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Relevant bibliographies by topics / Maximum likelihood procedures

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Academic literature on the topic 'Maximum likelihood procedures'

Author: Grafiati

Published: 4 June 2021

Last updated: 20 February 2023

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Journal articles on the topic "Maximum likelihood procedures"

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Green, David M. "Maximum‐likelihood procedures and the inattentive observer." Journal of the Acoustical Society of America 97, no. 6 (1995): 3749–60. http://dx.doi.org/10.1121/1.412390.

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Goutsias, John, and Jerry M. Mendel. "Maximum‐likelihood deconvolution: An optimization theory perspective." GEOPHYSICS 51, no. 6 (1986): 1206–20. http://dx.doi.org/10.1190/1.1442175.

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A large number of deconvolution procedures have appeared in the literature during the last three decades, including a number of maximum‐likelihood deconvolution (MLD) procedures. The major advantages of the MLD procedures are (1) no assumption is required about the phase of the wavelet (most of the classical deconvolution techniques assume a minimum‐phase wavelet, an assumption that may not be appropriate for many data sets); (2) MLD procedures can resolve closely spaced events (i.e., they are high‐resolution techniques); and (3) they can efficiently handle modeling and measurement errors, as

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Kosfeld, R. "Efficient iteration procedures for maximum likelihood factor analysis." Statistische Hefte 28, no. 1 (1987): 301–15. http://dx.doi.org/10.1007/bf02932610.

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Shore, Haim. "Response modeling methodology (RMM)—maximum likelihood estimation procedures." Computational Statistics & Data Analysis 49, no. 4 (2005): 1148–72. http://dx.doi.org/10.1016/j.csda.2004.07.006.

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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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Yang, Miin-Shen. "On a class of fuzzy classification maximum likelihood procedures." Fuzzy Sets and Systems 57, no. 3 (1993): 365–75. http://dx.doi.org/10.1016/0165-0114(93)90030-l.

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Johnson, Roger W., and Donna V. Kliche. "Large Sample Comparison of Parameter Estimates in Gamma Raindrop Distributions." Atmosphere 11, no. 4 (2020): 333. http://dx.doi.org/10.3390/atmos11040333.

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Raindrop size distributions have been characterized through the gamma family. Over the years, quite a few estimates of these gamma parameters have been proposed. The natural question for the practitioner, then, is what estimation procedure should be used. We provide guidance in answering this question when a large sample size (>2000 drops) of accurately measured drops is available. Seven estimation procedures from the literature: five method of moments procedures, maximum likelihood, and a pseudo maximum likelihood procedure, were examined. We show that the two maximum likelihood procedures

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Rukhin, A. L., and J. Shi. "Recursive procedures for multiple decisions: finite time memory and stepwise maximum likelihood procedure." Statistical Papers 36, no. 1 (1995): 155–62. http://dx.doi.org/10.1007/bf02926028.

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Holly and Magnus. "A Note on Instrumental Variables and Maximum Likelihood Estimation Procedures." Annales d'Économie et de Statistique, no. 10 (1988): 121. http://dx.doi.org/10.2307/20075698.

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Jain, Ram B., Samuel P. Caudill, Richard Y. Wang, and Elizabeth Monsell. "Evaluation of Maximum Likelihood Procedures To Estimate Left Censored Observations." Analytical Chemistry 80, no. 4 (2008): 1124–32. http://dx.doi.org/10.1021/ac0711788.

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Dissertations / Theses on the topic "Maximum likelihood procedures"

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Ehlers, Rene. "Maximum likelihood estimation procedures for categorical data." Pretoria : [s.n.], 2002. http://upetd.up.ac.za/thesis/available/etd-07222005-124541.

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Hill, Terry. "Metrics and Test Procedures for Data Quality Estimation in the Aeronautical Telemetry Channel." International Foundation for Telemetering, 2015. http://hdl.handle.net/10150/596445.

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ITC/USA 2015 Conference Proceedings / The Fifty-First Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2015 / Bally's Hotel & Convention Center, Las Vegas, NV<br>There is great potential in using Best Source Selectors (BSS) to improve link availability in aeronautical telemetry applications. While the general notion that diverse data sources can be used to construct a consolidated stream of "better" data is well founded, there is no standardized means of determining the quality of the data streams being merged together. Absent this uniform quality data, th

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Ainkaran, Ponnuthurai. "Analysis of Some Linear and Nonlinear Time Series Models." Thesis, The University of Sydney, 2004. http://hdl.handle.net/2123/582.

