000			03189nam a2200421 c 4500
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988			_aSpringer_Engineering_2020
999			_c114460 _d114460 _x1
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003			ES-MaUEC
005			20230110040223.0
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008			190731s2020 gw a o |||| 0|eng d
020			_a9783030226800
024	7		_a10.1007/978-3-030-22680-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA330 _b2020 EB
100	1		_aMoss, R. E. S. _eautor _9671494 _q(Robb Eric Shedwick)
245	1	0	_aApplied Civil Engineering Risk Analysis _cby Robb Eric S. Moss
250			_aSecond edition 2020
264		1	_aCham _bSpringer International Publishing _c2020
300			_a1 recurso en línea (XI, 180 páginas) _b110 ilustraciones, 56 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aEngineering (Springer-11647)
505	0		_aIntroduction -- Data Analysis/Sample Statistics -- Elementary Probability and Set Theory -- Random Variables and Probability Distributions -- Functions of Random Variables: Error Propagation -- Component Reliability Analysis -- System Reliability Analysis -- Introduction to Decision Analysis -- Reliability-Based Codes (LRFD) -- Spatial Variability -- Bayesian Updating -- References -- Appendix A -- Appendix B -- Appendix C.
520	3		_a This updated edition retains its introduction to applied fundamental statistics, probability, reliability, and decision theory as these pertain to problems in Civil Engineering. The new edition adds an expanded treatment of systems reliability, Bayesian methods, and spatial variabililty, along with additional example problems throughout. The book provides readers with the tools needed to determine the probability of failure, and when multiplied by the consequences of failure, illustrates how to assess the risk of civil engineering problems. Presenting methods for quantifying uncertainty that exists in engineering analysis and design, with an emphasis on fostering more accurate analysis and design, the text is ideal for students and practitioners of a range of civil engineering disciplines. Expands on the class-tested pedagogy from the first edition with more material and more examples; Broadens understanding with simulations coded both in Matlab and in R; Features new chapters on spatial variability and Bayesian methods; Emphasizes techniques for estimating the influence of uncertainty on the probability of failure.
650		7	_2embne _aMatemáticas aplicadas _9145503
650		7	_2embne _aIngeniería civil _xEvaluación del riesgo _9138928
650		7	_2embne _aFiabilidad (Ingeniería) _9141577
776	0	8	_iPrinted edition: _z9783030226794
776	0	8	_iPrinted edition: _z9783030226817
776	0	8	_iPrinted edition: _z9783030226824
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-22680-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
998			_aSI _cm _dz _feng _ggw _h0 _b11/2019 _eu _zSI