LEADER 03519 am 2200829 n 450 001 9910214919303321 005 20170209 010 $a2-86906-475-6 024 7 $a10.4000/books.pufr.4607 035 $a(CKB)3710000001633573 035 $a(FrMaCLE)OB-pufr-4607 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/47817 035 $a(PPN)202672425 035 $a(EXLCZ)993710000001633573 100 $a20170601j|||||||| ||| 0 101 0 $afre 135 $auu||||||m|||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFonctions du Cliché : du Banal à la Violence /$fClaudine Raynaud, Peter Vernon 210 $aTours $cPresses universitaires François-Rabelais$d2017 215 $a1 online resource (201 p.) 330 $aThe first meaning of the word "cliché" is "positive": in typography a cliché is a metal plate upon which an image is reproduced in relief. In photography, however, cliché is a "negative" and, indeed, its most current acceptation is that of commonplace, banality, cultural stereotype, repetition. It makes reproduction possible and authorizes it. Bearing the positive and negative poles in mind, together with the dynamic of their potential inversion, one arrives at the core of the concept of cliché. The aim of the conference was to look at the various forms of manifestation of the cliché as well as the roles played by the cliché in discourse and text, while attending to the relations of the commonplace with banality and violence. As such, it was a logical follow up on our previous reflexion on cultural, historical and textual breaking points ("Usure et rupture"). 517 $aFonctions du Cliché 517 $aFonctions du Cliché 517 $aFonctions du Cliché  606 $aHumanities, Multidisciplinary 606 $aLiterature (General) 606 $acliché 606 $astylistique 606 $astéréotype 606 $apsychologie 606 $alittérature de langue anglaise 610 $astylistique 610 $acliché 610 $apsychologie 610 $alittérature de langue anglaise 610 $astéréotype 615 4$aHumanities, Multidisciplinary 615 4$aLiterature (General) 615 4$acliché 615 4$astylistique 615 4$astéréotype 615 4$apsychologie 615 4$alittérature de langue anglaise 700 $aAji$b Hélène$01275945 701 $aAmossy$b Ruth$0457601 701 $aBeer$b Gillian$0131285 701 $aBowlby$b Rachel$0166107 701 $aDaniel$b Dominique$01298015 701 $aDesblaches$b Claudia$01291450 701 $aEtcheverry$b Michel$01329913 701 $aFabre$b Claire$01291200 701 $aFrau-Meigs$b Divina$01132637 701 $aHennard-Dutheil$b Martine$01329914 701 $aKershner$b Sybille$01329915 701 $aMarzola$b Alessandra$0166894 701 $aNet$b Mariana$01329916 701 $aPorteous$b Véronique$01329917 701 $aPoulain$b Pascale$01285575 701 $aRaynaud$b Claudine$01285411 701 $aSturgess$b Charlotte$01328458 701 $aTrotignon$b Béatrice$01299323 701 $aVernon$b Peter$01285415 701 $aRaynaud$b Claudine$01285411 701 $aVernon$b Peter$01285415 801 0$bFR-FrMaCLE 906 $aBOOK 912 $a9910214919303321 996 $aFonctions du Cliché : du Banal à la Violence$93039651 997 $aUNINA LEADER 04360nam 2200529 450 001 9910808613403321 005 20230822204924.0 010 $a1-119-28800-2 010 $a1-119-28798-7 010 $a1-119-28799-5 035 $a(CKB)4330000000009984 035 $a(Au-PeEL)EBL5741235 035 $a(OCoLC)1090242318 035 $a(CaSebORM)9781119287971 035 $a(MiAaPQ)EBC5741235 035 $a(EXLCZ)994330000000009984 100 $a20190417d2019 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPractical applications of Bayesian reliability /$fYan Liu, Athula I. Abeyratne 205 $aFirst edition 210 1$aHoboken, New Jersey :$cWiley,$d2019. 215 $a1 online resource (321 pages) 225 1 $aWiley Series in Quality and Reliability Engineering. 225 0 $aTHEi Wiley ebooks. 311 $a1-119-28797-9 320 $aIncludes bibliographical references and index. 327 $aBasic Concepts of Reliability Engineering -- Basic Concepts of Bayesian Statistics and Models -- Bayesian Computation -- Reliability Distributions (Bayesian Perspective) -- Reliability Demonstration Testing -- Capability and Design for Reliability -- System Reliability Bayesian Model -- Bayesian Hierarchical Model -- Regression Models. 330 $aDemonstrates how to solve reliability problems using practical applications of Bayesian models This self-contained reference provides fundamental knowledge of Bayesian reliability and utilizes numerous examples to show how Bayesian models can solve real life reliability problems. It teaches engineers and scientists exactly what Bayesian analysis is, what its benefits are, and how they can apply the methods to solve their own problems. To help readers get started quickly, the book presents many Bayesian models that use JAGS and which require fewer than 10 lines of command. It also offers a number of short R scripts consisting of simple functions to help them become familiar with R coding. Practical Applications of Bayesian Reliability starts by introducing basic concepts of reliability engineering, including random variables, discrete and continuous probability distributions, hazard function, and censored data. Basic concepts of Bayesian statistics, models, reasons, and theory are presented in the following chapter. Coverage of Bayesian computation, Metropolis-Hastings algorithm, and Gibbs Sampling comes next. The book then goes on to teach the concepts of design capability and design for reliability; introduce Bayesian models for estimating system reliability; discuss Bayesian Hierarchical Models and their applications; present linear and logistic regression models in Bayesian Perspective; and more. Provides a step-by-step approach for developing advanced reliability models to solve complex problems, and does not require in-depth understanding of statistical methodology Educates managers on the potential of Bayesian reliability models and associated impact Introduces commonly used predictive reliability models and advanced Bayesian models based on real life applications Includes practical guidelines to construct Bayesian reliability models along with computer codes for all of the case studies JAGS and R codes are provided on an accompanying website to enable practitioners to easily copy them and tailor them to their own applications Practical Applications of Bayesian Reliability is a helpful book for industry practitioners such as reliability engineers, mechanical engineers, electrical engineers, product engineers, system engineers, and materials scientists whose work includes predicting design or product performance. 410 0$aWiley series in quality and reliability engineering. 606 $aBayesian statistical decision theory 606 $aReliability (Engineering)$xStatistical methods 615 0$aBayesian statistical decision theory. 615 0$aReliability (Engineering)$xStatistical methods. 676 $a519.542 700 $aLiu$b Yan$0652380 702 $aAbeyratne$b Athula I. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910808613403321 996 $aPractical applications of Bayesian reliability$94030631 997 $aUNINA