The Experts below are selected from a list of 234 Experts worldwide ranked by ideXlab platform
Theodore Hatch - One of the best experts on this subject based on the ideXlab platform.
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Determination of “average particle size” from the screen-analysis of non-uniform particulate substances
Journal of The Franklin Institute-engineering and Applied Mathematics, 2003Co-Authors: Theodore HatchAbstract:Abstract The size distribution data obtained by screen analysis of a non-uniform substance cannot be used directly in calculating the various average diameters of the material since this method of analysis gives the distribution in terms of weight rather than count. The distribution curve by weight however bears a definite relation to the regular size-frequency curve and Suitable Transformation equations are presented by means of which one is able to calculate the various average diameters from the parameters of the curve given by the screen analysis. The screens are calibrated in terms of the actual size of the material retained rather than the dimensions of the screen openings or an arbitrary method of calculating the “size of separation.”
Adrien Richou - One of the best experts on this subject based on the ideXlab platform.
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LARGE DEVIATIONS AND CONCENTRATION INEQUALITIES FOR THE ORNSTEIN-UHLENBECK PROCESS WITHOUT TEARS
Statistics and Probability Letters, 2017Co-Authors: Bernard Bercu, Adrien RichouAbstract:Our goal is to establish large deviations and concentration inequalities for the maximum likelihood estimator of the drift parameter of the Ornstein-Uhlenbeck process without tears. We propose a new strategy to establish large deviation results which allows us, via a Suitable Transformation, to circumvent the classical difficulty of non-steepness. Our approach holds in the stable case where the process is positive recurrent as well as in the unstable and explosive cases where the process is respectively null recurrent and transient. Notwithstanding of this trichotomy, we also provide new concentration inequalities for the maximum likelihood estimator.
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Large deviations for the Ornstein-Uhlenbeck process with shift
2014Co-Authors: Bernard Bercu, Adrien RichouAbstract:We investigate the large deviation properties of the maximum likelihood estimators for the Ornstein-Uhlenbeck process with shift. We propose a new approach to establish large deviation principles which allows us, via a Suitable Transformation, to circumvent the classical non-steepness problem. We estimate simultaneously the drift and shift parameters. On the one hand, we prove a large deviation principle for the maximum likelihood estimates of the drift and shift parameters. Surprisingly, we find that the drift estimator shares the same large deviation principle as the one previously established for the Ornstein-Uhlenbeck process without shift. Sharp large deviation principles are also provided. On the other hand, we show that the maximum likelihood estimator of the shift parameter satisfies a large deviation principle with a very unusual implicit rate function.
José Luis Barredo - One of the best experts on this subject based on the ideXlab platform.
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Strain improvement for cephalosporin production by Acremonium chrysogenum using geneticin as a Suitable Transformation marker.
FEMS microbiology letters, 2004Co-Authors: Marta Rodríguez-sáiz, Marianna Lembo, Luca Bertetti, Roberto Muraca, Javier Velasco, Antonella Malcangi, Juan Luis De La Fuente, José Luis BarredoAbstract:An Acremonium chrysogenum strain improvement program based on the Transformation with cephalosporin biosynthetic genes was carried out to enhance cephalosporin C production. Best results were obtained with cefEF and cefG genes, selecting transformants with increased cephalosporin C production and lower accumulation of biosynthetic intermediates. Phleomycin resistant transformants, designated B1 and C1, showed a single copy random integration event, higher levels of cefEF transcript and, according to immunoblotting analyses, higher amounts of deacetylcephalosporin C acetyltransferase (DAC-AT) protein than their parental strains. Moreover, DAC-AT activity was higher in the transformants. Plasmids carrying geneticin resistance markers based on the nptII gene from Tn5 and the aphI gene from Tn903 were constructed to transform again B1 and C1, showing that the cassette Pgdh–nptII–trpC was able to confer geneticin resistance to A. chrysogenum and demonstrating that geneticin is a helpful selection marker.
Bernard Bercu - One of the best experts on this subject based on the ideXlab platform.
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LARGE DEVIATIONS AND CONCENTRATION INEQUALITIES FOR THE ORNSTEIN-UHLENBECK PROCESS WITHOUT TEARS
Statistics and Probability Letters, 2017Co-Authors: Bernard Bercu, Adrien RichouAbstract:Our goal is to establish large deviations and concentration inequalities for the maximum likelihood estimator of the drift parameter of the Ornstein-Uhlenbeck process without tears. We propose a new strategy to establish large deviation results which allows us, via a Suitable Transformation, to circumvent the classical difficulty of non-steepness. Our approach holds in the stable case where the process is positive recurrent as well as in the unstable and explosive cases where the process is respectively null recurrent and transient. Notwithstanding of this trichotomy, we also provide new concentration inequalities for the maximum likelihood estimator.
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Large deviations for the Ornstein-Uhlenbeck process with shift
2014Co-Authors: Bernard Bercu, Adrien RichouAbstract:We investigate the large deviation properties of the maximum likelihood estimators for the Ornstein-Uhlenbeck process with shift. We propose a new approach to establish large deviation principles which allows us, via a Suitable Transformation, to circumvent the classical non-steepness problem. We estimate simultaneously the drift and shift parameters. On the one hand, we prove a large deviation principle for the maximum likelihood estimates of the drift and shift parameters. Surprisingly, we find that the drift estimator shares the same large deviation principle as the one previously established for the Ornstein-Uhlenbeck process without shift. Sharp large deviation principles are also provided. On the other hand, we show that the maximum likelihood estimator of the shift parameter satisfies a large deviation principle with a very unusual implicit rate function.
Lin Liu - One of the best experts on this subject based on the ideXlab platform.
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MHD viscoelastic flow and heat transfer over a vertical stretching sheet with Cattaneo-Christov heat flux effects
Journal of Molecular Liquids, 2016Co-Authors: Liancun Zheng, Lin LiuAbstract:Abstract This paper presents a research for MHD (magnetohydrodynamics) viscoelastic flow and heat transfer over a vertical stretching sheet with velocity slip boundary. The Cattaneo-Christov heat flux model is introduced energy equation, which is used in formulating the relaxation framework of MHD viscoelastic flow. The highly coupled boundary layer governing equations are reduced into local similarity solutions ordinary differential equations by Suitable Transformation and then solved numerically. The effects of velocity slip number, magnetic number, Prandtl number, mixed convection parameter and relaxation time parameters on velocity and temperature fields are graphically analyzed in detail. Results indicated that the formulated models in this paper can be successfully used to predict the relaxation times transport characteristics of MHD viscoelastic flow and heat transfer.
