Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Applied Statistics (89)
- Statistical Theory (87)
- Social and Behavioral Sciences (86)
- Biostatistics (50)
- Mathematics (37)
-
- Statistical Methodology (24)
- Statistical Models (23)
- Applied Mathematics (21)
- Design of Experiments and Sample Surveys (17)
- Medicine and Health Sciences (17)
- Life Sciences (16)
- Business (13)
- Public Health (11)
- Engineering (10)
- Longitudinal Data Analysis and Time Series (9)
- Microarrays (9)
- Probability (9)
- Bioinformatics (8)
- Clinical Trials (7)
- Genetics and Genomics (7)
- Multivariate Analysis (7)
- Operations Research, Systems Engineering and Industrial Engineering (7)
- Categorical Data Analysis (6)
- Computational Biology (6)
- Economics (6)
- Law (6)
- Numerical Analysis and Computation (6)
- Psychology (6)
- Institution
-
- COBRA (80)
- Wayne State University (67)
- Brigham Young University (19)
- Missouri University of Science and Technology (16)
- Loma Linda University (10)
-
- Air Force Institute of Technology (9)
- World Maritime University (9)
- East Tennessee State University (8)
- Wright State University (7)
- Cornell University Law School (4)
- Old Dominion University (4)
- University of Richmond (4)
- WellBeing International (4)
- Marquette University (3)
- California Polytechnic State University, San Luis Obispo (2)
- City University of New York (CUNY) (2)
- Claremont Colleges (2)
- Cleveland State University (2)
- San Jose State University (2)
- Universitas Indonesia (2)
- University of Dayton (2)
- University of Nebraska - Lincoln (2)
- University of Nevada, Las Vegas (2)
- Virginia Commonwealth University (2)
- Western Michigan University (2)
- Aga Khan University (1)
- Australian Council for Educational Research (ACER) (1)
- Chulalongkorn University (1)
- Dartmouth College (1)
- Duke Law (1)
- Keyword
-
- Genetics (5)
- Clinical trial (4)
- Statistics (4)
- Bayesian (3)
- Bootstrap (3)
-
- Empirical legal studies (3)
- MCMC (3)
- Monte Carlo simulation (3)
- Prediction (3)
- Reliability (3)
- Sample size (3)
- Time Scale (3)
- Bootstrap method (2)
- Contract standardization (2)
- Decision making (2)
- Diagnostic test (2)
- Dynamic Equation (2)
- Estimation (2)
- Gene expression (2)
- Hazard function (2)
- Heteroscedasticity (2)
- Humans (2)
- Kurtosis (2)
- Logistic regression (2)
- Maximum likelihood (2)
- Microarrays (2)
- Mixed model (2)
- Model selection (2)
- Monte Carlo Simulation (2)
- Nonparametric (2)
- Publication
-
- Journal of Modern Applied Statistical Methods (64)
- Theses and Dissertations (28)
- Johns Hopkins University, Dept. of Biostatistics Working Papers (18)
- UW Biostatistics Working Paper Series (17)
- COBRA Preprint Series (14)
-
- Mathematics and Statistics Faculty Research & Creative Works (14)
- U.C. Berkeley Division of Biostatistics Working Paper Series (12)
- Harvard University Biostatistics Working Paper Series (11)
- Loma Linda University Electronic Theses, Dissertations & Projects (10)
- World Maritime University Dissertations (9)
- Electronic Theses and Dissertations (8)
- Mathematics and Statistics Faculty Publications (6)
- Cornell Law Faculty Publications (4)
- Faculty Publications (4)
- The University of Michigan Department of Biostatistics Working Paper Series (4)
- Department of Math & Statistics Faculty Publications (3)
- Experimentation Collection (3)
- Mathematics, Statistics and Computer Science Faculty Research and Publications (3)
- All Maxine Goodman Levin School of Urban Affairs Publications (2)
- Dissertations (2)
- Engineering Management & Systems Engineering Theses & Dissertations (2)
- Engineering Management and Systems Engineering Faculty Research & Creative Works (2)
- Kesmas (2)
- Mathematics & Statistics Theses & Dissertations (2)
- Mathematics Faculty Publications (2)
- Mathematics Faculty Research Publications (2)
- Memorial Sloan-Kettering Cancer Center, Dept. of Epidemiology & Biostatistics Working Paper Series (2)
- Publications and Research (2)
- Reactor Campaign (TRP) (2)
- Statistics (2)
- Publication Type
Articles 271 - 285 of 285
Full-Text Articles in Statistics and Probability
Brief Description And Analysis Of The Census Bureau's 2006 Population Estimates For Incorporated Places For Cleveland And Other Ohio Cities, Mark Salling
All Maxine Goodman Levin School of Urban Affairs Publications
No abstract provided.
