24 research outputs found

    Μελέτη χρόνων διακοπής μέσω της ταυτότητας του Wald και εφαρμογές.

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    Κύρια επιδίωξη της εργασίας αυτής είναι η επισκόπηση (θεωρητική παρουσίαση και εφαρμογή) μεθόδων προσδιορισμού της κατανομής ενός χρόνου διακοπής ή ενός αθροίσματος διακοπής μέσω μιας γενικής μορφής της ταυτότητας του Wald που βασίζεται σε κατάλληλη αλλαγή του μέτρου πιθανότητας. Αρχικά θα πραγματοποιηθεί μια παρουσίαση βασικών εννοιών πιθανοτήτων και στοχαστικών ανελίξεων που είναι απαραίτητες για την διατύπωση των κυρίων αποτελεσμάτων, όπως π.χ. martingales, χρόνοι διακοπής, αλλαγή μέτρου πιθανότητας κλπ. Στο κύριο μέρος της εργασίας θα μελετηθούν συγκεκριμένες εφαρμογές χρόνων διακοπής και αθροισμάτων διακοπής σε διάφορες ερευνητικές περιοχές όπως π.χ. στην θεωρία χρεοκοπίας (χρόνος μέχρι την χρεοκοπία), θεωρία αξιοπιστίας (χρόνος μέχρι την αποτυχία ενός συστήματος), θεωρία ροών επιτυχιών και στατιστικών συναρτήσεων σάρωσης (χρόνος μέχρι την εμφάνιση συγκεκριμένων σχηματισμών αποτελεσμάτων) και γενικότερα χρόνοι εξόδου μιας στοχαστικής διαδικασίας από κατάλληλο σύνολο.The main aim of this work is the overview (theoretical presentation and methods for determining the distribution of a stopping time or a stop sum through a general form of Wald identity that is based on an appropriate change of probability measure. Initially, there will be a presentation of basic concepts of probabilities and stochastic process which are necessary for the formulation of the main results, such as e.g. martingales, stopping times, change of probability measure etc. In its main part specific applications of stopping times and stop sums in various research areas such as e.g. in ruin theory (time until ruin occurs), theory of reliability (time to failure of a system), runs and scans statistics theory (time until the appearance of specific pattern) and more generally exit times of a stochastic process from an appropriate set

    Untangling hotel industry’s inefficiency: An SFA approach applied to a renowned Portuguese hotel chain

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    The present paper explores the technical efficiency of four hotels from Teixeira Duarte Group - a renowned Portuguese hotel chain. An efficiency ranking is established from these four hotel units located in Portugal using Stochastic Frontier Analysis. This methodology allows to discriminate between measurement error and systematic inefficiencies in the estimation process enabling to investigate the main inefficiency causes. Several suggestions concerning efficiency improvement are undertaken for each hotel studied.info:eu-repo/semantics/publishedVersio

    A comparison of the CAR and DAGAR spatial random effects models with an application to diabetics rate estimation in Belgium

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    When hierarchically modelling an epidemiological phenomenon on a finite collection of sites in space, one must always take a latent spatial effect into account in order to capture the correlation structure that links the phenomenon to the territory. In this work, we compare two autoregressive spatial models that can be used for this purpose: the classical CAR model and the more recent DAGAR model. Differently from the former, the latter has a desirable property: its ρ parameter can be naturally interpreted as the average neighbor pair correlation and, in addition, this parameter can be directly estimated when the effect is modelled using a DAGAR rather than a CAR structure. As an application, we model the diabetics rate in Belgium in 2014 and show the adequacy of these models in predicting the response variable when no covariates are available

    A Statistical Approach to the Alignment of fMRI Data

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    Multi-subject functional Magnetic Resonance Image studies are critical. The anatomical and functional structure varies across subjects, so the image alignment is necessary. We define a probabilistic model to describe functional alignment. Imposing a prior distribution, as the matrix Fisher Von Mises distribution, of the orthogonal transformation parameter, the anatomical information is embedded in the estimation of the parameters, i.e., penalizing the combination of spatially distant voxels. Real applications show an improvement in the classification and interpretability of the results compared to various functional alignment methods

    Fuzzy EOQ Model with Trapezoidal and Triangular Functions Using Partial Backorder

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    EOQ fuzzy model is EOQ model that can estimate the cost from existing information. Using trapezoid fuzzy functions can estimate the costs of existing and trapezoid membership functions has some points that have a value of membership . TR ̃C value results of trapezoid fuzzy will be higher than usual TRC value results of EOQ model . This paper aims to determine the optimal amount of inventory in the company, namely optimal Q and optimal V, using the model of partial backorder will be known optimal Q and V for the optimal number of units each time a message . EOQ model effect on inventory very closely by using EOQ fuzzy model with triangular and trapezoid membership functions with partial backorder. Optimal Q and optimal V values for the optimal fuzzy models will have an increase due to the use of trapezoid and triangular membership functions that have a different value depending on the requirements of each membership function value. Therefore, by using a fuzzy model can solve the company's problems in estimating the costs for the next term

    Markovian-based clustering of internet addiction trajectories

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    A hidden Markov clustering procedure is applied to a sample of n=185 longitudinal Internet Addiction Test trajectories collected in Switzerland. The best solution has 4 groups. This solution is related to the level of emotional wellbeing of the subjects, but no relation is observed with age, gender and BMI
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