The Role Of Rater Motivation In Personnel Selection Validation Studies,
2010
University of South Florida
The Role Of Rater Motivation In Personnel Selection Validation Studies, Dan Ispas
USF Tampa Graduate Theses and Dissertations
Personnel selection validation studies are routinely conducted in contemporary organizations for selecting and placing employees. Although numerous studies have been conducted with the goal of identifying new predictors, less research was focused on the criterion side. In the current paper, across three studies and five samples, I examined the role played by rater motivation in validation studies. I proposed that rater motivation would impact criterion-related validity of various predictors, the reliability, and the variance of performance ratings. In Study 1, these hypotheses were tested in two samples with varied operationalizations of predictors and of rater motivation. In Study 2, I …
Data Mining As Applied To The Socialsciences,
2010
Dyson College of Arts and Sciences, Pace University
Data Mining As Applied To The Socialsciences, Walter Morris
Cornerstone 3 Reports : Interdisciplinary Informatics
No abstract provided.
The Generation Of Domestic Electricity Load Profiles Through Markov Chain Modelling,
2010
Technological University Dublin
The Generation Of Domestic Electricity Load Profiles Through Markov Chain Modelling, Aidan Duffy, Fintan Mcloughlin, Michael Conlon
Conference Papers
Micro-generation technologies such as photovoltaics and micro-wind power are becoming increasing popular among homeowners, mainly a result of policy support mechanisms helping to improve cost competiveness as compared to traditional fossil fuel generation. National government strategies to reduce electricity demand generated from fossil fuels and to meet European Union 20/20 targets is driving this change. However, the real performance of these technologies in a domestic setting is not often known as high time resolution models for domestic electricity load profiles are not readily available. As a result, projections in terms of reducing electricity demand and financial paybacks for these micro-generation …
Semi-Parametric Likelihood Functions For Bivariate Survival Data,
2010
Old Dominion University
Semi-Parametric Likelihood Functions For Bivariate Survival Data, S. H. Sathish Indika
Mathematics & Statistics Theses & Dissertations
Because of the numerous applications, characterization of multivariate survival distributions is still a growing area of research. The aim of this thesis is to investigate a joint probability distribution that can be derived for modeling nonnegative related random variables. We restrict the marginals to a specified lifetime distribution, while proposing a linear relationship between them with an unknown (error) random variable that we completely characterize. The distributions are all of positive supports, but one class has a positive probability of simultaneous occurrence. In that sense, we capture the absolutely continuous case, and the Marshall-Olkin type with a positive probability of …
A Study Of Relationships Between Family Members Using Familial Correlations,
2010
Old Dominion University
A Study Of Relationships Between Family Members Using Familial Correlations, Corinne Wilson
Mathematics & Statistics Theses & Dissertations
Familial correlations measure the resemblance between family members and are used in many fields of study including epidemiology, genetics, heredity, and psychology. Here, an analysis of familial correlations where male and female children of the same family can have different correlations in the unequal family size case is presented. First, three likelihood based tests, namely the likelihood ratio test, Rao score test, and Wald test, and two more asymptotic tests which use Srivastava's estimator of the intraclass correlation coefficient are considered to test the null hypothesis of equality of the intraclass correlation coefficients when families have unequal numbers of children. …
Probabilities In Probable Cause And Beyond: Statistical Versus Concrete Harms,
2010
Cornell Law School
Probabilities In Probable Cause And Beyond: Statistical Versus Concrete Harms, Sherry F. Colb
Cornell Law Faculty Publications
No abstract provided.
