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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 19 of 19 for “"Sequential estimation"”.
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Sequential estimation of quantiles and adaptive sequential estimation of location and scale parameters
Made available in DSpace on 2011-05-07T13:30:18Z (GMT). No. of bitstreams: 2 license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5) 9114359.pdf: 2918189 bytes, checksum: a86ffe3dce26cf9fb66ab0d60116692e (MD5) Previous issue date: 1990
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Invariance Theory and Sequential Estimation
Made available in DSpace on 2014-12-09T22:17:48Z (GMT). No. of bitstreams: 1 6901461.pdf: 1986298 bytes, checksum: 23c1292df5f17e1b7ce0d6c69632e8eb (MD5) Previous issue date: 1968
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Sequential Estimation of a Binomial Parameter
Made available in DSpace on 2014-12-05T22:27:22Z (GMT). No. of bitstreams: 1 6004014.pdf: 971377 bytes, checksum: ce61fa0363f83b0df094679db7da6fce (MD5) Previous issue date: 1960
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Semianalytical satellite theory and sequential estimation
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1982.
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Some sequential estimation problems in logistic regression models
… accuracy and confidence level. In this work, a sequential procedure is proposed to overcome this difficulty. The procedure is shown to be asymptotically consistent and efficient. That is to say, as d approaches 0 the coverage probability converges to the required confidence level and the ratio …
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Limit Theorems for Processes and Stopping Rules in Adaptive Sequential Estimation
This thesis deals with the asymptotic behavior of stopping rules ${\rm T\sb{A}}$ and ${\rm T\sb{d}}$ proposed by Martinsek (Ann. Statist., 12 (1984):533-550). The asymptotic normality of these stopping rules, when A tends to infinity and d tends to zero respectively, is proved. In the course of …
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Sequential estimation of optimal age replacement policies when distribution of lifetimes is phase type.
… distribution must be estimated. An optimal age sequential estimation procedure is developed. In particular, the phase type distributions parameters are estimated using a matching moments nonlinear programming approach. Since there are many parameters associated with phase type distributions and …
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Geosynchronous satellite maneuver detection and orbit recovery using ground based optical tracking
… Graphics Inc. Orbit Determination Tool Kit sequential estimation software, a sequential estimation filter was "tuned" and validated in various ways. Then, a parametric study of maneuver size and time required to detect a maneuver was done via simulation. Simulated maneuvers ranging from Av's …
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On stochastic approximation
… of response. A stochastic approximation is a sequential estimation procedure where future observation points are determined on the basis of past information. The two most-discussed procedures for the problem described are the Robbins-Monro (R-M) procedure and the up-and-down method of Dixon …
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Resilient Navigation through Jamming Detection and Measurement Error Modeling
… and augment GPS for a more resilient PNT. Time-sequential estimation improves navigation accuracy and allows for the augmentation of GNSS with other difficult-to-interfere sensors. Safety-critical navigation applications (e.g., GNSS/INS-based aircraft localization) that use time-sequential …
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Global barotropic variability of the ocean in response to atmospheric forcing based on multichannel regression and Kalman filter techniques
… a Kalman filter and optimal smoother. We use sequential estimation in the form of filteringsmoothing algorithm. We run the estimate for an area of 4000 km by 2000 km in the Northeast Pacific. We analyze model and data error structures by simulating the model without data assimilation. The …
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The Design and Modeling of Ultra-Wideband Position-Location Networks
… especially indoors. Location information is sequentially propagated through a network of reference nodes in order to create a framework for the tracking of mobile nodes, as well as a multi-hop message-passing infrastructure between mobile nodes and control nodes located outside the area of …
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Tactile tomographic imaging using robotic whiskers
… dynamic tomographic fluid-flow imaging for the sequential estimation of the fluid-flow characteristics in a dynamically changing environment. The experimental results strongly demonstrate that this new tactile sensing technology developed in this dissertation may find a potential future use in …
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W-SPSA : an Efficient Stochastic Approximation Algorithm for the off-line calibration of Dynamic Traffic Assignment models
… traditional approaches focus on the separate or sequential estimation of demand and supply in a DTA system, a recently proposed framework calibrates the demand and supply models simultaneously by formulating the off-line calibration as a constrained optimization problem. Simultaneous Perturbation …
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Assuring robustness of radio spectrum telemetry against vandalism and exploitation
… deter attacks using a combination of statistical sequential estimation and classification techniques. The proposed techniques are evaluated using a novel methodology that relies in part on predicted propagation data derived from real-world registered TV transmitter and terrain data (from the …
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Sequential nonparametric estimation via Hermite series estimators
… In this thesis we introduce novel approaches to sequential (online) estimation in both stationary and non-stationary settings based on Hermite series density estimators. In the univariate context we apply Hermite series based distribution function estimators to sequential cumulative distribution …
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Inverse methods to estimate anthocyanin degradation kinetic parameters in cherry pomace during non-isothermal heating
… (wb), respectively. Ordinary least squares and sequential estimation methods were used to estimate the thermal and kinetic parameters. Thermal conductivity (W m-1 K-1) was estimated as a linear function of temperature at 25¡ÆC (k1) and 125¡ÆC (k2). The estimated k1 and k2 values and standard …
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Semi-Parametric Likelihood Functions for Bivariate Survival Data
<p>Because of the numerous applications, characterization of multivariate survival distributions is still a growing area of research. The aim of this thesis is to investigate a joint probability distribution that can be derived for modeling nonnegative related random variables. We restrict the …
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Essays on structural changes in high dimensional econometric models
… second essay tackles the identification and estimation of a high dimensional factor model with unknown number of latent factors and a single common break in the number of factors and/or factor loadings. Since the factors are unobservable, the change point estimator is based on the second …