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 1239 for “"Estimator"”.
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High-Resolution CMB Bispectrum Estimator
… prospects, we developed a novel CMB bispectrum estimator suited for the resolution and sensitivity of future surveys. We discuss our high-resolution bispectrum estimator in the second section. Our code, named CMB-BEst, utilises a set of general basis functions to accurately constrain a wide …
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The midrange estimator in symmetric distributions
Digitized by Kansas Correctional Industries
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A comparison of a supplementary sample non-parametric empirical Bayes estimator with the classical estimator in a quality control situation
… to compare the effectiveness of the classical estimator with that of a supplementary sample non-parametric empirical Bayes estimator in detecting an out-of-control situation arising in statistical quality control work. The investigation was accomplished through Monte Carlo simulation on the …
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Signal Absorption-Based Range Estimator for Undersea Swarms
… range through the Signal Absorption-Based Range Estimator (SABRE). SABRE's objective is to address techniques that support low-cost undersea swarming. This thesis's contributions include a novel method for range estimation onboard underwater vehicles that supports relative navigation through …
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A preliminary test estimator for multivariate response functions
… β̂<sub>j</sub><sup>*</sup> are the least squares estimators of β<sub>1j</sub> and β<sub>j</sub><sup>*</sup> obtained from the full multivariate regression model. The estimators for the n<sub>j</sub> are determined by a test of the hypothesis H<sub>o</sub>: J₁ ≤ J₂ where J₁ and J₂ denote the …
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Statistical analysis of adaptive maximum-likelihood signal estimator
Thesis (Elec. E.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.
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Signal absorption-based range estimator for undersea swarms
Robotic swarms are becoming increasingly complex on the surface and in air due to highspeed and reliable communication links, Global Positioning Satellites (GPS), and visual support to relative navigation. However, the limited propagation of these signals in the ocean has impacted similar advances …
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Some Improvement on Convergence Rates of Kernel Density Estimator
… the convergence rates of kernel density estimators. Firstly, a bias reduced kernel density estimator is introduced and investigated. In order to reduce bias, we intuitively subtract an estimated bias term from ordinary kernel density estimator. Theoretical properties such as bias, …
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A static state estimator for a power system network.
Massachusetts Institute of Technology. Dept. of Electrical Engineering. Thesis. 1968. M.S.
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Multiple channel maximum entropy spectral estimator and its application.
Thesis. 1977. M.S.--Massachusetts Institute of Technology. Dept. of Earth and Planetary Sciences.
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Suboptimal estimator for the spatial orientation of a pilot
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1990.
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An object-oriented distribution system distributed quasi-dynamic state estimator
… system distributed quasi-dynamic state estimator (DS-DQDSE) that constantly monitors the states of the distribution system and provides the validated data to the control center. In particular, the dissertation presents a distributed and seamless infrastructure starting from measurement …
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Some New Estimator in Linear Mixed Models with Measurement error
… are present. In this thesis, we propose two new estimators using Nakamura's approach in LMM with measurement errors to overcome multicollinearity. We consider that prior information is available on fixed and random effects. The first estimator is the new mixed ridge estimator (NMRE) and the …
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Nuclear norm penalized LAD estimator for low rank matrix recovery
… and restricted eigenvalue assumptions. The estimator is able to recover the underlying matrix with high probability with limited observations that the number of observation is more than the degree of freedom but less than a power of dimension. Our estimator has two advantages. First the …
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Optimal bandwidth selection rule for kernel regression estimator with dependent variables
… d}$).) We consider kernel estimators of m(x). Recently, convergence properties of the kernel estimator have been developed under certain dependence structures for the process (X$\sb{\rm t}$,Y$\sb{\rm t}$). One of the crucial points in applying a kernel estimator is the …
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Robust estimator design using the H[infinity] norm and [mu] synthesis
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1991.
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Influence of the Estimator Selection in Scalloped Hammerhead Shark Stock Assessment
… compare the influences of different statistical estimators on the values of the key parameters (r, growth rate; K carrying capacity; depletion, FMSY , fishing levels that would sustain maximum yield; and NMSY, abundance at maximum sustainable yield). Furthermore, we considered multi-levelpriors …
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Mechanical Properties Of The Intervertebral Disc As An Estimator Of Postmortem Interval
Currently, forensic scientists are only able to determine time since death (or postmortem interval) up to the first 60 hours. This is based largely on insect activity. Herein, it is proposed to use the degradation of the intervertebral disc (IVD) after death to determine a relationship between the …
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