Index Catalog // ScholarsArchive@OSU

Modeling the Visibility Distribution for Respondent-driven Sampling with Application to Population Size Estimation

Creator:: McLaughlin, Katherine R., Johnston, Lisa G., Jakupi, Xhevat, Gexha-Bunjaku, Dafina, Deva, Edona, and Handcock, Mark S.
Abstract:: Respondent-driven sampling (RDS) is used throughout the world to estimate prevalence and population size for hidden populations. Although RDS is an effective method for enrolling people from key populations in studies, it relies on a partially unknown sampling mechanism, and thus each individual’s inclusion probability is unknown. Current estimators for...
Resource Type:: Article
Full Text:: respondent-driven sampling with application to population size estimation The Annals of Applied Statistics

Occupation and local times for skew Brownian motion with applications to dispersion across an interface

Creator:: Appuhamillage, T. A., Bokil, V. A., Thomann, E., Waymire, E., and Wood, B.
Abstract:: Advective skew dispersion is a natural Markov process defined ned by a di ffusion with drift across an interface of jump discontinuity in a piecewise constant diff usion coeffcient. In the absence of drift this process may be represented as a function of -skew Brownian motion for a uniquely determined...
Resource Type:: Article
Full Text:: with Applications to Dispersion Across an Interface Submitted to the Annals of Applied Probability

Estimating agreement coefficients from sample survey data

Creator:: Lin, Hung-Mo, Kim, Hae-Young, Williamson, John M., and Lesser, Virginia M.
Abstract:: We present a generalized estimating equations approach for estimating the concordance correlation coefficient and the kappa coefficient from sample survey data. The estimates and their accompanying standard error need to correctly account for the sampling design. Weighted measures of the concordance correlation coefficient and the kappa coefficient, along with the...
Resource Type:: Article
Full Text:: . Lesser, Department of Statistics and Survey Research Center, Oregon State University, 44 Kidder Hall

Subsampling Bootstrap of Count Features of Networks

Creator:: Bhattacharyya, Sharmodeep and Bickel, Peter J.
Abstract:: Analysis of stochastic models of networks is quite important in light of the huge influx of network data in social, information and bio sciences, but a proper statistical analysis of features of different stochastic models of networks is still underway.We propose bootstrap subsampling methods for finding empirical distribution of count...
Resource Type:: Article

Estimation and model selection in generalized additive partial linear models for correlated data with diverging number of covariates

Creator:: Wang, Li, Xue, Lan, Qu, Annie, and Liang, Hua
Abstract:: We propose generalized additive partial linear models for complex data which allow one to capture nonlinear patterns of some covariates, in the presence of linear components. The proposed method improves estimation efficiency and increases statistical power for correlated data through incorporating the correlation information. A unique feature of the proposed...
Resource Type:: Article

On normalized multiplicative cascades under strong disorder

Creator:: Dey, Partha S. and Waymire, Edward C.
Abstract:: The purpose of this note is to provide a coupling of weak limits in distribution of sequence of (normalized) multiplicative cascade measures under strong disorder in terms of the extremes of an associated branching random walk, assuming i.i.d positive, non-lattice bond weights and a second moment condition. The solution is...
Resource Type:: Article
Full Text:: . doi:10.1214/ECP.v20-3936 10.1214/ECP.v20-3936 Institute of Mathematical Statistics Version of

Advection–Dispersion Across Interfaces

Creator:: Ramirez, Jorge M., Thomann, Enrique A., and Waymire, Edward C.
Abstract:: This article concerns a systemic manifestation of small scale interfacial heterogeneities in large scale quantities of interest to a variety of diverse applications spanning the earth, biological and ecological sciences. Beginning with formulations in terms of partial differential equations governing the conservative, advective-dispersive transport of mass concentrations in divergence form,...
Resource Type:: Article
Full Text:: the Mathematics of Planet Earth and International Year of Statistics 2013 initiatives, we seek to

Variable Selection in High-dimensional Varying-coefficient Models with Global Optimality

Creator:: Xue, Lan and Qu, Annie
Abstract:: The varying-coefficient model is flexible and powerful for modeling the dynamic changes of regression coefficients. It is important to identify significant covariates associated with response variables, especially for high-dimensional settings where the number of covariates can be larger than the sample size. We consider model selection in the high-dimensional setting...
Resource Type:: Article
Full Text:: -coefficient Models with Global Optimality Lan Xue XUEL@STAT.OREGONSTATE.EDU Department of Statistics Oregon

bayesclust: An R Package for Testing and Searching for Significant Clusters

Creator:: Gopal, Vikneswaran, Fuentes, Claudio, and Casella, George
Abstract:: The detection and determination of clusters has been of special interest among researchers from different fields for a long time. In particular, assessing whether the clusters are significant is a question that has been asked by a number of experimenters. In Fuentes and Casella (2009), the authors put forth a...
Resource Type:: Article
Full Text:: Annals of Statistics, 29(4), 1165–1188. De Souto MCP, Costa IG, De Araujo DSA, Ludermir TB, Schliep A

