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 3183 for “"regression analysis"”.
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Simultaneous confidence bands in linear regression analysis
… on the plausible range of an<br/>unknown regression model. For a simple linear regression model, the most frequently<br/>quoted bands in the statistical literature include the two-segment band, the three-segment<br/>band and the hyperbolic band, and for a multiple linear regression model, …
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Essays on data transformation and regression analysis
Na presente tese de doutorado, apresentamos estimadores dos parâmetros que indexam as transformações de Manly e Box-Cox, usadas para transformar a variável resposta do modelo de regressão linear, e também testes de hipóteses. A tese é composta por quatro capítulos. No Capítulo 2, desenvolvemos dois …
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Quality assurance in high schools through regression analysis
… (Pis). A definition of effectiveness in terms of regression lines is described and the concept of added value or adjusted achievement developed. This study is concerned with the development of Pis for use within a single school to monitor and promote improvement. The context of the study (a model …
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Regression analysis of oncology drug licensing deal values
… variations in drug licensing deal value by using regression modeling to describe and predict the relationship between oncology drug deal characteristics and their licensing deal values. Although the reasons for large variances in value between deals may not be immediately apparent, it was …
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Regression Analysis of Censored Data with Applications in Perimetry
This thesis treats regression analysis when either the dependent or the independent variable is censored. We deal with quantile regression when the dependent variable is censored. Using the independence between the true values and the censoring limits the quantile function for the true values can …
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Permeability prediction from well log data using multiple regression analysis
… to predict permeability through the statistical analysis multiple regression having log data and limited core data, making it possible to expand the prediction to uncored wells. It also takes into consideration the attributes of flow unit analysis of the field, as a means to ascertain better …
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A Theoretical and Multiple Regression Analysis of Parole Prediction Variables
Made available in DSpace on 2014-12-09T20:15:09Z (GMT). No. of bitstreams: 1 6706593.pdf: 5099389 bytes, checksum: b9e0aac74332b7bf727a33435536e82b (MD5) Previous issue date: 1966
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Determination of streamflow characteristics for ungaged Texas streams using regression analysis
… Texas streams are developed using multiple regression analysis to relate streamflow characteristics to basin parameters at 63 gaged streams. Gamma, LPIII (Log-Pearson type III), and mixed-LPIII distributions are used to predict the 7Q2's and 7Q10's. Basin parameters used in the analysis …
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Three essays on nonlinear panel data models and quantile regression analysis
… studies the interpretation of quantile regression estimators when the linear model for the underlying conditional quantile function is possibly misspecified.
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Dyadic Spatial Relationships in Pigtail and Stumptail Macaques: A Multiple Regression Analysis
Made available in DSpace on 2014-12-14T16:11:21Z (GMT). No. of bitstreams: 1 8009205.pdf: 7440150 bytes, checksum: 03e24982756c3cffbd313a1d804cf344 (MD5) Previous issue date: 1979
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Regression Analysis of Dissolved Heavy Metals in Storm Water Runoff from Elevated Roadways
… concentrations based on field measurements. Data analysis proceeded by applying different variable selection statistical methods as well as multiple regression analyses in order to evaluate the simultaneous effects of all variables on the concentration of dissolved heavy metals in storm water …
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Model-Free Variable Screening, Sparse Regression Analysis and Other Applications with Optimal Transformations
… selection methods for high dimensional data analysis. In particular, we will present two relevant methods for variable screening and selection under a unified framework based on optimal transformations.</p> <p>In the first part of the thesis, we develop a maximum correlation-based sure …
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Exploring autism prediction through logistic regression analysis with corrections for rare events data
… statistical correction to the standard logistic regression model will be applied to yield adjusted predictions that take into account the prevalence of autism cases both in the sample data and in the population of interest.
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Form Based Codes and Economic Impacts: A Multivariate Regression Analysis and Case Study
… and public finance a series of two multivariate regression analyses were conducted using historic property and sales tax data. The first regression analysis was performed using the full list of 122 cities which have adopted form based standards from between 1984 and 2009. In an attempt to limit …
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Regression Analysis of Fracture Toughness for Secondary Osteons Located in Human Cortical Bone
… results on fracture toughness so that an analysis could be run on the data in order to determine the factors that most affect the value of fracture toughness of this cortical bone. Results were examined closely and the analysis repeated until the author was satisfied that the best possible …
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The impact of certain variables on common stock price formation : a regression analysis
Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management, 1985.
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A Logistic Regression Analysis of Utah Colleges Exit Poll Response Rates Using SAS Software
… an overall response rate of 65 percent. Logistic regression is used to estimate factors that contribute to a success or failure of each interview attempt. This logistic regression model uses interviewer characteristics, voter characteristics (both respondents and nonrespondents), and exogenous …
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An exploration of the robustness of traditional regression analysis versus analysis using backpropagation networks
… on the spectrum by exploring the robustness of regression analysis and backpropagation networks in conducting data analysis. Robustness is viewed as the degree to which a technique is insensitive to abnormalities in data sets, such as violations of assumptions. The central focus of regression …
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Market value estimation models for marine surface vessels with the use of multiple regression analysis.
… the Coast Guard in search and rescue incidents, regression analysis was conducted on various characteristics of vessels in order to estimate their fair market values. Data for this research were collected from the U.S. Maritime Administration, the U.S. Coast Guard, and numerous oil and steel …
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