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Pharmaceutical Experimental Design(Drugs & the Pharmaceutical Sciences)Hardc
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Condition:
Very Good
A book that has been read and does not look new, but is in excellent condition. No obvious damage to the book cover, with the dust jacket (if applicable) included for hard covers. No missing or damaged pages, no creases or tears, no underlining or highlighting of text, and no writing in the margins. Some identifying marks on the inside cover, but this is minimal. Very little wear and tear. See the seller’s listing for full details and description of any imperfections.
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US $4.49 (approx £3.38) USPS Media MailTM.
Located in: Vero Beach, Florida, United States
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eBay item number:193290850592
Item specifics
- Condition
- Topic
- Design, Drugs
- Subject
- Architecture & Design
- ISBN
- 9780824798604
About this product
Product Identifiers
Publisher
CRC Press LLC
ISBN-10
0824798600
ISBN-13
9780824798604
eBay Product ID (ePID)
407109
Product Key Features
Number of Pages
512 Pages
Language
English
Publication Name
Pharmaceutical Experimental Design
Publication Year
1998
Subject
Pharmacy, Probability & Statistics / General, Chemistry / General
Type
Textbook
Subject Area
Mathematics, Science, Medical
Series
Drugs and the Pharmaceutical Sciences Ser.
Format
Hardcover
Dimensions
Item Height
0.9 in
Item Weight
28 Oz
Item Length
6 in
Item Width
9 in
Additional Product Features
Intended Audience
College Audience
LCCN
98-037068
Dewey Edition
21
Series Volume Number
92
Illustrated
Yes
Volume Number
Vol. 92
Table Of Content
1. Overview 2. Screening 3. Factor Influence Studies 4. Statistical and Mathematical Tools 5. Response Surface Methodology 6. Optimization 7. Variability and Quality 8. Exchange Algorithms 9. Mixtures 10. Mixtures in a Constrained Region of Interest
Synopsis
This useful reference describes the statistical planning and design of pharmaceutical experiments, covering all stages in the development process-including preformulation, formulation, process study and optimization, scale-up, and robust process and formulation development.Shows how to overcome pharmaceutical, technological, and economic constraints on experiment design!Directly comparing the advantages and disadvantages of specific techniques, Pharmaceutical Experimental Design offers broad, detailed, up-to-date descriptions of designs and methods not easily accessible in other books reviews screening designs for qualitative factors at different levels presents designs for predictive models and their use in optimization highlights optimization methods, such as steepest ascent, optimum path, canonical analysis, graphical analysis, and desirability discusses the Taguchi method for quality assurance and approaches for robust scaling up and process transfer details nonstandard designs and mixtures analyzes factorial, D-optimal design, and offline quality assurance techniques reveals how one experimental design evolves from another and more!Featuring over 700 references, tables, equations, and drawings, Pharmaceutical Experimental Design is suitable for industrial, research, and clinical pharmaceutical scientists, pharmacists, and pharmacologists; statisticians and biostatisticians; drug regulatory affairs personnel; biotechnologists; formulation, analytical, and synthetic chemists and engineers, quality assurance personnel; all users of statistical experimental design in research and development; and postgraduate and postdoctoral research workers in these disciplines., This useful reference describes the statistical planning and design of pharmaceutical experiments, covering all stages in the development process-including preformulation, formulation, process study and optimization, scale-up, and robust process and formulation development.Shows how to overcome pharmaceutical, technological, and economic constraints on experiment design Directly comparing the advantages and disadvantages of specific techniques, Pharmaceutical Experimental Design - offers broad, detailed, up-to-date descriptions of designs and methods not easily accessible in other books - reviews screening designs for qualitative factors at different levels - presents designs for predictive models and their use in optimization - highlights optimization methods, such as steepest ascent, optimum path, canonical analysis, graphical analysis, and desirability - discusses the Taguchi method for quality assurance and approaches for robust scaling up and process transfer - details nonstandard designs and mixtures - analyzes factorial, D-optimal design, and offline quality assurance techniques - reveals how one experimental design evolves from another - and more Featuring over 700 references, tables, equations, and drawings, Pharmaceutical Experimental Design is suitable for industrial, research, and clinical pharmaceutical scientists, pharmacists, and pharmacologists; statisticians and biostatisticians; drug regulatory affairs personnel; biotechnologists; formulation, analytical, and synthetic chemists and engineers, quality assurance personnel; all users of statistical experimental design in research and development; and postgraduate and postdoctoral research workers in these disciplines.
LC Classification Number
RS122.L49 1999
Item description from the seller
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