000839359 000__ 04825cam\a2200553Ii\4500 000839359 001__ 839359 000839359 005__ 20230306144644.0 000839359 006__ m\\\\\o\\d\\\\\\\\ 000839359 007__ cr\un\nnnunnun 000839359 008__ 180520s2018\\\\xx\\\\\\o\\\\\100\0\eng\d 000839359 019__ $$a1037007821$$a1040652088 000839359 020__ $$a9783319760353$$q(electronic book) 000839359 020__ $$a3319760351$$q(electronic book) 000839359 020__ $$z3319760343 000839359 020__ $$z9783319760346 000839359 0247_ $$a10.1007/978-3-319-76035-3$$2doi 000839359 035__ $$aSP(OCoLC)on1036736140 000839359 035__ $$aSP(OCoLC)1036736140$$z(OCoLC)1037007821$$z(OCoLC)1040652088 000839359 040__ $$aYDX$$beng$$cYDX$$dN$T$$dGW5XE$$dEBLCP$$dAZU$$dUAB$$dOCLCF$$dOCLCQ 000839359 049__ $$aISEA 000839359 050_4 $$aT57.62 000839359 08204 $$a001.434$$223 000839359 24500 $$aStatistics and simulation :$$bIWS 8, Vienna, Austria, September 2015. 000839359 2463_ $$aIWS 8 000839359 260__ $$a[S.l.] :$$bSpringer,$$c2018. 000839359 300__ $$a1 online resource. 000839359 336__ $$atext$$btxt$$2rdacontent 000839359 337__ $$acomputer$$bc$$2rdamedia 000839359 338__ $$aonline resource$$bcr$$2rdacarrier 000839359 347__ $$atext file$$bPDF$$2rda 000839359 4901_ $$aSpringer proceedings in mathematics & statistics ;$$vv. 231 000839359 5050_ $$aIntro; Preface; Contents; Contributors; Part I Invited Papers; 1 Design and Analysis of Simulation Experiments; 1.1 Introduction; 1.2 Basic Linear Regression and Designs; 1.3 Assumptions Versus Practice; 1.4 Factor Screening: Sequential Bifurcation; 1.5 Kriging Metamodels and Their Designs; 1.6 Simulation Optimization; References; 2 A Review of Simulation Usage in the New Zealand Electricity Market; 2.1 Introduction to Wholesale Electricity Markets; 2.1.1 Pricing of Electricity; 2.2 The New Zealand Electricity Market; 2.2.1 The Need for Simulation: Pricing in the NZEM 000839359 5058_ $$a2.3 Optimal Offers for Generation2.3.1 A Simplified Problem; 2.3.2 Using Simulation for the General Problem; 2.4 Bid Optimization for Large Consumers of Electricity; 2.4.1 Reserve Co-optimization; 2.4.2 Optimization of Consumption and Reserves; 2.5 Conclusions; References; 3 Power and Sample Size Considerations in Psychometrics; 3.1 Introduction; 3.2 Power and Sample Size in a Conditional Maximum Likelihood Framework; 3.3 Power of Pseudo-Exact or Conditional Tests of Assumptions of the Rasch Model; 3.4 Linear Models and Least Squares Approach; 3.5 Numerical Examples and Comparisons 000839359 5058_ $$a3.6 DiscussionReferences; 4 Bootstrap Change Point Testing for Dependent Data; 4.1 Introduction; 4.2 Procedures with Weakly Dependent Regressors and Errors; 4.3 Dependent Wild Bootstrap; 4.4 Simulations; References; Part II Simulation for Mathematical Modeling and Analysis; 5 The Covariation Matrix of Solution of a Linear Algebraic System by the Monte Carlo Method; 5.1 Introduction; 5.2 The Monte Carlo Method of Solution; 5.3 Sufficient Conditions for the Convergence of the Series tildeH; 5.4 The Covariation Matrix R of the Vector; 5.5 Estimate of the Number of Iterations M 000839359 5058_ $$a5.6 Numerical Examples5.7 Conclusions; References; 6 Large-Scale Simulation of Acoustic Waves in Random Multiscale Media; 6.1 Introduction; 6.2 The Model and Governing Equation; 6.3 Subgrid Modeling; 6.3.1 The Anisotropic Case; 6.4 Numerical Verification of the Above Obtained Formulas; 6.5 Conclusion; References; 7 Parameter Inference for Stochastic Differential Equations with Density Tracking by Quadrature; 7.1 Introduction; 7.2 Methods; 7.3 Results; 7.4 Discussion and Conclusion; References; 8 New Monte Carlo Algorithm for Evaluation of Outgoing Polarized Radiation; 8.1 Introduction 000839359 5058_ $$a8.2 Mathematical Model of Polarized Light Propagation and the Problem Statement8.3 A Modification of N. N. Chentsov Method for an Unknown Probability Density Evaluation in Application to the Problem of Evaluation of an Angular Distribution of the Radiation Scattered by Media; 8.4 Numerical Results and Discussion; 8.5 Conclusion; References; Part III Simulation for Stochastic Processes and Their Applications; 9 Simulation of Stochastic Processes with Generation and Transport of Particles; 9.1 Introduction; 9.2 Evolution of Branching Random Walks; 9.3 Simulation of Branching Random Walks 000839359 506__ $$aAccess limited to authorized users. 000839359 650_0 $$aPerfect simulation (Statistics)$$vCongresses. 000839359 7001_ $$aPilz, Jürgen,$$d1951- 000839359 7001_ $$aRasch, Dieter. 000839359 7001_ $$aMelas, V. B.$$q(Vi͡acheslav Borisovich) 000839359 7001_ $$aModer, Karl. 000839359 7112_ $$aInternational Workshop on Simulation$$n(8th :$$d2015 :$$cVienna, Austria) 000839359 77608 $$iPrint version:$$z3319760343$$z9783319760346$$w(OCoLC)1020029882 000839359 830_0 $$aSpringer proceedings in mathematics & statistics ;$$vv. 231. 000839359 852__ $$bebk 000839359 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-76035-3$$zOnline Access$$91397441.1 000839359 909CO $$ooai:library.usi.edu:839359$$pGLOBAL_SET 000839359 980__ $$aEBOOK 000839359 980__ $$aBIB 000839359 982__ $$aEbook 000839359 983__ $$aOnline 000839359 994__ $$a92$$bISE