N. Anthony Armstrong

Pharmaceutical Experimental Design and Interpretation (eBook, PDF)

• Format: PDF

Produktbeschreibung

Completely updated, this new edition explains the major methods of experimental design and evaluation such as multivariate, sequential, and principal components analysis. It offers new sections on neural networks, artificial intelligence, fractional designs, and optimization techniques. Taking a practice-orientated approach, it employs current case studies to illustrate important concepts, so as to deliver a clear understanding of statistical approaches without repeating information from older statistics textbooks. It supplies appendices on statistical tables, computer programs in BASIC and MINITAB Commands, sequential analysis grids, and matrices.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 256
• Erscheinungstermin: 20. Januar 2006
• Englisch
• ISBN-13: 9781420021455
• Artikelnr.: 53003940

Autorenporträt

Armstrong, N. Anthony

Inhaltsangabe

Introduction to Experimental Design. Comparison of Mean Values.
Non-parametric Treatments. Correlation and Regression. Multivariate
Methods. Cluster and Discrimination Analysis. Principal Components and
Factor Analysis. Sequential Analysis. Factorial Design of Experiments.
Model-dependent Optimization and Response Surface Methodology.
Model-independent Optimization. Experimental Designs for Mixtures Appendix
1: Statistical Tables. Appendix 2: Computer Programs in BASIC and MINITAB
Commands. Appendix 3: Sequential Analysis Grids. Appendix 4: Matrices