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 624 for “"Linear model"”.
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Gain Conditioning for Linear Model Predictive Control
Linear model predictive control (MPC) is used in a wide variety of process industries. Linear MPCs calculate adjustments in multiple manipulated variables (MVs) to ensure that operating constraints are obeyed and that controlled variables (CVs) are maintained near their setpoints. Industrial …
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Semiparametric Methods for the Generalized Linear Model
The generalized linear model (GLM) is a popular model in many research areas. In the GLM, each outcome of the dependent variable is assumed to be generated from a particular distribution function in the exponential family. The mean of the distribution depends on the independent variables. The link …
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Non-linear model predictive control for autonomous vehicles
… processors and better optimization algorithms, Model Predictive Control (MPC) systems are more readily used for real-time applications. This research focuses on the application of MPC to trajectory generation of autonomous vehicles in an online manner. The operating environment is assumed to be …
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A Partly Linear Model for Censored Regression Quantiles
Partly linear models are useful as an extension to linear regression when the response cannot be easily parameterized in terms of all covariates. Their flexibility in keeping some linear terms, while at the same time introducing a nonparametric relationship makes them attractive for a number of …
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Topics on multiple hypotheses testing and generalized linear model
… inverse sampling scheme-based regression models are used. The new model, based on generalized inverse sampling scheme for several special events, is developed in this dissertation. This research is an adaption to the widely used multinomial logistic regression model. The resulting …
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Advanced Linear Model Predictive Control For Helicopter Shipboard Maneuvers
… implementing and analyzing advanced methods of model predictive control to control helicopters into stable flight near a ship and perform a soft touchdown from that state. A shrinking horizon model predictive control method is presented which can target specific states at specific times and take …
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Modelling and Control of Chemical Processes using Local Linear Model Networks
… such as chemical process engineering. The modelling and control may face some challenges as the procedures applied to chemical reactors and processes are nonlinear. Therefore, the aim of this research is to overcome these challenges by applying a local linear model networks technique to …
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A Linear Model Approach to K-Sample Regression Problems With Applications
Made available in DSpace on 2014-12-12T19:53:09Z (GMT). No. of bitstreams: 1 7524321.pdf: 3775533 bytes, checksum: 98ca30360bdcfbb120359fc7befa4fda (MD5) Previous issue date: 1975
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Contributions to the theory of generalized inverses, the linear model and outliers
… insights into reparametrizations of the general linear model, and into the imposition of constraints, when the variance-covariance structure is σ².I. Hypothesis-test statistics for non-estimable functions are shown to give no further information than underlying estimable functions. For an …
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A detailed investigation of the linear model and some of its underlying assumptions
… of this thesis is to provide a study of the linear model. The whole work has been split into 6 chapters. In Chapter 1 we define and examine the two linear models, i.e. the regression and the correlation model. More specifically we show that the regression model is the conditional version of …
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A comparison of algorithms for least squares estimates of parameters in the linear model
Typescript (photocopy).
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A comparison of algorithms for least squares estimates of parameters in the linear model
Typescript (photocopy).
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Multiple Linear Model Selection: A Data Study on the Ecological Controls on Methylmercury Production
… goal was to use the Backward Elimination model selection to develop the best fitted linear regression model to test the impact of seven environment variables on methylmercury concentration. Before analysis, I cleaned the whole data set and removed all missing values and transformed some …
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Unified Approach to Partially Linear Model and Cox Proportional Hazards Model with Missing Covariates
… and Zhao et al. (2013) to deal with partially linear model (Engle et al., 1986) and Cox proportional hazards model (Cox, 1972) with missing covariates. The unified approach possesses some superior characteristics in dealing with regression models with missing data. First, the unified approach …
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Interpersonal Attraction and Value Similarity: The Linear Model of Attraction and Rokeach's Value Theory
Made available in DSpace on 2014-12-08T23:02:19Z (GMT). No. of bitstreams: 1 7020969.pdf: 5221938 bytes, checksum: 77c410bc320b5027c717e36140edb6df (MD5) Previous issue date: 1970
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Ill-conditioned information matrices and the generalized linear model: an asymptotically biased estimation approach
In the regression framework of the generalized linear model (Nelder and Wedderburn (1972)), interative maximum likelihood parameter estimation is employed via the method of scoring. This iterative procedure involves a key matrix, the information matrix. Ill-conditioning of the information matrix …
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A sequential adaptive sampling technique based on a local linear model for computer experiment applications
… of this dissertation research is to develop a model independent sequential adaptive sampling technique for surrogate model (SM) applications based on a local linear model. This technique, called Nearest Neighbors Adaptive Sampling (NNAS), is conceived to be conceptually simple, computationally …
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A log-linear model for predicting risk factors for rabies positivity in raccoons in Virginia, 1984-1987
… submission forms was used in a mathematical model analysis of the epidemiology of raccoon rabies in Virginia for the years 1984 through 1987. Eleven explanatory variables and one response variable (positivity for rabies) were examined. The objective of this study was to develop a model, …
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Effect of organizational environments on the status attainment of students of color and majority students: a general linear model analysis
<p>This study sought to determine if the graduation rates of students of color and majority students at public, research extensive and intensive institutions could be predicted by institutional resource allocation activities in the context of both the internal and external environments of …
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