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 29 for “"Statistical hypothesis testing"”.
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Statistical Hypothesis Testing Under Model Uncertainty
Statistical testing is one of the main problems in statistics and finds applications in a number of fields, including engineering, signal processing, medicine, and finance among others. Traditionally in hypothesis testing problem, the hypothesis distributions subject to testing are known. However, …
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A statistical perspective on machine learning: three essays on improvement, application and interpretation of predictive algorithms
… the improvement of predictive algorithms using statistical concepts, potential and challenges in the application of predictive algorithms in areas traditionally covered by statistical theory, and the interpretation of black-box algorithms by means of statistical hypothesis testing.
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A comparative study of stochastic models in biology
… not fall under any category for which standard statistical techniques are available to be able to analyse them. Under these situations, specifics methods have to be developed to solve and answer questions put forward by biologists. In this thesis four different problems occurring in biology are …
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From data to decisions through new interfaces between optimization and statistics
… well in practice, demonstrated by a novel statistical test applied to data from a loan provider. In part II, we focus on the interface between statistical hypothesis testing and optimization under uncertainty. In the first half, we propose a novel method for data-driven stochastic …
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IDENTIFYING AND EXPLOITING SYNTHETIC LETHALITY FOR CANCER THERAPEUTICS
… using multiple genomic data sources, based on statistical hypothesis testing and collective matrix factorization. A new algorithm to mine and analyse a network of pairwise interactions is presented, finally, an application in personalized treatment recommendations is explored that uses …
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A UNIFORMLY MOST POWERFUL TEST FOR THE MEAN OF A BETA DISTRIBUTION
… in health care. It also plays a key role in statistical theory, including multivariate analysis of variance (MANOVA) and Bayesian statistics. It is a flexible distribution that can account for many different characteristics of real data. To our surprise, there has been very little work or …
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The Bayesian validation metric : a framework for probabilistic model calibration and validation
… Metric" (BVM) as a general model validation and testing tool. We show that the BVM can represent all the standard validation metrics - square error, reliability, probability of agreement, frequentist, area, probability density comparison, statistical hypothesis testing, and Bayesian model testing …
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Topics in multivariate covariance estimation and time series analysis.
… we will discuss two topics relevant to statistical analysis. The first is a new test of linearity for a stationary time series, that extends the bootstrap methods of Berg et al. (2010) to goodness-of-fit (GoF) statistics specified in Harvill (1999) and Jahan and Harvill (2008). Berg's …
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Reliability Analysis of Tailings Storage Facility Embankments: Investigating the Effect of Zonation on Slope Stability
… using Spencer’s limit-equilibrium method, and statistical hypothesis testing (Student’s t-test) was performed to assess the significance of differences across zoning configurations. The results indicate that stratification has a significant influence on reliability outcomes. While zoning had …
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Stress Levels of CS1 Students During Programming- Measurement and a Cause and Effect Analysis
… by observing the comparisons and tested using statistical hypothesis testing to correlate stress with the participant's gender, major, prior programming experience and with their ACT/SAT scores. The test results proved that all these hypotheses are valid with the collected data.</p>
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The motivation of middle management in the North Derbyshire area of the National Coal Board.
… to a quantified reply for each individual. Statistical hypothesis testing is used to determine significant differences between the groups. The research concludes that all the motivators and hygiene factors specified by Herzberg are represented amongst the personnel examined, but in varying …
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MI Abrams maintenance performance analysis at the US Army's National Training Center
… first research question asks if Ml OR rates are statistically below the Army Standard. Through collection of OR data throughout the Army, this study confirmed using statistical hypothesis testing that OR rates at NTC are below standard. The next three questions used regression analysis to …
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Sampling spatial sediment variation in gravel-bed streams
… taken in the composite grid sample one can use statistical hypothesis testing to systematically analyze local means throughout the sampled area and locate sediment boundaries. Once the boundaries are located, stones from the composite grid sample falling within the boundaries of a particular …
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Non-elite mortuary variability in the Early Dynastic Memphis region
… its funerary remains. The study engages in statistical analyses of cemetery data comparing grave parameters such as volume, quantity of grave goods, their materials and pottery vessel types, but also architecture, body protection, skeletal sex and the age of the deceased across sites. The …
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Bioinstrumentation and Statistical Methods for Investigating Host-Microbial Interactions
… microbial community structure. I explain how statistical hypothesis testing can be simultaneously addressed while reducing its dimensionality. I verify the technique’s performance by comparing it to an existing dimensionality reduction method. Taken together, the combined microfluidic and data …
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Balancing China's Seasonal Intercity Travel Demand: Alternatives for Freight Rail Expansion to Reduce Seasonal Passenger Rail Demand
… using geographic information systems (GIS), statistical hypothesis testing, and economic analysis including location quotients were conducted to examine spatial relationships among markets, factories, raw materials, workers, and rail connections. Potential was explored for developing freight …
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Residual analysis and truncated observations
Not available
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ROBUST KULLBACK-LEIBLER DIVERGENCE AND ITS APPLICATIONS IN UNIVERSAL HYPOTHESIS TESTING AND DEVIATION DETECTION
… context of mathematical communication theory and statistical hypothesis testing. The KL divergence for discrete distributions has the desired continuity property which leads to some fundamental results in universal hypothesis testing. With continuous observations, however, the KL divergence is …
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Development of image processing algorithms for automatic segmentation and selection of swine postural behaviors used in an interactive environmental control
… Reference image updating algorithm based on statistical hypothesis testing was developed to trace the changes in the background so that the influences of changing illumination, color fading and shadowing would have little effect on the performance of the subsequent image segmentation. Only …
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Appreciating the Importance of Parasites: Analyzing and Understanding the Ecology of Parasite-Host Interactions
… interactions is usually gained by methods of statistical hypothesis testing, additional importance should be placed on the analysis and interpretation of parasite-host interactions. In this dissertation I address these ideas in three separate but interrelated studies with the three following …
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