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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 114 for “"Applied Statistics"”.
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Studies in applied statistics : ship hull design optimization and endogamous group comparisons
This paper contains two case studies in applied statistics. The first study originated from a series of seakeeping experiments on twenty-seven different ship hull designs. The experimenters sought a method of predicting performance for hull designs different from those included in the study. The …
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INTROSTAT (Statistics textbook)
… commerce and management, for a course in applied statistics. IntroSTAT is designed as a lecture-book. One of the aims is to maximize the time spent in explaining concepts and doing examples. The book is commonly used as part of first year courses into Statistics.
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Essays on Probabilistic Machine Learning for Economics
… at the intersection of computer science and statistics. While widely used in applied statistics, these models, however, do not necessarily provide relevant and interpretable outputs from an economist's perspective. In this thesis, I appeal to information-theoretic methods to summarise the …
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Improving applicability of the non-monotone unified estimate for missing data
In applied statistics missing data are a common problem. Performing a "complete case analysis" by removing individuals with missing data causes a loss of statistical power and can cause non-response bias. Inverse probability weighting is one method used to avoid non-response bias. However, when …
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An Alternative Estimate of Preferred Direction for Circular Data
Circular or Angular data occur in many fields of applied statistics. A common problem of interest in circular data is estimating a preferred direction and its corresponding distribution. This problem is complicated by the so-called wrap-around effect, which exists because there is no minimum or …
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Organizational Trust, Intrinsic Motivation and Discretionary Effort: Three Studies
<p>Foundational economic models dictate that utility is derived primarily from consumption and leisure, with work as the source of pain, opportunity cost, and annoyance. Working was traditionally viewed by economists as something people only engage in when wages more than compensate for its …
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Bayesian Model Averaging and Variable Selection in Multivariate Ecological Models
… Model Averaging (BMA) is a new area in modern applied statistics that provides data analysts with an efficient tool for discovering promising models and obtaining esti-mates of their posterior probabilities via Markov chain Monte Carlo (MCMC). These probabilities can be further used as weights …
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TOPICS IN STOCHASTICS AND STATISTICS: SHOCK CREATION AND DISSOLUTION FOR STABLE AND LINNIK CONSERVATION LAWS AND TARGET STUDENT RECRUITMENT USING PREDICTIVE MODELING
… the stable and Linnik processes. The second is applied, and relies on logistic models.Over the past several decades, the subject of non-local, pseudo-differential operators witnessed a considerable research activity including, for example, in application to mathematical finance and dislocation …
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Modeling spatial covariance functions
… phenomenon can be captured. The model is applied to analyze teleconnection between sea surface temperature of tropical Pacific Ocean and hydrological droughts of North America incurred by the El Niño-Southern Oscillation.</p>
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Physics-guided inference from gas emission data for source characterization and air pollution mapping
… measurements. Our findings suggest that the statistics of the measurements, such as the coefficient of variation and range are good predictors of the performance of the Bayesian algorithm. In addition, the algorithm shows a high success rate in detecting the state change when the emission …
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Analysis of Repeated Measures Data Under Circular Covariance
<p>Circular covariance is important in modelling phenomena in epidemiological, communications and numerous physical contexts. We introduce and develop a variety of methods which make it a more versatile tool. First, we present two classes of estimators for use in the presence of missing …
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Uses of the Hypergeometric Distribution for Determining Survival or Complete Representation of Subpopulations in Sequential Sampling
<p>This thesis will explore the hypergeometric probability distribution by looking at many different aspects of the distribution. These include, and are not limited to: history and origin, derivation and elementary applications, properties, relationships to other probability models, kindred …
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Optimal Row-Column Designs for Correlated Errors and Nested Row-Column Designs for Uncorrelated Errors
<p>In this dissertation the design problems are considered in the row-column setting for second order autonormal errors when the treatment effects are estimated by generalized least squares, and in the nested row-column setting for uncorrelated errors when the treatment effects are estimated by …
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Comparing Elo, Glicko, IRT, and Bayesian IRT Statistical Models for Educational and Gaming Data
… increase in complexity, their ability to be applied to different types of data may have the ability to increase. Models that are applied to educational or psychological data have advanced to accommodate a wide range of data formats, including increased estimation accuracy with sparsely …
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An Analysis of All-Cause Mortality on Patients with Sickle Cell Disease and Kidney Disease using Propensity Score Matching
<p>In this work, we provide an overview of the Cox proportional hazards model for time to event or survival analysis and the notion of propensity score matching to deal with confounding factors. A full analysis is reported in Chapter 2 concerning mortality for in-center dialysis patients with …
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The Impact of “Multiple Looks” when Performing Survival Analysis
<p>Survival analysis is a critical statistical method in healthcare to assess patient treatment effects and disease progression. Another critical area of statistical methodology in health care is the practice of adaptive designs. Adaptive designs allow for interim analyses to take place during a …
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