01227nam--2200397---450-99000345657020331620110908133235.0978-88-8063-541-3000345657USA01000345657(ALEPH)000345657USA0100034565720101019d2007----km-y0itay50------baitaIT||||||||001yyDentro/fuori sopra/sottocritica femminista e canone letterario negli studi di italianisticaa cura di Alessia Ronchetti e Maria Serena SapegnoRavennaLongo2007182 p.24 cm<<Il>> portico1402001<<Il>> portico1402001001-------2001LetteraturaTemi [:] DonneAtti di congressiBNCF809.89287RONCHETTI,Alessia608826SAPEGNO,Maria SerenaITsalbcISBD990003456570203316VIII.3. 736228749 L.M.VIII.3.00283246BKUMAMARTUCCIEL9020101019USA011046PASSARO9020110908USA011332Dentro1109212UNISA03630nam 22005895 450 991036085490332120251202142842.03-030-32323-410.1007/978-3-030-32323-3(CKB)4100000009758976(DE-He213)978-3-030-32323-3(MiAaPQ)EBC5972634(PPN)258064846(EXLCZ)99410000000975897620191105d2019 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierBasics of Probability and Stochastic Processes /by Esra Bas1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (IX, 307 p.) 3-030-32322-6 Combinatorial Analysis -- Basic Concepts in Probability -- Conditional Probability, Bayes’s Formula, Independent Events -- Introduction to Random Variables -- Discrete Random Variables -- Continuous Random Variables -- Other Selected Topics in Basic Probability -- A Brief Introduction to Stochastic Processes -- A Brief Introduction to Point Process, Counting Process, Renewal Process, Regenerative Process, Poisson Process -- Poisson Process -- Renewal Process -- An Introduction to Markov Chains -- Special Discrete-Time Markov Chains -- Continuous-Time Markov Chains -- An Introduction to Queueing Models -- Introduction to Brownian Motion -- Basics of Martingales -- Basics of Reliability Theory.This textbook explores probability and stochastic processes at a level that does not require any prior knowledge except basic calculus. It presents the fundamental concepts in a step-by-step manner, and offers remarks and warnings for deeper insights. The chapters include basic examples, which are revisited as the new concepts are introduced. To aid learning, figures and diagrams are used to help readers grasp the concepts, and the solutions to the exercises and problems. Further, a table format is also used where relevant for better comparison of the ideas and formulae. The first part of the book introduces readers to the essentials of probability, including combinatorial analysis, conditional probability, and discrete and continuous random variable. The second part then covers fundamental stochastic processes, including point, counting, renewal and regenerative processes, the Poisson process, Markov chains, queuing models and reliability theory. Primarily intended for undergraduate engineering students, it is also useful for graduate-level students wanting to refresh their knowledge of the basics of probability and stochastic processes.Markov processesEngineering mathematicsDiscrete mathematicsSecurity systemsMarkov ProcessEngineering MathematicsDiscrete MathematicsSecurity Science and TechnologyMarkov processes.Engineering mathematics.Discrete mathematics.Security systems.Markov Process.Engineering Mathematics.Discrete Mathematics.Security Science and Technology.519.2Bas Esraauthttp://id.loc.gov/vocabulary/relators/aut781000MiAaPQMiAaPQMiAaPQBOOK9910360854903321Basics of Probability and Stochastic Processes1668169UNINA