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Abstract This thesis considers some linear and nonlinear time series models. In the linear case, the analysis of a large number of short time series generated by a first order autoregressive type model is considered. The conditional and exact maximum likelihood procedures are developed to estimate parameters. Simulation results are presented and compare the bias and the mean square errors of the parameter estimates. In Chapter 3, five important nonlinear models are considered and their time series properties are discussed. The estimating function approach for nonlinear models is developed in d

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Ainkaran, Ponnuthurai. "Analysis of Some Linear and Nonlinear Time Series Models." University of Sydney. Mathematics & statistics, 2004. http://hdl.handle.net/2123/582.

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Abstract This thesis considers some linear and nonlinear time series models. In the linear case, the analysis of a large number of short time series generated by a first order autoregressive type model is considered. The conditional and exact maximum likelihood procedures are developed to estimate parameters. Simulation results are presented and compare the bias and the mean square errors of the parameter estimates. In Chapter 3, five important nonlinear models are considered and their time series properties are discussed. The estimating function approach for nonlinear models is developed in d

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Lou, Jianying. "Diagnostics after a Signal from Control Charts in a Normal Process." Diss., Virginia Tech, 2008. http://hdl.handle.net/10919/28957.

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Control charts are fundamental SPC tools for process monitoring. When a control chart or combination of charts signals, knowing the change point, which distributional parameter changed, and/or the change size helps to identify the cause of the change, remove it from the process or adjust the process back in control correctly and immediately. In this study, we proposed using maximum likelihood (ML) estimation of the current process parameters and their ML confidence intervals after a signal to identify and estimate the changed parameters. The performance of this ML diagnostic procedure is evalu

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Leroy, Fanny. "Etude des délais de survenue des effets indésirables médicamenteux à partir des cas notifiés en pharmacovigilance : Problème de l'estimation d'une distribution en présence de données tronquées à droite." Phd thesis, Université Paris Sud - Paris XI, 2014. http://tel.archives-ouvertes.fr/tel-01011262.

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Ce travail de thèse porte sur l'estimation paramétrique du maximum de vraisemblance pour des données de survie tronquées à droite, lorsque les délais de troncature sont considérés déterministes. Il a été motivé par le problème de la modélisation des délais de survenue des effets indésirables médicamenteux à partir des bases de données de pharmacovigilance, constituées des cas notifiés. Les distributions exponentielle, de Weibull et log-logistique ont été explorées.Parfois le caractère tronqué à droite des données est ignoré et un estimateur naïf est utilisé à la place de l'estimateur pertinent

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Li, Jian. "Effects of Full Information Maximum Likelihood, Expectation Maximization, Multiple Imputation, and Similar Response Pattern Imputation on Structural Equation Modeling with Incomplete and Multivariate Nonnormal Data." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1281387395.

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Fischer, Manfred M. "Learning in neural spatial interaction models: A statistical perspective." Springer, 2002. http://epub.wu.ac.at/5503/1/neural.pdf.

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In this paper we view learning as an unconstrained non-linear minimization problem in which the objective function is defined by the negative log-likelihood function and the search space by the parameter space of an origin constrained product unit neural spatial interaction model. We consider Alopex based global search, as opposed to local search based upon backpropagation of gradient descents, each in combination with the bootstrapping pairs approach to solve the maximum likelihood learning problem. Interregional telecommunication traffic flow data from Austria are used as test bed for

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Glórias, Ludgero Miguel Carraça. "Estimating a knowledge production function and knowledge spillovers : a new two-step estimation procedure of a Spatial Autoregressive Poisson Model." Master's thesis, Instituto Superior de Economia e Gestão, 2020. http://hdl.handle.net/10400.5/20711.

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Mestrado em Econometria Aplicada e Previsão<br>Vários estudos econométricos procuram explicar os determinantes da criação de conhecimento usando como variável dependente o número de patenteamentos numa região. Alguns destes procuram captar os efeitos de Knowledge Spillovers através de modelos lineares que incorporam dependência espacial. No entanto, nenhum estudo foi encontrado que captasse este efeito, tendo em atenção a natureza discreta da variável dependente. Este trabalho pretende preencher essa lacuna propondo um novo estimador de máxima verosimilhança a dois passos para um modelo Poisso

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Festucci, Ana Claudia. "Eliminação de parâmetros perturbadores na estimação de tamanhos populacionais." Universidade Federal de São Carlos, 2010. https://repositorio.ufscar.br/handle/ufscar/4540.