Nonparametric Testing For Asymmetric Information,
2010
Singapore Management University
Nonparametric Testing For Asymmetric Information, Liangjun Su, Martin Spindler
Research Collection School Of Economics
Asymmetric information is an important phenomenon in many markets and in particular in insurance markets. Testing for asymmetric information has become a very important issue in the literature in the last two decades. Almost all testing procedures that are used in empirical studies are parametric, which may yield misleading conclusions in the case of misspecification of either functional or distributional relationships among the variables of interest. Motivated by the literature on testing conditional independence, we propose a new nonparametric test for asymmetric information which is applicable in a variety of situations. We demonstrate the test works reasonably well through Monte …
An Inferential Framework For Network Hypothesis Tests: With Applications To Biological Networks,
2010
Virginia Commonwealth University
An Inferential Framework For Network Hypothesis Tests: With Applications To Biological Networks, Phillip Yates
Theses and Dissertations
The analysis of weighted co-expression gene sets is gaining momentum in systems biology. In addition to substantial research directed toward inferring co-expression networks on the basis of microarray/high-throughput sequencing data, inferential methods are being developed to compare gene networks across one or more phenotypes. Common gene set hypothesis testing procedures are mostly confined to comparing average gene/node transcription levels between one or more groups and make limited use of additional network features, e.g., edges induced by significant partial correlations. Ignoring the gene set architecture disregards relevant network topological comparisons and can result in familiar n<
Improving Statistical Analysis Of Prospective Clinical Trials In Stem Cell Transplantation. An Inventory Of New Approaches In Survival Analysis,
2010
University of Versailles
Improving Statistical Analysis Of Prospective Clinical Trials In Stem Cell Transplantation. An Inventory Of New Approaches In Survival Analysis, Aurelien Latouche
COBRA Preprint Series
The CLINT project is an European Union funded project, run as a specific support action, under the sixth framework programme. It is a 2 year project aimed at supporting the European Group for Blood and Marrow Transplantation (EBMT) to develop its infrastructure for the conduct of trans-European clinical trials in accordance with the EU Clinical Trials Directive, and to facilitate International prospective clinical trials in stem cell transplantation. The initial task is to create an inventory of the existing biostatistical literature on new approaches to survival analyses that are not currently widely utilised. The estimation of survival endpoints is introduced, …
Estimation Of Causal Effects Of Community Based Interventions,
2010
Division of Biostatistics, University of California, Berkeley
Estimation Of Causal Effects Of Community Based Interventions, Mark J. Van Der Laan
U.C. Berkeley Division of Biostatistics Working Paper Series
Suppose one assigns two interventions to a small number K of different populations or communities, and one measures covariates and outcomes on a random sample of independent individuals from each of the K populations. We investigate the problem of identification and estimation of the causal effect of the choice of intervention assigned at the community level, and, if the intervention is time-dependent, the causal effect of the changes in the intervention at time t, on the outcome. The challenge one is confronted with is that different populations have different environmental factors and that the intervention and environment are assigned to …
Modeling Menstrual Cycle Length And Variability At The Approach Of Menopause Using Bayesian Changepoint Models,
2010
University of Michigan
Modeling Menstrual Cycle Length And Variability At The Approach Of Menopause Using Bayesian Changepoint Models, Xiaobi Huang, Michael R. Elliott, Sioban D. Harlow
The University of Michigan Department of Biostatistics Working Paper Series
As women approach menopause, the patterns of their menstruation cycle lengths change. To study these changes, we need to jointly model both the mean and variability of the cycle length. The model incorporates separate mean and variance change points for each woman and a hierarchical model to link them together, along with regression components to include predictors of menopausal onset such as age at menarche and parity. Data are from TREMIN, an ongoing 70-year old longitudinal study that has obtained menstrual calendar data of women throughout their reproductive life course. An additional complexity arises from the fact that these calendars …
Optimizing Randomized Trial Designs To Distinguish Which Subpopulations Benefit From Treatment,
2010
Johns Hopkins University
Optimizing Randomized Trial Designs To Distinguish Which Subpopulations Benefit From Treatment, Michael Rosenblum, Mark J. Van Der Laan
U.C. Berkeley Division of Biostatistics Working Paper Series
It is a challenge to evaluate experimental treatments where it is suspected that the treatment effect may only be strong for certain subpopulations, such as those having a high initial severity of disease, or those having a particular gene variant. Standard randomized controlled trials can have low power in such situations. They also are not optimized to distinguish which subpopulations benefit from a treatment. With the goal of overcoming these limitations, we consider randomized trial designs in which the criteria for patient enrollment may be changed, in a preplanned manner, based on interim analyses. Since such designs allow data-dependent changes …
