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 42 for “"bootstrap method"”.
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Bias Reduction of Estimates By Bootstrap Method
… show by direct computation that the bias of the bootstrap estimate of μ⁴ can be reduced, where μ is the mean of the population. We consider both nonparametric and parametric cases. In the parametric case, the bias of the bootstrap estimate is computed for normal, exponential and Poisson …
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Examining the validity of sample clusters using the bootstrap method
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mathematics, 1983.
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Confidence Interval Estimation for Distribution Systems Power Consumption by Using the Bootstrap Method
… intensive statistical technique, namely the bootstrap method, is utilized to estimate these intervals. It allows us to replace idealized model assumptions for the load distributions by model free analyses. Two studies have been executed. The first one is based on the original nonparametric …
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A Comparison of Kernel Equating and Traditional Equipercentile Equating Methods and the Parametric Bootstrap Methods for Estimating Standard Errors in Equipercentile Equating
… simulation (a) to compare the kernel equating method to traditional equipercentile equating methods under the equivalent-groups (EG) design and the nonequivalent-groups with anchor test (NEAT) design and (b) to apply the parametric bootstrap method for estimating standard errors of equating. A …
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Essays on time series and panel data econometrics
… data econometrics. The first essay considers the bootstrap method for the covariates augmented Dickey-Fuller (CADF) unit root test suggested by Hansen (1995). It is known that the CADF test is very powerful. However, its limit distribution depends on the nuisance parameter, and thus inference is …
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Nonparametric Statistical Approaches for Benchmark Dose Estimation in Quantitative Risk Assessment
… the result may perform poorly. Non-parametric methods are then needed. The percentile bootstrap method from linear splines with Pool Adjacent Violator is first introduced. The method appeals to an asymptotic approximation, hence there is interest in assessing the small-sample coverage …
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Clustering Analysis of Zernike Coefficients From High Order Aberration Patients
… fifteen Zernike coefficients using the method of clustering of linear regression models (CLM). EM algorithm is used to infer the maximum likelihood estimate of parameters for each cluster. Bayesian information criterion (BIC) combined with Bootstrapped maximum volume (BMV) criterion are …
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Statistical Methods For Biomarker Threshold Models in Clinical Trials
… the model irregularities. We develop a residual bootstrap method to approximate the distribution of a proposed test statistic to test for treatment-biomarker interaction in survival data. Simulation studies show that the residual bootstrap test works well. The proposed method is applied to BIG …
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Nonparametric statistical procedures for therapeutic clinical trials with survival endpoints
… To implement the proposed tests, nonparametric bootstrap method is employed to approximate the distributions of the test statistics to construct the corresponding bootstrap confidence interval procedures. Monte-Carlo simulations are performed to investigate the actual type I error of the …
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Evaluation of Using the Bootstrap Procedure to Estimate the Population Variance
<p>The bootstrap procedure is widely used in nonparametric statistics to generate an empirical sampling distribution from a given sample data set for a statistic of interest. Generally, the results are good for location parameters such as population mean, median, and even for estimating a …
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Essays on misspecified models
… different. Chapter 2, ”Mis-specification-Robust Bootstrap for Empirical Likelihood Estimators ”, proposes an adapted bootstrap testing procedure for empirical likelihood estimators. This method extends the bootstrap method in Lee (2014) by using the empirical likelihood weights, which could …
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Testing for Changes in Trend in Water Quality Data
… for a change in trend is addressed, and a method for perfoming this test based on a test of equivalence of two modified Kendall's Tau nonparametric correlation coefficients (neither necessarily equal to zero) is presented. The test is made valid for use with serially correlated data by use …
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HIGH DIMENSIONAL TIME SERIES ANALYSIS AND ITS APPLICATION IN MODELING TRANSMISSION DYNAMICS OF DENGUE
… In a high dimensional set-up, most existing methods either are computationally infeasible, or suffer from highly distorted Type-I errors, or both. To address this problem, we propose an easy-to-implement bootstrap method for high-dimensional WN test and prove its consistency for a variety of …
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Topics in multivariate covariance estimation and time series analysis.
… 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 bootstrap method utilizes the statistics specified in Hinich (1982) in the framework of an autoregressive …
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Extensions of Markov Chain Marginal Bootstrap
The Markov chain marginal bootstrap (MCMB) is a new bootstrap method proposed by He and Hu (2002) for constructing confidence intervals or regions based on likelihood equations. It is designed to ease the computational burden of bootstrap in high-dimensional problems. It differs from the usual …
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Preserved Implicit Semantic Differentiation in an Alexic Wernicke's Aphasic
… during the oddball tasks were analyzed using the bootstrap method, a non-parametric technique for estimating a population distribution from a single sample's data. In the non-semantic oddball paradigm, which served as a baseline for the semantic oddball paradigm, a classic P300 probability effect …
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Assessing Drought Flows For Yield Estimation
… computation. This thesis presents a synthesis of methods of drought flow analysis and yield estimation. The yield depends on both the magnitude of the deficit and its temporal distribution. A new Markov chain analysis for assessing frequencies of annual flows is proposed. The Markov chain results …
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Stated and Revealed Preference Valuation of Forest Ecosystems
… commonly conducted non-market value evaluation methods which can also be applied to make evaluation of forest ecosystem. In the application of these evaluation methodologies, there always exists limitation from the data collection and empirical analysis. In the dissertation here, I extend the …
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Essays in semiparametric and nonparametric estimation with application to growth accounting
… essay explores the directional distance function method to analyze productivity growth. The method explicitly evaluates the role of undesirable outputs of the economy, such as carbon dioxide and other green-house gases, have on the frontier production process which we specify as a piecewise linear …
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Statistical aspects of bioavailability
… univariate procedures are employed. Efren's bootstrap method, which does not rest on assumptions about the underlying distribution, is proposed as a tool for assessing bioequivalence. A new measure of bioequivalence, the Index of Concordance, is proposed. This index can be computed with equal …
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