Among the significant new features are: • Markov-chain simulation (Sections 1. • better handling of asynchronous observations (Sections 3. 3 and 3. • radically updated treatment of indirect estimation (Section 3. • new section on standardized time series (Section 3. • better way to generate random integers (Section 6.

Contenuti

1 Introduction.- 1.1. Systems, Models, and Simulation.- 1.2. Verification, Approximation, and Validation.- 1.2.1. Verifying a Program.- 1.2.2. Approximation and Validation.- 1.3. States, Events, and Clocks.- 1.4. Simulation—Types and Examples.- 1.4.1. Synchronous and Asynchronous Discrete-Event Simulation.- 1.4.2. Continuous Simulation.- 1.4.3. Hybrid Simulation.- 1.5. Introduction to Random Numbers.- 1.6. Perspective on Experimental Design and Estimation.- 1.7. Clock Mechanisms.- 1.8. Hints for Simulation Programming.- 1.9. Miscellaneous Problems.- 2 Variance Reduction.- 2.1. Common Random Numbers.- 2.1.1. Informal Approach.- 2.1.2. Formal Development.- 2.1.3. Auxiliary Results.- 2.2. Antithetic Variates.- 2.3. Control Variates.- 2.4. Stratification.- 2.5. Importance Sampling.- 2.6. Conditional Monte Carlo.- 2.7. Jackknifing.- 3 Output Analysis.- 3.1. Introduction.- 3.1.1. Finite-Horizon Versus Steady-State Performance.- 3.1.2. Fixed Sample Size Versus Sequential Sampling.- 3.2. Analysis of Finite-Horizon Performance.- 3.2.1. Absolute Performance Estimation.- 3.2.2. Relative Performance Estimation.- 3.3. Analysis of Steady-State Performance.- 3.3.1. Batch Means.- 3.3.2. Regenerative Methods.- 3.3.3. Spectral Analysis Methods.- 3.3.4. Autoregressive Methods.- 3.3.5. Recommendations.- 3.4. Analysis of Transaction-Based Performance.- 3.5. Indirect Estimation via r = ?s.- 3.6. Problems.- 3.7. Renewal Theory Primer.- 3.8. Standardized Time Series.- 3.8.1. Steady State.- 3.8.2. Transients.- 4 Rational Choice of Input Distributions.- 4.1. Addition and the Normal Distribution.- 4.2. Multiplication and the Lognormal.- 4.3. Memorylessness and the Exponential.- 4.4. Superposition, the Poisson, and the Exponential.- 4.5. Minimization and the Weibull Distribution.- 4.6. A Mixed Empirical and Exponential Distribution.- 4.7. Extreme Values and Spacings.- 4.8. When Not to Use a Theoretical Distribution.- 4.9. Nonstationary Poisson Processes.- 5 Nonuniform Random Numbers.- 5.1. Introduction.- 5.2. General Methods.- 5.2.1. Inversion.- 5.2.2. Tabular Approximation of the Inverse Transform.- 5.2.3. Empirical cdf’s.- 5.2.4. A Mixed Empirical and Exponential Distribution.- 5.2.5. Rejection.- 5.2.6. Generalized Rejection.- 5.2.7. Composition.- 5.2.8. The Alias Method for Discrete Distributions.- 5.2.9. Functional Approximations of the Inverse Transform.- 5.2.10. Other Ingenious Methods.- 5.3. Continuous Distributions.- 5.3.1. The Nonstandard Normal Distribution.- 5.3.2. The Multivariate (Dependent) Normal Distribution.- 5.3.3. Symmetric Stable Variates.- 5.3.4. The Cauchy Distribution.- 5.3.5. The Lognormal Distribution.- 5.3.6. The Exponential Distribution.- 5.3.7. The Hyperexponential Distribution.- 5.3.8. The Laplace and Exponential Power Distributions.- 5.3.9. Erlang and Gamma Distributions.- 5.3.10. The Beta Distribution.- 5.3.11. The Chi-square Distribution.- 5.3.12. The F-Distribution.- 5.3.13. The t-Distribution.- 5.3.14. The Weibull Distribution.- 5.3.15. The Gumbel Distribution.- 5.3.16. The Logistic Distribution.- 5.3.17. The Generalized Lambda Distribution.- 5.3.18. Nonhomogeneous Poisson Processes.- 5.4. Discrete Distributions.- 5.4.1. The Binomial Distribution.- 5.4.2. The Poisson Distribution.- 5.4.3. Compound Poisson Distributions.- 5.4.4. The Hypergeometric Distribution.- 5.4.5. The Geometric Distribution.- 5.4.6. The Negative Binomial and Pascal Distributions.- 5.4.7. Multidimensional Poisson Distributions.- 5.5. Problems.- 5.6. Timings.- 6 Uniform Random Numbers.- 6.1. Random Introductory Remarks.- 6.2. What Constitutes Randomness.- 6.3. Classes of Generators.- 6.3.1. Random Devices.- 6.3.2. Tables.- 6.3.3. The Midsquare Method.- 6.3.4. Fibonacci and Additive Congruential Generators.- 6.3.5. Linear Congruential Generators.- 6.3.6. Linear Recursion mod 2 Generators.- 6.3.7. Combinations of Generators.- 6.4. Choosing a Good Generator Based on Theoretical Considerations.- 6.4.1. Serial Correlation of Linear Congruential Generators.- 6.4.2. Cycle Length of Linear Congruential Generators.- 6.4.3. Cycle Length for Tausworthe Generators.- 6.4.4. The Spectral Test.- 6.5. Implementation of Uniform Random Number Generators.- 6.5.1. Multiplicative Generator With Modulus 2.- 6.5.2. Multiplicative Generators With Prime Modulus.- 6.5.3. Implementing the Tausworthe Generator.- 6.6. Empirical Testing of Uniform Random Number Generators.- 6.6.1. Chi-square Tests.- 6.6.2. Kolmogorov-Smirnov Tests.- 6.6.3. Tests Specifically for Uniform Random Number Sequences.- 6.7. Proper Use of a Uniform Random Number Generator.- 6.7.1. Generating Random Integers Uniform Over an Arbitrary Interval.- 6.7.2. Nonrandomness in the Low-order Bits of Multiplicative Generators.- 6.7.3. Linear Congruential Generators and the Box-Muller Method.- 6.8. Exploiting Special Features of Uniform Generators.- 6.8.1. Generating Antithetic Variates With a Multiplicative Congruential Generator.- 6.8.2. Generating a Random Number Stream in Reverse Order.- 6.8.3. Generating Disjoint Sequences.- 7 Simulation Programming.- 7.1. Simulation With General-Purpose Languages.- 7.1.1. The Simplest Possible Clock Mechanism.- 7.1.2. Generating Random Variates.- 7.1.3. Data Structures in Fortran.- 7.1.4. A Complete Simulation in Fortran.- 7.1.5. Fortran Simulation Packages.- 7.1.6. Our Standard Example—the Naive Approach.- 7.1.7. Simulation Using Pascal.- 7.2. Simscript.- 7.2.1. Data Structures in Simscript.- 7.2.2. Simscript and Simulation.- 7.2.3. A Complete Simulation in Simscript.- 7.2.4. The Standard Example in Simscript.- 7.2.5. Processes and Resources.- 7.2.6. Summing-up.- 7.3. GPSS.- 7.3.1. The Basic Concepts.- 7.3.2. Resources in GPSS.- 7.3.3. Generating Random Variates.- 7.3.4. A Complete Simulation in GPSS.- 7.3.5. The Standard Example in GPSS.- 7.3.6. Summing-up.- 7.4. Simula.- 7.4.1. The Class Concept in Simula.- 7.4.2. Simulation Using System Classes and Procedures.- 7.4.3. A Complete Simulation in Simula.- 7.4.4. Demos.- 7.4.5. The Standard Example in Simula With Demos.- 7.4.6. Summing-up.- 7.5. General Considerations in Simulation Programming.- 7.5.1. Language Design.- 7.5.2. System Considerations in Simulation.- 7.5.3. Statistical Considerations.- 8 Programming to Reduce the Variance.- 8.1. Choosing an Input Distribution.- 8.1.1. Using an Exact Method.- 8.1.2. Inverting a Tabulated Distribution.- 8.1.3. Using a Mixed Empirical and Exponential Distribution.- 8.1.4. Testing Robustness.- 8.2. Common Random Numbers.- 8.3. Antithetic Variates.- 8.4. Control Variates.- 8.4.1. The Simple Approach.- 8.4.2. Regression With Splitting.- 8.4.3. Regression With Jackknifing.- 8.5. Stratified Sampling.- 8.6. Importance Sampling.- 8.7. Conditional Monte Carlo.- 8.8. Summary.- Appendix A The Shapiro—Wilk Test for Normality.- Appendix L Routines for Random Number Generation.- Appendix X Examples of Simulation Programming.- References.- Author Index.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Descrizione libreria