Multi-State Life Tables, Equilibrium Prevalence, And Baseline Selection Bias,
2010
University of Washington
Multi-State Life Tables, Equilibrium Prevalence, And Baseline Selection Bias, Paula Diehr, David Yanez
UW Biostatistics Working Paper Series
Consider a 3-state system with one absorbing state, such as Healthy, Sick, and Dead. If the system satisfies the 1-step Markov conditions, the prevalence of the Healthy state will converge to a value that is independent of the initial distribution. This equilibrium prevalence and its variance are known under the assumption of time homogeneity, and provided reasonable estimates in the time non-homogeneous systems studied. Here, we derived the equilibrium prevalence for a system with more than three states. Under time homogeneity, the equilibrium prevalence distribution was shown to be an eigenvector of a partition of the matrix of transition probabilities. …
The Strength Of Statistical Evidence For Composite Hypotheses: Inference To The Best Explanation,
2010
Ottawa Institute of Systems Biology, Department of Biochemistry, Microbiology, and Immunology, Department of Mathematics and Statistics
The Strength Of Statistical Evidence For Composite Hypotheses: Inference To The Best Explanation, David R. Bickel
COBRA Preprint Series
A general function to quantify the weight of evidence in a sample of data for one hypothesis over another is derived from the law of likelihood and from a statistical formalization of inference to the best explanation. For a fixed parameter of interest, the resulting weight of evidence that favors one composite hypothesis over another is the likelihood ratio using the parameter value consistent with each hypothesis that maximizes the likelihood function over the parameter of interest. Since the weight of evidence is generally only known up to a nuisance parameter, it is approximated by replacing the likelihood function with …
Approximation Of Stationary Statistical Properties Of Dissipative Dynamical Systems: Time Discretization,
2010
Missouri University of Science and Technology
Approximation Of Stationary Statistical Properties Of Dissipative Dynamical Systems: Time Discretization, Xiaoming Wang
Mathematics and Statistics Faculty Research & Creative Works
We consider temporal approximation of stationary statistical properties of dissipative infinite-dimensional dynamical systems. We demonstrate that stationary statistical properties of the time discrete approximations, i.e., numerical scheme, converge to those of the underlying continuous dissipative infinite-dimensional dynamical system under three very natural assumptions as the time step approaches zero. the three conditions that are sufficient for the convergence of the stationary statistical properties are: (1) uniform dissipativity of the scheme in the sense that the union of the global attractors for the numerical approximations is pre-compact in the phase space; (2) convergence of the solutions of the numerical scheme to …
Investigating Relationships In The Flash Pilot Study For Stride,
2010
California Polytechnic State University, San Luis Obispo
Investigating Relationships In The Flash Pilot Study For Stride, Mathew R. Adams, Katrina J. Jackson, Andrew J. Zbin
Statistics
No abstract provided.
Study Questions For Actuarial Exam 2/Fm,
2010
California Polytechnic State University, San Luis Obispo
Study Questions For Actuarial Exam 2/Fm, Aaron Hardiek
Statistics
No abstract provided.
Statistical Analysis Of Texas Holdem Poker,
2010
California Polytechnic State University, San Luis Obispo
Statistical Analysis Of Texas Holdem Poker, Daniel Bragonier
Statistics
Gathered lifetime online Poker data for Mike Linn. Attempted to analyze data to obtain information to maximize profit. Techniques included Univariate Analysis, Regression analysis, Anova analysis, Logistic Regression, and outlier Analysis. After the analysis, nothing of supreme importance or sustenance was found. Encountered issues with too much power. Results lead to plenty of statistical significance, but little practical significance. Results showed that the data did not provide all the answers that were being sought after, but there was some value in examining the data in a strict statistical manner.
Manova: Type I Error Rate Analysis,
2010
California Polytechnic State University, San Luis Obispo
Manova: Type I Error Rate Analysis, Kyle Wesley Gasperik
Statistics
Multivariate analysis of variance (MANOVA) is most commonly used in the field of bio-statistics. Throughout this paper I conduct numerous simulations that help analyze how robust the MANOVA procedure is against its assumptions. Using Type I error rate as my measure of error, I used the R software to graph my results. The main assumption that is focused on is the equal covariance matrix assumption, which we introduce correlation between variables to see how well the MANOVA procedure performs. Overall, 70 simulations were ran, and 10 functions were created to perform all of the analysis.
Improving The Teaching Of Econometrics At Pace University Using Stata,
2010
Department of Economics, Dyson College, Pace University
Improving The Teaching Of Econometrics At Pace University Using Stata, Gregory Colman
Cornerstone 3 Reports : Interdisciplinary Informatics
The goal of this grant was to improve the teaching of econometrics at Pace using the computer program, Stata, the most widely-used econometrics software among applied economists.
