk Regarding for the Correlation Between Divided Zones." In ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/gt2020-14694.

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Abstract Failure of a turbine disk may occur in multiple parts of the disk. It should be taken into consideration that during the process of failure, the failure risk of other relevant parts tend to increase due to the change of stress state of the disk. Therefore, the failure risks of different parts are related. This paper puts forward a reliability analysis method considering the failure correlation between different zones of the disk. Firstly, the dependence between the low cycle fatigue (LCF) of the whole turbine disk and the LCF of each zone is considered in building a multivariate relia
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Hoppe, Fred M., and Lin Fang. "Bayesian Prediction for the Gumbel Distribution Applied to Feeder Pipe Thicknesses." In 16th International Conference on Nuclear Engineering. ASMEDC, 2008. http://dx.doi.org/10.1115/icone16-48871.

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This paper develops Bayesian prediction intervals for the minimum of any specified number of future measurements from a Gumbel distribution based on previous observations. The need for such intervals arises in the analysis of data from outlet side feeder pipes at Ontario nuclear power plants. The issue is how to best use these measurements in order to arrive at a statistically sound conclusion concerning the minimum thickness of all remaining uninspected pipes, in particular with what confidence can it be asserted that the remaining wall thicknesses are above an acceptable minimum to ensure a
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Mathew, Jino, Richard J. Moat, and P. John Bouchard. "Prediction of Pipe Girth Weld Residual Stress Profiles Using Artificial Neural Networks." In ASME 2013 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/pvp2013-97491.

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Defect assessment procedures such as BS7910, R6 and API 579-1 provide bounding profiles that can be used to characterise the residual stresses present in a weld. The bounding profiles in BS7910 and the R6 procedure have been based on examination of residual stress measurements and expert judgment. This approach suffers from the drawback that the upper bound curve can increase as more measurements and data scatter are obtained. The consequence of this is that structural integrity assessments of defective plant can be over-conservative by a large margin, and may lead to unnecessary and costly re
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Hodapp, David, Stephan den Breejen, Tomasz Pniewski, Hai Ming Wang, and Zhen Lin. "On the Likelihood of Encountering Design Conditions During Heavy Transport - A Case Study of 56 Replicate Voyages From Korea to the Suez Canal." In Offshore Technology Conference. OTC, 2021. http://dx.doi.org/10.4043/30932-ms.

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Abstract A critical element in heavy transport design is the identification of design wave conditions. Since most transports are one-of-a-kind, statistically meaningful comparisons of observed vs. design conditions are nonexistent. The present paper examines the experience from a recent oil and gas giga-project, encompassing 56 replicate voyages from Korea to the Suez Canal. In doing so, this paper provides an anchor point for assessing the real-world likelihood of exceeding design wave conditions during heavy transport. Voyage maximum wave conditions from the 56 replicate voyages are found to
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