000 05231nam a22004335i 4500
001 978-0-387-28014-1
003 DE-He213
005 20161121231023.0
007 cr nn 008mamaa
008 100301s2006 xxu| s |||| 0|eng d
020 _a9780387280141
_9978-0-387-28014-1
024 7 _a10.1007/0-387-28014-6
_2doi
050 4 _aQA276-280
072 7 _aPBT
_2bicssc
072 7 _aMAT029000
_2bisacsh
082 0 4 _a519.5
_223
245 1 0 _aScreening
_h[electronic resource] :
_bMethods for Experimentation in Industry, Drug Discovery, and Genetics /
_cedited by Angela Dean, Susan Lewis.
264 1 _aNew York, NY :
_bSpringer New York,
_c2006.
300 _aXVI, 332 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aAn Overview of Industrial Screening Experiments -- Screening Experiments for Dispersion Effects -- Pooling Experiments for Blood Screening and Drug Discovery -- Pharmaceutical Drug Discovery: Designing the Blockbuster Drug -- Design and Analysis of Screening Experiments with Microarrays -- Screening for Differential Gene Expressions from Microarray Data -- Projection Properties of Factorial Designs for Factor Screening -- Factor Screening via Supersaturated Designs -- An Overview of Group Factor Screening -- Screening Designs for Model Selection -- Prior Distributions for Bayesian Analysis of Screening Experiments -- Analysis of Orthogonal Saturated Designs -- Screening for the Important Factors in Large Discrete-Event Simulation Models: Sequential Bifurcation and Its Applications -- Screening the Input Variables to a Computer Model Via Analysis of Variance and Visualization.
520 _aThe process of discovery in science and technology may require investigation of a large number of features, such as factors, genes or molecules. In Screening, statistically designed experiments and analyses of the resulting data sets are used to identify efficiently the few features that determine key properties of the system under study. This book brings together accounts by leading international experts that are essential reading for those working in fields such as industrial quality improvement, engineering research and development, genetic and medical screening, drug discovery, and computer simulation of manufacturing systems or economic models. Our aim is to promote cross-fertilization of ideas and methods through detailed explanations, a variety of examples and extensive references. Topics cover both physical and computer simulated experiments. They include screening methods for detecting factors that affect the value of a response or its variability, and for choosing between various different response models. Screening for disease in blood samples, for genes linked to a disease and for new compounds in the search for effective drugs are also described. Statistical techniques include Bayesian and frequentist methods of data analysis, algorithmic methods for both the design and analysis of experiments, and the construction of fractional factorial designs and orthogonal arrays. The material is accessible to graduate and research statisticians, and to engineers and chemists with a working knowledge of statistical ideas and techniques. It will be of interest to practitioners and researchers who wish to learn about useful methodologies from within their own area as well as methodologies that can be translated from one area to another. Angela Dean is Professor of Statistics at The Ohio State University, USA. She is a Fellow of the American Statistical Association, the Institute of Mathematical Statistics, and an elected member of the International Statistical Institute. Her research focuses on the construction of efficient designs for factorial experiments in industry and marketing. She is co-author of the textbook Design and Analysis of Experiments and has served on the editorial boards of the Journal of the Royal Statistical Society and Technometrics. Susan Lewis is a Professor of Statistics at the University of Southampton, UK, and Deputy Director of the Southampton Statistical Sciences Research Institute. She has research interests in screening, design algorithms and the design and analysis of experiments in industry. She was awarded the Greenfield Industrial Medal by the Royal Statistical Society in 2005. She has served the Society as a Vice-President and a Member of Council, as well as a former Editor of the Journal of the Royal Statistical Society, Series C (Applied Statistics).
650 0 _aStatistics.
650 1 4 _aStatistics.
650 2 4 _aStatistical Theory and Methods.
650 2 4 _aStatistics for Life Sciences, Medicine, Health Sciences.
650 2 4 _aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
700 1 _aDean, Angela.
_eeditor.
700 1 _aLewis, Susan.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780387280134
856 4 0 _uhttp://dx.doi.org/10.1007/0-387-28014-6
912 _aZDB-2-SMA
950 _aMathematics and Statistics (Springer-11649)
999 _c507403
_d507403