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Uni·Cen Documentation Report 2: Standardized Census Data Tables, Zack Taylor

UNI-CEN documentation

The Unified Infrastructure for Canadian Census Research, or UNI·CEN, is a comprehensive database of historical and contemporary Canadian aggregate Census data, digital boundary files, and ancillary material, all provided in modern data formats. The goal of the project is to liberate Canadian Census data so that it can be easily used by academic researchers, students, and the public.

The UNI·CEN Standardized Census Data Tables series contains reformatted versions of all publicly available digital Census data. This documentation report describes the data sources, tabular formats, and file types used.

Wilcoxon-Mann-Whitney Odds Ratio: A Statistical Measure For Ordinal Outcomes Such As Edss, C. W. Howard, G. Zou, S. A. Morrow, S. Fridman, J. M. Racosta

Neuroscience Institute Publications

Background: In many clinical situations, ordinal scales afford the primary method of semi-quantifying patient outcomes. In the field of multiple sclerosis, the primary ordinal scale is the Expanded Disability Status Scale. Predominant methods of ordinal scale statistical analysis provide a p-value without effect size or rely heavily on the assumption of proportionality of odds, subjecting them to lack of power and error. The Wilcoxon-Manny-Whitney Odds is a statistical method which provides significant information such as p-value, effect size, number needed to treat, confidence intervals, and is largely assumption-free. However, its utility has not been demonstrated in the field of multiple …

Uncertainties In Internal Pressure Of Oil Pipelines And Implications For The Reliability Analysis, Yue Liu

Electronic Thesis and Dissertation Repository

The internal pressure is the most important operational load for oil and gas pipelines. The maximum operating pressure (MOP) is the maximum pressure the pipeline is qualified to be operated according to a given standard. In deterministic fitness-for-service (FFS) assessment of in-service pipelines containing flaws such as corrosion defects and cracks, the remaining pressure containment capacity of the pipeline is evaluated and compared with MOP multiplied by a factor of safety to determine if immediate rehabilitation actions for the pipeline are necessary. However, the actual internal pressure of an in-service pipeline is however uncertain and fluctuates with time. Due to …

China Stroke Statistics 2019: A Wealth Of Opportunities For Stroke Prevention, J. David Spence

Department of Medicine Publications

No abstract provided.

Thermal And Electrical Behaviors Of Selected Geomaterials, Joon Kyu Lee

Electronic Thesis and Dissertation Repository

Geomaterials can be often classified into two groups: virgin geomaterials such as soil and rock, and by-product materials such as mine tailings, coal fly/bottom ash, foundry sand, kiln dust, blast furnace/steel slag, reclaimed concrete and asphalt. Studies on these materials and their mixtures have been carried out extensively for geoengineering applications, including the characterization of mechanical properties such as the strength, compressibility, compactivity and permeability, as well as mineralogical and geochemical properties. The goal of this study is to investigate the thermal and electrical properties of selected geomaterials and their mixtures for enhancement of knowledge and engineering applications. The thesis …

On Application Of Wireless Sensor Networks For Healthcare Monitoring, Elham Dolatabodi

Digitized Theses

With the recent advances in embedded systems and very low power ,wireless tech­ nologies, there has been a great interest in the development and application of a new class of distributed Wireless body area network for health monitoring.

The first part of the thesis presents a remote patient monitoring system within the scope of Body Area Network standardization. In this regime, wireless sensor networks are used to continuously acquire the patient’s Electrocardiogram signs and transmit data to the base station via IEEE.802.15. The personal Server (PS) which is responsible to provide real-time displaying, storing, and analyzing the patient’s vital signs …

Chronic Obstructive Pulmonary Disease: Longitudinal Hyperpolarized (3)He Mr Imaging, Miranda Kirby, Lindsay Mathew, Andrew Wheatley, Giles E Santyr, David G Mccormack, Grace Parraga

Medical Biophysics Publications

PURPOSE: To quantitatively evaluate a small pilot group of ex-smokers with chronic obstructive pulmonary disease (COPD) and healthy volunteers during approximately 2 years by using hyperpolarized helium 3 ((3)He) magnetic resonance (MR) imaging.

