UID:
almafu_9959329056702883
Umfang:
1 online resource
Ausgabe:
Second edition.
ISBN:
9781118763698
,
1118763696
,
9781118763681
,
1118763688
,
9781118763667
,
1118763661
,
1118456068
,
9781118456064
Serie:
Statistics in practice.
Inhalt:
Fully revised and updated, this book combines a theoretical background with examples and references to R, MINITAB and JMP, enabling practitioners to find state-of-the-art material on both foundation and implementation tools to support their work. Topics addressed include computer-intensive data analysis, acceptance sampling, univariate and multivariate statistical process control, design of experiments, quality by design, and reliability using classical and Bayesian methods. The book can be used for workshops or courses on acceptance sampling, statistical process control, design of experime.
Anmerkung:
Role of Statistical Methods in Modern Industry and Services --
,
different functional areas in industry and services --
,
quality-productivity dilemma --
,
Fire-fighting --
,
Inspection of products --
,
Process control --
,
Quality by design --
,
Information quality and practical statistical efficiency --
,
Chapter highlights --
,
Exercises --
,
Analyzing Variability: Descriptive Statistics --
,
Random phenomena and the structure of observations --
,
Accuracy and precision of measurements --
,
population and the sample --
,
Descriptive analysis of sample values --
,
Frequency distributions of discrete random variables --
,
Frequency distributions of continuous random variables --
,
Statistics of the ordered sample --
,
Statistics of location and dispersion --
,
Prediction intervals --
,
Additional techniques of exploratory data analysis --
,
Box and whiskers plot --
,
Quantile plots --
,
Stem-and-leaf diagrams --
,
Robust statistics for location and dispersion --
,
Chapter highlights --
,
Exercises --
,
Probability Models and Distribution Functions --
,
Basic probability --
,
Events and sample spaces: Formal presentation of random measurements --
,
Basic rules of operations with events: Unions, intersections --
,
Probabilities of events --
,
Probability functions for random sampling --
,
Conditional probabilities and independence of events --
,
Bayes formula and its application --
,
Random variables and their distributions --
,
Discrete and continuous distributions --
,
Expected values and moments of distributions --
,
standard deviation, quantiles, measures of skewness and kurtosis --
,
Moment generating functions --
,
Families of discrete distribution --
,
binomial distribution --
,
hypergeometric distribution --
,
Poisson distribution --
,
geometric and negative binomial distributions --
,
Continuous distributions --
,
uniform distribution on the interval (a, b), a 〈b --
,
normal and log-normal distributions --
,
exponential distribution --
,
gamma and Weibull distributions --
,
Beta distributions --
,
Joint, marginal and conditional distributions --
,
Joint and marginal distributions --
,
Covariance and correlation --
,
Conditional distributions --
,
Some multivariate distributions --
,
multinomial distribution --
,
multi-hypergeometric distribution --
,
bivariate normal distribution --
,
Distribution of order statistics --
,
Linear combinations of random variables --
,
Large sample approximations --
,
law of large numbers --
,
Central Limit Theorem --
,
Some normal approximations --
,
Additional distributions of statistics of normal samples --
,
Distribution of the sample variance --
,
"Student" t-statistic --
,
Distribution of the variance ratio --
,
Chapter highlights --
,
Exercises --
,
Statistical Inference and Bootstrapping --
,
Sampling characteristics of estimators --
,
Some methods of point estimation --
,
Moment equation estimators --
,
method of least squares --
,
Maximum likelihood estimators --
,
Comparison of sample estimates --
,
Basic concepts --
,
Some common one-sample tests of hypotheses --
,
Confidence intervals --
,
Confidence intervals for p; a known --
,
Confidence intervals for y; a unknown --
,
Confidence intervals for a2 --
,
Confidence intervals for p --
,
Tolerance intervals --
,
Tolerance intervals for the normal distributions --
,
Testing for normality with probability plots --
,
Tests of goodness of fit --
,
chi-square test (large samples) --
,
Kolmogorov-Smirnov test --
,
Bayesian decision procedures --
,
Prior and posterior distributions --
,
Bayesian testing and estimation --
,
Credibility intervals for real parameters --
,
Random sampling from reference distributions --
,
Bootstrap sampling --
,
bootstrap method --
,
Examining the bootstrap method --
