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(1989)This work deals with a decisiontheoretic evaluation of pvalue rules. A test statistic is judged on the behavior of its pvalue with the loss function being an increasing function G of the pvalue.
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(1992)The accuracy of alternative estimation methods (i.e., ML, GLS, and WLS) in structural equation modeling was investigated under two kinds of sample sizes150 and 500with advantage of Monte Carlo study. Four types of ...
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(1999)Binary dye mixtures were used to demonstrate the influence of the molecular brightness on the fluctuation amplitude G(0). This dependence allows to resolve multiple species based on the difference in their molecular ...
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(1993)The analysis of directional data is an area of statistics concerned with observations collected initially in the form of unit vectors, or with vectorvalued observations that can be reduced to that form through some type ...
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(1993)Freesorting data are obtained when subjects are given a set of objects and are asked to divide them into subsets. Such data are usually reduced by counting, for each pair of objects, how many subjects placed the two into ...
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(1993)The models developed in this thesis are designed to analyze the nature of the interactions present in 3mode, multivariate, longitudinal categorical data. They are extensions of loglinear models that provide graphical ...
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(2001)Representations of Thurstonian models cannot be uniquely identified because of the discrete nature and the difference structure of the paired comparison data. In this thesis, the identifiability of model parameters are ...
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(1996)The identifiability and estimability of the parameters for the Unified Cognitive/IRT Model are studies. A calibration procedure for the Unified Model is then proposed. This procedure uses the marginal maximum likelihood ...
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(1989)In many areas of application of statistics one has a relevent parametric family of densities and wishes to estimate the density from a random sample. In such cases one can use the family to generate an estimator. We fix a ...
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(1989)Many authors, for example, Fisher (1950), Pearson (1938), Birnbaum (1954), Good (1955), Littell and Folks (1971, 1973), Berk and Cohen (1979), and Koziol, Perlman, and Rasmussen (1988), have studied the problem of combining ...
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(1995)Thurstonian ranking models represent the psychological ranking process by latent random variables that follow a multivariate normal distribution. To evaluate the ranking probabilities and estimate the parameters of the ...
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(1993)We consider the problem of regressing a dichotomous response variable on a predictor variable. Our interest is in modelling the probability of occurrence of the response as a function of the predictor variable, and in ...
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(2007)Clustering and classification have been important tools to address a broad range of problems in fields such as image analysis, genomics, and many other areas. Basically, these clustering problems can be simplified as two ...
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(1994)In this thesis the method of bosonization of fermionic manybody systems in any number of dimensions is developed. After an introduction to the problem in chapter 1 and to the method of bosonization in chapter 2 (with its ...
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(2000)To effectively build a regression model with a large number of covariates is no easy task. We consider using dimension reduction before building a parametric or spline model. The dimension reduction procedure is based on ...
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(1990)In this thesis we discuss a mesoscale model of blockcopolymer (BCP) microphase separation dynamics based on a cell dynamics system (CDS) model. The model suggests a partial differential equation (PDE) model that allows ...
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(2000)Motivated by consulting in infrastructure studies, we consider the estimation and inference for regression models where the response variable is bounded or censored. In these conditions, least squares methods are not ...
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Now showing items 120 of 163