Hello! Ria Christie Collections is an online venture that was initially set up in 2012 to sell books. We do not have a physical high street store. We are professional online booksellers. We only sell brand new books in perfect condition that we source from various suppliers and the publishers. Primarily, our aim is to provide an excellent service to all our customers. We always work as a team to achieve this. Our other objectives are to: 1. Ensure that all our products reach their destination quickly in a safe and secure manner 2. Answer to all our customer queries within 24 hours 3. Ensure that our customers are happy with their purchases 4. Provide all the items at a competitive price 5. Always listen to our customers Ria Christie Collections is not a registered company. It is a Sole Trader venture. Other key information is shown below: Contact Person Name: Rakesh Luchmun (Mr) Storefront Name: Ria Christie Collections Place of Establishment Address: Suite B; ARUN House; ARUN Building Arundel Road Uxbridge UB8 2RR United Kingdom E-Mail Address: riachristie@hotmail.co.uk VAT Number: GB 160 5650 25 We always work hard and aim to comply with all of Abebooks Policies. If you have any issues, please do not hesitate to write to us whether before or after a purchase. We promise to reply to you promptly and, in any case, within 24 hours. Thank you kindly! Yours sincerely Mr Rakesh Luchmun (Founder) and the Ria Christie Collections Team

Visita la pagina della libreria

Informazioni sull?azienda del venditore

Ryefield Investments Limited
175 Pield Heath Road, Uxbridge, UB8 3NL, United Kingdom

Condizioni di vendita e spedizione

Condizioni di vendita

All Returns and Refund are as per Abebooks policies.

Diritto di recesso

Condizioni di spedizione

Orders usually ship within 2 business days. If your book order is heavy or oversized, we may contact you to let you know extra shipping is required. Thank you!

Tariffe di spedizione da Regno Unito a U.S.A.

Tariffe di spedizione da Regno Unito a U.S.A.
Quantit� dell?ordine	Da 6 a 12 giorni lavorativi	Da 6 a 12 giorni lavorativi
Primo articolo	EUR 13.72	EUR 13.72

I tempi di consegna sono stabiliti dai venditori e variano in base al corriere e al paese. Gli ordini che devono attraversare una dogana possono subire ritardi e spetta agli acquirenti pagare eventuali tariffe o dazi associati. I venditori possono contattarti in merito ad addebiti aggiuntivi dovuti a eventuali maggiorazioni dei costi di spedizione dei tuoi articoli.