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 35 for “"interval estimation"”.
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POST-MORTEM INTERVAL ESTIMATION THROUGH METABOLOMICS OF PINEAL GLAND
… in metabolites correlated with the post-mortem interval, offering a novel approach for time-of-death estimation.
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Confidence Interval Estimation of Cumulative Incidence for Clustered Competing Risks
… for an outcome and its associated confidence interval under competing risks do not account for the effect of clustering. This may cause incorrect estimation of confidence intervals because outcomes among patients from the same center are correlated. This thesis compared six nonparametric …
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Role of rat medial prefrontal cortex in time interval estimation
… the involvement of prefrontal cortex in time interval estimation. The underlying neural processes are poorly understood, however, in part because of the paucity of physiological studies. The goal of this study was to test the requirement of intact medial prefrontal cortex (mPFC) for performing …
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Interval Estimation for the Ratio of Percentiles from Two Independent Populations.
… This thesis constructs a large sample confidence interval for the ratio of percentiles whose underlying distributions are known. A simulation study is conducted to evaluate the coverage probability of the proposed interval method. The distributions that are considered in this thesis are the …
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Rr Interval Estimation From An Ecg Using A Linear Discrete Kalman Filter
… with Myocardial Infarction (MI). The time interval between each beat is called an RR interval, where the heart rate is given by the reciprocal of the RR interval expressed in beats per minute. For a deeper insight into the dynamics underlying the beat to beat RR variations and for …
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Simulation Study on Confidence Interval Estimation for Standard Deviation with Non-Normal Distributions
… innovative approaches to constructing confidence intervals for the population standard deviation, σ, in non-normal data scenarios. While the sample standard deviation, s, is widely used, its reliability is compromised when dealing with skewed or heavy-tailed distributions and exhibits sensitivity …
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Confidence Interval Estimation for Distribution Systems Power Consumption by Using the Bootstrap Method
… estimate, for a distribution network, confidence intervals containing the values of nodal hourly power consumption and nodal maximum power consumption per customer where they are not measured. The values of nodal hourly power consumption are needed in operational as well as in planning stages to …
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A summary of confidence interval estimation of standard and certain non-centrality parameters
In this thesis, confidence bounds on simple and more complex parameters are stated along with detailed computational procedures for finding these confidence bounds from the given data. Confidence bounds on the more familiar parameters, i.e., μ, ơ², μ₁ - μ₂, and ơ²₁/ơ²₂, are briefly presented for …
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Approximate interval estimation methods for the reliability of systems using component data with exponential and Weibull distributions.
Two approximate parametric interval estimation methods for system reliability using component test data are developed and evaluated. One method can be applied to any coherent system with components which have exponential failure times with possibly different failure rates and different mission …
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Assessing the Effectiveness of an Interval Estimation and a Visual-Spatial Secondary Task as Measures of Mental Workload During Laparoscopy
… secondary workload tasks, specifically a time interval estimation and visual-spatial task, to determine which of these is most appropriate for the assessment of laparoscopic mental workload. Participants performed a peg transfer task in two conditions: a normal camera angle and a 90° camera …
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Confidence Intervals for Population Size in a Capture-Recapture Problem.
… problem, two new Wilson methods for interval estimation of population size are derived. Classical Chapman interval, Wilson and Wilson-cc intervals are examined and compared in terms of their expected interval width and exact coverage properties in two models. The new approach performs …
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Clasificación supervisada basada en redes bayesianas. Aplicación en biología computacional
… de clasificación supervisada denominado Interval Estimation naïve-Bayes y se han mejorado varios de los algoritmos de clasificación propuestos en la literatura. Los resultados experimentales obtenidos han sido muy satisfactorios, ya que demuestran la superioridad de nuestra idea. Además, …
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Prediction Intervals: The Effects and Identification of Sparse Regions for Nonparametric Regression Methods
… different nonparametric methods for prediction interval estimation and investigate how well they perform when making predictions in sparse regions of the predictor space. This sparsity is an extension to the more common concept of extrapolation in linear regression settings. Using simulation …
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A statistical approach to assess the efficiency of bioremediation methods
… approaches to the above problem: (1) Confidence Interval Estimation of the percent Reduction; (2) A Hypothesis Testing Formulation of the above problem. Simulation will be used to provide examples.
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Computer methods for generating pseudo-random numbers from Pearson distributions and mixtures of Pearson and uniform distributions
… and a uniform distribution on any finite interval. The Pearson distribution may be specified either by the first four moments or from sample data, then the parameters of the fitted distribution are printed and, if desired, a graph of the distribution. A graph of the mixture of …
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Truncation Models for Pareto and Exponential Distributions with Applications
… We also briefly address testing and interval estimation for the parameters, and offer an extension of the model to a regression setting, where the main shape parameter is driven by covariates. We address the issues of parameter estimation and checking goodness-of-fit in the regression …
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Investigaion of the Gamma Hurdle Model for a Single Population Mean
… some advantages, it doesn’t typically provide an interval estimator for the global population mean of the variable of interest. In this work we developed a Wald interval for the population mean assuming the gamma hurdle model. Using<br />simulation, we investigated our procedure along with …
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Inferences on the parameters of the Weibull distribution
… include solutions to the standard problems of interval estimation and hypothesis testing. In addition tolerance limits and confidence limits on the reliability are given. these procedures are accomplished by the discovery of certain pivotal functions whose distributions can be obtained by Monte …
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