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61 
Incorporating animal movement into circular plot and point transect surveys of wildlife abundanceGonzález, Rocío Prieto January 2018 (has links)
Estimating wildlife abundance is fundamental for its effective management and conservation. A range of methods exist: total counts, plot sampling, distance sampling and capturerecapture based approaches. Methods have assumptions and their failure can lead to substantial bias. Current research in the field is focused not on establishing new methods but in extending existing methods to deal with their assumptions' violation. This thesis focus on incorporating animal movement into circular plot sampling (CPS) and point transect sampling (PTS), where a key assumption is that animals do not move while within detection range, i.e., the survey is a snapshot in time. While targeting this goal, we found some unexpected bias in PTS when animals were still and model selection was used to choose among different candidate models for the detection function (the model describing how detectability changes with observeranimal distance). Using a simulation study, we found that, although PTS estimators are asymptotically unbiased, for the recommended sample sizes the bias depended on the form of the true detection function. We then extended the simulation study to include animal movement, and found this led to further bias in CPS and PTS. We present novel methods that incorporate animal movement with constant speed into estimates of abundance. First, in CPS, we present an analytic expression to correct for the bias given linear movement. When movement is de ned by a diffusion process, a simulation based approach, modelling the probability of animal presence in the circular plot, results in less than 3% bias in the abundance estimates. For PTS we introduce an estimator composed of two linked submodels: the movement (animals moving linearly) and the detection model. The performance of the proposed method is assessed via simulation. Despite being biased, the new estimator yields improved results compared to ignoring animal movement using conventional PTS.

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Inference for plantcaptureAshbridge, Jonathan January 1998 (has links)
When investigating the dynamics of an animal population, a primary objective is to obtain reasonable estimates of abundance or population size. This thesis concentrates on the problem of obtaining point estimates of abundance from capturerecapture data and on how such estimation can be improved by using the method of plantcapture. Plantcapture constitutes a natural generalisation of capturerecapture. In a plantcapture study a premarked population of known size is added to the target population of unknown size. The capturerecapture experiment is then carried out on the augmented population. Chapter 1 considers the addition of planted individuals to target populations which behave according to the standard capturerecapture model M0. Chapter 2 investigates an analogous model based on sampling in continuous time. In each of these chapters, distributional results are derived under the assumption that the behaviour of the plants is indistinguishable from that of members of the target population. Maximum likelihood estimators and other new estimators are proposed for each model. The results suggest that the use of plants is beneficial, and furthermore that the new estimators perform more satisfactorily than the maximum likelihood estimators. Chapter 3 introduces, initially in the absence of plants, a new class of estimators, described as coverage adjusted estimators, for the standard capturerecapture model M[sub]h. These new estimators are shown, through simulation and real life data, to compare favourably with estimators that have previously been proposed. Plantcapture versions of these new estimators are then derived and the usefulness of the plants is demonstrated through simulation. Chapter 4 describes how the approach taken in chapter 3 can be modified to produce a new estimator for the analogous continuous time model. This estimator is then shown through simulation to be preferable to estimators that have previously been proposed.

63 
Testing of nonunity risk ratio under inverse samplingLiao, Yijie 01 January 2006 (has links)
No description available.

64 
Systems for the selection of truly random samples from tree populations and extension of variable plot sampling to the third dimensionIles, Kimberley January 1979 (has links)
Means of drawing truly random samples from populations of trees distributed nonrandomly in a plane are practically unknown. Only the technique of numbering all items and drawing from a list is commonly suggested. Two other techniques are developed, reducing plot size and selecting from a cluster with probability (1/M) where M is larger than the cluster size. The exact bias from some other selection schemes is shown by the construction of "preference maps". Methods of weighting the selection by tree height, diameter, basal area, gross volume, vertical crosssectional area and combinations of diameter and basal area are described. None of them require actual measurement of the tree parameters. Mechanical devices and field techniques are described which simplify field application. The use of projected angles, such as are used in Variable Plot Sampling is central to most of these methods.
Critical Height Sampling Theory is developed as a generalization of Variable Plot Sampling. The field problem is simply to measure the height to where a sighted tree is "borderline" with a relaskop. The average sum of these "critical heights" at a point multiplied by the Basal Area Factor of a prism gives a direct estimate of stand volume without the aid of volume tables or tree measurements. Approximation techniques which have the geometrical effect of changing the expanded tree shape are described. The statistical advantages of using the
system were not found to be large, and the problems of measuring the critical height on nearby trees was severe. In general use there appears to be no advantage over standard techniques of Variable Plot Sampling, however in situations where no volume tables exist it may have application, and the problem of steep measurements angles to nearby trees can be overcome by using an optical caliper. The system can also overcome the problem of "ongrowth" for permanent sample plots. / Forestry, Faculty of / Graduate