MATERIALS AND METHODS: All subjects provided written informed consent to the study protocol, which was approved by the local research ethics board and Health Canada and was compliant with the Personal Information Protection and Electronic Documents Act and HIPAA. Hyperpolarized (3)He MR imaging, hydrogen 1 MR imaging, spirometry, and plethysmography were performed in 15 ex-smokers with COPD and five healthy volunteers (with the same mean age and …

Detection And Estimation Of Boundaries In Spatial Data, Lei Xie

Digitized Theses

The objective of this thesis is to develop methodology for detecting and estimating parameter changes at unknown boundaries for regression models of spatial data. This methodology has many applications including quality control, epidemiology, pharmacology, agriculture, meteorology and geology.;Statistics are derived for testing a spatial array of observations from a regression model for no change in parameters against possible alternatives involving change of parameters at unknown boundaries based on a Bayes-type approach and a locally optimal framework. These test statistics are defined in terms of set indexed partial sums of regression residuals. Limit processes are obtained for set indexed partial sums …

A Poisson-Driven Stationary Process Model In Spectroscopy, Alfred Geoffrey Benn

Digitized Theses

A variety of physical and biological phenomena can be modeled by filtered Poisson processes, that is, by Poisson-driven stationary real-valued processes{dollar}{dollar}X(t) = \int\sbsp{lcub}0{rcub}{lcub}t{rcub}\ h(s,\tau;u)N(ds),\ t\ \in\ {lcub}\cal R{rcub},{dollar}{dollar}where {dollar}\tau{dollar} denotes an arbitrary occurrence point and u the associated mark of a marked Poisson process. In these models, that output or response process can be expressed as a sum of the individual responses to each marked occurrence point.;The present study is concerned with specific filtered Poisson process models of two biochemical spectroscopy imaging techniques, Scanning Fluorescence Correlation Spectroscopy (S-FCS) and its extension, Image Correlation Spectroscopy (ICS). These techniques are used in …

Various Distributional Results For Ratios Of Quadratic Forms With Applications To Serial Correlation, Edmund M. Rudiuk

Digitized Theses

Quadratic forms in normal vectors are central building blocks in statistics, and ratios of quadratic forms arise in a variety of contexts. They are connected, for example, to regression and analysis of variance problems associated with linear models and to correlation analysis.;The matrices of the quadratic forms may be for example positive definite, positive semidefinite or indefinite; the normal vectors may be central or noncentral, nonsingular or singular. All these cases are considered for a single quadratic form as well as for the ratio of two quadratic forms. The distributional results also apply to bilinear forms, sums of quadratic and …

Mean Likelihood Estimation And Time Series Analysis, Joseph Gilles Quenneville

Digitized Theses

In this thesis, I develop mean likelihood estimation (MeLE) and maximum likelihood estimation (MLE) for the parameters of a fractionally differenced autoregressive moving average (FARMA) model and its integrated form (IFARMA).;In chapter 1, I study the sampling distribution theory of MeLE by embedding the estimation problem into a Bayesian model.;In chapter 2, I apply MeLE and MLE to the estimation of the moving average parameter of a MA(1) model. The main result is that the MeLE has a smaller mean square error than the MLE when the moving average parameter is sufficiently inside the parameter space. I also demonstrate that …

Estimation Of The Scale Matrix Of A Multivariate T-Model, Anwarul Haque Joarder

Digitized Theses

The classical theory of Multivariate Statistical Analysis is primarily based on the multivariate normal model. However, in the recent literature several authors have made studies as to how the conclusions will be affected if the population model departs from normality. The class of elliptical models shares some intrinsic properties of the multivariate normal model and has been getting increasing attention by the researchers in the recent literature.;In the present thesis we restrict the model to a suitable multivariate t-model which belongs to the class of elliptical models and at the same time accommodates the multivariate normal model. This model has …

