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Physics --- Plasma (Ionized gases) --- Plasma density --- Laser-plasma interactions --- Plasma (Gaz ionisés) --- Interactions laser-plasma --- Periodicals. --- Périodiques --- Densité --- Energy level densities --- General and Others --- Plasma Physics --- Interactions, Laser-plasma --- Density, Plasma --- Densities, Energy level --- Density, Energy level --- Level densities, Energy --- Level density, Energy --- Nuclear level densities --- Nuclear level density --- Laser beams --- Energy levels (Quantum mechanics)

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The raw numbers of high-energy-density physics are amazing: shock waves at hundreds of km/s (approaching a million km per hour), temperatures of millions of degrees, and pressures that exceed 100 million atmospheres. This book introduces the reader to the fundamental tools and discoveries of high-energy-density physics. It surveys the production of high-energy-density conditions, the fundamental plasma and hydrodynamic models that can describe them and the problem of scaling from the laboratory to the cosmos. Connections to astrophysics are discussed throughout. The book is intended to support coursework in high-energy-density physics, to meet the needs of new researchers in this field, and also to serve as a useful reference on the fundamentals. Specifically the book has been designed to enable academics in physics, astrophysics, applied physics and engineering departments to provide in a single-course introduction to fluid mechanics and radiative transfer, with dramatic applications in the field of high-energy-density systems.

Plasma (Ionized gases) --- Energy level densities. --- Plasma density. --- Plasma astrophysics. --- Laser-plasma interactions. --- Densities, Energy level --- Density, Energy level --- Level densities, Energy --- Level density, Energy --- Nuclear level densities --- Nuclear level density --- Energy levels (Quantum mechanics) --- Gaseous discharge --- Gaseous plasma --- Magnetoplasma --- Ionized gases --- Interactions, Laser-plasma --- Laser beams --- Astrophysical plasmas --- Plasmas, Astrophysical --- Astrophysics --- Density, Plasma --- Astrophysics. --- Particle and Nuclear Physics. --- Atoms and Molecules in Strong Fields, Laser Matter Interaction. --- Plasma Physics. --- Astrophysics and Astroparticles. --- Fluid- and Aerodynamics. --- Space Sciences (including Extraterrestrial Physics, Space Exploration and Astronautics). --- Astronomical physics --- Astronomy --- Cosmic physics --- Physics --- Nuclear physics. --- Atoms. --- Physics. --- Plasma (Ionized gases). --- Fluids. --- Space sciences. --- Science and space --- Space research --- Cosmology --- Science --- Hydraulics --- Mechanics --- Hydrostatics --- Permeability --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics --- Chemistry, Physical and theoretical --- Matter --- Stereochemistry --- Atomic nuclei --- Atoms, Nuclei of --- Nucleus of the atom --- Constitution

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'Lotto, de beste kans om miljonair te worden'. Een reclameslogan die goed klinkt, maar wel een slogan waarop het nodige valt af te dingen. Voor de Nederlandse lotto zou je meer dan 9000 jaar moeten leven om met een kans van minstens 50% ooit een keer in je leven de jackpot te winnen, voor het geval je elke week trouw 12 rijtjes zou invullen. Dit kun je uitrekenen dankzij een wonderschoon resultaat van de Franse wiskundige Simeon-Denis Poisson (1781-1840). In een meesterwerk dat hij 1837 schreef, formuleerde Poisson terloops een natuurwet betreffende de kansverdeling van zeldzaam optredende gebeurtenissen. Heden ten dage geldt de Poisson verdeling als een van de belangrijkste resultaten uit de kansrekening. Dit boekje geeft op boeiende en heldere wijze een eerste indruk van het brede toepassingsgebied van de Poisson verdeling, waarbij loterijen ter lering en vermaak dienen. (Bron: www.epsilon-uitgeven.nl)

510 --- Kansrekenen --- 103482.jpg --- Statistiek --- Waarschijnlijkheidsrekening --- Wiskunde --- Secundair onderwijs --- Kansrekening --- Kansberekening --- Kansverdeling --- Lottospel --- Poisson, Simeon-Denis --- Lotto --- 519.213 --- wiskunde --- 485.3 --- 51 <075> --- 519.213 Probability distributions and densities. Normal distribution. Characteristic functions. Measures of dependence. Infinitely divisible laws. Stable laws --- Probability distributions and densities. Normal distribution. Characteristic functions. Measures of dependence. Infinitely divisible laws. Stable laws --- 51 <075> Mathematics--Schoolboeken --- Mathematics--Schoolboeken --- didactiek secundair onderwijs - wiskunde --- Didactics of secundary education --- Didactics of mathematics --- stochastische analyse --- Probability theory --- (zie ook: realistische wiskunde)

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This book was first published in 2006. Written by two of the foremost researchers in the field, this book studies the local times of Markov processes by employing isomorphism theorems that relate them to certain associated Gaussian processes. It builds to this material through self-contained but harmonized 'mini-courses' on the relevant ingredients, which assume only knowledge of measure-theoretic probability. The streamlined selection of topics creates an easy entrance for students and experts in related fields. The book starts by developing the fundamentals of Markov process theory and then of Gaussian process theory, including sample path properties. It then proceeds to more advanced results, bringing the reader to the heart of contemporary research. It presents the remarkable isomorphism theorems of Dynkin and Eisenbaum and then shows how they can be applied to obtain new properties of Markov processes by using well-established techniques in Gaussian process theory. This original, readable book will appeal to both researchers and advanced graduate students.

Markov processes --- Gaussian processes --- Local times (Stochastic processes) --- Markov, Processus de --- Processus gaussiens --- Temps locaux (Processus stochastiques) --- Analysis, Markov --- Chains, Markov --- Markoff processes --- Markov analysis --- Markov chains --- Markov models --- Models, Markov --- Processes, Markov --- Stochastic processes --- Sojourn time densities (Stochastic processes) --- Distribution (Probability theory) --- Markov processes. --- Gaussian processes.

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In recent years, the advances and abilities of computer software have substantially increased the number of scientific publications that seek to introduce new probabilistic modelling frameworks, including continuous and discrete approaches, and univariate and multivariate models. Many of these theoretical and applied statistical works are related to distributions that try to break the symmetry of the normal distribution and other similar symmetric models, mainly using Azzalini's scheme. This strategy uses a symmetric distribution as a baseline case, then an extra parameter is added to the parent model to control the skewness of the new family of probability distributions. The most widespread and popular model is the one based on the normal distribution that produces the skewed normal distribution. In this Special Issue on symmetric and asymmetric distributions, works related to this topic are presented, as well as theoretical and applied proposals that have connections with and implications for this topic. Immediate applications of this line of work include different scenarios such as economics, environmental sciences, biometrics, engineering, health, etc. This Special Issue comprises nine works that follow this methodology derived using a simple process while retaining the rigor that the subject deserves. Readers of this Issue will surely find future lines of work that will enable them to achieve fruitful research results.

positive and negative skewness --- ordering --- fitting distributions --- Epsilon-skew-Normal --- Epsilon-skew-Cauchy --- bivariate densities --- generalized Cauchy distributions --- asymmetric bimodal distribution --- bimodal --- maximum likelihood --- slashed half-normal distribution --- kurtosis --- likelihood --- EM algorithm --- flexible skew-normal distribution --- skew Birnbaum–Saunders distribution --- bimodality --- maximum likelihood estimation --- Fisher information matrix --- maximum likelihood estimates --- type I and II censoring --- skewness coefficient --- Weibull censored data --- truncation --- half-normal distribution --- probabilistic distribution class --- normal distribution --- identifiability --- moments --- power-normal distribution