65 
Admissable and minimax procedures in statistical estimationUnknown Date (has links)
"The purpose of this paper is to present two methods for proving that a statistical estimate is admissible and minimax. The Bayes method was introduced by Wald, and Theorems 2.2 and 2.3 illustrate the technique. The second way is due to Hodges and Lehmann and is based on a lower bound for the variance of an estimate. In Theorem 3.2 the HodgesLehmann method for proving admissibility is given. The last chapter is devoted to an extension of the Hodges and Lehmann technique to the Bhattacharyya bounds"Introduction. / "August, 1954." / Typescript. / "Submitted to the Graduate Council of Florida State University in partial fulfillment of the requirements for the degree of Master of Science." / Advisor: A. V. Fend, Professor Directing Paper. / Includes bibliographical references (leaves 4445).

66 
On multiple correlation and its generalizationsSampson, George Theodore. January 1983 (has links)
No description available.

67 
The analysis of outliers /Norris, Douglas Arnold. January 1969 (has links)
No description available.

68 
A comparison of methods for the measurement of rates of disfluent behavior of stutterersFrantz, Doreen. January 1979 (has links)
Call number: LD2668 .T4 1979 F73 / Master of Arts

69 
Exact conditional tests under inverse sampling.January 2005 (has links)
Chan For Yee. / Thesis (M.Phil.)Chinese University of Hong Kong, 2005. / Includes bibliographical references (leaves 8890). / Abstracts in English and Chinese. / Abstract  p.i / Acknowledgement  p.iv / Chapter 1  Introduction  p.1 / Chapter 2  Basic Concepts  p.6 / Chapter 2.1  Binomial vs Inverse Sampling  p.6 / Chapter 2.2  Equivalence / Noninferiority Test  p.7 / Chapter 3  Testing Procedures  p.9 / Chapter 3.1  The Model  p.9 / Chapter 3.2  Asymptotic Behaviors of the Estimators  p.10 / Chapter 3.2.1  Asymptotic Test Statistic based on Unconditional Maximum Likelihood Estimate  p.12 / Chapter 3.2.2  Asymptotic Test Statistic based on restricted maximum likelihood estimate  p.13 / Chapter 3.3  Conditional Exact Procedures  p.16 / Chapter 3.3.1  Nonteststatisticbased procedure  p.17 / Chapter 3.3.2  Teststatisticbased procedure  p.17 / Chapter 4  Simulation Study  p.19 / Chapter 4.1  Simulation Results  Type I error rate  p.21 / Chapter 4.1.1  Asymptotic Test Statistic based on Unconditional MLE . .  p.21 / Chapter 4.1.2  Asymptotic Test Statistic based on Restricted MLE . . . .  p.22 / Chapter 4.1.3  Nonteststatisticbased Conditional Exact Test  p.23 / Chapter 4.1.4  Teststatisticbased Conditional Exact Test  p.24 / Chapter 4.2  Simulation Results  Power  p.25 / Chapter 4.2.1  Asymptotic Tests  Similarity and Difference between using Unconditional and Restricted MLE  p.25 / Chapter 4.2.2  Conditional Exact Tests  Similarity and Difference be tween using Nonteststatisticbased and Teststatisticbased Procedures  p.30 / Chapter 4.2.3  Teststatisticbased Conditional Exact Tests  Similarity and Difference between using Unconditional and Restricted MLE  p.31 / Chapter 5  Conclusion  p.32 / Appendices  p.36 / Chapter A.  Simulation Result  Type I error rate  p.36 / Chapter B.  Simulation Result  Power value  p.42 / Bibliography  p.88

70 
Reliable techniques for survey with sensitive questionWu, Qin 01 January 2013 (has links)
No description available.

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