Integrated Stationary Time Series And Polyvariogram Methodology, Zhao-Guo Chen

Digitized Theses

A time series, {dollar}\{lcub}Z(t)\{rcub}{dollar}, is called integrated stationary if there is a non-negative integer d such that {dollar}\{lcub}W(t) = \bigtriangledown\sp{lcub}d{rcub}Z(t)\{rcub}{dollar} is second-order stationary, where {dollar}\bigtriangledown{dollar} is the backward differencing operator. A special case is the ARIMA (p,d,q) series.;By generalizing Cressie's (1988) results, the generalized and primary increment vectors of order b are defined. These vectors provide a more general way of transforming a homogeneous nonstationary series to stationarity than (repeated) simple differencing through the {dollar}\bigtriangledown\sp{lcub}d{rcub}{dollar} operator. Resulting from the increment-vector methodology are several second-order moment characterizations of an integrated stationary series: the variogram, the generalized covariance function and two types …

Predictive Inference For The Multilinear Models With Multivariate Student-T Errors, Shahjahan Khan

Digitized Theses

The prediction distributions of the future responses, conditional on the observed responses, from the multilinear models with multivariate Student-t and matrix-T errors are derived. These distributions provide the basis for the inference about the future responses. The cases of (i) dependent but uncorrelated and (ii) dependent and correlated responses are considered. The distribution of the Wishart matrix, and the prediction distribution of the regression and Wishart matrices have also been obtained for the generalized multilinear model with matrix-T errors.;For the multilinear models with first order auto-correlation, the marginal likelihood function of the auto-correlation coefficient has been obtained and used for …

Topics In Spatial Sampling And Experimental Design, Kathleen Anne Lawry

Digitized Theses

This thesis presents some new results in three areas of spatial sampling when the population units are laid out in a spatial array: sample selection or treatment assignment techniques; the study of the optimality properties of these techniques when an appropriate model is assumed on the units; and parameter estimation.;For population units arranged in rectangular layouts and in layouts where either the row or column lengths are allowed to vary, some new two dimensional circular systematic sampling methods which ensure fixed sample sizes are presented, and the inclusion probabilities for each unit in these layouts are calculated.;Chapter 3 reviews various …

Developments In Rank Correlation Procedures For Trend Detection In The Analysis Of Water Quality Parameters, Paul Dexter Valz

Digitized Theses

Algorithms for enumerating the exact null distributions of Kendall's S and Spearman's D statistics, when there are ties in one or both of the rankings, are presented. An expression, which is used to provide a simple proof of the asymptotic normality of the score S when both rankings are tied, is obtained for the cumulant generating function of S. The usefulness of an Edgeworth approximation to the null distribution of S in the general case of tied rankings is investigated and compared with the standard normal approximation.;Exact and asymptotic results are developed for the distribution of Kendall's partial rank correlation …

Change Detection For Autocorrelated Time Series, Suet Mui Tang

Digitized Theses

The objective of this thesis is to develop methodology for detecting parameter changes at unknown times in regression models with autocorrelated errors. This methodology has many applications including quality control, environmental monitoring and medical research.;Limit processes of partial sums of residuals from stationary time series are first derived, and these results are applied to obtain limit processes of partial sums of regression residuals with stationary error structure. A class of statistics based on these partial sums is proposed for detection of time series interventions occurring at unknown times. It is shown that the large sample effects of autocorrelation on change …

Semiparametric Estimation Of Single- And Multiequation Models In The Presence Of Heteroskedasticity Of Unknown Form, Jeffrey Scott Racine

Digitized Theses

This thesis considers the problem of estimation in the presence of heteroskedasticity of unknown form in both single-equation and multi-equation (seemingly unrelated regression equation) settings.;Many existing parametric regression parameter and associated covariance estimators (e.g. ordinary least squares, generalized least squares) require estimates of the unknown covariance matrix of the disturbance terms. The term "semiparametric estimator" will denote any estimator which combines both parametric and nonparametric techniques; specifically, an estimator in which the functional form of the regression function is specified by the researcher, but the form of the heteroskedasticity function is not pre-specified, rather the function is estimated using density …

Advances In Time Series Analysis With Hydrological Applications, Mosquera Carlos Jimenez