Degradation Models And Implied Lifetime Distributions, Suk Joo Bae, Way Kuo, Paul H. Kvam
Degradation Models And Implied Lifetime Distributions, Suk Joo Bae, Way Kuo, Paul H. Kvam
Department of Math & Statistics Faculty Publications
In experiments where failure times are sparse, degradation analysis is useful for the analysis of failure time distributions in reliability studies. This research investigates the link between a practitioner's selected degradation model and the resulting lifetime model. Simple additive and multiplicative models with single random effects are featured. Results show that seemingly innocuous assumptions of the degradation path create surprising restrictions on the lifetime distribution. These constraints are described in terms of failure rate and distribution classes.
Statistical Models For Hot Electron Degradation In Nano-Scaled Mosfet Devices, Suk Joo Bae, Seong-Joon Kim, Way Kuo, Paul H. Kvam
Statistical Models For Hot Electron Degradation In Nano-Scaled Mosfet Devices, Suk Joo Bae, Seong-Joon Kim, Way Kuo, Paul H. Kvam
Department of Math & Statistics Faculty Publications
In a MOS structure, the generation of hot carrier interface states is a critical feature of the item's reliability. On the nano-scale, there are problems with degradation in transconductance, shift in threshold voltage, and decrease in drain current capability. Quantum mechanics has been used to relate this decrease to degradation, and device failure. Although the lifetime, and degradation of a device are typically used to characterize its reliability, in this paper we model the distribution of hot-electron activation energies, which has appeal because it exhibits a two-point discrete mixture of logistic distributions. The logistic mixture presents computational problems that are …
An Eye-Opening Approach To Developing And Communicating Integrated Environmental Assessments, Todd R. Lookingbill, William C. Dennison, Tim J.B. Carruthers, Jane M. Hawkey, Shawn L. Carter
An Eye-Opening Approach To Developing And Communicating Integrated Environmental Assessments, Todd R. Lookingbill, William C. Dennison, Tim J.B. Carruthers, Jane M. Hawkey, Shawn L. Carter
Geography and the Environment Faculty Publications
Communication among managers, the public, and scientists is the key to successful ecosystem management; however, the varied perspectives and interests of these groups can make such communication difficult. One way to achieve effective communication is to develop a common knowledge base by combining syntheses of key scientific results with information-rich visual elements. Within a management landscape, integrated environmental assessments provide a useful framework for evaluating resources and directing management efforts. The integrated assessment process involves (1) initial investigation, (2) development of a conceptual framework, (3) data navigation, (4) environmental report cards, and (5) science communication. Each step requires the synthesis …
Lessons Learned From The 1918-1919 Influenza Pandemic In Minneapolis And St. Paul, Minnesota, Miles Q. Ott, Shelly F. Shaw, Richard N. Danila, Ruth Lynfield
Lessons Learned From The 1918-1919 Influenza Pandemic In Minneapolis And St. Paul, Minnesota, Miles Q. Ott, Shelly F. Shaw, Richard N. Danila, Ruth Lynfield
Statistical and Data Sciences: Faculty Publications
No abstract provided.