,
Harnessing the bootstrap method --
,
Bootstrap testing of hypotheses --
,
Bootstrap testing and confidence intervals for the mean --
,
Studentized test for the mean --
,
Studentized test for the difference of two means --
,
Bootstrap tests and confidence intervals for the variance --
,
Comparing statistics of several samples --
,
Bootstrap tolerance intervals --
,
Bootstrap tolerance intervals for Bernoulli samples --
,
Tolerance interval for continuous variables --
,
Distribution-free tolerance intervals --
,
Non-parametric tests --
,
sign test --
,
randomization test --
,
Wilcoxon Signed Rank test --
,
Description of MINITAB macros (available for download from Appendix VI of the book website) --
,
Chapter highlights --
,
Exercises --
,
Variability in Several Dimensions and Regression Models --
,
Graphical display and analysis --
,
Scatterplots --
,
Multiple boxplots --
,
Frequency distributions in several dimensions --
,
Bivariate joint frequency distributions --
,
Conditional distributions --
,
Correlation and regression analysis --
,
Covariances and correlations --
,
Fitting simple regression lines to data --
,
Multiple regression --
,
Regression on two variables --
,
Partial regression and correlation --
,
Multiple linear regression --
,
Partial F-tests and the sequential SS --
,
Model construction: Step-wise regression --
,
Regression diagnostics --
,
Quantal response analysis: Logistic regression --
,
analysis of variance: The comparison of means --
,
statistical model --
,
one-way analysis of variance (ANOVA) --
,
Simultaneous confidence intervals: Multiple comparisons --
,
Contingency tables --
,
structure of contingency tables --
,
Indices of association for contingency tables --
,
Categorical data analysis --
,
Comparison of binomial experiments --
,
Chapter highlights --
,
Exercises --
,
Sampling for Estimation of Finite Population Quantities --
,
Sampling and the estimation problem --
,
Basic definitions --
,
Drawing a random sample from a finite population --
,
Sample estimates of population quantities and their sampling distribution --
,
Estimation with simple random samples --
,
Properties of Xn and S2n, under RSWR --
,
Properties of Xn and S2n, under RSWOR --
,
Estimating the mean with stratified RSWOR --
,
Proportional and optimal allocation --
,
Prediction models with known covariates --
,
Chapter highlights --
,
Exercises --
,
Sampling Plans for Product Inspection --
,
General discussion --
,
Single-stage sampling plans for attributes --
,
Approximate determination of the sampling plan --
,
Double-sampling plans for attributes --
,
Sequential sampling --
,
Acceptance sampling plans for variables --
,
Rectifying inspection of lots --
,
National and international standards --
,
Skip-lot sampling plans for attributes --
,
ISO 2859 skip-lot sampling procedures --
,
Deming inspection criterion --
,
Published tables for acceptance sampling --
,
Chapter highlights --
,
Exercises --
,
Basic Tools and Principles of Process Control --
,
Basic concepts of statistical process control --
,
Driving a process with control charts --
,
Setting up a control chart: Process capability studies --
,
Process capability indices --
,
Seven tools for process control and process improvement --
,
Statistical analysis of Pareto charts --
,
Shewhart control charts --
,
Control charts for attributes --
,
Control charts for variables --
,
Chapter highlights --
,
Exercises --
,
Advanced Methods of Statistical Process Control --
,
Tests of randomness --
,
Testing the number of runs --
,
Runs above and below a specified level --
,
Runs up and down --
,
Testing the length of runs up and down --
,
Modified Shewhart control charts for X --
,
size and frequency of sampling for Shewhart control charts --
,
economic design for X-charts --
,
Increasing the sensitivity of p-charts --
,
Cumulative sum control charts --
,
Upper Page's scheme --
,
Some theoretical background --
,
Lower and two-sided Page's scheme --
,
Average run length, probability of false alarm and conditional expected delay --
,
Bayesian detection --
,
Process tracking --
,
EWMA procedure --
,
BECM procedure --
,
Kalman filter --
,
Hoadley's QMP --
,
Automatic process control --
,
Chapter highlights --
,
Exercises --
,
Multivariate Statistical Process Control --
,
Introduction --
,
review of multivariate data analysis --
,
Multivariate process capability indices --
,
Advanced applications of multivariate control charts --
,
Multivariate control charts scenarios --
,
Internally derived targets --
,
Using an external reference sample --
,
Externally assigned targets.