Confidence intervals and tests for variance-component ratios in mixed linear models

Creator:: Li, Yulan
Resource Type:: Dissertation
Full Text:: of the maximal invariant statistic Q'Y, but also functions of the sufficient statistics (U1 U1, UW2

The efficiency of smooth goodness-of-fit tests

Creator:: Kopecky, Kenneth James
Resource Type:: Dissertation
Full Text:: ABSTRACT OF THE THESIS OF Kenneth James Kopecky for the degree of Doctor of Philosophy in Statistics

GIScience

Creator:: Wright, Dawn J.
Abstract:: GIScience (geographic information science) is a scholarly discipline that addresses fundamental issues surrounding the use of a variety of digital technologies to handle geographic information; namely, information about places, activities, and phenomena on and near the surface of the Earth that are stored in maps or images. GIScience includes the...
Resource Type:: Part of Book
Full Text:: transportation network, or of a map or table or spatial statistic expressing environmental impacts resulting

Regeneration surveys and evaluation

Creator:: Stein, William I.
Resource Type:: Part of Book
Full Text:: sample, which is an estimate of the mean of the population sampled, and the statistics that characterize

Public land statistics 1981

Creator:: United States. Bureau of Land Management
Abstract:: Gerald W. Williams Collection
Resource Type:: Book

Tools for environmental statistics : creative visualization and estimating variance from complex surveys

Creator:: Courbois, Jean-Yves Pip
Abstract:: Environmental monitoring poses two challenges to statistical analysis: complex data and complex survey designs. Monitoring for system health involves measuring physical, chemical, and biological properties that have complex relations. Exploring these relations is an integral part of understanding how systems are changing under stress. How does one explore high dimensional...
Resource Type:: Dissertation
Full Text:: Courbois for the degree of Doctor of Philosophy in Statistics presented on January 7. 2000. Title: Tools

Fisheries statistics of Oregon

Creator:: Oregon. Fish Commission and Cleaver, Fred C. (Frederick Charles), 1916-
Resource Type:: Technical Report
Full Text:: . FISHERIES STATISTICS OF OREGON F. C. CLEAVER Editor OREGON FISH COMMISSION Portland, Oregon Contribution

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:: estimation problems in statistics AN ABSTRACT OF THE THESIS OF Lie-Fen Lin for the degree of Doctor of

Diagnostics for the evaluation of spatial linear models

Creator:: Thompson, Caryn M. (Caryn Marie)
Abstract:: Geostatistical linear interpolation procedures such as kriging require knowledge of the covariance structure of the spatial process under investigation. In practice, the covariance of the process is unknown, and must be estimated from the available data. As the quality of the resulting predictions, and associated mean square prediction errors, depends...
Resource Type:: Dissertation
Full Text:: ABSTRACT OF THE THESIS OF Caryn Marie Thompson for the degree of Doctor of Philosophy in Statistics

Applying higher order asymptotics to mixed linear models

Creator:: Lyons, Benjamin
Abstract:: Mixed linear models are a time honored method of analyzing correlated data. However, there is still no method of calculating exact confidence intervals or p-values for an arbitrary parameter in any mixed linear model. Instead, researchers must use either specialized approximate and exact tests that have been developed for particular...
Resource Type:: Dissertation
Full Text:: Doctor of Philosophy in Statistics presented on October 14, 1997. Title: Applying Higher Order

Variable selection in semi-parametric models

Creator:: Jiang, Shuping
Abstract:: We consider two semiparametric regression models for data analysis, the stochastic additive model (SAM) for nonlinear time series data and the additive coefficient model (ACM) for randomly sampled data with nonparametric structure. We employ the SCAD-penalized polynomial spline estimation method for estimation and simultaneous variable selection in both models. It...
Resource Type:: Dissertation
Full Text:: OF THE DISSERTATION OF Shuping Jiang for the degree of Doctor of Philosophy in Statistics presented

Analysis of epidemiological data with covariate errors

Creator:: Delongchamp, Robert
Abstract:: In regression analysis, random errors in an explanatory variable cause the usual estimates of its regression coefficient to be biased. Although this problem has been studied for many years, routine methods have not emerged. This thesis investigates some aspects of this problem in the setting of analysis of epidemiological data....
Resource Type:: Dissertation
Full Text:: An Abstract of the Thesis of Robert Delongchamp for the degree of Doctor of Philosophy in Statistics

