Global ETD Search
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 55 for “"least squares estimation"”.
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Methods of non-linear least squares estimation
… of the published techniques for determining the least squares estimates of the parameters in non-linear statistical models. It is first briefly indicated why non-linear models require iterative numerical estimating procedures, unlike the straightforward algebraic estimation possibly in the linear …
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Least squares estimation for latent variables with dichotomous item response data
… this study. A brief review of existing parameter estimation methods suggested the utility of a parameter estimation method which requires no specific assumption. By re-examining the performance of maximizing the ln $L$ of the joint maximum likelihood estimation (JMLE; Lord, 1980), and by applying …
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A survey of generalized least squares estimation and its relation to communication system design
Digitized by Kansas Correctional Industries
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A geometric approach to determination of satellite ephemeris over a limited area
… that simulate and format the input, data for the least squares estimation routines, and perform statistical analyses of those results. Random error, tropospheric refraction errors, and atomic clock errors have been considered, and the range observation adjustment program directed to solve for …
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RESOURCE USE RATES: ESTIMATION OF TIME INVARIANT DECISION RULES (EROSION)
… feedback from decisions to states. Three Stage Least Squares estimation is re-interpreted to fit the requirements of rational expectations. The estimated coefficients suggest that soil conservation policy must consider general economic variables as well as traditional variables such as soil …
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Offroad autonomous vehicle development and model-based adaptive robust control strategy
… The identified model was validated against a Least Squares Estimation (LSE) baseline and actual vehicle responses under multi-input conditions. A Linear Quadratic Regulator (LQR) was then designed using the identified model for vehicle control. Second, to handle slope variations in off-road …
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Modeling of short-distance running
… races, we then apply a high quality linear least squares estimation based on the Singular Value Decomposition (SVD) in order to estimate the two physiological parameters. Finally, we apply this computational model to real world data, first on a 1987 World Track record, and more extensively, …
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Adaptive Control of Micro Air Vehicles
… control algorithms like those that employ least squares estimation may take too much code space, memory, and/or computing power. In this thesis we develop several Lyapunov-based model reference adaptive control (MRAC) schemes that are both simple and efficient with the MAV autopilot …
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Comparison of ridge and other shrinkage estimation techniques
Shrinkage estimation is an increasingly popular class of biased parameter estimation techniques, vital when the columns of the matrix of independent variables X exhibit dependencies or near dependencies. These dependencies often lead to serious problems in least squares estimation: inflated …
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Signal reconstruction in distributed sampling systems with application to time-interleaved A/D converters
… blind calibration techniques that focus on the estimation of the associated unknown gain and timing offset parameters, from which the calibrated signal is reconstructed. Estimation algorithms are considered for both deterministic and random input signal models. For deterministic signals, a …
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Robust range-based localization and motion planning under uncertainty using ultra-wideband radio
… using a Monte Carlo method for hidden bias estimation. For the latter, we overcome current limitations of scalable belief space planning by adapting the Probabilistic Roadmap algorithm to enable trajectory search in belief space for minimal uncertainty paths. We contribute a novel solution …
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Vision Based Localization of Drones in a GPS Denied Environment
… do this by solving the localization problem with least squares estimation and thus acquire the location of the follower drone's in the leader drone's frame of reference. We present the results with the stereo camera system followed by simulations run in AirSim to verify the precision of our …
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The application of self-tuning control to rolling mill systems.
… self-tuning controller using simple least squares estimation can be used to control the position loop of the AGC system. There appears no good reason why this procedure could not be applied to other rolling mill control loops.
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A Comparison Of Ordinary Least Squares, Weighted Least Squares, And Other Procedures When Testing For The Equality Of Regression
… equality of regression slopes based on ordinary least squares (OLS) estimation, extant research has shown that the standard F performs poorly when the critical assumption of homoscedasticity is violated, resulting in increased Type I error rates and reduced statistical power (Box, 1954; DeShon & …
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Applied System Identification for a Four Wheel Reaction Wheel Platform
… The system identification algorithm using a least squares estimation scheme was tested on this simulator and compared to theoretical analysis. The resultant principle inertia about the z-axis from the experimental analysis was 3.5 percent off the theoretical, while the other inertias had an …
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Internal stock market returns and systematic risk factors. An empirical investigation into the APT using macroeconomic factors and multivariate estimation
… purely domestic factors. Starting with ordinary least squares estimation the thesis investigates the responses of investors in their national stock markets to systematic shocks. By employing iterative non-linear multivariate seemingly unrelated regression estimation, this work avoids the …
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Acoustic Modeling and Feature Selection for Speech Recognition
… to previous formant trackers depending on least squares estimation of LPC coefficients, MUSIC (Multiple Signal Classification) and ESPRIT (Estimation of Signal Parameters via Rotational Invariance Techniques) are used to improve the accuracy of formant estimation. Furthermore, a mixture of …
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Localization for teams of autonomous ground vehicles
… 29 cm. A second EKF using calibrated ranges and least squares estimation (LSE) for state measurement was implemented and resulted in a final pose error of 26 cm. A third Kalman filter, using an experimental extension of a mesh relaxation technique for position estimate, was tested but found not …
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Ultra-Wideband Error Modeling for Improved Localization
… error by approximately 35% when using least squares estimation, and by approximately 56% when smoothing the trajectory with a Kalman Filter.
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Estimation and correction of geometric distortions in side-scan sonar images
… then recursively estimated through deterministic least-squares estimation. An alternative approach based on adaptive Kalman filtering is also proposed, providing a natural framework in which a priori information about the array dynamics may be easily incorporated. The estimates of the parameters …
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