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21 
Confidence intervals for the risk ratio under inverse sampling.January 2005 (has links)
Ip Wing Yiu. / Thesis (M.Phil.)Chinese University of Hong Kong, 2005. / Includes bibliographical references (leaf 44). / Abstracts in English and Chinese. / Chapter 1  Introduction  p.1 / Chapter 1.1  Introduction  p.1 / Chapter 1.2  Background  p.1 / Chapter 1.3  Objective  p.3 / Chapter 1.4  Scope of the thesis  p.3 / Chapter 2  Basic Concepts  p.5 / Chapter 2.1  Inverse Sampling  p.5 / Chapter 2.2  Equivalence/ Noninferiority Testing  p.6 / Chapter 3  Inference for Risk Ratio  p.8 / Chapter 3.1  Introduction  p.8 / Chapter 3.2  Test Statistics for Risk Ratio  p.8 / Chapter 3.3  Consistent Estimators of π  p.12 / Chapter 4  Confidence Interval  p.16 / Chapter 4.1  Introduction  p.16 / Chapter 4.2  TostBased Confidence Interval  p.17 / Chapter 4.3  Using samplebased estimates  p.18 / Chapter 5  Simulation  p.21 / Chapter 5.1  Introduction  p.21 / Chapter 5.2  Simulation Procedures  p.21 / Chapter 5.3  Simulation Results  p.23 / Chapter 6  Conclusion  p.27 / Appendix  p.29 / Chapter A.  Equation derviation  p.29 / Chapter A1.  Equation derviation 1  p.29 / Chapter A2.  Equation derviation 2  p.31 / Chapter B.  Table  p.32 / References  p.44

22 
Estimation and prediction of black fly abundance and productivityMorin, Antoine January 1987 (has links)
No description available.

23 
Estimating absenceKincaid, Thomas M. 25 November 1997 (has links)
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 in the finite set of objects given absence of the class in the sample
is either exactly or approximately equal to the probability of observing a specific single
object from the class of objects given the protocol for observation, where probability is
interpreted as a degree of belief. Regarding absence in relation to a threshold, we
develop a new estimator of the upper confidence bound for the finite population
distribution function evaluated at the threshold and investigate its properties for a set of
finite populations. In addition we show that estimation regarding the initial ordered value
in the finite population has limited usefulness. / Graduation date: 1998

24 
On extension of the generalized sampling theorem /Jerri, Abdul J., January 1967 (has links)
Thesis (Ph. D.)Oregon State University, 1967. / Typescript (photocopy). Includes bibliographical references (p. 8993). Also available on the World Wide Web.

25 
Improving precision in multiple covariate distance sampling : a case study with whales in Alaska /Zerbini, Alexandre N. January 2006 (has links)
Thesis (Ph. D.)University of Washington, 2006. / Vita. Includes bibliographical references (leaves 157172).

26 
Post stratified estimation using a known auxiliary variableBedier, Mostafa Abdellatif 18 September 1989 (has links)
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 mean when there is a known auxiliary variable for each
population unit.
The primary direction of the thesis follows the lines of Holt and
Smith (1979). A method is given for using the auxiliary variable in selection
of the stratum boundaries and, using this approach to determine strata, to
compare post stratified estimates with the self weighting estimates from
the analytical and empirical points of view. Estimates studied are: the post
stratified mean, the post stratified combined ratio, and the post stratified
separate ratio. The thesis contains simulation results that explore the
distributions of the self weighting estimates, and the post stratified estimates
using conditional and unconditional inferences. The correct coverage
properties of the confidence intervals are compared and the design effect,
i.e. the ratio of the variance of the self weighting to the variance of post
stratified estimates, is calculated from the samples and its distribution
explored by the simulation study for several real and artificial
populations. The confidence intervals of post stratified estimates
using conditional variances had good coverage properties for each
sample configuration used, and hence the correct coverage property over
all possible samples provided that the Central Limit Theorem was applied.
The comparisons indicated that post stratification is an effective
approach when the boundaries are obtained based on proper stratification using
an auxiliary variable. Moreover it is more efficient than estimation based
on simple random sampling in reducing the mean squared error.
Finally, there is strong evidence that the post stratified estimates are
robust against poorly distributed samples, whereas empirical investigations
suggested that the self weighting estimates are very poor when the samples are
unbalanced. / Graduation date: 1990

27 
The designbased Empirical Orthogonal Functions model : an alternative for the analysis of spatiotemporal dataMunozHernandez, Breda 25 August 1999 (has links)
Random processes are monitored over space and time by a network of stations distributed across a spatial region. Researchers have developed several analysis techniques to model the random process. Some of them require assumptions on the spatiotemporal variability of the process. An alternative method to analyze spatiotemporal data that does not require any assumption on the variancecovariance matrix is the Empirical Orthogonal Functions (EOF) model. The spatial distribution of the network sites influences the accuracy of the prediction results obtained by the EOF model. Researchers have proposed different methods to address this problem. We propose a model, the designbased EOF model, that incorporates information on the spatiotemporal variability of the process captured by the sampling design used to establish the network. The theoretical development of the model and an application are presented. We also consider the inclusion of auxiliary information into the designbased EOF model with the purpose of interpolating the process to unvisited sites. Interpolation results from the designbased EOF model are illustrated by considering a real data set and compared to spatial interpolation results obtained by using ordinary kriging. With the desire of making the designbased EOF model accessible to those monitoring programs that did not use a sampling probability design to establish the monitoring network, we consider two approaches that provide proper weights to be used in the model. / Graduation date: 2000

28 
Statistical analysis for capturerecapture experiments in discrete timeWan, Choiying. January 2001 (has links)
Thesis (M. Phil.)University of Hong Kong, 2001. / Includes bibliographical references (leaves 6670).

29 
On some useful "inefficient" statisticsMosteller, Frederick, January 1900 (has links)
ThesisPrinceton University. / Cover title. "Reprinted from Annals of mathematical statistics, vol. XVII, no. 4, December, 1946." Bibliography: p. 408.

30 
Replicated sampling in censuses and surveys /Greenfield, C. C. January 1985 (has links)
Thesis (Ph. D.)University of Hong Kong, 1986.

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