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Made available in DSpace on 2016-06-02T20:06:04Z (GMT). No. of bitstreams: 1 2751.pdf: 886213 bytes, checksum: 2f07f7329a7f25f1759ddb5d7a6edd66 (MD5) Previous issue date: 2010-01-15<br>Financiadora de Estudos e Projetos<br>In this study, we used the capture-recapture procedure to estimate the size of a closed population. We analysed three di_erent statistics models. For each one of these models we determined - through several methods of eliminating nuisance parameters - the likelihood function and the pro_le, conditional, uniform integrated, Je_reys integrated and generalized integrated like

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Books on the topic "Maximum likelihood procedures"

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Holly, Alberto. A note on instrumental variables and maximum likelihood estimation procedures. London School of Economics, 1986.

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Abdel-Fattah, Abdel-Fattah A. Accuracy of item response theory parameter estimates using maximum likelihood and Bayesian procedures as implemented in LOGIST and BILOG. 1990.

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McCleary, Richard, David McDowall, and Bradley J. Bartos. Noise Modeling. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190661557.003.0003.

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Chapter 3 introduces the Box-Jenkins AutoRegressive Integrated Moving Average (ARIMA) noise modeling strategy. The strategy begins with a test of the Normality assumption using a Kolomogov-Smirnov (KS) statistic. Non-Normal time series are transformed with a Box-Cox procedure is applied. A tentative ARIMA noise model is then identified from a sample AutoCorrelation function (ACF). If the sample ACF identifies a nonstationary model, the time series is differenced. Integer orders p and q of the underlying autoregressive and moving average structures are then identified from the ACF and partial a

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George C. Marshall Space Flight Center., ed. A recommended procedure for estimating the cosmic-ray spectral parameter of a simple power law with applications to detector design. National Aeronautics and Space Administration, Marshall Space Flight Center, 2001.

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Book chapters on the topic "Maximum likelihood procedures"

1

L. Sclove, Stanley. "Determining an Adequate Number of Principal Components." In Principal Component Analysis [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.104534.

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The problem of choosing the number of PCs to retain is analyzed in the context of model selection, using so-called model selection criteria (MSCs). For a prespecified set of models, indexed by k=1,2,…,K, these model selection criteria (MSCs) take the form MSCk=nLLk+anmk, where, for model k,LLk is the maximum log likelihood, mk is the number of independent parameters, and the constant an is an=lnn for BIC and an=2 for AIC. The maximum log likelihood LLk is achieved by using the maximum likelihood estimates (MLEs) of the parameters. In Gaussian models, LLk involves the logarithm of the mean squared error (MSE). The main contribution of this chapter is to show how to best use BIC to choose the number of PCs, and to compare these results to ad hoc procedures that have been used. Findings include the following. These are stated as they apply to the eigenvalues of the correlation matrix, which are between 0 and p and have an average of 1. For considering an additional PCk + 1, with AIC, inclusion of the additional PCk + 1 is justified if the corresponding eigenvalue λk+1 is greater than exp−2/n. For BIC, the inclusion of an additional PCk + 1 is justified if λk+1>n1/n, which tends to 1 for large n. Therefore, this is in approximate agreement with the average eigenvalue rule for correlation matrices, stating that one should retain dimensions with eigenvalues larger than 1.

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TAKEUCHI, Kei, and Masafumi AKAHIRA. "SECOND ORDER ASYMPTOTIC EFFICIENCY IN TERMS OF ASYMPTOTIC VARIANCES OF THE SEQUENTIAL MAXIMUM LIKELIHOOD ESTIMATION PROCEDURES." In Joint Statistical Papers of Akahira and Takeuchi. WORLD SCIENTIFIC, 2003. http://dx.doi.org/10.1142/9789812791221_0027.

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Dragan, Dejan, Tomaž Kramberger, and Darja Topolšek. "Efficiency and Travel Agencies." In Sustainable Logistics and Strategic Transportation Planning. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-5225-0001-8.ch010.

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The chapter deals with Bayesian structural equation modeling (SEM) for the case of travel agencies. The focus of research is the investigation of possible impacts of external integration with transport suppliers on the efficiency of travel agencies. In order to calculate the efficiency, the data envelopment analysis was used. For the construction of the measurement part of the model, the confirmatory factor analysis (CFA) was conducted, while its structural part was developed by the means of SEM procedure. When conducting the CFA and SEM procedures, the Bayesian estimation method was employed. Its performance was also compared with the maximum likelihood method and the fit indices of both methods were inspected. The results show that the derived model fits well to the real data. The study confirms certain positive effects of the external integration on the efficiency. This finding could represent an important guideline for the managers of the travel agencies.

