# Browse Dissertations and Theses - Statistics by Title

• (2016-07-08)
We propose new sequential importance sampling methods for sampling contingency tables with fixed margins, loopless, undirected multigraphs, and high-dimensional tables. In each case, the proposals for the method are ...

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• (2017-06-06)
Monte Carlo methods provide tools to conduct statistical inference on models that are difficult or impossible to compute analytically and are widely used in many areas of statistical applications, such as bioinformatics ...

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• (2016-07-14)
The innovation of modern technologies drives research and development on high-dimensional data analysis in diverse fields, where variable selection plays a pivotal role to ensure credible model estimation. We focus on ...

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• (2010-08-31)
Semi-parametric and nonparametric modeling and inference have been widely studied during the last two decades. In this manuscript, we do statistical inference based on semi-parametric and nonparametric models in several ...

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• (1995)
We propose a fully sequential procedure for constructing a fixed width confidence band for an unknown density on a finite interval and show the procedure has the desired coverage probability asymptotically as the width of ...

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• (1987)
In this thesis we study sequential procedures for constructing one-sided and bounded sequential confidence sets with $\beta$-protection and coverage probability at least 1 $-$ $\alpha$ for the mean of a distribution in the ...

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• (1987)
We consider a class of invariant sequential procedures for constructing one-sided and two-sided confidence sets for a parameter $\gamma$ in R$\sp{k}$, with the property that they have a coverage probability at least 1 - ...

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• (1960)

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• (1990)
Suppose that $X\sb1,X\sb2,\cdots$ are independent observations from a distribution F, and that one wishes to estimate the $p\sp{\rm th}$ quantile $\xi\sb{p}(0 0).$ If $f(\xi\sb{p})$ is known, one may use the best fixed ...

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• (2017-04-21)
E-learning assessments are becoming a common educational medium to instruct fine-grained skills in modern pedagogy. To accentuate the advantages of e-learning assessments, it is vital to automate the process of instruction ...

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• (1959)

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• (1981)
The thesis first describes how sufficiency and invariance considerations can be applied in problems of confidence set estimation to reduce the class of set estimators under investigation. Let X be a random variables taking ...

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• (1996)
The first part of this thesis, Chapter 2 through Chapter 4, explores procedures for assessing latent test dimensionality. In Chapter 2, the structure and theoretical properties of conditional item pair covariances given a ...

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• (1996)
The issues studied in this thesis are: the assumption of local independence (LI) in item response theory (IRT) models in the first three chapters, and differential item functioning (DIF) in IRT in the last chapter. A new ...

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• (1998)
A method of Pashley and Reese (in press) for simulating locally dependent data, whose item pair dependencies relate directly to local dependence assessment procedures is discussed. This method is extended to allow for the ...

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• (1979)

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• (1991)
Let $({\bf X}\sb{i},Y\sb{i}), i = 1,2,\cdots,$ 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$\vert{\bf X}\sb{i})\rbrack$ = ${\bf ... application/pdf PDF (2MB) • (1992) It has long been part of the Item Response Theory (IRT) folklore that under the usual empirical Bayes unidimensional IRT modeling approach, the posterior distribution of examinee ability given test response is approximately ... application/pdf PDF (4MB) • (1994) Let$X\sb1, X\sb2, \... X\sb{n}\$ be i.i.d random variables with common unknown density function f. Here we are interested in estimating the unknown density f with bounded Mean Integrated Absolute Error (MIAE). Devroye and ...

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• (1994)
Local kernel estimates and B-spline estimates are considered in the nonparametric regression and the generalized linear models. The consistency and asymptotic normality of kernel estimates are proved. Simulations on B-spline ...

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