The Flight From Arbitration: An Empirical Study Of Ex Ante Arbitration Clauses In The Contracts Of Publicly Held Companies, Theodore Eisenberg, Geoffrey P. Miller
The Flight From Arbitration: An Empirical Study Of Ex Ante Arbitration Clauses In The Contracts Of Publicly Held Companies, Theodore Eisenberg, Geoffrey P. Miller
Cornell Law Faculty Publications
Informed parties bargaining for their mutual advantage will tend to agree to provisions that maximize the social surplus. Such bargaining includes provisions regarding the resolution of disputes that might arise under the contract. Thus, if a form of alternative dispute resolution, such as binding arbitration, provides greater social benefits than litigation, the dynamics of the process should tend to induce the parties to include a clause submitting future disputes to arbitration. This Article studies the actual contracting practices of large, sophisticated actors with respect to arbitration clauses. We examined over 2800 contracts, filed with the Securities Exchange Commission (SEC) in …
Effective Use Of Process Capability Indices For Supplier Management, Elizabeth A. Cudney, David Drain
Effective Use Of Process Capability Indices For Supplier Management, Elizabeth A. Cudney, David Drain
Engineering Management and Systems Engineering Faculty Research & Creative Works
Process capability indices were originally invented to enable an organization to make economically sound decisions for process management. Process capability is a comparison of the voice of the process with the voice of the customer. Current practice is to use Cp and Cpk regardless of the validity of the underlying assumptions necessary for their use. Even if all necessary assumptions are satisfied, important problems can be missed if these indices are the sole process evaluation examined. Customer-supplier axioms are introduced to motivate more useful process evaluations and foster long-term harmonious relationships. This paper explores the alternative capability indices Cpm, Cpmk, …
Hierarchical Linear Modeling In Organizational Research: Longitudinal Data Outside The Context Of Growth Modeling, Irvin Sam Schonfeld, David Rindskopf
Hierarchical Linear Modeling In Organizational Research: Longitudinal Data Outside The Context Of Growth Modeling, Irvin Sam Schonfeld, David Rindskopf
Publications and Research
Organizational researchers, including those carrying out occupational stress research, often conduct longitudinal studies. Hierarchical linear modeling (HLM; also known as multilevel modeling and random regression) can efficiently organize analyses of longitudinal data by including within- and between-person levels of analysis. A great deal of longitudinal research has been conducted in the context of growth studies in which change in the dependent variable is examined in relation to the passage of time. HLM can treat longitudinal data, including data outside the context of the growth study, as nested data, reducing the problem of censoring. Within-person equation coefficients can represent the impact …
Comment: Boosting Algorithms: Regularization, Prediction And Model Fitting, A. Buja, David Mease, A. Wyner
Comment: Boosting Algorithms: Regularization, Prediction And Model Fitting, A. Buja, David Mease, A. Wyner
Faculty Publications
The authors are doing the readers of Statistical Science a true service with a well-written and up-to-date overview of boosting that originated with the seminal algorithms of Freund and Schapire. Equally, we are grateful for high-level software that will permit a larger readership to experiment with, or simply apply, boosting-inspired model fitting. The authors show us a world of methodology that illustrates how a fundamental innovation can penetrate every nook and cranny of statistical thinking and practice. They introduce the reader to one particular interpretation of boosting and then give a display of its potential with extensions from classification (where …
An Adaptive Dose Finding Design (Dosefind) Using A Nonlinear Dose Response Model, James Michael Davenport
An Adaptive Dose Finding Design (Dosefind) Using A Nonlinear Dose Response Model, James Michael Davenport
Theses and Dissertations
First-in-man (FIM) Phase I clinical trials are part of the critical path in the development of a new compound entity (NCE). Since FIM clinical trials are the first time that an NCE is dosed in human subjects, the designs used in these trials are unique and geared toward patient safety. We develop a method for obtaining the desired response using an adaptive non-linear approach. This method is applicable for studies in which MTD, NOEL,NOAEL, PK, PD effects or other such endpoints are evaluated to determine the desired dose. The method has application whenever a measurable PD marker is an indicator …