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Veech, Joseph A. "Statistical Methods for Analyzing Species–Habitat Associations." In Habitat Ecology and Analysis. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198829287.003.0009.

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Six methods for statistically identifying and quantifying meaningful species–habitat associations are discussed. These are (1) comparison among group means (e.g. ANOVA), (2) multiple linear regression, (3) multiple logistic regression, (4) classification and regression trees, (5) multivariate techniques (principal components analysis and discriminant function analysis), and (6) occupancy modeling. Each method is described in statistical detail and associated terminology is explained. The example of habitat associations of a hypothetical beetle species (from Chapter 8) is used to further explain some of the methods. Assumption, strengths, and weaknesses of each method are discussed. Related statistical constructs and procedures such as the variance–covariance matrix, negative binomial distribution, generalized linear modeling, maximum likelihood estimation, and Bayes’ theorem are also explained. Some historical context is provided for some of the methods.

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Bhattacharya, Devanjan, and Santo Banerjee. "A Comparative Study of Four Different Satellite Image Classification Techniques for Geospatial Management." In Chaos and Complexity Theory for Management. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2509-9.ch014.

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Satellite imagery interpretation has become the technology of choice for a host of developmental, scientific, and administrative management work. The huge repository of geospatial data and information that are available as satellite imageries datasets from platforms such as Google Earth need to be classified and understood for natural resources management, urban planning, and sustainable development. The classification and analysis procedures involve algorithms like maximum likelihood classifier, isodata, fuzzy-logic classifier, and artificial neural network based classifier. Amongst these classifiers the optimum has to be selected for classifications which involve multiple features and classes. Herein lies the motivation for the present research, which can facilitate the selection of one amongst the many algorithms available to a decision maker/manager. The aforementioned techniques are applied for classification, and the respective accuracies in the classes of forestry, rock, water, built-up area, and dry river bed have been tabulated and verified from ground truth. The comparison is based on time and space complexity of the algorithms considering also the accuracy. It is found that traditional methods like MLC and Isodata offer good time and space consumption performance over the recent more adaptable algorithms as fuzzy and ANN. But the latter group excels in accuracy of assessment. The study suggests points and cases for ranking the techniques as best, 2nd best, and so on, where each technique could be optimally utilised for a given geospatial dataset based on its contents.

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Akahira, Masafumi, and Kei Takeuchi. "THIRD ORDER ASYMPTOTIC EFFICIENCY OF THE SEQUENTIAL MAXIMUM LIKELIHOOD ESTIMATION PROCEDURE." In Joint Statistical Papers of Akahira and Takeuchi. WORLD SCIENTIFIC, 2003. http://dx.doi.org/10.1142/9789812791221_0030.

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Conference papers on the topic "Maximum likelihood procedures"

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Krishna, Shreya, N. K. Goyal, and Shikhar Dhar. "Software Reliability Growth Modeling: Comparison between Non-Linear- Regression Estimation and Maximum-Likelihood-Estimator Procedures." In International Powertrains, Fuels & Lubricants Meeting. SAE International, 2018. http://dx.doi.org/10.4271/2018-01-1772.

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Rana, Rakesh, Miroslaw Staron, Christian Berger, Jorgen Hansson, Martin Nilsson, and Fredrik Torner. "Comparing between Maximum Likelihood Estimator and Non-linear Regression Estimation Procedures for NHPP Software Reliability Growth Modelling." In 2013 Joint Conference of the 23nd International Workshop on Software Measurement and the 8th International Conference on Software Process and Product Measurement (IWSM-MENSURA). IEEE, 2013. http://dx.doi.org/10.1109/iwsm-mensura.2013.37.

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Infantes, María, Javier Naranjo-Pérez, Andrés Sáez, and Javier F. Jiménez-Alonso. "Determining the Best Pareto-solution in a Multi-Objective Approach for Model Updating." In IABSE Symposium, Guimarães 2019: Towards a Resilient Built Environment Risk and Asset Management. International Association for Bridge and Structural Engineering (IABSE), 2019. http://dx.doi.org/10.2749/guimaraes.2019.0523.

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<p>Using a multi-objective optimization algorithm avoid the use of weighting factors to balance the different residuals in a finite element model updating procedure under the maximum likelihood method. By using this approach, the fittest model is not unique and a set of solutions that form a curve, so-called Pareto optimal front, is obtained. Within this paper, first a review of the state of the art on the criteria used to determine the most adequate model among all the solutions of the Pareto front is presented. Subsequently, a case study of a real footbridge is considered. A finite ele

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Ji, Shi, Xiaomei Xu, Jianbo Zhang, and Zhifang Wang. "Study on Technical Improvements for Human System Interface in the Main Control Room of LingAo 3 and 4." In 18th International Conference on Nuclear Engineering. ASMEDC, 2010. http://dx.doi.org/10.1115/icone18-29011.