Neural network imputation : a new fashion or a good tool

Creator:: Amer, Safaa R.
Abstract:: Most statistical surveys and data collection studies encounter missing data. A common solution to this problem is to discard observations with missing data while reporting the percentage of missing observations in different output tables. Imputation is a tool used to fill in the missing values. This dissertation introduces the missing...
Resource Type:: Dissertation
Full Text:: of Doctor of Philosophy in Statistics presented on June 7, 2004. Title: Neural Network Imputation: A

Spatial graphical models with discrete and continuous components

Creator:: Che, Xuan
Abstract:: Graphical models use Markov properties to establish associations among dependent variables. To estimate spatial correlation and other parameters in graphical models, the conditional independences and joint probability distribution of the graph need to be specified. We can rely on Gaussian multivariate models to derive the joint distribution when all the...
Resource Type:: Dissertation
Full Text:: of Doctor of Philosophy in Statistics presented on August 16, 2012. Title: Spatial Graphical Models

Analysis of finite population surveys : sample size and testing considerations

Creator:: McDonald, Trent, 1965-
Abstract:: This dissertation concerns two topics in the analysis of finite population surveys: setting sample size and hypothesis testing. The first concerns the a priori determination of the sample size needed to obtain species members. The second concerns testing distributional hypotheses when two equal-size populations are sampled. Setting sample size to...
Resource Type:: Dissertation
Full Text:: of Doctor of Philosophy in Statistics presented on May 6, 1996. Title: Analysis of Finite Population

Extensions of the proportional hazards loglikelihood for censored survival data

Creator:: Derryberry, DeWayne R.
Abstract:: The semi-parametric approach to the analysis of proportional hazards survival data is relatively new, having been initiated in 1972 by Sir David Cox, who restricted its use to hypothesis tests and confidence intervals for fixed effects in a regression setting. Practitioners have begun to diversify applications of this model, constructing...
Resource Type:: Dissertation
Full Text:: Philosophy in Statistics presented on September 22. 1998. Title: Extensions of the Proportional Hazards Log

Statistical aspects of two measurement problems : defining taxonomic richness and testing with unanchored responses

Creator:: Ritter, Kerry
Abstract:: Statisticians often focus on sampling or experimental design and data analysis while paying less attention to how the response is measured. However, the ideas of statistics may be applied to measurement problems with fruitful results. By examining the errors of measured responses, we may gain insight into the limitations of...
Resource Type:: Dissertation
Full Text:: degree of Doctor of Philosophy in Statistics presented on April 3, 2001. Title: Statistical Aspects of

Semiparametric maximum likelihood for regression with measurement error

Creator:: Suh, Eun-Young
Abstract:: Semiparametric maximum likelihood analysis allows inference in errors-invariables models with small loss of efficiency relative to full likelihood analysis but with significantly weakened assumptions. In addition, since no distributional assumptions are made for the nuisance parameters, the analysis more nearly parallels that for usual regression. These highly desirable features and...
Resource Type:: Dissertation
Full Text:: Suh presented on May 3, 2001 APPROVED: Major Professor, Statistics Head of Denailment of Statistics

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:: Doctor of Philosophy in Statistics presented on September 27, 1990. Title:Fisher and Logistic

Propensity score adjustments using covariates in observational studies

Creator:: Yang, Daniel K.
Abstract:: In this thesis we develop a theoretical framework for the identification of situations where the equal frequency (EF) or equal variance (EV) subclassification may produce lower bias and/or variance of the estimator. We conduct simulation studies to examine the EF and EV approaches under different types of model misspecification. We...
Resource Type:: Dissertation
Full Text:: ────────────────────────────────────────────────── Chair of the Department of Statistics ────────────────────────────────────────────────── Dean

F-tests in partially balanced and unbalanced mixed linear models

Creator:: Utlaut, Theresa L.
Abstract:: This dissertation considers two approaches for testing hypotheses in unbalanced mixed linear models. The first approach is to construct a design with some type of structure or "partial" balance, so that some of the optimal properties of a completely balanced design hold. It is shown that for a particular type...
Resource Type:: Dissertation
Full Text:: of Doctor of Philosophy in Statistics presented on February 11,1999. Title: F-Tests in Partially

Statistical estimation for initiative petitions and performance of the decision rule for Oregon state petitions

