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 128 for “"Regression Method"”.
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On finding confidence intervals for the inverse regression method of linear calibration
… one estimates the independent variable x in a regression situation for a measured value of the dependent variable y. The Classical estimator is obtained by expressing the linear model as y<sub>i</sub> = α + βx<sub>i</sub> + ε<sub>i</sub>, obtaining the least squares estimator for y for a given …
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Functional Regression and Adaptive Control
The author proposes a novel functional regression method for parameter estimation and adaptive control in this dissertation. In the functional regression method, the regressors and a signal which contains the information of the unknown parameters are either determined from raw measurements or …
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Three Essays on Macroeconomic and Econometric Analysis of Business Cycle
The third paper explores a methodology applicable to generating a regional economic activity index. There have been some attempts to develop a comprehensive index using either the coincident composite index model or the dynamic factor model. This paper suggests a modified principal components …
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Conditional Quantile Estimation With Ordinal Data
… and a set of covariates and propose a new regression method for estimating the conditional quantiles of the ordinal response variable. By assuming a continuous latent variable underlying the observed ordinal response variable and utilizing the equivalence property of quantile regression we …
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Fuzzy random regression to improve coefficient estimation for Malaysian Agricultural Industry
… Hence, this study proposes a fuzzy random regression method to estimate the coefficient values for which statistical data contains simultaneous fuzzy random information. A numerical example illustrates the proposed solution approach whereby coefficient values are successfully deduce from …
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The Effects of Avian Influenza Outbreak on U.S. Poultry Prices
… the poultry Consumer Price Index (CPI). The method used to predict prices was the multiple regression method and Stepwise regression method. The poultry CPI estimate was then compared to the government forecasted poultry CPI in 2006.
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Application of artificial neural networks in breast and colorectal surgery
… neural networks (ANNs) are a nonlinear regression method capable of accurately predicting outcome in an individual patient. We identified two scenarios where accurate prediction in individual patient can greatly influence their management.In the first study, we investigated the ability …
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On Logistic Regression Approach to Survival Data and Power Divergence Statistics for Life Tables
… (1988) proposes the use of standard logistic regression techniques to estimate hazard rates and survival curves from survival data. These techniques allow statisticians to use parametric regression modeling on survival data in a flexible way that provides both estimates and standard errors. In …
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Operations and maintenance cost for new major U.S. Coast Guard platforms: projected versus actual costs.
… endurance cutter and the 110 foot patrol boat. A regression method of estimating these costs using historical costs was explored as an alternative to the laborious task of identifying each major cost element. The results indicated that the budget models are poor predictors and that parametric …
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High-dimensional classification and attribute-based forecasting
… than the sample size. The penalized logistic regression method is known for simultaneous variable selection and classification. However, the performance of this method declines as the number of variables increases. With this concern, in the first study, we propose a new classification approach …
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Regression Methods for Categorical Dependent Variables: Effects on a Model of Student College Choice
… dependent variables with the classical linear regression model (CLRM) violates many of the model's assumptions and may result in biased estimates (Long, 1997; O'Connell, Goldstein, Rogers, & Peng, 2008). Many dependent variables of interest to educational researchers (e.g., professorial rank, …
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Effective methods for manipulating and rendering skinned meshes
Mesh skinning has been a widely applied method in games for skeleton driven character animation. A gaming character can be easily animated and deformed by transforming every vertex using a weighted sum of proxy bone transformations in the skeleton. Arbitrary deformations such as facial and cloth …
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Variable screening and model selection in censored quantile regression via sparse penalties and stepwise refinement
Many variable selection methods are available for linear regression but very little has been developed for quantile regression, especially for the censored problems. This study will look at the possibilities of utilizing some existing penalty variable selection methods on censored quantile …
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Data-driven decision making in online and offline retail/
… customer. We introduce a joint clustering and regression method that jointly clusters existing products based on their features as well as their sales patterns while estimating their demand. Further, we use this information to predict demand for new products. Analytically, we show an …
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Robust mixture regression using mean-shift penalisation
The purpose of finite mixture regression (FMR) is to model the relationship between a response and feature variables in the presence of latent groups in the population. The different regression structures are quantified by the unique parameters of each latent group. The Gaussian mixture regression …
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CROSS VALIDATION METHOD ON WEIGHTED ISOTONIC REGRESSION FOR NONPARAMETRIC REGRESSION FITTING
This thesis discusses the local polynomial regression and the isotonic regression method to solve the nonparametric regression problem subject to the non-decreasing condition. To solve the continuous isotonic regression problem, Pool Adjacent Violators Algorithm (PAVA) is used by updating the local …
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The Impact of Gender on Domestic Human Rights Abuse
… For the purpose of analysis the Prais-Winsten Regression method with Panel Corrected Standard Errors was used. The women in power variable is hypothesized to be significantly, positively correlated with a state's propensity toward respect for human rights and is operationalized as percentage of …
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Bayesian smoothing spline models and their application in estimating yield curves
… time. The smoothing spline as a nonparametric regression method has been used widely for fitting a smooth curve due to its flexibility and smoothing properties. In this dissertation, a class of Bayesian smoothing spline models is developed for the yield curve estimation under different …
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Analysis of the Repeated Measurement Data using the Hierarchical Clustering and Nonlinear Regression Methods in Asthma Pharmacogenetic Study
OBJECTIVE: We examined several analytic methods for predicting therapeutic response to drug in Korea asthmatics and tried to develop a clinical model to predict the drug response to asthma drug. BACKGROUND: Long acting β2-agonists (LABA) is the most powerful bronchodilator and inhaled …
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