Digitized Theses

The objective of this thesis is to develop and refine statistical methods which can be used for solving a variety of challenging problems which arise in the field of stochastic hydrology and elsewhere. Four areas in stochastic hydrology where more research is required are long term memory processes and the Hurst phenomenon, seasonal geophysical processes, bootstrapping time series models and nonlinear and/or nonGaussian features present in geophysical time series.;For addressing the first problem, we study the family of fractionally differencing autoregressive and moving-average processes (FARMA). Specifically, we characterize the efficiency of the sample mean and the efficiency of ordinary least …

Properties Of Logistic Regression Models With Correlated Observations, John Joseph Koval

Digitized Theses

The correlated logistic regression model, a new model for correlated binary observations in the presence of covariates, is introduced and its relationship with other logistic models established. Comparisons are made with other models for correlated binary outcomes, particularly those that allow unit-specific covariates. A conditional model is derived and shown to be equivalent to a well-known model used in case-control studies.;Properties of several estimators of the regression parameter are investigated. Consistency of the unconditional and conditional maximum likelihood estimators is established and expressions derived for the asymptotic variance of the two estimators under the full model and also under a …

Topics In Time Series Analysis And Forecasting, Thian San Kheoh

Digitized Theses

This thesis contains new developments in various topics in time series analysis and forecasting. These topics include: model selec- tion, estimation, forecasting and diagnostic checking.;In the area of model selection, finite and large sample properties of the commonly used selection criteria, Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC), are discussed. In the finite case, the study is limited to the two sample problem. The exact probability of selection is obtained for finite samples. The risk of each criterion is evaluated in the two sample situation. Empirical evidence regarding these risks are given for autoregressive processes. The asymptotic distribution …

Residual Processes For Regression Models With Applications To Detection Of Parameter Changes At Unknown Times, Venkata Krishna Jandhyala

Digitized Theses

Statistics have been derived for detecting one-sided and two- sided parameter changes at unknown times in regression models. The statistic for detecting one-sided changes is a linear function of regression residuals whereas the statistic for detecting two-sided changes is a quadratic form in the regression residuals. Under the assumption that the regressor functions are continuously differentiable, the asymptotic distribution of the quadratic form;is shown to be that of a sum of random variables which are stochastic integrals of the form;(DIAGRAM, TABLE OR GRAPHIC OMITTED...PLEASE SEE DAI);where B(,p)(t), t (epsilon) 0,1 is the limit process for the sequence of stochastic processes …

Contemporaneous Carma Modelling With Applications, Fernando Camacho

Digitized Theses

This thesis presents a comprehensive study of the statistical properties of the contemporaneous Autoregressive Moving-Average (CARMA) model. The research results constitute a more general framework than previously available for the analysis of many actual sets of time series data. It is shown in the thesis that the joint estimation is asymptotically efficient. For the case of the CAR(1) model, asymptotic theory and small sample simulation show that the gain in efficiency over univariate estimation can be in excess of 50%. A computationally efficient procedure to obtain the joint estimation of the parameters together with a useful estimation procedure for the …

Contributions To Multivariate Analysis Based On Elliptic T Model, Brajendra Chandra Sutradhar

Digitized Theses

Theoretical developments in multivariate analysis are primarily based on the assumption of multivariate normality and very little is known for other cases. The aim of the present work is to generalize results of multivariate analysis based on a class of elliptic distributions, more specifically the subclass of the multivariate t-distributions with suitable parameters, rather than the usual normality assumption. The multivariate normal distribution belongs to the class of elliptic as well as the subclass of t-distribution.;The major contributions of the thesis are: (a) An elliptic set-up for uncorrelated samples is proposed. (b) The distributions of sample mean and covariance matrix …

Generalised Structural Distribution, Prediction Distribution And Related Topics, Vee Ming Ng

Digitized Theses

No abstract provided.

Asymptotic Distribution Of Quantiles From Multivariate Population, Kee Sin Kuan

Digitized Theses

No abstract provided.

Contributions To The Asymptotically Best Linear-Estimates Based On Selected Order-Statistics, Smiley Wei-Hsiao Cheng

Digitized Theses

No abstract provided.

On Student's T-Test Based On Truncated Normal Distribution, Gopal Kumar Mukherjee

Digitized Theses

No abstract provided.