Index Catalog // ScholarsArchive@OSU

The design and performance of a wideband electronic correlator

Creator:: Spencer, Gary Edward
Abstract:: In communications it is often desirable to recover a signal hidden in noise. The techniques of correlation are often employed for this purpose. Initially, the basic formula and properties of correlation including an approximating formula are presented. Then the description, design, and construction of a DC to 500 KHz electronic...
Resource Type:: Masters Thesis
Full Text:: experimental results are compared with the theory. Sample averaging is implemented by a simple modi- fication

Empirical studies on the estimation of variances in linear regression models

Creator:: Reinmuth, James Elroy
Abstract:: An iterative approach is suggested for the estimation of the error covariance matrix [sigma] to find approximate BLUE estimators in linear regression models. It is shown through experimental studies how the variances can be estimated in the simple general linear regression model, in the linear regression model sequenced over time,...
Resource Type:: Dissertation
Full Text:: characteristics of the design matrix X and the error vector 6 as well as certain statistical considerations. In

Proposed implementation of a near-far resistant multiuser detector without matrix inversion using Delta-Sigma modulation

Creator:: Myers, Timothy F.
Abstract:: A new algorithm is proposed which provides a sub-optimum near-far resistant pattern for correlation with a known signal in a spread-spectrum multiple access environment with additive white gaussian noise (AWGN). Only the patterns and respective delays of the K-1 interfering users are required. The technique does not require the inversion...
Resource Type:: Masters Thesis
Full Text:: . INTRODUCTION 1 Definition of Terms 4 Correlation Receiver Theory 5 Review of Asymptotic Efficiency 6

A Bayesian Treatise on the Replication Crisis in Science

Creator:: Gibson, True E.
Abstract:: Over the past decade, it has come to light that many published scientific findings cannot be reproduced. This has led to the replication crisis in science. Many researchers feel that they can no longer trust much of what they read in scientific journals, and the public is becoming ever more...
Resource Type:: Honors College Thesis
Full Text:: & Pearson (1928) proposed their theory of statistical inference, they were primarily seeking to improve on

Canonical states in quantum statistical mechanics

Creator:: Kvarda, Robert Edward
Abstract:: This report presents a characterization of the quantum mechanical analog of the Gibbs canonical density. The approach is based on a method developed by D.S. Carter for the case of classical statistical mechanics, which considers composite mechanical systems composed of mechanically and statistically independent components. After a brief introductory chapter,...
Resource Type:: Dissertation
Full Text:: necessary, as part of the theory of statistical mechanics, to pick out appropriate probability measures

Bayesian inference for the Weibull distribution

Creator:: Bogdanoff, David Allen
Abstract:: Bayesian inferential methods for the two parameter Weibull (and extreme-value distribution) are presented in a life-testing context. A practical method of calculating posterior distributions of the two parameters and a large class of functions of the parameters is presented. The emphasis is for the situation where the sample information is...
Resource Type:: Dissertation
Full Text:: 24 Frequentist Properties of the Fiducial Method 27 Applications of the Theory of Invariantly

Bayes-Fiducial inference from censored normal data

Creator:: Wille, Jerald Robert
Resource Type:: Dissertation
Full Text:: Statement of the Problem 1 Methods of Estimation 3 II. UNDERLYING THEORY AND CHOICE OF PRIOR DISTRIBUTION

Density estimation using orthogonal series : a Bayesian approach

Creator:: Pointer, Patrick C.
Resource Type:: Dissertation
Full Text:: Prior Distribution and the Notion of Smoothness 66 6. An Example 82 IV. ASYMPTOTIC THEORY 97 1

Nonparametric estimation of univariate and mixing densities : a Bayesian Least Squares approach

Creator:: Shih, John I.
Resource Type:: Dissertation

Optimal inference with local expressions

Creator:: Borujerdi, Mohammad
Abstract:: Probabilistic inference using Bayesian networks is now a well-established approach for reasoning under uncertainty. Among many e ciency-driven tech- niques which have been developed, the Optimal Factoring Problem (OFP) is distinguished for presenting a combinatorial optimization point of view on the problem. The contribution of this thesis is to extend...
Resource Type:: Dissertation
Full Text:: Bayesian networks as a combinatorial optimization problem. Parallel to value sets algebra theory local

ScholarsArchive@OSU

The design and performance of a wideband electronic correlator

Empirical studies on the estimation of variances in linear regression models

Proposed implementation of a near-far resistant multiuser detector without matrix inversion using Delta-Sigma modulation

A Bayesian Treatise on the Replication Crisis in Science

Canonical states in quantum statistical mechanics

Bayesian inference for the Weibull distribution

Bayes-Fiducial inference from censored normal data

Density estimation using orthogonal series : a Bayesian approach

Nonparametric estimation of univariate and mixing densities : a Bayesian Least Squares approach

Optimal inference with local expressions

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