LEADER 03593nam 2200865z- 450 001 9910557607903321 005 20220321 035 $a(CKB)5400000000045323 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/79664 035 $a(oapen)doab79664 035 $a(EXLCZ)995400000000045323 100 $a20202203d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aCarnot Cycle and Heat Engine Fundamentals and Applications II 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 online resource (182 p.) 311 08$a3-0365-3260-9 311 08$a3-0365-3261-7 330 $aThis second Special Issue connects both the fundamental and application aspects of thermomechanical machines and processes. Among them, engines have the largest place (Diesel, Lenoir, Brayton, Stirling), even if their environmental aspects are questionable for the future. Mechanical and chemical processes as well as quantum processes that could be important in the near future are considered from a thermodynamical point of view as well as for applications and their relevance to quantum thermodynamics. New insights are reported regarding more classical approaches: Finite Time Thermodynamics F.T.T.; Finite Speed thermodynamics F.S.T.; Finite Dimensions Optimal Thermodynamics F.D.O.T. The evolution of the research resulting from this second Special Issue ranges from basic cycles to complex systems and the development of various new branches of thermodynamics. 606 $aResearch and information: general$2bicssc 610 $aCarnot cycle 610 $aCarnot efficiency 610 $aCarnot engine 610 $aChambadal model 610 $achemical entropy 610 $achemical exergy 610 $aclosed simple Brayton cycle 610 $acombined cycle 610 $acycle power 610 $aecological function 610 $aefficiency at maximum power 610 $aentropy generation calculation 610 $aentropy production action 610 $afinite time thermodynamics 610 $aheat conductance distribution 610 $aIBM quantum computer 610 $aimperfect regeneration 610 $ainternal and external irreversibilities 610 $ainverse Brayton cycle 610 $airreversible Carnot engine 610 $airreversible Diesel cycle 610 $airreversible Lenoir cycle 610 $aisothermal process 610 $amechanical entropy 610 $amechanical exergy 610 $ametabolic reactions 610 $amulti-objective optimization 610 $an/a 610 $anumerical model 610 $aopen quantum system 610 $aoptimization 610 $aperformance optimization 610 $apower density 610 $apower output 610 $aquantum circuit 610 $aquantum thermodynamics 610 $aregenerative Brayton cycle 610 $aStirling refrigerator 610 $athermal efficiency 610 $athermal entropy 610 $athermal exergy 610 $athermodynamic analysis 610 $athermodynamics in finite time 610 $athermodynamics with finite speed 615 7$aResearch and information: general 700 $aFeidt$b Michel$4edt$0727699 702 $aFeidt$b Michel$4oth 906 $aBOOK 912 $a9910557607903321 996 $aCarnot Cycle and Heat Engine Fundamentals and Applications II$93038535 997 $aUNINA LEADER 05044nam 22012973a 450 001 9910346856403321 005 20250203235436.0 010 $a9783038979371 010 $a3038979376 024 8 $a10.3390/books978-3-03897-937-1 035 $a(CKB)4920000000095103 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/54566 035 $a(ScCtBLL)1e5b9e1e-a13c-4e29-a5d6-b43fa658909a 035 $a(OCoLC)1118520400 035 $a(oapen)doab54566 035 $a(EXLCZ)994920000000095103 100 $a20250203i20192019 uu 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aNew Developments in Statistical Information Theory Based on Entropy and Divergence Measures$fLeandro Pardo 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2019 210 1$aBasel, Switzerland :$cMDPI,$d2019. 215 $a1 electronic resource (344 p.) 311 08$a9783038979364 311 08$a3038979368 330 $aThis book presents new and original research in Statistical Information Theory, based on minimum divergence estimators and test statistics, from a theoretical and applied point of view, for different statistical problems with special emphasis on efficiency and robustness. Divergence statistics, based on maximum likelihood estimators, as well as Wald's statistics, likelihood ratio statistics and Rao's score statistics, share several optimum asymptotic properties, but are highly non-robust in cases of model misspecification under the presence of outlying observations. It is well-known that a small deviation from the underlying assumptions on the model can have drastic effect on the performance of these classical tests. Specifically, this book presents a robust version of the classical Wald statistical test, for testing simple and composite null hypotheses for general parametric models, based on minimum divergence estimators. 610 $amixture index of fit 610 $aKullback-Leibler distance 610 $arelative error estimation 610 $aminimum divergence inference 610 $aNeyman Pearson test 610 $ainfluence function 610 $aconsistency 610 $athematic quality assessment 610 $aasymptotic normality 610 $aHellinger distance 610 $anonparametric test 610 $aBerstein von Mises theorem 610 $amaximum composite likelihood estimator 610 $a2-alternating capacities 610 $aefficiency 610 $acorrupted data 610 $astatistical distance 610 $arobustness 610 $alog-linear models 610 $arepresentation formula 610 $agoodness-of-fit 610 $ageneral linear model 610 $aWald-type test statistics 610 $aHo?lder divergence 610 $adivergence 610 $alogarithmic super divergence 610 $ainformation geometry 610 $asparse 610 $arobust estimation 610 $arelative entropy 610 $aminimum disparity methods 610 $aMM algorithm 610 $alocal-polynomial regression 610 $aassociation models 610 $atotal variation 610 $aBayesian nonparametric 610 $aordinal classification variables 610 $aWald test statistic 610 $aWald-type test 610 $acomposite hypotheses 610 $acompressed data 610 $ahypothesis testing 610 $aBayesian semi-parametric 610 $asingle index model 610 $aindoor localization 610 $acomposite minimum density power divergence estimator 610 $aquasi-likelihood 610 $aChernoff Stein lemma 610 $acomposite likelihood 610 $aasymptotic property 610 $aBregman divergence 610 $arobust testing 610 $amisspecified hypothesis and alternative 610 $aleast-favorable hypotheses 610 $alocation-scale family 610 $acorrelation models 610 $aminimum penalized ?-divergence estimator 610 $anon-quadratic distance 610 $arobust 610 $asemiparametric model 610 $adivergence based testing 610 $ameasurement errors 610 $abootstrap distribution estimator 610 $ageneralized renyi entropy 610 $aminimum divergence methods 610 $ageneralized linear model 610 $a?-divergence 610 $aBregman information 610 $aiterated limits 610 $acentroid 610 $amodel assessment 610 $adivergence measure 610 $amodel check 610 $atwo-sample test 610 $aWald statistic 700 $aPardo Llorente$b Leandro$01878478 801 0$bScCtBLL 801 1$bScCtBLL 906 $aBOOK 912 $a9910346856403321 996 $aNew Developments in Statistical Information Theory Based on Entropy and Divergence Measures$94491200 997 $aUNINA