Kitsos / Edler 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.
1997
ISBN: 978-3-642-59268-3
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 302 Seiten, eBook

Reihe: Contributions to Statistics

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.

Zielgruppe

Research

Autoren/Hrsg.

Kitsos, Christos P.

Edler, Lutz

Inhaltsverzeichnis

Quality Control, Engineering and Monitoring: S.H. Park, J.J. Kim: Quality Engineering Using Robust Design and Analysis; C.P. Kitsos, V.L. Nini: The Calibration Problem in Industry; C. Vourvahi, J. Voutsinas, J. Kiriakidis: Case Study and Applying Statistical Techniques for the Quality Assurance in a Paint Industry; E.B. Martin and A.J. Morris: Taking Multivariate Statistics out into Industry - Multivariate Statistical Progress Control and Process Performance Monitoring; S. Uhlig: Robust Estimation of Variance Components with High Breakdown Point in the 1-Way Random Effect Model; I.N. Vuchkov, L.N. Boyadjieva: Sources of Inaccuracy in the Mean and Variance Models for Quality Improvement Problems.- Reliability and Failure Time Analysis: W.T. Huang, H.T. Lin: Accelerated Life Test with Some Parameter Change in Life Stress Relation; J.A. Achcar, J.C. Fogo: Accurate Inferences for the Reliability Function Considering Accelerated Life Tests; J. Antoch, J. Machek: Prediction of Failures that Have Never Occured - Exponential Case; A.M. Andronov: Algorithm of Confidence Limits Calculation for the Probability of the Value 1 of a Monotone Boolean Function of Random Variables; P. Erto, A. Lanzotti, M. Staiano: Developing a Graphical Interface for Pre-Posterior.- Experimental Design: C.P. Kitsos: Nonlinear-Optimal-Sequential Experiment Designs and Applications; C.H. Müller: Robust Inference and Experimental Design for Multi-Factor Models; C. Koukouvinos: Construction of Some New Orthogonal Main-Effect Designs; C. Mortarino, L. Salmaso: Extended V-robustness for Two-level Orthogonal Resolution V Designs; E. Riccomagno, H.P. Wynn: Computational Algebraic Geometry in Industrial Experimental Design.- Pharmaceutical Statistics: L.A. Hothorn: New Statistical Methods for Analyzing Mutagenicity Assays Real data Problems in Biopharmaceutical Drug Development; U. Römisch, S. Gargova: Application of Statistical Selection Procedures inBiotechnology; L. Edler: Modeling and Computation in Pharmaceutical Statistics when Analyzing Drug Safety; C. Hirotsu: Isotonic Inference with Particular Interest in Application to Clinical Trials; G. Heimann: Tests for Linearity and Tests for Zero Slope in Crossover Studies.- Repeated Measurements - Multiple Inference: F. Pesarin: A Nonparametric Combination Method for Dependent Permutation Tests with Application to Some Problems with Repeated Measures; M. Neuhäuser, L.A. Hothorn: Adaptive Tests for Trend.- Computing, Imaging and Prediction: G. Yin: Convergence Rates of Simulated Annealing-Type of Recursive Algorithms; H. Lauschmann, V. Benes: Spatial Statistics in the Material research; G. Celant: Exact Solutions to the Problem of Predicting a vast Class of Weakly Stationary, Linearly Singular, Discrete Parameter Stochastic Processes.