LEADER 03094nam 2200613 a 450 001 9911095881003321 005 20251117082634.0 010 $a9781587299414 010 $a1587299410 035 $a(CKB)2550000000019504 035 $a(EBL)843258 035 $a(OCoLC)671835093 035 $a(SSID)ssj0000424489 035 $a(PQKBManifestationID)11250120 035 $a(PQKBTitleCode)TC0000424489 035 $a(PQKBWorkID)10474336 035 $a(PQKB)11085215 035 $a(MiAaPQ)EBC843258 035 $a(MdBmJHUP)muse3016 035 $a(Au-PeEL)EBL843258 035 $a(CaPaEBR)ebr10405249 035 $a(Perlego)2957017 035 $a(EXLCZ)992550000000019504 100 $a20100216d2010 uy p 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aOn tact, & the made up world /$fMichele Glazer 205 $a1st ed. 210 $aIowa City, Iowa $cUniversity of Iowa Press$d2010 215 $a1 online resource (81 p.) 225 1 $aKuhl House poets 300 $aDescription based upon print version of record. 311 08$a9781587299087 311 08$a1587299089 327 $aContents; Acknowledgments; One; I didn't think much about what it was; Trace; Every hole in the bird blind says; In the lava tube; Flu?chtling; Not where you found me but where you looked,; Cup; Worm, (to a rumor of lilies); Untitled; On religion, war, nature, and the horse; Two; That Would Be Whidbey; Distances at Sea; Mattress; The rabbi is pressed into service; The least amount of stirred air a figure needed; Beds of Clandestine; To the better view; The least part best; Say the Unseen; What so ever you; bright things; Three; Fungus, with Daguerreotype; aperture with wings 327 $aYour drawing of a horsemanifesto; She would have to do what she could do with it; Green Animals; Metonymic Sonnet; To the ru?ckenfigur; Two Descending a Staircase; Child and Woman; Cradle; Notes on tact & the made up world; Part of which is remembered and the other part is not forgotten; Elegy; Notes; Kuhl House Poets 330 $a Michele Glazer's poems take on questions of being and value, exploring not just what is, but how it is. The poems trouble borders-between self and other, old and young, sick and well, stranger and intimate; between physical states in processes of decay; and between line and phrase, sentence and interruption, prose and poem, resisting the desire for something irrefutable with an abiding skepticism. The poems are drawn to missteps in perception and in language, those fractures that promise to crack open a surface to yield some other, grea 410 0$aKuhl House poets. 606 $aAmerican poetry$y21st century 615 0$aAmerican poetry 676 $a811.54 676 $a811/.54 676 $a821.92 700 $aGlazer$b Miche?le$f1958-$01811120 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911095881003321 996 $aOn tact, & the made up world$94711452 997 $aUNINA LEADER 05615nam 22007574a 450 001 9911144450203321 005 20200520144314.0 010 $a9786612540158 010 $a9781282540156 010 $a1282540157 010 $a9780080517223 010 $a0080517226 035 $a(CKB)1000000000707629 035 $a(EBL)546638 035 $a(OCoLC)662456957 035 $a(SSID)ssj0000428180 035 $a(PQKBManifestationID)12146683 035 $a(PQKBTitleCode)TC0000428180 035 $a(PQKBWorkID)10424434 035 $a(PQKB)11180012 035 $a(MiAaPQ)EBC546638 035 $a(Au-PeEL)EBL546638 035 $a(CaPaEBR)ebr10371749 035 $a(CaONFJC)MIL254015 035 $a(PPN)170253295 035 $a(FR-PaCSA)41001523 035 $a(FRCYB41001523)41001523 035 $a(EXLCZ)991000000000707629 100 $a20060524d2006 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aSimulation /$fSheldon M. Ross 205 $a4th ed. 210 $aAmsterdam ;$aBoston $cElsevier Academic Press$dc2006 215 $a1 recurso en línea (313 p.) 225 1 $aStatistical Modeling and Decision Science 300 $aDescription based upon print version of record. 311 08$a9780125980630 311 08$a0125980639 320 $aIncludes bibliographical references and index. 