475 research outputs found

    Analysis of Sustainability Propensity of Bike-Sharing Customers Using Partially Ordered Sets Methodology

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    The propensity for sustainability actions and awareness among population might be driven by ad hoc policies. For example, in the transportation framework, the bike is (re)gaining popularity as a mean of transportation both convenient and environmental-prone,and consequently more and more cities around the world are developing bike-sharing systems in urban areas to let their citizens be more \u2018green\u2019. Satisfaction for bike-sharing systems could be influenced in general by how the service is managed and by users\u2019 attitudes towards sustainability:if users\u2019 participation in sustainability is high, then the level of satisfaction will increase and the service will result more successful. In this paper we analyze the connection between propensity and orientation towards sustainability and satisfaction for a particular bike-sharing system via Partially Ordered Sets based methodology

    Between theoretical and applied approach : which compromise for unit allocation in business surveys?

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    Neyman\u2019s algorithm for the allocation of sample units in business sampling can result unsatisfactory in domain analysis with imperfect frames and sectorial and/or regional data. Improved estimates can be obtained using stratified estimators combined with an optimal unit allocation. We achieve this outcome by an interdisciplinary approach which leads to a methodological improvement. Starting from Martini\u2019s approach which considers an empirical view of the statistical analysis, we propose the Robust Optimal Allocation with Uniform Stratum Threshold (ROAUST) class of stratified estimators and prove their reliability by using a simulation approach inspired by Magagnoli\u2019s work on this issue. In particular, contrary to Neyman\u2019s stratified estimator with optimal allocation and stratum threshold, our class guarantees better domain representativenes

    The ISAE manufacturing survey sample : validating the Nace Rev.2 sectorial allocation

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    After the full implementation of the new EU Standard Classification of Economic Activities (Nace Rev.2) in 2008, statistical agencies have increasingly dealt with the problem of redefining sampling designs and estimation techniques, especially in the case of stratified surveys with NACE codes as stratification variables. In light of this changes, the Italian Institute for Studies and Economic Analysis (Istituto di Studi e Analisi Economica - ISAE) is currently updating the sample design of its Business Tendency Survey (BTS). The focus of this paper is on finding a strata allocation methodology suitable to overcome the NACE Rev.2 changes. The analysis is carried out by considering two opposite needs: i) the strata allocation must retain multiple information; ii) the strata allocation must retain the optimality of the estimates. The allocation methods considered are: i) the classical Neyman x-optimal allocation, ii) the Neyman allocation used by ISAE, i.e. with direct application to areal stratification, iii) the multivariate Neyman allocation on qualitative variance according to Bethel formulation, iv) the Robust Optimal Allocation with Uniform Stratum Threshold (ROAUST). The ROAUST is a new allocation method which generates a new class of stratified estimators. Comparison among these methods is carried out via a simulation device - the Sequential Selection- Allocation (SSA). This simulation device constructs a new population list with units re-labelled within each stratum, such that the new labels corresponds to the order of selection in a SWOR resampling of the stratum units. This process is repeated a certain number N (N=1,000 in the simulation presented in this paper) of times. From this new labelled population, all the allocation algorithms can be evaluated simultaneousl

    Divide, Allocate et Impera: Comparing Allocation Strategies via Simulation

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    In stratified sampling, the problem of optimally allocating the sample size is of primary importance, especially when reliable estimates are required both for the overall population and for subdomains. To this purpose, in this paper we compare multiple standard allocation mechanisms. In particular, standard allocation methods are compared with an allocation method that has been recently adopted by the Italian National Statistical Institute: the Robust Optimal Allocation with Uniform Stratum Threshold (ROAUST) method. Standard allocation methods considered in this comparison are: (i) the optimal Neyman allocation, (ii) the multivariate Neyman allocation, (iii) the Costa allocation, (iv) the Bankier allocation, and (v) the Interior Point Non Linear Programming (IPNLP) allocation. Results show that the optimal Neyman allocation method outperforms the ROAUST method at the overall sample level, whereas the latter method performs better at the stratum level. Some results on the Nonlinear Programming method are particularly interesting

    Diamond detectors with electrodes graphitized by means of laser

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    In the last years there has been an increase of interest in diamond devices because of the promising applications in different field, such as high-energy physics, radiotherapy and biochemical applications. In particular, a new frontier is represented by the realization of full-carbon detectors characterized by graphite electrodes, which give to the devices considerable advantages like high radiation hardness, perfect mechanical adhesion and good charge collection properties. In this paper the manufacturing of full-carbon devices and their detection performances are illustrated and compared to a reference diamond detector characterized by traditional electrodes

    Measurement of the D+ and Ds+ decays into K+K-K+

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    We present the first clear observation of the doubly Cabibbo suppressed decay D+ --> K-K+K+ and the first observation of the singly Cabibbo suppressed decay Ds+ --> K-K+K+. These signals have been obtained by analyzing the high statistics sample of photoproduced charm particles of the FOCUS(E831) experiment at Fermilab. We measure the following relative branching ratios: Gamma(D+ --> K-K+K+)/Gamma(D+ --> K-pi+pi+) = (9.49 +/- 2.17(statistical) +/- 0.22(systematic))x10^-4 and Gamma(Ds+ --> K-K+K+)/Gamma(Ds+ --> K-K+pi+) = (8.95 +/- 2.12(statistical) +2.24(syst.) -2.31(syst.))x10^-3.Comment: 10 pages, 8 figure

