Monte Carlo simulation for the pharmaceutical industry : (Record no. 61004)

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
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Date acquired Cost, normal purchase price Total checkouts Full call number Barcode Date last seen Copy number Cost, replacement price Price effective from Koha item type
  Not lost     UMPLIB GAMBANG UMPLIB GAMBANG 04/09/2019 277.66   RM301.25 .C43 2011 0000062565 04/09/2019 1 277.66 04/09/2019 Open Shelf

Perpustakaan Universiti Malaysia Pahang Al-Sultan Abdullah
26600 Pekan, Pahang Darul Makmur
Phone: +609 431 5063 (Gambang) / +609 431 5035 (Pekan)
Email: umplibrary@umpsa.edu.my

Connect With Us