,
Measurement units considered as batches --
,
Variable decomposition and monitoring indices --
,
Multivariate tolerance specifications --
,
Chapter highlights --
,
Exercises --
,
Classical Design and Analysis of Experiments --
,
Basic steps and guiding principles --
,
Blocking and randomization --
,
Additive and non-additive linear models --
,
analysis of randomized complete block designs --
,
Several blocks, two treatments per block: Paired comparison --
,
Several blocks, t treatments per block --
,
Balanced incomplete block designs --
,
Latin square design --
,
Full factorial experiments --
,
structure of factorial experiments --
,
ANOVA for full factorial designs --
,
Estimating main effects and interactions --
,
2m factorial designs --
,
3m factorial designs --
,
Blocking and fractional replications of 2m factorial designs --
,
Exploration of response surfaces --
,
Second order designs --
,
Some specific second order designs --
,
Approaching the region of the optimal yield --
,
Canonical representation --
,
Chapter highlights --
,
Exercises --
,
Quality by Design --
,
Off-line quality control, parameter design and the Taguchi method --
,
Product and process optimization using loss functions --
,
Major stages in product and process design --
,
Design parameters and noise factors --
,
Parameter design experiments --
,
Performance statistics --
,
effects of non-linearity --
,
Taguchi's designs --
,
Quality by design in the pharmaceutical industry --
,
Introduction to quality by design --
,
quality by design case study -- the full factorial design --
,
quality by design case study -- the profiler and desirability function --
,
quality by design case study -- the design space --
,
Tolerance designs --
,
More case studies --
,
Quinlan experiment at Flex Products, Inc. --
,
Computer response time optimization --
,
Chapter highlights --
,
Exercises --
,
Computer Experiments --
,
Introduction to computer experiments --
,
Designing computer experiments --
,
Analyzing computer experiments --
,
Stochastic emulators --
,
Integrating physical and computer experiments --
,
Chapter highlights --
,
Exercises --
,
Reliability Analysis --
,
Basic notions --
,
Time categories --
,
Reliability and related functions --
,
System reliability --
,
Availability of repairable systems --
,
Types of observations on TTF --
,
Graphical analysis of life data --
,
Non-parametric estimation of reliability --
,
Estimation of life characteristics --
,
Maximum likelihood estimators for exponential TTF distribution --
,
Maximum likelihood estimation of the Weibull parameters --
,
Reliability demonstration --
,
Binomial testing --
,
Exponential distributions --
,
Accelerated life testing --
,
Arrhenius temperature model --
,
Other models --
,
Burn-in procedures --
,
Chapter highlights --
,
Exercises --
,
Bayesian Reliability Estimation and Prediction --
,
Prior and posterior distributions --
,
Loss functions and Bayes estimators --
,
Distribution-free Bayes estimator of reliability --
,
Bayes estimator of reliability for exponential life distributions --
,
Bayesian credibility and prediction intervals --
,
Distribution-free reliability estimation --
,
Exponential reliability estimation --
,
Prediction intervals --
,
Credibility intervals for the asymptotic availability of repairable systems: The exponential case --
,
Empirical Bayes method --
,
Chapter highlights --
,
Exercises.
Weitere Ausg.:
Print version: Kenett, Ron. Modern industrial statistics. Hoboken : John Wiley & Sons Inc., 2014 ISBN 9781118456064
Sprache:
Englisch
Schlagwort(e):
Electronic books.
;
Electronic books.
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781118763667
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781118763667
Bookmarklink