    A Non-parametric Approach to the D+ to K*0bar mu+ nu Form Factors

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    Using a large sample of D+ -> K- pi+ mu+ nu decays collected by the FOCUS photoproduction experiment at Fermilab, we present the first measurements of the helicity basis form factors free from the assumption of spectroscopic pole dominance. We also present the first information on the form factor that controls the s-wave interference discussed in a previous paper by the FOCUS collaboration. We find reasonable agreement with the usual assumption of spectroscopic pole dominance and measured form factor ratios.Comment: 14 pages, 5 figures, and 2 tables. We updated the previous version by changing some words, removing one plot, and adding two tables. These changes are mostly stylisti

    Search for Λc+pK+π\Lambda_c^+ \to p K^+ \pi^- and Ds+K+K+πD_s^+ \to K^+ K^+ \pi^- Using Genetic Programming Event Selection

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    We apply a genetic programming technique to search for the double Cabibbo suppressed decays Λc+pK+π\Lambda_c^+ \to p K^+ \pi^- and Ds+K+K+πD_s^+ \to K^+ K^+ \pi^-. We normalize these decays to their Cabibbo favored partners and find BR(\text{BR}(\Lambda_c^+ \to p K^+ \pi^-)/BR()/\text{BR}(\Lambda_c^+ \to p K^- \pi^+)=(0.05±0.26±0.02)) = (0.05 \pm 0.26 \pm 0.02)% and BR(\text{BR}(D_s^+ \to K^+ K^+ \pi^-)/BR()/\text{BR}(D_s^+ \to K^+ K^- \pi^+)=(0.52±0.17±0.11)) = (0.52\pm 0.17\pm 0.11)% where the first errors are statistical and the second are systematic. Expressed as 90% confidence levels (CL), we find <0.46< 0.46 % and <0.78 < 0.78% respectively. This is the first successful use of genetic programming in a high energy physics data analysis.Comment: 10 page

    Measurements of Ξc+\Xi_c^{+} Branching Ratios

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    Using data collected by the fixed target Fermilab experiment FOCUS, we measure the branching ratios of the Cabibbo favored decays Ξc+Σ+Kπ+\Xi_c^+ \to \Sigma^+K^-\pi^+, Ξc+Σ+Kˉ(892)0\Xi_c^+ \to \Sigma^+ \bar{K}^{*}(892)^0, and Ξc+Λ0Kπ+π+\Xi_c^+ \to \Lambda^0K^-\pi^+\pi^+ relative to Ξc+Ξπ+π+\Xi_c^+ \to \Xi^-\pi^+\pi^+ to be 0.91±0.11±0.040.91\pm0.11\pm0.04, 0.78±0.16±0.060.78\pm0.16\pm0.06, and 0.28±0.06±0.060.28\pm0.06\pm0.06, respectively. We report the first observation of the Cabibbo suppressed decay Ξc+Σ+K+K\Xi_c^+ \to \Sigma^+K^+K^- and we measure the branching ratio relative to Ξc+Σ+Kπ+\Xi_c^+ \to \Sigma^+K^-\pi^+ to be 0.16±0.06±0.010.16\pm0.06\pm0.01. We also set 90% confidence level upper limits for Ξc+Σ+ϕ\Xi_c^+ \to \Sigma^+ \phi and Ξc+Ξ(1690)0(Σ+K)K+\Xi_c^+ \to \Xi^*(1690)^0(\Sigma^+ K^-) K^+ relative to Ξc+Σ+Kπ+\Xi_c^+ \to \Sigma^+K^-\pi^+ to be 0.12 and 0.05, respectively. We find an indication of the decays Ξc+ΩK+π+\Xi_c^+ \to \Omega^-K^{+}\pi^+ and Ξc+Σ(1385)+Kˉ0\Xi_c^+ \to \Sigma^{*}(1385)^+ \bar{K}^0 and set 90% confidence level upper limits for the branching ratios with respect to Ξc+Ξπ+π+\Xi_c^+ \to \Xi^-\pi^+\pi^+ to be 0.12 and 1.72, respectively. Finally, we determine the 90% C.L. upper limit for the resonant contribution Ξc+Ξ(1530)0π+\Xi_c^+ \to \Xi^{*}(1530)^0 \pi^+ relative to Ξc+Ξπ+π+\Xi_c^+ \to \Xi^-\pi^+\pi^+ to be 0.10.Comment: 14 pages, 8 figure

    Study of Hadronic Five-Body Decays of Charmed Mesons

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    We study the decay of D+ and Ds+ mesons into charged five body final states, and report the discovery of the decay mode D+ -> K+K-Pi+Pi+Pi-, as well as measurements of the decay modes D+ -> K-Pi+Pi+Pi+Pi-, Ds+ -> K+K-Pi+Pi+Pi-, Ds+ -> PhiPi+Pi+Pi- and D+/Ds+ -> Pi+Pi+Pi+Pi-Pi-. An analysis of the resonant substructure is also included, with evidence suggesting that both decays proceed primarily through an a1 vector resonance.Comment: 11 pages, 3 figure
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