Design and Analysis of Experiments With SAS
Lawson, John
Venduto da GreatBookPrices, Columbia, MD, U.S.A.
Venditore AbeBooks dal 6 aprile 2009
Usato - Rilegato
Condizione: Usato - Buono
Quantità: 1 disponibili
Aggiungere al carrelloVenduto da GreatBookPrices, Columbia, MD, U.S.A.
Venditore AbeBooks dal 6 aprile 2009
Condizione: Usato - Buono
Quantità: 1 disponibili
Aggiungere al carrelloMay show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Codice articolo 7804432-5
A culmination of the author’s many years of consulting and teaching, Design and Analysis of Experiments with SAS provides practical guidance on the computer analysis of experimental data. It connects the objectives of research to the type of experimental design required, describes the actual process of creating the design and collecting the data, shows how to perform the proper analysis of the data, and illustrates the interpretation of results.
Drawing on a variety of application areas, from pharmaceuticals to machinery, the book presents numerous examples of experiments and exercises that enable students to perform their own experiments. Harnessing the capabilities of SAS 9.2, it includes examples of SAS data step programming and IML, along with procedures from SAS Stat, SAS QC, and SAS OR. The text also shows how to display experimental results graphically using SAS ODS graphics. The author emphasizes how the sample size, the assignment of experimental units to combinations of treatment factor levels (error control), and the selection of treatment factor combinations (treatment design) affect the resulting variance and bias of estimates as well as the validity of conclusions.
This textbook covers both classical ideas in experimental design and the latest research topics. It clearly discusses the objectives of a research project that lead to an appropriate design choice, the practical aspects of creating a design and performing experiments, and the interpretation of the results of computer data analysis. SAS code and ancillaries are available at http://lawson.mooo.com
John Lawson is a professor in the Department of Statistics at Brigham Young University.
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