LEADER 02108nam 2200397 450 001 996575615603316 005 20231205170144.0 010 0 $a1504493443 010 0 $a9781504493444 035 $a(IEEE)10018356 035 $a(CKB)26036109400041 035 $a(NjHacI)9926036109400041 035 $a(EXLCZ)9926036109400041 100 $a20231205h20232022 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$a"C57.12.00-2021 - IEEE Standard for General Requirements for Liquid-Immersed Distribution, Power, and Regulating Transformers - Redline" /$fIEEE 210 1$aNew York :$cIEEE,$d2023. 210 4$dİ2022 215 $a1 online resource (124 pages) 330 $aElectrical and mechanical requirements for liquid-immersed distribution and power transformers, and autotransformers and regulating transformers; single-phase and polyphase, with voltages of 601 V or higher in the highest voltage winding, are set forth. This standard is a basis for the establishment of performance, and limited electrical and mechanical interchangeability requirements of equipment are described; it is also a basis for assistance in the proper selection of such equipment. The requirements in this standard apply to all liquid-immersed distribution, power, and regulating transformers except the following: instrument transformers, step voltage and induction voltage regulators, arc furnace transformers, rectifier transformers, specialty transformers, grounding transformers, mobile transformers, and mine transformers. 606 $aCooling 606 $aElectric power distribution 606 $aElectric transformers 615 0$aCooling. 615 0$aElectric power distribution. 615 0$aElectric transformers. 676 $a697.93 801 0$bNjHacI 801 1$bNjHacl 912 $a996575615603316 996 $a"C57.12.00-2021 - IEEE Standard for General Requirements for Liquid-Immersed Distribution, Power, and Regulating Transformers - Redline"$93880256 997 $aUNISA LEADER 05291nam 22007692 450 001 9910971602503321 005 20160511153343.0 010 $a1-107-12030-6 010 $a1-280-15912-X 010 $a0-511-11865-1 010 $a0-511-01878-9 010 $a0-511-15665-0 010 $a0-511-32934-2 010 $a0-511-51064-0 010 $a0-511-04599-9 035 $a(CKB)1000000000005257 035 $a(EBL)201438 035 $a(OCoLC)437063058 035 $a(SSID)ssj0000203942 035 $a(PQKBManifestationID)11172925 035 $a(PQKBTitleCode)TC0000203942 035 $a(PQKBWorkID)10176537 035 $a(PQKB)11163769 035 $a(UkCbUP)CR9780511510649 035 $a(Au-PeEL)EBL201438 035 $a(CaPaEBR)ebr10014615 035 $a(CaONFJC)MIL15912 035 $a(PPN)261345117 035 $a(MiAaPQ)EBC201438 035 $a(EXLCZ)991000000000005257 100 $a20090312d2002|||| uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aModeling aggregate behavior and fluctuations in economics $estochastic views of interacting agents /$fMasanao Aoki 205 $a1st ed. 210 1$aCambridge :$cCambridge University Press,$d2002. 215 $a1 online resource (xv, 263 pages) $cdigital, PDF file(s) 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 08$a0-521-60619-5 311 08$a0-521-78126-4 320 $aIncludes bibliographical references (p. 245-252) and indexes. 327 $tOur Objectives and Approaches --$tPartial List of Applications --$tStates: Vectors of Fractions of Types and Partition Vectors --$tVectors of Fractions --$tPartition Vectors --$tJump Markov Processes --$tThe Master Equation --$tDecomposable Random Combinatorial Structures --$tSizes and Limit Behavior of Large Fractions --$tSetting Up Dynamic Models --$tTwo Kinds of State Vectors --$tEmpirical Distributions --$tExchangeable Random Sequences --$tPartition Exchangeability --$tTransition Rates --$tDetailed-Balance Conditions and Stationary Distributions --$tThe Master Equation --$tContinuous-Time Dynamics --$tPower-Series Expansion --$tAggregate Dynamics and Fokker-Planck Equation --$tDiscrete-Time Dynamics --$tIntroductory Simple and Simplified Models --$tA Two-Sector Model of Fluctuations --$tClosed Binary Choice Models --$tA Polya Distribution Model --$tOpen Binary Models --$tTwo Logistic Process Models --$tModel 1: The Aggregate Dynamics and Associated Fluctuations --$tModel 2: Nonlinear Exit Rate --$tA Nonstationary Polya Model --$tAn Example: A Deterministic Analysis of Nonlinear Effects May Mislead! --$tAggregate Dynamics and Fluctuations of Simple Models --$tDynamics of Binary Choice Models --$tDynamics for the Aggregate Variable --$tPotentials --$tCritical Points and Hazard Function --$tMultiplicity--An Aspect of Random Combinatorial Features --$tEvaluating Alternatives --$tRepresentation of Relative Merits of Alternatives --$tValue Functions --$tExtreme Distributions and Gibbs Distributions --$tType I: Extreme Distribution. 330 $aThis book has two components: stochastic dynamics and stochastic random combinatorial analysis. The first discusses evolving patterns of interactions of a large but finite number of agents of several types. Changes of agent types or their choices or decisions over time are formulated as jump Markov processes with suitably specified transition rates: optimisations by agents make these rates generally endogenous. Probabilistic equilibrium selection rules are also discussed, together with the distributions of relative sizes of the bases of attraction. As the number of agents approaches infinity, we recover deterministic macroeconomic relations of more conventional economic models. The second component analyses how agents form clusters of various sizes. This has applications for discussing sizes or shares of markets by various agents which involve some combinatorial analysis patterned after the population genetics literature. These are shown to be relevant to distributions of returns to assets, volatility of returns, and power laws. 517 3 $aModeling Aggregate Behavior & Fluctuations in Economics 606 $aDemand (Economic theory)$xMathematical models 606 $aSupply and demand$xMathematical models 606 $aConsumption (Economics)$xMathematical models 606 $aBusiness cycles$xMathematical models 606 $aStatics and dynamics (Social sciences)$xMathematical models 606 $aStochastic processes$xMathematical models 615 0$aDemand (Economic theory)$xMathematical models. 615 0$aSupply and demand$xMathematical models. 615 0$aConsumption (Economics)$xMathematical models. 615 0$aBusiness cycles$xMathematical models. 615 0$aStatics and dynamics (Social sciences)$xMathematical models. 615 0$aStochastic processes$xMathematical models. 676 $a338.5/212 700 $aAoki$b Masanao$054078 801 0$bUkCbUP 801 1$bUkCbUP 906 $aBOOK 912 $a9910971602503321 996 $aModeling aggregate behavior and fluctuations in economics$91130040 997 $aUNINA