KitsosAims and Computational Aspects. Proceedings of the Satellite Conference to the 51st Session of the International Statistical Institute (ISI), Athens, Greece, August 16-17, 1997.
Industrial Statistics
Aims and Computational Aspects. Proceedings of the Satellite Conference to the 51st Session of the International Statistical Institute (ISI), Athens, Greece, August 16-17, 1997.
Ed. by Christos P. Kitsos and Lutz Edler
KitsosAims and Computational Aspects. Proceedings of the Satellite Conference to the 51st Session of the International Statistical Institute (ISI), Athens, Greece, August 16-17, 1997.
Industrial Statistics
Aims and Computational Aspects. Proceedings of the Satellite Conference to the 51st Session of the International Statistical Institute (ISI), Athens, Greece, August 16-17, 1997.
Ed. by Christos P. Kitsos and Lutz Edler
- Broschiertes Buch
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
Devoted to the growing impact of statistical methodology and statistical computing in industry the aim of this book is to link the three components: Statistics - industry - computers. Different areas of industrial statistics are presented by a number of excellent contributions. The following topics are covered: Quality control, engineering and monitoring; reliability and failure time analysis, experimental design; repeated measurements - multiple inference; pharma - statistics; computing, imaging and perception. This book concentrates on the interface between statistical needs in industry and…mehr
Andere Kunden interessierten sich auch für
- AtkinsonMODA 5 - Advances in Model-Oriented Data Analysis and Experimental Design77,99 €
- P. Koch MedinaMathematical Finance and Probability50,99 €
- Paul GlassermanMonte Carlo Methods in Financial Engineering61,99 €
- Paul GlassermanMonte Carlo Methods in Financial Engineering44,99 €
- Computational Aspects of Model Choice77,99 €
- Steven ShreveStochastic Calculus for Finance I59,80 €
- Steven ShreveStochastic Calculus for Finance I45,99 €
-
-
-
Devoted to the growing impact of statistical methodology and statistical computing in industry the aim of this book is to link the three components: Statistics - industry - computers. Different areas of industrial statistics are presented by a number of excellent contributions. The following topics are covered: Quality control, engineering and monitoring; reliability and failure time analysis, experimental design; repeated measurements - multiple inference; pharma - statistics; computing, imaging and perception. This book concentrates on the interface between statistical needs in industry and statistical methods developed by statisticians and engineers.
Produktdetails
- Produktdetails
- Contributions to Statistics
- Verlag: Physica / Physica-Verlag / Physica-Verlag HD
- Artikelnr. des Verlages: 978-3-7908-1042-4
- 1997.
- Seitenzahl: 324
- Erscheinungstermin: 13. August 1997
- Englisch
- Abmessung: 235mm x 155mm x 18mm
- Gewicht: 480g
- ISBN-13: 9783790810424
- ISBN-10: 3790810428
- Artikelnr.: 07217957
- Herstellerkennzeichnung
- Physica Verlag
- Tiergartenstr. 17
- 69121 Heidelberg
- ProductSafety@springernature.com
- Contributions to Statistics
- Verlag: Physica / Physica-Verlag / Physica-Verlag HD
- Artikelnr. des Verlages: 978-3-7908-1042-4
- 1997.
