Cantitate/Preț
Produs
Total produse
Vezi coșul
Simulation de Sheldon M. Ross

Simulation

Autor Sheldon M. Ross
en Limba Engleză Hardback – 14 dec 2022
Simulation, Sixth Edition continues to introduce 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 will learn to apply the results of these analyses to problems in a wide variety of fields to obtain effective, accurate solutions and make predictions. By explaining 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, this book presents the statistics needed to analyze simulated data and validate simulation models.

  • Includes updated content throughout
  • Offers a wealth of practice exercises as well as applied use of free software package R
  • Features the author’s well-known, award-winning and accessible approach to complex information
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Hardback (2) 47000 lei  36-50 zile +18503 lei  5-11 zile
  ELSEVIER SCIENCE – 14 dec 2022 53474 lei  15-29 zile +18503 lei  5-11 zile
  ELSEVIER SCIENCE – 7 dec 2012 47000 lei  36-50 zile

Preț: 53474 lei

Preț vechi: 66429 lei
-20% Nou

Puncte Express: 802
Preț estimativ în valută:
10234€ • 10630$ • 8501£

Carte disponibilă

Livrare economică 06-20 ianuarie 25
Livrare express 27 decembrie 24 - 02 ianuarie 25 pentru 19502 lei

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9780323857390
ISBN-10: 0323857396
Pagini: 336
Ilustrații: Approx. 150 illustrations
Dimensiuni: 152 x 229 x 23 mm
Greutate: 4.5 kg
Ediția:6
Editura: ELSEVIER SCIENCE

Public țintă

Students at the advanced undergraduate / early graduate level taking a course in Simulation, found in many different departments, including: Computer Science, Industrial Engineering, Operations Research, Statistics, Mathematics, Electrical Engineering, and Quantitative Business Analysis.
Researchers/Professionals

Cuprins

1. Introduction 2. Elements of Probability 3. Random Numbers 4. Generating Discrete Random Variables 5. Generating Continuous Random Variables 6. The Multivariate Normal Distribution and Copulas 7. The Discrete Event Simulation Approach 8. Statistical Analysis of Simulated Data 9. Variance Reduction Techniques 10. Additional Variance Reduction Techniques 11. Statistical Validation Techniques 12. Markov Chain Monte Carlo Methods

Recenzii

"This textbook contains and describes all the tools one needs to plan and to carry out a simulation study as well as to analyze its results." --J.Wolters, zbMATH Open

"It presents the statistics needed to analyze simulated data and to validate the simulation model. In this edition, several new topics are included as well as a number of new exercises." --Vigirdas Mackevičius, zbMATH Open

Descriere

Descriere de la o altă ediție sau format:

The 5th edition of Ross’s Simulation continues to introduce 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 latest edition features all-new material on variance reduction, including control variables and their use in estimating the expected return at blackjack and their relation to regression analysis. Additionally, the 5th edition expands on Markov chain monte carlo methods, and offers unique information on the alias method for generating discrete random variables.
By explaining 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, Ross’s Simulation, 5th edition presents the statistics needed to analyze simulated data as well as that needed for validating the simulation model.

 

  • Additional material on variance reduction, including control variables and their use in estimating the expected return at blackjack and their relation to regression analysis
  • Additional material and examples on Markov chain Monte Carlo methods
  • Unique material on the alias method for generating discrete random variables
  • Additional material on generating multivariate normal vectors