327 $aFront Cover; Title Page; Copyright page; Table of Contents; Preface; Overview; New to This Edition; Chapter Descriptions; Thanks; 1. Introduction; Exercises; 2. Elements of Probability; 2.1 Sample Space and Events; 2.2 Axioms of Probability; 2.3 Conditional Probability and Independence; 2.4 Random Variables; 2.5 Expectation; 2.6 Variance; 2.7 Chebyshev's Inequality and the Laws of Large Numbers; 2.8 Some Discrete Random Variables; Binomial Random Variables; Poisson Random Variables; Geometric Random Variables; The Negative Binomial Random Variable; Hypergeometric Random Variables 327 $a2.9 Continuous Random Variables Uniformly Distributed Random Variables; Normal Random Variables; Exponential Random Variables; The Poisson Process and Gamma Random Variables; The Nonhomogeneous Poisson Process; 2.10 Conditional Expectation and Conditional Variance; The Conditional Variance Formula; Exercises; References; 3. Random Numbers; Introduction; 3.1 Pseudorandom Number Generation; 3.2 Using Random Numbers to Evaluate Integrals; Exercises; References; 4. Generating Discrete Random Variables; 4.1 The Inverse Transform Method; 4.2 Generating a Poisson Random Variable 327 $a4.3 Generating Binomial Random Variables 4.4 The Acceptance-Rejection Technique; 4.5 The Composition Approach; 4.6 Generating Random Vectors; Exercises; 5. Generating Continuous Random Variables; Introduction; 5.1 The Inverse Transform Algorithm; 5.2 The Rejection Method; 5.3 The Polar Method for Generating Normal Random Variables; 5.4 Generating a Poisson Process; 5.5 Generating a Nonhomogeneous Poisson Process; Exercises; References; 6. The Discrete Event Simulation Approach; Introduction; 6.1 Simulation via Discrete Events; 6.2 A Single-Server Queueing System 327 $a6.3 A Queueing System with Two Servers in Series 6.4 A Queueing System with Two Parallel Servers; 6.5 An Inventory Model; 6.6 An Insurance Risk Model; 6.7 A Repair Problem; 6.8 Exercising a Stock Option; 6.9 Verification of the Simulation Model; Exercises; References; 7. Statistical Analysis of Simulated Data; Introduction; 7.1 The Sample Mean and Sample Variance; 7.2 Interval Estimates of a Population Mean; 7.3 The Bootstrapping Technique for Estimating Mean Square Errors; Exercises; References; 8. Variance Reduction Techniques; Introduction; 8.1 The Use of Antithetic Variables 327 $a8.2 The Use of Control Variates 8.3 Variance Reduction by Conditioning; Estimating the Expected Number of Renewals by Time t; 8.4 Stratified Sampling; 8.5 Applications of Stratified Sampling; Analyzing Systems Having Poisson Arrivals; Computing Multidimensional Integrals of Monotone Functions; Compound Random Vectors; 8.6 Importance Sampling; 8.7 Using Common Random Numbers; 8.8 Evaluating an Exotic Option; 8.9 Estimating Functions of Random Permutations and Random Subsets; Random Permutations; Random Subsets 327 $a8.10 Appendix: Verification of Antithetic Variable Approach When Estimating the Expected Value of Monotone Functions 330 $aRoss's Simulation, Fourth Edition introduces aspiring and practicing actuaries, engineers, computer scientists and others to the practical aspects of constructing computerized simulation studies to analyze and interpret real phenomena. Readers learn to apply results of these analyses to problems in a wide variety of fields to obtain effective, accurate solutions and make predictions about future outcomes. This text explains how a computer can be used to generate random numbers, and how to use these random numbers to generate the behavior of a stochastic model over time. It presents 410 0$aStatistical Modeling and Decision Science 606 $aRandom variables 606 $aProbabilities 606 $aComputer simulation 615 0$aRandom variables. 615 0$aProbabilities. 615 0$aComputer simulation. 676 $a519.2 700 $aRoss$b Sheldon M$020432 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911144450203321 996 $aSimulation$9748469 997 $aUNINA