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.
Results
Showing 1 to 20 of 3389 for “"logistic"”.
-
Data-driven logistic planning
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.
-
Logistic Regression for Prospectivity Modeling
… a method for automated model selection using a logistic regression model in the context of prospectivity modeling, i.e. the exploration of minearlisations. This kind of data is characterized by a rare positive event and a large dataset. We adapted and combined the two statistical measures Wald …
-
Identifying Risk Factors Related to Premature Birth Through Binary Logistic and Proportional Odds Ordinal Logistic Regression
… age of five. This thesis will implement binary logistic regression and proportional odds ordinal logistic regression to predict different levels of premature birth and identify associated risk factors. The models will be built from the Center for Disease Control and Prevention's 2014 Vital …
-
Deep submersible logistic support design concept
This thesis proposes a simplification of the logistic and operational problems of deep submersibles using a support craft-submersible combination. Shown is an improved vehicle launch and recovery method and a means to transfer personnel, supplies, and services during sea conditions presently …
-
Bayesian Inference in Nonparametric Logistic Regression
We consider the problem of regressing a dichotomous response variable on a predictor variable. Our interest is in modelling the probability of occurrence of the response as a function of the predictor variable, and in inferences about the estimated function. The log-odds (logit) of the probability …
-
Monitoring Parameter Change in Autocorrelated Logistic Regression
… for monitoring changes in the coefficients of logistic regression model with AR( p)-type structure. The objective of this thesis is (a) to use Monte Carlo experiments to evaluate the average stopping times, probability of false alarm, and power of the proposed procedure; (b) to illustrate the …
-
Properties Of Logistic Regression Models With Correlated Observations
The correlated logistic regression model, a new model for correlated binary observations in the presence of covariates, is introduced and its relationship with other logistic models established. Comparisons are made with other models for correlated binary outcomes, particularly those that allow …
-
Modified half logistic - exponentiated Kumaraswamy distribution and applications
… one based on the combination of the Type-II Half Logistic distribution and the Exponentiated Kumaraswamy distribution. We defined it as the Modified Half Logistic - Exponentiated Kumaraswamy (MHL-EK) distribution. Then, we will study its statistical properties, such as quantile function, moments, …
-
Modeling the NCAA Tournament Through Bayesian Logistic Regression
… variables. We use an MCMC approach and logistic regression along with several model selection techniques to arrive at models for predicting the winner of each game. When given the 63 actual games in the 2012 tournament, eight of our models performed as well as Pomeroy's rating system and …
-
Some sequential estimation problems in logistic regression models
… i = 1,2,\cdots,$ be a random sample satisfying a logistic regression model; that is, for each i, log($P(Y\sb{i}$ = $1\vert{\bf X}\sb{i})/P(Y\sb{i}$ = 0$\vert{\bf X}\sb{i})\rbrack$ = ${\bf X}\sbsp{i}{T}\beta\sb0,$ where $Y\sb{i}\in\{$0,1$\},$ ${\bf X}\sb{i}\in{\bf R}\sp{p}$ and $\beta\sb0\in{\bf …
-
Optimal designs for a bivariate logistic regression model
… 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 probability of efficacy without toxicity at dose d, over a …
-
Properties of the Logistic Equation as a Dynamical System
No abstract prepared.
-
Design, digitization and optimization of socially sustainable logistic systems
Logistic systems manage the flow of materials and information of companies and they are a relevant component in every sector. For this reason, the efficient design and the optimization of these systems is a necessary, but non-trivial, activity especially in the sectors most affected by the COVID-19 …
-
Discrete and dynamic population models with logistic growth rate
… yield of a harvested single population with logistic growth. This powerful tool serves as a foundation for the analysis of the exploitation of the discrete population model. The Beverton-Holt population model including harvesting is defined and its unique periodic solution derived. The goal …
-
Power analysis for a mixed effects logistic regression model
In herd health studies, the mixed effects logistic regression model with random herd effects are commonly used for modeling clustered binary data. These models are well developed and widely used in the literature, among which is the logistic-normal regression model. In contrast to the rich …
-
The use of a logistic map for key generation
… and its performance analyzed. The method, the logistic map scheme (LMS), is applicable for use on wireless networks because it does not require devices to engage in computationally intensive algorithms. In addition, the method is shown to achieve reliability from the perspective of the …
-
Optimal experimental designs for two-variable logistic regression models
Binary response data is often modeled using the logistic regression model. Experimental design theory for the logistic model appears to be increasingly important as experimentation becomes more complex and expensive. The optimal design work is extremely valuable in areas such as biomedical and …
-
Berkson's method vs. maximum likelihood in the logistic regression model
Call number: LD2668 .R4 STAT 1988 R33
Page 1 of 170