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Nonparametric density estimation by generalized expansion estimators-a cross-validation approach

Creator:: Rossi, Richard J., 1956-
Resource Type:: Dissertation
Full Text:: maximized over SEX is (3.2.2) S(R;D) = arnSn(tPr,q)r,w). r=0 When w is understood to be 1, Sn will be

Post stratified estimation using a known auxiliary variable

Creator:: Bedier, Mostafa Abdellatif
Abstract:: Post stratification is considered desirable in sample surveys for two reasons - it reduces the mean squared error when averaged over all possible samples, and it reduces the conditional bias when conditioned on stratum sample sizes. The problem studied in this thesis is post stratified estimation of a finite population...
Resource Type:: Dissertation
Full Text:: . Faulkenberry's absence. My gratitude to Dr. David R. Thomas and Dr. David S. Birkes for their assistance and

Estimation of implicit prices in hedonic price models : flexible parametric versus additive nonparametric approach

Creator:: Bin, Okmyung
Abstract:: This thesis contains two essays that use state-of-the-art econometric methods to estimate the implicit prices of various housing and vehicle attributes in hedonic price analysis. The additive nonparametric regression proposed by Hastie and Tibshirani (1990) is applied to capture a series of nonlinearities relating prices to their attributes that cannot...
Resource Type:: Dissertation
Full Text:: parametric specifications for the regression function, m(x,), for example, m(x, ;A for /3 E S c , and S is

Uses of Bayesian posterior modes in solving complex estimation problems in statistics

Creator:: Lin, Lie-fen
Abstract:: In Bayesian analysis, means are commonly used to summarize Bayesian posterior distributions. Problems with a large number of parameters often require numerical integrations over many dimensions to obtain means. In this dissertation, posterior modes with respect to appropriate measures are used to summarize Bayesian posterior distributions, using the Newton-Raphson method...
Resource Type:: Dissertation
Full Text:: -Raphson method; (3) Determine 1 a2logh (0) Vom le. , (i, j=1, . . . , s) ; (1.13) (4) Treat the

Fisher and logistic discriminant function estimation in the presence of collinearity

Creator:: O'Donnell, Robert P. (Robert Paul)
Abstract:: The relative merits of the Fisher linear discriminant function (Efron, 1975) and logistic regression procedure (Press and Wilson, 1978; McLachlan and Byth, 1979), applied to the two group discrimination problem under conditions of multivariate normality and common covariance, have been debated. In related research, DiPillo (1976, 1977, 1979) has argued...
Resource Type:: Dissertation
Full Text:: 1.4 1.5 The vector is assigned to population 1 if f(x) > 0 and to population 2 if f(x) S 0. 1.2

Finite sample performance of nonparametric regression estimators : the case of additive and parametric covariance models

Creator:: Yang, Ke
Abstract:: This dissertation is composed of three essays regarding the finite sample properties of estimators for nonparametric models. In the first essay we investigate the finite sample performances of four estimators for additive nonparametric regression models - the backfitting B-estimator, the marginal integration M-estimator and two versions of a two stage...
Resource Type:: Dissertation
Full Text:: ). Stone(1980) showed that the best rate obtainable in the estimation of m(x) is s/(2s+d) where s is the

Propensity score methodology for nonignorable nonresponse

Creator:: Starcevich, Leigh Ann H.
Abstract:: When data are not missing at random, approaches to reduce nonresponse bias include subsampling nonresponding units and modeling. The objective of this thesis is to develop unbiased and precise model-assisted estimators of the population total that are applicable to data from a complex survey design with nonignorable nonresponse. When information...
Resource Type:: Dissertation

Nonparametric Estimation of Additive Models with Shape Constraints

Creator:: Wang, Lu
Abstract:: Monotone additive models are useful in estimating productivity curves or analyzing disease risk where the predictors are known to have monotonic effects on the response. Existing literature mainly focuses on univariate monotone smoothing. Available methods for the estimation of monotone additive models are either difficult to interpret or have no...
Resource Type:: Dissertation

Comparison and analysis of small area estimation methods for improving estimates of selected forest attributes

Creator:: Goerndt, Michael E.
Abstract:: One of the most common practices regarding estimation of forest attributes is the partitioning of large forested subpopulations into smaller areas of interest to coincide with specific objectives of present and future forest management. New estimators are needed to improve estimation of selected forest attributes in small areas where the...
Resource Type:: Dissertation

ScholarsArchive@OSU

Nonparametric density estimation by generalized expansion estimators-a cross-validation approach

Post stratified estimation using a known auxiliary variable

Estimation of implicit prices in hedonic price models : flexible parametric versus additive nonparametric approach

Uses of Bayesian posterior modes in solving complex estimation problems in statistics

Fisher and logistic discriminant function estimation in the presence of collinearity

Finite sample performance of nonparametric regression estimators : the case of additive and parametric covariance models

Propensity score methodology for nonignorable nonresponse

Nonparametric Estimation of Additive Models with Shape Constraints

Comparison and analysis of small area estimation methods for improving estimates of selected forest attributes

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