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
Saved in:
| Format: | Book |
|---|---|
| Language: | English |
| Published: |
Heidelberg u. a.
Physica-Verl.
1997
|
| Series: | Contributions to statistics
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XVII, 302 S. graph. Darst. |
| ISBN: | 3790810428 |
Staff View
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| 245 | 1 | 0 | |a Industrial statistics |b 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 |c Christos P. Kitsos ... (ed.) |
| 264 | 1 | |a Heidelberg u. a. |b Physica-Verl. |c 1997 | |
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Record in the Search Index
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| adam_text | Contents
I. Quality Control, Engineering and Monitoring
1
Quality Engineering Using Robust Design and Analysis
3
Sung h. park and jae j.
кім
1.
Introduction
........................................................................................... 3
2.
Quality engineering and quality management
.......................................... 4
3.
Parameter design
................................................................................... 7
The Calibration Problem in Industry
17
CHRISTOS P. KITSOS AND V. L. NtNI
1.
Introduction
.......................................................................................... 17
2.
Background
.......................................................................................... 18
3.
Optimal design approach
.......................................................................20
4.
Applications
..........................................................................................21
Case Study of Applying Statistical Techniques for the Quality
Assurance in a Paint Industry
27
С
VOURVAHI, J.VOUTSINAS AND J. KIRIAKIDIS
1.
Introduction
..........................................................................................27
2.
Generally about
SPC
.............................................................................28
3.
SPC
in CHROTEX until
1996...............................................................28
4.
New steps for CHROTEX with
SPC
..................................................... 30
5.
Process capability indexes
.....................................................................33
6.
Applications of
SPC
.............................................................................. 34
7.
Conclusions
..........................................................................................35
χ
Taking Multivariate Statistics out into Industry
-
Multivariate
Statistical Progress Control and Process Performance Monitoring
51
ELAINE B. MARTIN AND A. JULIAN MORRIS
1.
Introduction
.......................................................................................... 51
2.
Strategic importance of the approach
....................................................52
3.
An overview of statistical process control
............................................. 52
4.
Multivariate statistical process control
..................................................53
5.
Process performance monitoring charts
................................................. 55
6.
An industrial application of PC A and PLS based process
performance monitoring
.......................................................................57
7.
Conclusions
..........................................................................................63
Robust Estimation of Variance Components with High
Breakdown Point in the 1-Way Random Effect Model
65
STEFFEN UHLIG
1.
Introduction
..........................................................................................65
2.
Definitions
............................................................................................66
3.
Breakdown point and consistency
......................................................... 70
4.
Simulation study and discussion
............................................................71
5.
Example
.:.............................................................................................72
Sources of Inaccuracy in the Mean and Variance
Modets
for
Quality Improvement Problems
75
IVAN
N.
VUCHKOV AND
LIDIA
N.
BOYADJIEVA
1.
Introduction
..........................................................................................75
2.
Inaccuracy due to incorrect regression model structure
.........................80
XI
3.
Inaccuracy due to neglecting the high order error distribution
moments and the high order terms on the variance model
......................82
4.
Inaccuracy due to random character of the regression
coefficients estimates
........................................................................... 83
П.
Reliability and Failure Time Analysis
87
Accelerated Life Test with Some Parameter Change in
Life Stress Relation
89
HUANG WEN-TAO AND LIN HUEI-TSAN
1.
Introduction
.......................................................................................... 89
2.
Model assumptions
...............................................................................91
3.
Examples
..............................................................................................92
Accurate Inferences for the Reliability Function Considering
Accelerated Life Tests
99
JORGE ALBERTO ACHC
AR
AND JOSE CARLOS
FOGO
1. Introduction
..........................................................................................99
2.
An useful reparametrization for the reliability function at time t0
...........101
3.
The exponential case
............................................................................102
4.
An example
..........................................................................................103
5.
Concluding remarks
.............................................................................107
XII
Prediction of Failures that Have Never Occured
-
Exponential Case HI
JAROMÍR
ANTOCH AND JOSEF MAC
HEK
1.
Problem
...............................................................................................
Ш
2.
Statistical model and criteria of reliability used
.....................................112
3.
Model and basic estimators
..................................................................112
4.
Possible modifications of
λ
.................................................................114
5.
Bayesian approach.....
..........................................................................115
6.
Neyman-Pearson s approach
................................................................119
7.
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
ALEXANDER M. ANDRONOV
1.
Introduction
.........................................................................................123
2.
Method of confidence limits calculation
...............................................124
3.
Algorithm for a calculation of the lower confidence limit
......................129
4.
Concluding remarks
.............................................................................133
Developing
ä
Graphical Interface for Pre-Posterior
Bayesian Analysis
135
PASQUALE ERTO,
ANTONIO LANZOTTI AND
MICHELE STAIANO
1.
