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161 
Probabilistic activity recognition from lowlevel sensors /Yin, Jie. January 2006 (has links)
Thesis (Ph.D.)Hong Kong University of Science and Technology, 2006. / Includes bibliographical references (leaves 129141). Also available in electronic version.

162 
Probability densities and correlation functions in statistical mechanics /Shen, ChungYi. January 1968 (has links)
Thesis (Ph. D.)Oregon State University, 1968. / Typescript (photocopy). Includes bibliographical references (leaf 101). Also available on the World Wide Web.

163 
Loops and points of density in doubly stochastic measures /Shiflett, Ray Calvin. January 1968 (has links)
Thesis (Ph. D.)Oregon State University, 1968. / Typescript (photocopy). Includes bibliographical references (leaves 8788). Also available on the World Wide Web.

164 
RollerCoaster Failure Rates and Mean Residual Life FunctionsViles, Weston D. January 2008 (has links) (PDF)
No description available.

165 
Zerocrossing intervals of Gaussian and symmetric stable processesCao, Yufei January 2017 (has links)
The zerocrossing problem is the determination of the probability density function of the intervals between the successive axis crossings of a stochastic process. This thesis studies the properties of the zerocrossings of stationary processes belonging to the symmetricstable class of Gaussian and nonGaussian type, corresponding to the stability index nu=2 and 0 < nu < 2 respectively.

166 
Testing of nonunity risk ratio under inverse samplingLiao, Yijie 01 January 2006 (has links)
No description available.

167 
The impact of periodicity on the zerocrossings of random functionsWilson, Lorna Rachel Maven January 2015 (has links)
Continuous random processes are used to model a huge variety of real world phenomena. In particular, the zerocrossings of such processes find application in modelling processes of diffusion, meteorology, genetics, finance and applied probability. Understanding the zerocrossings behaviour improves prediction of phenomena initiated by a threshold crossing, as well as extremal problems where the turning points of the process are of interest. To identify the Probability Density Function (PDF) for the times between successive zerocrossings of a stochastic process is a challenging problem with a rich history. This thesis considers the effect of an oscillatory autocorrelation function on the zerocrossings of a Gaussian process. Examining statistical properties of the number of zeros in a fixed time period, it is found that increasing the rate of oscillations in the autocorrelation function results in more ‘deterministic’ realisations of the process. The random interval times between successive zeros become more regular, and the variance is reduced. Accurate calculation of the variance is achieved through analysing the correlation between intervals,which numerical simulations show can be anticorrelated or correlated, depending on the rate of oscillations in the autocorrelation function. The persistence exponent describes the tail of the interevent PDF, which is steeper where zerocrossings occur more regularly. It exhibits a complex phenomenology, strongly influenced by the oscillatory nature of the autocorrelation function. The interplay between random and deterministic components of a system governs its complexity. In an evermore complex world, the potential applications for this scale of ‘regularity’ in a random process are far reaching and powerful.

168 
An analysis of the term structure of interest rates and bond options in the South African capital marketSmit, Linda 26 August 2005 (has links)
Please read the abstract/summary in the section 00back of this document. / Thesis (PhD (Applied Mathematics))University of Pretoria, 2006. / Mathematics and Applied Mathematics / unrestricted

169 
Radiative transition probabilities between the 3p54s and 3p54p configurations of argonJacobson, Thor Victor January 1969 (has links)
The absolute transition probabilities between the 3p⁵4s and 3p⁵4p configurations of neutral argon have been measured in a three part experiment.
In the first experiment, a technique of absorption spectroscopy was used to obtain relative transition probabilities for spectral lines with a common lower level.
Secondly, relative transition probabilities were obtained for spectral lines with a common upper level by measuring the relative intensities of suitable pairs of lines in an emission experiment.
In the third experiment, the relative values were converted to absolute transition probabilities by
obtaining the lifetime of the P₁S2 transition at ʎ7503Å.
The experimental techniques used in this experiment were developed by Robinson (1966) and van Andel (1966). / Science, Faculty of / Physics and Astronomy, Department of / Graduate

170 
Dynamic Bayesian networksHorsch, Michael C. January 1990 (has links)
Given the complexity of the domains for which we would like to use computers as reasoning
engines, an automated reasoning process will often be required to perform under some state of uncertainty. Probability provides a normative theory with which uncertainty can be modelled. Without assumptions of independence from the domain, naive computations of probability are intractible. If probability theory is to be used effectively in AI applications,
the independence assumptions from the domain should be represented explicitly, and used to greatest possible advantage. One such representation is a class of mathematical structures called Bayesian networks.
This thesis presents a framework for dynamically constructing and evaluating Bayesian networks. In particular, this thesis investigates the issue of representing probabilistic knowledge which has been abstracted from particular individuals to which this knowledge
may apply, resulting in a simple representation language. This language makes the independence assumptions for a domain explicit.
A simple procedure is provided for building networks from knowledge expressed in this language. The mapping between the knowledge base and network created is precisely defined, so that the network always represents a consistent probability distribution.
Finally, this thesis investigates the issue of modifying the network after some evaluation has taken place, and several techniques for correcting the state of the resulting model are derived. / Science, Faculty of / Computer Science, Department of / Graduate

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