MARC details
| 000 -LEADER |
| fixed length control field |
02804nam a2200265 a 4500 |
| 001 - CONTROL NUMBER |
| control field |
vtls000057054 |
| 003 - CONTROL NUMBER IDENTIFIER |
| control field |
KUKTEM |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20251125093047.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
111212t2011 flua f 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9781439835920 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
1439835926 |
| 039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE] |
| Level of rules in bibliographic description |
201204161110 |
| Level of effort used to assign nonsubject heading access points |
asmadi |
| Level of effort used to assign subject headings |
201202151614 |
| Level of effort used to assign classification |
asmadi |
| -- |
201112121248 |
| -- |
shah |
| 040 ## - CATALOGING SOURCE |
| Original cataloging agency |
UMP |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
RM301.25 .C43 2011 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
| Personal name |
Chang, Mark |
| 245 10 - TITLE STATEMENT |
| Title |
Monte Carlo simulation for the pharmaceutical industry : |
| Remainder of title |
concepts, algorithms, and case studies / |
| Statement of responsibility, etc. |
Mark Chang |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
| Place of publication, distribution, etc. |
Boca Raton, FL : |
| Name of publisher, distributor, etc. |
CRC Press, |
| Date of publication, distribution, etc. |
2011 |
| 300 ## - PHYSICAL DESCRIPTION |
| Extent |
xxiii, 539 p. : |
| Other physical details |
ill. (some col.), maps ; |
| Dimensions |
25 cm. |
| 490 0# - SERIES STATEMENT |
| Series statement |
Chapman & Hall/CRC biostatistics series ; |
| Volume/sequential designation |
36 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
| Bibliography, etc. note |
Includes bibliographical references and index |
| 520 ## - SUMMARY, ETC. |
| Summary, etc. |
"Preface Drug development, aiming at improving people’s health, becomes more costly every year. The pharmaceutical industry must join its efforts with government and health professions to seek new, innovative, and cost- effective approaches in the development process. During this evolutionary process in the next decades, computer simulations will no doubt play a critical role. Computer simulation or Monte Carlo is the technique of simulating a dynamic system or process using a computer program. Computer simulations, as an efficient and effective research tool, have been used virtually in every concern of engineering, science, mathematics, etc. In this book, I am going to present the concept, theory, algorithm, and cases studies of Monte Carlo simulation in the pharmaceutical and health industries. The concepts refer not only to simulation in general, but also to various types of simulations in drug development. The theory will include virtual data sampling, game theory, deterministic and stochastic decision theories, adaptive design methods, Petrinet, genetic programming, resampling methods, and other strategies. These theories and methods either are necessary to carry out the simulations or make the simulations more efficient, even though there are many practical problems that can be simulated directly in ad hoc fashion without any theory of their efficiency or convergence considerations. The algorithms, which can be descriptive, computer pseudocode, or a combination of both, provide the basis for implementation of simulation methods. The case studies or applications are the simplified versions of the real world problems. These simplifications are necessary because a single case could otherwise occupy the whole book, preventing readers from exploring broad issues"--Provided by publisher |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Drug development |
| General subdivision |
Computer simulation |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Monte Carlo method |