Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 18 of 18 for “"Counting process"”.
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Funkcinių taškų analizė /
… evaluate productivity and quality of programming process only knowing how to count software size. IFPUG function point counting method is normally used in practice as it is an accurate and language-independent but it may be slow and expensive as well. After determining function point counting …
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Periodicity and ruin probabilities for compound non-homogeneous poisson processes
Compound non-homogenous Poisson processes with periodic claim intensity rates are studied in this work. A risk process related to a short term periodic environment and the periodicity for its compound claim counting process are discussed. The ruin probabilities of compound non-homogenous Poisson …
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Automatic red blood cell counting based on particle area
In medical area, red blood cell (RBC) counting and analysis contributes important information in pathological diagnosis regarding disease such as anemia and low level of hemoglobin concentration. Normally the blood sample is processed in laboratory using hematology analyzer and blood smear is …
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Investigation of the tau-leap method for stochastic simulation
… of regulatory systems and other chemical processes inside the cell, is of great interest; however, the accuracy of the tau-leap algorithm is not known. We introduce a new method that enables us to establish the accuracy of the tau-leap method effectively. Our approach takes advantage of …
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Semiparametric estimation with clustered right censored data via multivariate gaussian random fields
… correlation function. The data is analyzed using counting process and geostatistical formulation that led to a class of weighted pairwise semiparametric estimating functions. In the independence case, estimators of models unknowns are shown to be consistent and asymptotically normally distributed …
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A near-optimal wavelet-based estimation technique for video sequences
… devices, which produce data by way of a counting process, leading to noise with a Poisson distribution. Because many applications using video require data with less noise, a method of reducing the noise and estimating the original signal is desired. The method presented in this thesis …
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Estudio de mejora de los procesos de planificación de la demanda, gestión de compras y gestión de inventarios de una empresa de alimentos – año 2010
… was carried out in 2010. The supply chain macro-process was developed, which is divided into processes and sub-processes, identifying opportunities for improvement through the SCOR Model (Supply Chain Operations Reference, a management tool that aims at improving the supply chain performance and …
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Performance analysis of broadband multimedia wireless communication networks
… modeled as a 2-state Markov modulated Poisson Process (MMPP). Using the counting process of real-time traffic, the real-time packet loss probability has been evaluated at the uplink. Based on the equation governing the non-real-time packet queueing process at the epochs of the beginning of each …
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Approaches for Handling Time-Varying Covariates in Survival Models
… exogenous time-dependent covariates using the counting process formulation introduced by cite{andersen1982cox}. Andersen and Gill accounts for time varying covariates by each individual having multiple observations with the total-at-risk follow up for each individual being further divided into …
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Renegotiation based dynamic bandwidth allocation for selfsimilar VBR traffic
… energy distribution of a traffic data arrival counting process among different frequency sub-bands is considered as a traffic descriptor, and then a robust traffic rate predictor is developed by using the Haar wavelet analysis. The empirical results show that the new on-line dynamic bandwidth …
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Contributions to Semiparametric Inference to Biased-Sampled and Financial Data
… studies the use of empirical likelihood on Levy processes that are used to model the dynamics exhibited in the financial data. The second part is a study of inferential procedure for survival data collected under various biased sampling schemes in transformation and the accelerated failure time …
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Evaluating Time-varying Effect in Single-type and Multi-type Semi-parametric Recurrent Event Models
… Critical Incidents and Near Crash over time as a counting process. Recurrent event models fit the natural generation scheme of the data in this study. Four semi-parametric models are explored: Andersen-Gill model, Andersen-Gill model with stratified baseline functions, frailty model, and frailty …
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Measurement of neutron flux spectra in a Tungsten Benchmark by neutron foil activation method
… Corrections related to the neutron irradiation process and those to the sample counting process are discussed, too. The neutron fluence and its energy distribution in a tungsten benchmark, irradiated at the Frascati Neutron Generator with 14 MeV neutrons produced by the T(d, n)4He reaction, are …
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Software Reliability Models
… here is the building of Non-homogeneous Poisson Process (NHPP) model. Currently existing popular NHPP process models like Goel-Okumoto (G-O) and Yamada <em>et al</em> models suffer from the drawback that the probability density function of the inter-failure times is an improper density function. …
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Reciprocal classes of Markov processes : an approach with duality formulae
… of certain classes of stochastic processes via duality formulae. In particular we consider reciprocal processes with jumps, a subject up to now neglected in the literature. In the first part we introduce a new formulation of a characterization of processes with independent …
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Empirical Essays on Financial Economics
… return will also depend on the stochastic process assumed for the short-term interest rate as well as the initial interest rate, the time to maturity and the time between settlements. We calibrate a counting process, using historical data, for each firm. These processes represent the time …
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Confidence bands for survival curves using model assisted cox regression
The goal of this dissertation is to develop informative subject-specific simultaneous confidence bands (SCBs) for survival functions from right censored data. The approach is based on an extension of semiparametric random censorship models (SRCMs) to Cox regression, which produces reliable and more …
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Bicycle Travel, Injury Risk and Conspicuity. Application of Epidemiological Methods
… for repeated events was performed using a counting process approach and factors influencing the likelihood of experiencing crash episodes were identified. The investigations of the Taupo Bicycle Study were supplemented with analyses of national data (aggregate or de-identified) obtained …