Modern experimental design Book / Thomas P. Ryan.
Material type: TextSeries: Wiley series in probability and statisticsDescription: xvi, 593 pages : illustrations ; 25 cmISBN:- 9780471210771 (hardback)
- 0471210773
- Experimental design -- Textbooks
- Experimental design
- Geographic information systems -- Computers -- Earth sciences
- Engineering mathematics -- Computers
- Environmental toxicology -- Computers
- Geography -- Earth sciences
- Computer Science--
- Computer Science--
- Image denoising technique -- Adaptive thresholding -- Texture image noise
- Mahalanobis distance -- Machine learning techniques
- 519.57
- 519.57
Item type | Current library | Call number | Status | Date due | Barcode | Item holds |
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Books | Junaid Zaidi Library, COMSATS University Islamabad Ground Floor | 519.57 RYA-M (Browse shelf(Opens below)) | Available | 10001000060317 | ||
Books | Junaid Zaidi Library, COMSATS University Islamabad Reference | REF 910.285 KRE-S 60497 (Browse shelf(Opens below)) | Available | 10001000060497 |
Browsing Junaid Zaidi Library, COMSATS University Islamabad shelves, Shelving location: Ground Floor Close shelf browser (Hides shelf browser)
519.56 MUR-S Statistical power analysis : a simple and general model for traditional and modern hypothesis tests / | 519.57 BAI-D Design of comparative experiments | 519.57 KIS-S Statistical design for research | 519.57 RYA-M Modern experimental design | 519.6 DIS Discrete optimization the state of the art / | 519.6 JUN-G Graphs, networks, and algorithms | 519.6 NOC-N Numerical optimization |
A complete and well-balanced introduction to modern experimental design Using current research and discussion of the topic along with clear applications, Modern Experimental Design highlights the guiding role of statistical principles in experimental design construction. This text can serve as both an applied introduction as well as a concise review of the essential types of experimental designs and their applications. Topical coverage includes designs containing one or multiple factors, designs with at least one blocking factor, split-unit designs and their variations as well as supersaturated and Plackett-Burman designs. In addition, the text contains extensive treatment of: Conditional effects analysis as a proposed general method of analysis Multiresponse optimization Space-filling designs, including Latin hypercube and uniform designs Restricted regions of operability and debarred observations Analysis of Means (ANOM) used to analyze data from various types of designs The application of available software, including Design-Expert, JMP, and MINITAB This text provides thorough coverage of the topic while also introducing the reader to new approaches. Using a large number of references with detailed analyses of datasets, Modern Experimental Design works as a well-rounded learning tool for beginners as well as a valuable resource for practitioners.
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