Statistical design and analysis of experiments : with applications to engineering and science /

Practicing engineers and scientists often have a need to utilize statistical approaches to solving problems in an experimental setting. Yet many have little formal training in statistics. Statistical Design and Analysis of Experiments gives such readers a carefully selected, practical background in...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Mason, Robert L. (Robert Lee), 1946-
Άλλοι συγγραφείς: Gunst, Richard F., 1947-, Hess, James L.
Μορφή: Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York : J. Wiley, 2003.
Έκδοση:2nd ed.
Σειρά:Wiley series in probability and statistics.
Θέματα:
Διαθέσιμο Online:http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=87333
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100 1 |a Mason, Robert L.  |q (Robert Lee),  |d 1946- 
245 1 0 |a Statistical design and analysis of experiments :  |b with applications to engineering and science /  |c Robert L. Mason, Richard F. Gunst, James L. Hess. 
250 |a 2nd ed. 
260 |a New York :  |b J. Wiley,  |c 2003. 
300 |a 1 online resource (xix, 728 pages) :  |b illustrations. 
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490 1 |a Wiley series in probability and statistics 
504 |a Includes bibliographical references and index. 
505 0 |a Statistics in Engineering and Science -- Fundamentals of Statistical Inference -- Inferences on Means and Standard Deviations -- Statistical Principles in Experimental Design -- Factorial Experiments in Completely Randomized Designs -- Analysis of Completely Randomized Designs -- Fractional Factorial Experiments -- Analysis of Fractional Factorial Experiments -- Experiments in Randomized Block Designs -- Analysis of Designs with Random Factor Levels -- Nested Designs -- Special Designs for Process Improvement -- Analysis of Nested Designs and Designs for Process Improvement -- Linear Regression with One Predictor Variable -- Linear Regression with Several Predictor Variables -- Linear Regression with Factors and Covariates as Predictors -- Designs and Analyses for Fitting Response Surfaces -- Model Assessment -- Variable Selection Techniques. 
520 |a Practicing engineers and scientists often have a need to utilize statistical approaches to solving problems in an experimental setting. Yet many have little formal training in statistics. Statistical Design and Analysis of Experiments gives such readers a carefully selected, practical background in the statistical techniques that are most useful to experimenters and data analysts who collect, analyze, and interpret data. 
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650 0 |a Engineering  |x Statistical methods. 
650 0 |a Science  |x Statistical methods. 
650 0 |a Experimental design. 
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650 7 |a Engineering  |x Statistical methods.  |2 fast  |0 (OCoLC)fst00910415 
650 7 |a Experimental design.  |2 fast  |0 (OCoLC)fst00918404 
650 7 |a Science  |x Statistical methods.  |2 fast  |0 (OCoLC)fst01108384 
653 |a Statistics - experimental design. 
655 4 |a Electronic books. 
700 1 |a Gunst, Richard F.,  |d 1947- 
700 1 |a Hess, James L. 
776 0 8 |i Print version:  |a Mason, Robert Lee, 1946-  |t Statistical design and analysis of experiments.  |b 2nd ed.  |d Hoboken, N.J. : J. Wiley, 2003  |z 0471372161  |w (DLC) 2002068951  |w (OCoLC)50124300 
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