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Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 83 for “"Estimation problems"”.
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Some Sampling Designs and Estimation Problems
… Cordy (1993), we consider design-based variance estimation for probability sampling from a continuous and spatially distributed universe. Using this theory in chapter two, the sampling design of one random point from each cell of a translated grid is investigated and the problem of edge effects …
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Estimation problems connected with stochastic processes
… of the standard methods for cross-spectral estimation, based on discrete time history data, are incorporated in Chapter 1. Co-spectral and quadrature-spectral estimators which are characterized by non-negative spectral windows are developed in Chapter 2. While the spectral windows for the …
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Some Identification and Estimation Problems in Econometrics
Made available in DSpace on 2014-12-14T06:06:02Z (GMT). No. of bitstreams: 1 7803947.pdf: 4872996 bytes, checksum: a53c8de3471460bb0f589522a15e4065 (MD5) Previous issue date: 1977
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Estimation problems in speech and natural language
This dissertation is a study of two problems on estimation in the areas of natural language and speech. In the first problem we revisit the classical problem of estimating the size of unseen elements which we study in the context of a regime that is characterized by a large number of rare events, …
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Some sequential estimation problems in logistic regression models
… properties for fixed proportional accuracy problems and for two stage procedures have also been obtained.
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Matrix algorithms for bilinear estimation problems in chemometrics
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 1985
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Statistical estimation problems in phylogenomics and applications in microbial ecology
… genes. Under one common model, species tree estimation is provably statistically consistent by several different methods, but those proofs rely on two separate and potentially shaky assumptions: that every species appears in the data for every gene (i.e., there is no missing data), and that …
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A robust optimization approach to statistical estimation problems by Apostolos G. Fertis.
… robustness and regularization in statistical estimation, for example, in lasso and support vector machines. In the first part of the thesis, we formalize these connections using robust optimization. Specifically (a) We show that in classical regression, regularized estimators like lasso can be …
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Multiscale stochastic realization and model identification with applications to large-scale estimation problems
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.
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Some influences upon revisions of judgment.
… research, and algorithmic decompositions of estimation problems. JAS researchers acknowledge the differentiated social roles of advisor(s) and decision-makers; and seek to isolate the influence of advice from advisor(s), upon the deliberations of decision-makers or judges. JAS research …
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Weak Calibration and Image-Based Rendering Algorithms
… Leedan's and Meer's technique for bilinear estimation problems.
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A sequential approach of solving second order AC-DC load flow and state estimation problem
Load flow and state estimation problems are solved for an economic and efficient operation, and an effective and stable control of the power system. Several methods are available to solve these problems, yet new ones are developed with a view to enhance the computational efficiency and convergence …
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How Eighth-Grade Students Estimate with Fractions
… are in student solutions to computational estimation problems involving fractions. Past computational estimation research has focused on strategies used for estimating with whole numbers and decimals while neglecting those used for fractions. An extensive literature review revealed one …
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ΑΛΓΟΡΙΘΜΟΙ ΔΙΑΜΕΛΙΣΜΟΥ ΓΡΑΜΜΙΚΗΣ ΕΚΤΙΜΗΣΗΣ-ΣΥΓΚΡΙΤΙΚΗ ΥΠΟΛΟΓΙΣΤΙΚΗ ΑΝΑΛΥΣΗ
THIS THESIS IS DEALING WITH LINEAR ESTIMATION PARTITIONING ALGORITHMS, FOR DISCRETE TIME SYSTEMS. FOUR NEW RECURSIVE PER- SAMPLE PARTITIONING ESTIMATION ALGORITHMS ARE INITIALY PRESENTED, AND THE RELATED MERITS, WITH RESPECT TO THEIR COMPUTATIONAL REQUIREMENTS ARE EXAMINED AGAINST THREE OTHER …
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State Estimation with Unconventional and Networked Measurements
… consists of two main parts. One is about state estimation with two types of unconventional measurements and the other is about two types of network-induced state estimation problems. The two types of unconventional measurements considered are noise-free measurements and set measurements. State …
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Topics In Differentially Private Statistical Inference
… privacy and statistical accuracy in parameter estimation problems. We understand the privacy-accuracy trade-off by finding the best achievable accuracy of any differentially private algorithm, also known as the "privacy-constrained minimax risk", in a series of statistical problems: Gaussian …
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Advanced spatial information processes: modeling and application
… is based on a recursive algorithm for optimal estimation of the state of a two-dimensional discrete Markov Random Field (MRF). The implementation of the recursive algorithm is a form of dynamic programming. The second framework is based on a stochastic relaxation algorithm and Markov-Gibbs …
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Shape Estimation Using Graph Cut
… (2D) images. In this dissertation, various shape estimation problems are formulated as global optimization problems which are solved using graph cut. Particularly, an approach called graph cuts based active contours (GCBAC) is proposed, and its applications to 2D object segmentation and …
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