Creator:: Smith-Cayama, Rubén A.
Abstract:: Two topics concerning statistical sampling of initiative petitions are considered in this dissertation. The first concerns statistical estimation of the number of distinct valid signatures in a petition, and the second evaluates the statistical decision rule used by Oregon for determining certification of state initiative and referendum petitions. In several...
Resource Type:: Dissertation
Full Text:: . Smith-Cayama for the degree of Doctor of Philosophy in Statistics presented on September 7, 1999

Using percentile regression for estimating the maximum species richness line

Creator:: Qadir, Mohammad F.
Resource Type:: Dissertation
Full Text:: Estimation in Heteroscedastic Linear Models. The Annals of Statistics, 10, 429-441. Davidian, M., and R. J

Estimating absence

Creator:: Kincaid, Thomas M.
Abstract:: The problem addressed is absence of a class of objects in a finite set of objects, which is investigated by considering absence of a species and absence in relation to a threshold. Regarding absence of a species, we demonstrate that the assessed probability of absence of the class of objects...
Resource Type:: Dissertation
Full Text:: . Kincaid for the degree of Doctor of Philosophy in Statistics presented on November 25, 1997. Title

The laplace approximation and inference in generalized linear models with two or more random effects

Creator:: Pratt, James L.
Abstract:: This thesis proposes an approximate maximum likelihood estimator and likelihood ratio test for parameters in a generalized linear model when two or more random effects are present. Substantial progress in parameter estimation for such models has been made with methods involving generalized least squares based on the approximate marginal mean...
Resource Type:: Dissertation
Full Text:: degree of Doctor of Philosophy in Statistics presented on November 29, 1994. Title: The Laplace

An empirical evaluation of parameter approximation methods for phase-type distributions

Creator:: Lang, Andreas
Resource Type:: Dissertation
Full Text:: of Doctor of Philosophy in Statistics presented on August 11, 1994. Title: An Empirical Evaluation

Extensions for paired comparisons models

Creator:: Kolsky, James D.
Abstract:: The Thurstone-Mosteller and Bradley-Terry Models are commonly used to rank items from paired comparisons experiments in which one item in each pair "wins," and to assess the importance of time-independent explanatory variables on such rankings. The first part of this thesis clarifies the use of probit and logistic regression models...
Resource Type:: Dissertation
Full Text:: Doctor of Philosophy in Statistics presented on May 3, 1996. Title: Extensions for Paired Comparisons

Model based estimation of parameters of spatial populations from probability samples

Creator:: Weaver, George W.
Abstract:: Many ecological populations can be interpreted as response surfaces; the spatial patterns of the population vary in response to changes in the spatial patterns of environmental explanatory variables. Collection of a probability sample from the population provides unbiased estimates of the population parameters using design based estimation. When information is...
Resource Type:: Dissertation
Full Text:: Philosophy in Statistics presented on October 2 1996. Title: Model Based Estimation of Parameters of

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
Full Text:: , 2010. APRROVED: Major Professor, representing of Statistics Chair of the

Semiparametric marginal and mixed models for longitudinal data

Creator:: Tsai, Guei-Feng
Abstract:: This thesis consists of three papers which investigate marginal models, nonparametric approaches, generalized mixed effects models and variance components estimation in longitudinal data analysis. In the first paper, a new marginal approach is introduced for high-dimensional cell-cycle microarray data with no replicates. There are two kinds of correlation for cell-cycle...
Resource Type:: Dissertation
Full Text:: degree of Doctor of Philosophy in Statistics presented on August 29, 2005. Title: Semiparametric

Application and computation of likelihood methods for regression with measurement error

Creator:: Higdon, Roger
Abstract:: This thesis advocates the use of maximum likelihood analysis for generalized regression models with measurement error in a single explanatory variable. This will be done first by presenting a computational algorithm and the numerical details for carrying out this algorithm on a wide variety of models. The computational methods will...
Resource Type:: Dissertation
Full Text:: Philosophy in Statistics presented on September 23 1998. Title: Application and Computation of Likelihood

Estimation of discriminant analysis error rate for high dimensional data

Creator:: Lebow, Patricia K.
Abstract:: Methodologies for data reduction, modeling, and classification of grouped response curves are explored. In particular, the thesis focuses on the analysis of a collection of highly correlated, highly dimensional response-curve data of spectral reflectance curves of wood surface features. In the analysis, questions about the application of cross-validation estimation of...
Resource Type:: Dissertation
Full Text:: Statistics presented on October 23, 1992. Title: Estimation of Discriminant Analysis Error Rate for High

A prior distribution for smooth regression

Creator:: Deaton, Leonard William
Resource Type:: Dissertation
Full Text:: DOCTOR OF PHILOSOPHY (Name) (Degree) in STATISTICS presented on 7 iT/ 7i (Major) (Date) Title: A PRIOR