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This paper focuses on the technical improvements for Human System Interface (HSI) implemented to be designed to manage normal and accidental situation of the Nuclear Power Plants (NPPs) on the LING AO 3&4 nuclear plants project under construction in the South of China. Regarding the operation principles of the NPPs, two major improvements on the LAO 3&4 NPPs are introduced: Implementation of a Digital Control System (DCS) combined with a computerized Human System Interface and backed-up with a conventional control mean Back-up panel (BUP). Some technical improvements for HSIs such as S

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Feng, Zhili, and Gery Wilkowski. "Repair Welding of Irradiated Materials: Modeling of Helium Bubble Distributions for Determining Crack-Free Welding Procedures." In 10th International Conference on Nuclear Engineering. ASMEDC, 2002. http://dx.doi.org/10.1115/icone10-22660.

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In this paper, a computational simulation study is presented on the prediction of helium bubble evolution during repair welding of irradiated 304 stainless steel. Realistic spatial and temporal temperature and stress evolution during welding were obtained from simulation of the repair welding operation using the finite element model approach. The helium bubble evolution model by Kawano et al. was adopted as a user subroutine in the finite element model to predict the spatial distribution and temporal evolution of the helium bubble size and density in the heat-affected zone (HAZ) of partial pen

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Tang, Meng, Yimin Liu, and Louis J. Durlofsky. "History Matching Complex 3D Systems Using Deep-Learning-Based Surrogate Flow Modeling and CNN-PCA Geological Parameterization." In SPE Reservoir Simulation Conference. SPE, 2021. http://dx.doi.org/10.2118/203924-ms.

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Abstract The use of deep-learning-based procedures for geological parameterization and fast surrogate flow modeling may enable the application of rigorous history matching algorithms that were previously considered impractical. In this study we incorporate such methods – specifically a geological parameterization that entails principal component analysis combined with a convolutional neural network (CNN-PCA) and a flow surrogate that uses a recurrent residual-U-Net procedure – into three different history matching procedures. The history matching algorithms considered are rejection sampling (R

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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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Arau´jo, Ofe´lia Q. F., Jose´ L. de Medeiros, and Hellen P. M. Carvalho. "A Maxwell-Stefan Approach for Predicting Mixing Effects in Contiguous Batches of Multi-Product Pipelines." In 2002 4th International Pipeline Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/ipc2002-27179.

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Transient phenomena in the liquid batch interfacial zone are addressed based on: (i) a reliable compositional description; and (ii) mass transfer modeling. In phase (i), compositional models are proposed for transported fluids, with parameters estimated by maximum likelihood procedures to match known characterizing data, like distillation curve, density, viscosity and heteroatom weight fractions. In phase (ii), the transient mixing problem is posed on the continua of axial position in the duct, and described by Maxwell-Stefan formalism for multicomponent mass transfer between two contiguous se

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Huyse, Luc, and Katherine A. Brown. "Why Reliability-Based Approaches Need More Realistic Corrosion Growth Modeling." In 2012 9th International Pipeline Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/ipc2012-90319.

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Deterministic design and assessment methods are by definition conservative. Although no claim is made regarding the actual reliability level that is achieved using deterministic, i.e. safety-factor based approaches, the safety factors have been selected such that generally sufficient conservatism is maintained. Reliability-based methods aim to explicitly quantify the aggregated conservatism in terms of failure probabilities or risk. Accurate reliability estimates are not possible without accurate computational prediction models for the limit states and adequate quantification of the uncertaint

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Larbi, N., and J. Lardies. "Modal Parameters Estimation and Model Order Selection of a Structure Excited by a Random Force." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/vib-8095.

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Abstract A multivariate maximum likelihood procedure for the estimation of modal parameters is presented. The vibrating system is excited by a random force and sensors output only are used to estimate the natural frequencies and damping coefficients of the system. The method works in time domain and a vector autoregressive moving average (VARMA) process is used. The information about modal parameters is contained in the multivariate AR part, which is estimated using an iterative maximum likelihood algorithm. This algorithm uses a score technique and output data only. The order of the AR part i

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Reports on the topic "Maximum likelihood procedures"

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Anderson, T. W., and R. P. Mentz. Iterative Procedures for Exact Maximum Likelihood Estimation in the First-Order Gaussian Moving Average Model. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada230812.

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