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.
Inhaltsverzeichnis
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.