Introduction
.........................................................................................135
2.
Graphical interface for input and output
...............................................137
3.
Bayesian approach to Weibull reliability estimation
..............................139
4.
Application results
...............................................................................140
5.
Concluding remarks
.............................................................................146
Ш.
Experimental Design
149
Nonlinear-Optimal-Sequential Experiment Designs and
Applications
151
CHRISTOS P. KITSOS
1.
Introduction
.........................................................................................151
2.
Background
.........................................................................................152
3.
Optimality criteria
................................................................................155
4.
Sequential approach
.............................................................................157
5.
Applications
.........................................................................................159
6.
Discussion
...........................................................................................162
Robust Inference and Experimental Design for Multi-Factor
Models
165
CHRISTINE H.
MÜLLER
1.
Introduction
.........................................................................................165
2.
Robust and efficient estimation
............................................................167
3.
Robust and efficient testing
..................................................................171
Construction of Some New Orthogonal Main-Effect Designs
175
CHRISTOS KOUKOUVINOS
1.
Introduction
.........................................................................................175
2.
Orthogonal designs and their construction
............................................177
3.
New orthogonal designs and sequences with zero
autocorrelation function
.......................................................................179
Extended V-robustness for Two-level Orthogonal Resolution
V Designs
183
CINZIA
MORTARINO AND
LUIGI
SALMASO
1.
Introduction
.........................................................................................183
2.
V-robust covariance patterns
...............................................................184
3.
V-robustness for orthogonal designs with
N=48, 96
runs
.....................186
4.
V-robustness for orthogonal designs with
N=80, 112
runs
...................189
Computational Algebraic Geometry in Industrial
Experimental Design
193
E. RlCCOMAGNO AND HENRY P. WYNN
1.
Algebraic geometry in the design of experiments
..................................193
2.
The background algebra
....................................................................... 194
3.
Fans
und
computer experiments
...........................................................195
4.
Models as varieties
...............................................................................196
IV. Pharmaceutical Statistics
199
New Statistical Methods for Analyzing Mutagenicity Assays
Real Data Problems in Biopharmaceutical Drug Development:
201
LUDWIG
A. HOTHORN
1.
Introduction
.........................................................................................201
2.
Proof and hazard versus pro of on safety
...............................................203
3.
Real data problems in the testing procedure on difference
....................204
4.
The example
........................................................................................206
5.
Conclusions
.........................................................................................207
Application
of Statistical Selection Procedures in Biotechnology
209
UTE RÖMISCH
AND
S. GARGOVA
1.
Introduction
.........................................................................................209
2.
General remarks on selection procedures
.............................................210
3.
Biotechnology example
........................................................................214
4.
Results and discussion
..........................................................................219
Modeling and Computation in Pharmaceutical Statistics
when Analyzing Drug Safety
221
LUTZ EDLER
1.
Introduction
.........................................................................................221
2.
Safety described as stochastic process
..................................................222
3.
State specific safety analysis
.................................................................224
4.
Longitudinal models for safety analysis
................................................227
5.
Example: A multicenter randomized trial
..............................................229
6.
Discussion
...........................................................................................230
Isotonic Inference with Particular Interest in Application to
Clinical Trials
233
CHIHIRO HIROTSU
1.
Introduction
.........................................................................................233
2.
The case of isotonic inference
..............................................................234
3.
Various extensions of the monotone relationship
..................................235
4.
A complete class lemma
.......................................................................236
5.
Testing a simple ordered alternative in the normal means
......................237
6.
Testing ordered alternatives in Binomial Probabilities
...........................239
7.
Analyzing a two-way contingency table with ordered
column categories
...............................................................................239
8.
Two-way contingency table with natural
orderings
in both of rows and
columns
...............................................................................................240
Tests for Linearity and Tests for Zero Slope in Crossover Studies
243
GÜNTHER HEIMANN
1.
Introduction
.........................................................................................244
2.
The statistical model
............................................................................246
3.
The F-Test for linearity
........................................................................248
4.
The F-Test for dose dependency
..........................................................250
5.
Derivation and optimality of the tests
...................................................252
V. Repeated Measurements
-
Multiple Inference
257
A Non para
metric Combination Method for Dependent Permutation
Tests with Application to Some Problems with Repeated Measures
259
FORTUNATO
PESARIN
1.
Introduction
.........................................................................................259
2.
A model with additive effects
...............................................................260
3.
The hypotheses of interest
....................................................................261
4.
The nonparametric combination method
...............................................263
5.
Solutions of testing problems
...............................................................265
6.
