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.

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Christos P. Kitsos, Lutz Edler
Springer Science & Business Media, Dec 6, 2012 - Mathematics - 302 pages
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.
 

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Contents

Quality Engineering Using Robust Design and Analysis
3
Twoway contingency table with natural orderings in both of rows
8
Experimental Design 149
15
The Calibration Problem in Industry 17
16
Case Study of Applying Statistical Techniques for the Quality
27
Taking Multivariate Statistics out into Industry Multivariate
50
An industrial application of PCA and PLS based process
57
Conclusions
63
Robust Inference and Experimental Design for MultiFactor
164
Robust and efficient testing
171
Orthogonal designs and their construction
177
Extended Vrobustness for Twolevel Orthogonal Resolution
183
New Statistical Methods for Analyzing Mutagenicity Assays
201
Application of Statistical Selection Procedures in Biotechnology
209
General remarks on Selection procedures
210
Biotechnology example
214

Breakdown point and consistency
70
Inaccuracy due to incorrect regression model structure
80
Inaccuracy due to random character of the regression
83
Accurate Inferences for the Reliability Function Considering
99
Prediction of Failures that Have Never Occured Exponential Case 111
110
Statistical model and criteria of reliability used
112
Possible modifications of
114
Bayesian approach
115
NeymanPearsons approach
119
Probability of the all year round service without failures
120
Algorithm of Confidence Limits Calculation for the Probability of the Value 1 of a Monotone Boolean Function of Random Variables
123
Method of confidence limits calculation
124
Algorithm for a calculation of the lower confidence limit
129
Concluding remarks
133
Developing a Graphical Interface for PrePosterior Bayesian Analysis
135
Graphical interface for input and output
137
Bayesian approach to Weibull reliability estimation
139
Application results
140
Concluding remarks
146
NonlinearOptimalSequential Experiment Designs
151
Sequential approach
157
Results and discussion
219
Modeling and Computation in Pharmaceutical Statistics when Analyzing Drug Safety
221
Safety described as Stochastic process
222
State specific safety analysis
224
Longitudinal models for Safety analysis
227
A multicenter randomized trial
229
Discussion
230
Isotonic Inference with Particular Interest in Application to Clinical Trials
233
The case of isotonic inference
234
Various extensions of the monotone relationship
235
A complete class lemma
236
Testing a simple ordered alternative in the normal means
237
Testing ordered alternatives in Binomial Probabilities
239
Tests for Linearity and Tests for Zero Slope in Crossover Studies 243
242
The FTest for dose dependency
250
A Nonparametric Combination Method for Dependent Permutation
259
Solutions of testing problems
265
Adaptive parametric trend test
272
Convergence Rates of Simulated AnnealingType
277
The image bluring method
291
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