- Seitenzahl: 324
- Erscheinungstermin: 13. August 1997
- Englisch
- Abmessung: 235mm x 155mm x 18mm
- Gewicht: 480g
- ISBN-13: 9783790810424
- ISBN-10: 3790810428
- Artikelnr.: 07217957
- Herstellerkennzeichnung
- Physica Verlag
- Tiergartenstr. 17
- 69121 Heidelberg
- ProductSafety@springernature.com
I. Quality Control, Engineering and Monitoring.- Quality Engineering Using Robust Design and Analysis.- The Calibration Problem in Industry.- Case Study of Applying Statistical Techniques for the Quality Assurance in a Paint Industry.- Taking Multivariate Statistics out into Industry - Multivariate Statistical Progress Control and Process Performance Monitoring.- Robust Estimation of Variance Components with High Breakdown Point in the 1-Way Random Effect Model.- Sources of Inaccuracy in the Mean and Variance Models for Quality Improvement Problems.- II. Reliability and Failure Time Analysis.- Accelerated Life Test with Some Parameter Change in Life Stress Relation.- Accurate Inferences for the Reliability Function Considering Accelerated Life Tests.- Prediction of Failures that Have Never Occured - Exponential Case.- Algorithm of Confidence Limits Calculation for the Probability of the Value 1 of a Monotone Boolean Function of Random Variables.- Developing a Graphical Interface for Pre-Posterior Bayesian Analysis.- III. Experimental Design.- Nonlinear-Optimal-Sequential Experiment Designs and Applications.- Robust Inference and Experimental Design for Multi-Factor Models.- Construction of Some New Orthogonal Main-Effect Designs.- Extended V-robustness for Two-level Orthogonal Resolution V Designs.- Computational Algebraic Geometry in Industrial Experimental Design.- IV. Pharmaceutical Statistics.- New Statistical Methods for Analyzing Mutagenicity Assays Real Data Problems in Biopharmaceutical Drug Development:.- Application of Statistical Selection Procedures in Biotechnology.- Modeling and Computation in Pharmaceutical Statistics when Analyzing Drug Safety.- Isotonic Inference with Particular Interest in Application to Clinical Trials.- Tests for Linearity andTests for Zero Slope in Crossover Studies.- V. Repeated Measurements - Multiple Inference.- A Nonparametric Combination Method for Dependent Permutation Tests with Application to Some Problems with Repeated Measures.- Adaptive Tests for Trend.- VI. Computing, Imaging and Prediction.- Convergence Rates of Simulated Annealing-Type of Recursive Algorithms.- Spatial Statistics in the Material Research.- Exact Solutions to the Problem of Predicting a Vast Class of Weakly Stationary, Linearly Singular, Discrete Parameter Stochastic Processes.
I. Quality Control, Engineering and Monitoring.- Quality Engineering Using Robust Design and Analysis.- The Calibration Problem in Industry.- Case Study of Applying Statistical Techniques for the Quality Assurance in a Paint Industry.- Taking Multivariate Statistics out into Industry - Multivariate Statistical Progress Control and Process Performance Monitoring.- Robust Estimation of Variance Components with High Breakdown Point in the 1-Way Random Effect Model.- Sources of Inaccuracy in the Mean and Variance Models for Quality Improvement Problems.- II. Reliability and Failure Time Analysis.- Accelerated Life Test with Some Parameter Change in Life Stress Relation.- Accurate Inferences for the Reliability Function Considering Accelerated Life Tests.- Prediction of Failures that Have Never Occured - Exponential Case.- Algorithm of Confidence Limits Calculation for the Probability of the Value 1 of a Monotone Boolean Function of Random Variables.- Developing a Graphical Interface for Pre-Posterior Bayesian Analysis.- III. Experimental Design.- Nonlinear-Optimal-Sequential Experiment Designs and Applications.- Robust Inference and Experimental Design for Multi-Factor Models.- Construction of Some New Orthogonal Main-Effect Designs.- Extended V-robustness for Two-level Orthogonal Resolution V Designs.- Computational Algebraic Geometry in Industrial Experimental Design.- IV. Pharmaceutical Statistics.- New Statistical Methods for Analyzing Mutagenicity Assays Real Data Problems in Biopharmaceutical Drug Development:.- Application of Statistical Selection Procedures in Biotechnology.- Modeling and Computation in Pharmaceutical Statistics when Analyzing Drug Safety.- Isotonic Inference with Particular Interest in Application to Clinical Trials.- Tests for Linearity andTests for Zero Slope in Crossover Studies.- V. Repeated Measurements - Multiple Inference.- A Nonparametric Combination Method for Dependent Permutation Tests with Application to Some Problems with Repeated Measures.- Adaptive Tests for Trend.- VI. Computing, Imaging and Prediction.- Convergence Rates of Simulated Annealing-Type of Recursive Algorithms.- Spatial Statistics in the Material Research.- Exact Solutions to the Problem of Predicting a Vast Class of Weakly Stationary, Linearly Singular, Discrete Parameter Stochastic Processes.