Some evaluations for the stochastic dominance test
..............................266
Adaptive Tests for Trend
269
MARKUS NEUHÄUSER
AND
LUDWIG
A. HOTHORN
1.
Introduction
.........................................................................................269
2.
Adaptive nonparametric trend test
........................................................270
3.
Adaptive parametric trend test
.............................................................272
VI.
Computing,
Imaging and Prediction
275
Convergence Rates of Simulated Annealing-Type of
Recursive Algorithms
277
GEORGE YIN
1.
Introduction
.........................................................................................277
2.
Main results
.........................................................................................278
3.
Further discussion
................................................................................280
Spatial Statistics in the Material Research
285
HYNEK
LAUSCHMANN
AND VIKTOR BENES
1. Introduction
.........................................................................................285
2.
Stereological unfolding problem
...........................................................286
3.
Modeling and estimating the particle damage
.......................................288
4.
Quantitative fractography
.....................................................................289
5.
The image bluring method
....................................................................291
Exact Solutions to the Problem of Predicting a Vast Class
of Weakly Stationary, Linearly Singular, Discrete Parameter
Stochastic Processes
295
GEORGIO
CELANT
1.
Introduction
.........................................................................................295
2.
Singular processes: Definitions and characteristics
...............................296
3.
Analytical properties of the process
......................................................296
4.
Calculation of coefficients for a few simple cases
.................................298
5.
Calculation of coefficients in a general case
..........................................299
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| indexdate | 2024-07-09T18:10:07Z |
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| record_format | marc |
| series2 | Contributions to statistics |
| spelling | 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 Christos P. Kitsos ... (ed.) Heidelberg u. a. Physica-Verl. 1997 XVII, 302 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Contributions to statistics Bedrijfsstatistiek gtt Gestion d'entreprise - Méthodes statistiques - Congrès ram Statistique industrielle - Congrès ram Statistique industrielle - Informatique - Congrès ram Datenverarbeitung Industrial management Statistical methods Congresses Industrial statistics Data processing Congresses Industrial statistics Methodology Congresses Statistik (DE-588)4056995-0 gnd rswk-swf Industrie (DE-588)4026779-9 gnd rswk-swf Betriebswirtschaftliche Statistik (DE-588)4006243-0 gnd rswk-swf (DE-588)1071861417 Konferenzschrift 1997 Athen gnd-content Betriebswirtschaftliche Statistik (DE-588)4006243-0 s DE-604 Industrie (DE-588)4026779-9 s Statistik (DE-588)4056995-0 s Kitsos, Christos P. 1951- Sonstige (DE-588)115518819 oth International Statistical Institute Sonstige (DE-588)6064-1 oth Digitalisierung UB Augsburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007707990&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | 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 Bedrijfsstatistiek gtt Gestion d'entreprise - Méthodes statistiques - Congrès ram Statistique industrielle - Congrès ram Statistique industrielle - Informatique - Congrès ram Datenverarbeitung Industrial management Statistical methods Congresses Industrial statistics Data processing Congresses Industrial statistics Methodology Congresses Statistik (DE-588)4056995-0 gnd Industrie (DE-588)4026779-9 gnd Betriebswirtschaftliche Statistik (DE-588)4006243-0 gnd |
| subject_GND | (DE-588)4056995-0 (DE-588)4026779-9 (DE-588)4006243-0 (DE-588)1071861417 |
| title | 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 |
| title_auth | 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 |
| title_exact_search | 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 |
| title_full | 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 Christos P. Kitsos ... (ed.) |
| title_fullStr | 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 Christos P. Kitsos ... (ed.) |
| title_full_unstemmed | 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 Christos P. Kitsos ... (ed.) |
| title_short | Industrial statistics |
| title_sort | 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 |
| title_sub | 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 |
| topic | Bedrijfsstatistiek gtt Gestion d'entreprise - Méthodes statistiques - Congrès ram Statistique industrielle - Congrès ram Statistique industrielle - Informatique - Congrès ram Datenverarbeitung Industrial management Statistical methods Congresses Industrial statistics Data processing Congresses Industrial statistics Methodology Congresses Statistik (DE-588)4056995-0 gnd Industrie (DE-588)4026779-9 gnd Betriebswirtschaftliche Statistik (DE-588)4006243-0 gnd |
| topic_facet | Bedrijfsstatistiek Gestion d'entreprise - Méthodes statistiques - Congrès Statistique industrielle - Congrès Statistique industrielle - Informatique - Congrès Datenverarbeitung Industrial management Statistical methods Congresses Industrial statistics Data processing Congresses Industrial statistics Methodology Congresses Statistik Industrie Betriebswirtschaftliche Statistik Konferenzschrift 1997 Athen |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007707990&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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