Autore	Clarke Brenton R.
Pubbl/distr/stampa	London : , : ISTE Ltd
Descrizione fisica	1 online resource (242 pages)
Disciplina	519.5
Collana	Wiley series in probability and statistics
Soggetto topico	Robust statistics
ISBN	1-118-66937-1 1-118-66950-9 1-118-66947-9
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Introduction to asymptotic convergence -- The functional approach -- More results on differentiability -- Multiple root problems -- Differentiability and bias reduction -- Minimum distance estimation and mixture estimation -- L-estimates and trimmed likelihood estimates -- Trimmed likelihood for multivariate data -- Further directions and conclusion.
Record Nr.	UNINA-9910555185003321

Autore	Arner Magnus
Pubbl/distr/stampa	Chichester, England : , : Wiley, , 2014
Descrizione fisica	1 online resource (246 p.)
Disciplina	745.2
Soggetto topico	Industrial design - Statistical methods Robust statistics
ISBN	1-118-84195-6 1-118-84200-6 1-118-84194-8
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Statistical Robust Design; Contents; Preface; 1 What is robust design?; 1.1 The importance of small variation; 1.2 Variance reduction; 1.3 Variation propagation; 1.4 Discussion; 1.4.1 Limitations; 1.4.2 The outline of this book; Exercises; 2 DOE for robust design, part 1; 2.1 Introduction; 2.1.1 Noise factors; 2.1.2 Control factors; 2.1.3 Control-by-noise interactions; 2.2 Combined arrays: An example from the packaging industry; 2.2.1 The experimental array; 2.2.2 Factor effect plots; 2.2.3 Analytical analysis and statistical significance; 2.2.4 Some additional comments on the plotting 2.3 Dispersion effectsExercises; Reference; 3 Noise and control factors; 3.1 Introduction to noise factors; 3.1.1 Categories of noise; 3.2 Finding the important noise factors; 3.2.1 Relating noise to failure modes; 3.2.2 Reducing the number of noise factors; 3.3 How to include noise in a designed experiment; 3.3.1 Compounding of noise factors; 3.3.2 How to include noise in experimentation; 3.3.3 Process parameters; 3.4 Control factors; Exercises; References; 4 Response, signal, and P diagrams; 4.1 The idea of signal and response; 4.1.1 Two situations; 4.2 Ideal functions and P diagrams 4.2.1 Noise or signal factor4.2.2 Control or signal factor; 4.2.3 The scope; 4.3 The signal; 4.3.1 Including a signal in a designed experiment; Exercises; 5 DOE for robust design, part 2; 5.1 Combined and crossed arrays; 5.1.1 Classical DOE versus DOE for robust design; 5.1.2 The structure of inner and outer arrays; 5.2 Including a signal in a designed experiment; 5.2.1 Combined arrays with a signal; 5.2.2 Inner and outer arrays with a signal; 5.3 Crossed arrays versus combined arrays; 5.3.1 Differences in factor aliasing; 5.4 Crossed arrays and split-plot designs 8 Mathematics of robust design8.1 Notational system; 8.2 The objective function; 8.2.1 Multidimensional problems; 8.2.2 Optimization in the presence of a signal; 8.2.3 Matrix formulation; 8.2.4 Pareto optimality; 8.3 ANOVA for robust design; 8.3.1 Traditional ANOVA; 8.3.2 Functional ANOVA; 8.3.3 Sensitivity indices; Exercises; References; 9 Design and analysis of computer experiments; 9.1 Overview of computer experiments; 9.1.1 Robust design; 9.2 Experimental arrays for computer experiments; 9.2.1 Screening designs; 9.2.2 Space filling designs; 9.2.3 Latin hypercubes 9.2.4 Latin hypercube designs and alphabetical optimality criteria
Record Nr.	UNINA-9910138960203321