| 000 | 01350camuuu200361 a 4500 | |
| 001 | 000000476522 | |
| 003 | OCoLC | |
| 005 | 19970423122452.0 | |
| 008 | 950629s1995 ne a b 001 0 eng | |
| 010 | ▼a 95034087 | |
| 015 | ▼a GB95-70985 | |
| 020 | ▼a 0792336623 (hb : acid-free paper) | |
| 040 | ▼a DLC ▼c DLC ▼d UKM ▼d FPU | |
| 041 | 1 | ▼a eng ▼h rus |
| 049 | 1 | ▼a ACCL ▼l 111084594 |
| 050 | 0 0 | ▼a QA279 ▼b .E7613 1995 |
| 082 | 0 0 | ▼a 003/.76 ▼2 20 |
| 090 | ▼a 003.76 ▼b E71mE | |
| 100 | 1 | ▼a Ermakov, S. M. ▼q (Sergei Mikhailovich) |
| 240 | 1 0 | ▼a Matematicheskii eksperiment s modeliami slozhnykh stokhasticheskikh sistem. ▼l English |
| 245 | 1 0 | ▼a Design and analysis of simulation experiments / ▼c by Sergei M. Ermakov and Viatcheslav B. Melas. |
| 260 | ▼a Dordrecht ; ▼a Boston : ▼b Kluwer Academic Publishers, ▼c c1995. | |
| 300 | ▼a vi, 197 p. : ▼b ill. ; ▼c 25 cm. | |
| 490 | 1 | ▼a Mathematics and its applications ; ▼v MAIA 339 |
| 504 | ▼a Includes bibliographical references (p. 189-193) and index. | |
| 650 | 0 | ▼a Experimental design. |
| 650 | 0 | ▼a Markov processes. |
| 650 | 7 | ▼a Plan d'experience. ▼2 ram |
| 650 | 7 | ▼a Markov, processus de. ▼2 ram |
| 653 | 0 | ▼a Differential equations ▼a Related to ▼a Probability |
| 700 | 1 | ▼a Melas, V. B. ▼q (Viacheslav Borisovich) |
| 830 | 0 | ▼a Mathematics and its applications (Kluwer Academic Publishers) ; ▼v v. 339. |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/서고6층/ | 청구기호 003.76 E71mE | 등록번호 111084594 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
This book is devoted to a new branch of experimental design theory called simulation experimental design. There are many books devoted either to the theory of experimental design or to system simulation techniques, but in this book an approach to combine both fields is developed. Especially the mathematical theory of such universal variance reduction techniques as splitting and Russian Roulette is explored. The book contains a number of results on regression design theory related to nonlinear problems, the E-optimum criterion and designs which minimize bias.
Audience: This volume will be of value to readers interested in systems simulation, applied statistics and numerical methods with basic knowledge of applied statistics and linear algebra.
정보제공 :
목차
Preface. 1. Methods of Distribution and Process Simulation. 2. Discrete Markov Chains. 3. Path Branching Technique for Discrete Markov Chains. 4. General Markov Chains. 5. General Design Methods of Simulation and Regression Experiments. References. Index.
정보제공 :