Testing hypotheses using unweighted means

Creator:: Park, Byung S.
Abstract:: Testing main effects and interaction effects in factorial designs are basic content in statistics textbooks and widely used in various fields. In balanced designs there is general agreement on the appropriate main effect and interaction sums of squares and these are typically displayed in an analysis of variance (ANOVA). A...
Resource Type:: Dissertation
Full Text:: Doctor of Philosophy in Statistics presented on January 3. 2002. Title: Testing Hypotheses using

Explicit linear maximum likelihood estimation in mixed models

Creator:: Wulff, Shaun S.
Abstract:: Mixed models have been widely used to model data from experiments which have fixed and random factors. Often there is interest in the estimation of fixed effects and variance components. The likelihood procedure is a general technique that has been applied to such problems. This procedure can be computationally difficult,...
Resource Type:: Dissertation
Full Text:: AN ABSTRACT OF THE THESIS OF Shaun S. Wuiff for the degree of Doctor of Philosophy in Statistics

Factors affecting bird counts and their influence on density estimates

Creator:: McCracken, Marti L.
Abstract:: Variable area surveys are used in large geographic regions to estimate the density of birds distributed over a region. If some birds go undetected, a measure of the effective area surveyed, the amount of area occupied by the birds detected, is needed. The effective area surveyed is determined by observational,...
Resource Type:: Dissertation
Full Text:: Commencement June 1994 APPROVED: Professor of Statistics in ch e of majo Head of Department of Stati ics

Genetic variation in adaptive traits and seed transfer zones for Pseudoroegneria spicata (bluebunch wheatgrass) in the northwestern United States

Creator:: St. Clair, John Bradley, Kilkenny, Francis F., Johnson, Richard C., Shaw, Nancy L., and Weaver, George
Abstract:: A genecological approach was used to explore genetic variation in adaptive traits in Pseudoroegneria spicata, a key restoration grass, in the intermountain western United States. Common garden experiments were established at three contrasting sites with seedlings from two maternal parents from each of 114 populations along with five commercial releases...
Resource Type:: Article
Full Text:: of traits may complicate interpretations from genecology studies, multivariate statistics such as

Public land statistics 1994/1995

Creator:: United States. Bureau of Land Management
Abstract:: Gerald W. Williams Collection
Resource Type:: Book

Mapping the Global Emergence of Batrachochytrium dendrobatidis, the Amphibian Chytrid Fungus

Creator:: Olson, Deanna H., Aanensen, David M., Ronnenberg, Kathryn L., Powell, Christopher I., Walker, Susan F., Bielby, Jon, Garner, Trenton W. J., Weaver, George, The Bd Mapping Group, and Fisher, Matthew C.
Abstract:: The rapid worldwide emergence of the amphibian pathogen Batrachochytrium dendrobatidis (Bd) is having a profound negative impact on biodiversity. However, global research efforts are fragmented and an overarching synthesis of global infection data is lacking. Here, we provide results from a community tool for the compilation of worldwide Bd presence...
Resource Type:: Article
Full Text:: Kingdom, 4 Department of Statistics, Oregon State University, Corvallis, Oregon, United States of America

Differential investment in twin offspring by female pronghorns (Antilocapra americana)

Creator:: Van Vuren, Dirk H., Bray, Martin P., and Heltzel, Jeannie M.
Abstract:: Differential investment in offspring has been reported for many mammals, often in the context of the Trivers– Willard model of male-biased investment, but evidence of differential investment in pronghorns (Antilocapra americana) is largely lacking. We assessed the causes and consequences of different birth masses of littermate fawns in a pronghorn...
Resource Type:: Article
Full Text:: Antelope Refuge, P.O. Box 21, Plush, OR 97637, USA (MPB) Department of Statistics, Oregon State University

Length Bias Correction in Gene Ontology Enrichment Analysis Using Logistic Regression

Creator:: Mi, Gu, Di, Yanming, Emerson, Sarah, Cumbie, Jason S., and Chang, Jeff H.
Abstract:: When assessing differential gene expression from RNA sequencing data, commonly used statistical tests tend to have greater power to detect differential expression of genes encoding longer transcripts. This phenomenon, called "length bias", will influence subsequent analyses such as Gene Ontology enrichment analysis. In the presence of length bias, Gene Ontology...
Resource Type:: Article
Full Text:: , Jeff H. Chang2,3,4 1 Department of Statistics, Oregon State University, Corvallis, Oregon, United

Search Constraints

Search Results

Limit your search