Phase Ii Trials Powered To Detect Activity In Tumor Subsets With Retrospective (Or Prospective) Use Of Predictive Markers, Grishma S. Sheth
Phase Ii Trials Powered To Detect Activity In Tumor Subsets With Retrospective (Or Prospective) Use Of Predictive Markers, Grishma S. Sheth
Theses and Dissertations
Classical phase II trial designs assume a patient population with a homogeneous tumor type and yield an estimate of a stochastic probability of tumor response. Clinically, however, oncology is moving towards identifying patients who are likely to respond to therapy using tumor subtyping based upon predictive markers. Such designs are called targeted designs (Simon, 2004). For a given phase I1 trial predictive markers may be defined prospectively (on the basis of previous results) or identified retrospectively on the basis of analysis of responding and non-responding tumors. For the prospective case we propose two Phase I1 targeted designs in which a) …
Diffusion And Fractional Diffusion Based Models For Multiple Light Scattering And Image Analysis, Jonathan Blackledge
Diffusion And Fractional Diffusion Based Models For Multiple Light Scattering And Image Analysis, Jonathan Blackledge
Articles
This paper considers a fractional light diffusion model as an approach to characterizing the case when intermediate scattering processes are present, i.e. the scattering regime is neither strong nor weak. In order to introduce the basis for this approach, we revisit the elements of formal scattering theory and the classical diffusion problem in terms of solutions to the inhomogeneous wave and diffusion equations respectively. We then address the significance of these equations in terms of a random walk model for multiple scattering. This leads to the proposition of a fractional diffusion equation for modelling intermediate strength scattering that is based …
The Latino Caregiver Experience Among Dementia And Non-Dementia Caregivers : Can Community Based Care Management Improve Caregiver Health?, Catherine Oliveros
The Latino Caregiver Experience Among Dementia And Non-Dementia Caregivers : Can Community Based Care Management Improve Caregiver Health?, Catherine Oliveros
Loma Linda University Electronic Theses, Dissertations & Projects
Purpose: This study provides an analysis of the Latino caregiving community in Southeast Texas and the role community based care management plays in influencing caregiver physical and emotional well-being. Design and Methods: A non-random sample of 63 Latino caregivers was interviewed by phone. Caregiver physical and emotional well-being was studied through burden, depression, perceived health status, and resourcefulness. Regression, correlation, and comparison analysis was performed with key variables. Results: Acculturation was positively correlated with care management use. In comparing dementia and non-dementia caregivers both groups had similar levels of depression and burden, however, the dementia group had significantly lower levels …
Modeling And Efficient Estimation Of Intra-Family Correlations, Roy Sabo
Modeling And Efficient Estimation Of Intra-Family Correlations, Roy Sabo
Mathematics & Statistics Theses & Dissertations
Familial data occur when observations are taken on multiple members of the same family. Due to relationships between these members, both genetic and by cohabitation, their response variables will likely exhibit some form of dependence. Most of the existing literature models this dependence with an equicorrelated structure. This structure is appropriate when the dependencies between family members are similar, such as in genetic studies, but not in cases where we expect the dependencies to differ, such as behavioral comparisons across different age groups. In this dissertation we first discuss an alternative structure based upon first-order autoregressive correlation. Specifically we create …
First Passage Time Problem For Multivariate Jump-Diffusion Processes: Models, Computation, And Applications In Finance, Di Zhang
Theses and Dissertations (Comprehensive)
The first passage time (FPT) problems are ubiquitous in many applications, from physics to finance. Mathematically, such problems are often reduced to the evaluation of the probability density of the time for a process to cross a certain level, a boundary, or to enter a certain region. While in other areas of applications the FPT problems can often be solved analytically, in finance we usually have to resort to the application of numerical procedures, in particular when we deal with jump-diffusion stochastic processes (JDP). The application of the conventional Monte-Carlo procedure is possible for the solution of the resulting model, …