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 822 for “"Bivariate"”.
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Assessment of bivariate normality
… which are most commonly used to assess the bivariate normality of paired data, two of which are also used to assess the multivariate normality. Nevertheless, none of the methods is very efficient or conclusive in their assessment of bivariate normality. In this thesis we are proposing a new …
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Algorithms for Bivariate Singularity Analysis
An algorithm for bivariate singularity analysis is developed. For a wide class of bivariate, rational functions F = P/Q, this algorithm produces rigorous numerics for the asymptotic analysis of the Taylor coefficients of F at the origin. The paper begins with a self-contained treatment of …
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Modeling with bivariate geometric distributions
… estimators were compared in each of the several bivariate geometric models using the estimated bias vectors and the estimated variance-covariance matrices. This comparison was done through a Monte-Carlo simulation for increasing sample sizes. The Chi-square goodness-of-fit tests were used to …
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A class of bivariate copula mappings /
… we analyze one particular mapping in the set of bivariate copulas, which allows flexible construction of new copulas and families of copulas. In particular, we suggest mapping which depends on a univariate function. We provide necessary and sufficient conditions on this univariate function so …
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Hedonic rating using human bivariate conceptualization
Bivariate conceptualization, a new human conceptualization process, was recently proposed. Research about bivariate conceptualization has shown the bivariate relationship and the coexistence of positivity and negativity in the measurement of human attitudes and emotions. However, many scales for …
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Pricing with Bivariate Unspanned Stochastic Volatility Models
… to as the unspanned volatility factor(s). Bivariate USV models are the simplest case, comprising of one state variable controlling the term structure and the other controlling unspanned volatility. This dissertation focuses on pricing with two particular bivariate USV models: the Log-Affine …
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Implementation of Bivariate Unspanned Stochastic Volatility Models
… challenges of implementing the simplest case – bivariate unspanned stochastic volatility models, where there is one state variable controlling the term structure, and one scaling the volatility. Specifically, we consider the Log-Affine Double Quadratic (1,1) model of Backwell (2017). In the …
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A Simulation Analysis of Bivariate Availability Models
… referred to 3 years old with 30,000 miles. Bivariate failure modeling provides a framework for studying system behavior as a function of two variables. This is meaningful when studying the reliability/availability of systems and equipment. This thesis extends work done in the area of …
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Bivariate Doubly Inflated Poisson and Related Regression Models
… studies, the data consists of dependent bivariate counts. An appropriate model for such data is the bivariate Poisson distribution given in Kocherlakota and Kocherlakota (2001). However, in situations where inflated count of (0, 0) occur, Lee et al. (2009) proposed the zero-inflated …
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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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The analysis of some bivariate astronomical time series
In the first part of the thesis, a linear time domain transfer function is fitted to satellite observations of a variable galaxy, NGC5548. The transfer functions relate an input series (ultraviolet continuum flux) to an output series (emission line flux). The methodology for fitting transfer …
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Optimal designs for a bivariate logistic regression model
… efficacy and toxicity. These can be modeled as a bivariate quantal response using the Gumbel model for bivariate logistic regression. D-optimal and Q-optimal experimental designs are developed for this model The Q-optimal design minimizes the average asymptotic prediction variance of p(l,O;d), the …
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Bivariate Log Location-Scale Model For Interval-Censored Data
… In this thesis, I consider a selected bivariate model concerning censored data. I rst review three basic univariate models, leading to corresponding bivariate models, in more complicated forms. Also I will discuss the properties of an actual, selected bi- variate model with …
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Rank correlation in a singly truncated bivariate normal distribution
… when the parent distribution is the bivariate normal. This study is an investigation of the moments and related properties of Spearman's r<sub>S</sub> and Kendall's r<sub>K</sub> when the underlying distribution is the singly truncated bivariate normal.
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Design optimization for the two-stage bivariate pattern recognition scheme
… two correlated variables, which are known as bivariate quality control (BQC). Generally, the traditional SPC charting schemes were known to be effective in monitoring aspects, but there were unable to provide information towards diagnosis. In order to overcome this issue, many researches …
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Parametric modeling of dependence of bivariate quantile regression residuals' signs
In this thesis, we propose a non-parametric method to study the dependence of the quantiles of a multivariate response conditional on a set of covariates. We define a statistic that measures the conditional probability of concordance of the signs of the residuals of the conditional quantiles of …
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Parameter estimation of a bivariate diffusion process : the Heston model
The main objective of the research is to estimate the parameters on the Heston (1993) model, which models the movement of asset prices assuming that the asset price volatility is stochastic. The paper concentrates on estimating these parameters by approximating the transitional probabilities of the …
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A Bivariate Renewal Process and Its Applications in Maintenance Policies
… is the motivation for this research to pursue a bivariate approach in reliability and maintenance modeling. This research presents a framework for bivariate modeling of a single-unit system. Five key efforts are identified and organized as: (i) bivariate failure modeling, (ii) bivariate renewal …
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Intergration of control chart and pattern recognizer for bivariate quality control
Monitoring and diagnosis of mean shifts in manufacturing processes become more challenging when involving two or more correlated variables. Unfortunately, most of the existing multivariate statistical process control schemes are only effective in rapid detection but suffer high false alarm. This is …
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