Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Modern experimental design [[electronic resource] /] / Thomas P. Ryan
| Modern experimental design [[electronic resource] /] / Thomas P. Ryan |
| Autore | Ryan Thomas P. <1945-> |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2007 |
| Descrizione fisica | 1 online resource (619 p.) |
| Disciplina |
519.5
519.57 |
| Collana | Wiley series in probability and statistics |
| Soggetto topico | Experimental design |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-82184-1
9786610821846 0-470-07435-3 0-470-07434-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Modern Experimental Design; Contents; Preface; 1 Introduction; 1.1 Experiments All Around Us; 1.2 Objectives for Experimental Designs; 1.3 Planned Experimentation versus Use of Observational Data; 1.4 Basic Design Concepts; 1.4.1 Randomization; 1.4.2 Replication versus Repeated Measurements; 1.4.3 Example; 1.4.4 Size of an Effect That Can be Detected; 1.5 Terminology; 1.6 Steps for the Design of Experiments; 1.6.1 Recognition and Statement of the Problem; 1.6.2 Selection of Factors and Levels; 1.6.2.1 Choice of Factors; 1.6.2.2 Choice of Levels
1.7 Processes Should Ideally be in a State of Statistical Control1.8 Types of Experimental Designs; 1.9 Analysis of Means; 1.10 Missing Data; 1.11 Experimental Designs and Six Sigma; 1.12 Quasi-Experimental Design; 1.13 Summary; References; Exercises; 2 Completely Randomized Design; 2.1 Completely Randomized Design; 2.1.1 Model; 2.1.2 Example: One Factor, Two Levels; 2.1.2.1 Assumptions; 2.1.3 Examples: One Factor, More Than Two Levels; 2.1.3.1 Multiple Comparisons; 2.1.3.2 Unbalanced and Missing Data; 2.1.3.3 Computations; 2.1.4 Example Showing the Effect of Unequal Variances 2.2 Analysis of Means2.2.1 ANOM for a Completely Randomized Design; 2.2.1.1 Example; 2.2.2 ANOM with Unequal Variances; 2.2.2.1 Applications; 2.2.3 Nonparametric ANOM; 2.2.4 ANOM for Attributes Data; 2.3 Software for Experimental Design; 2.4 Missing Values; 2.5 Summary; Appendix; References; Exercises; 3 Designs that Incorporate Extraneous (Blocking) Factors; 3.1 Randomized Block Design; 3.1.1 Assumption; 3.1.2 Blocking an Out-of-Control Process; 3.1.3 Efficiency of a Randomized Block Design; 3.1.4 Example; 3.1.4.1 Critique; 3.1.5 ANOM; 3.2 Incomplete Block Designs 3.2.1 Balanced Incomplete Block Designs3.2.1.1 Analysis; 3.2.1.2 Recovery of Interblock Information; 3.2.1.3 ANOM; 3.2.2 Partially Balanced Incomplete Block Designs; 3.2.2.1 Lattice Design; 3.2.3 Nonparametric Analysis for Incomplete Block Designs; 3.2.4 Other Incomplete Block Designs; 3.3 Latin Square Design; 3.3.1 Assumptions; 3.3.2 Model; 3.3.3 Example; 3.3.4 Efficiency of a Latin Square Design; 3.3.5 Using Multiple Latin Squares; 3.3.6 ANOM; 3.4 Graeco-Latin Square Design; 3.4.1 Model; 3.4.2 Degrees of Freedom Limitations on the Design Construction 3.4.3 Sets of Graeco-Latin Square Designs3.4.4 Application; 3.4.5 ANOM; 3.5 Youden Squares; 3.5.1 Model; 3.5.2 Lists of Youden Designs; 3.5.3 Using Replicated Youden Designs; 3.5.4 Analysis; 3.6 Missing Values; 3.7 Software; 3.8 Summary; References; Exercises; 4 Full Factorial Designs with Two Levels; 4.1 The Nature of Factorial Designs; 4.2 The Deleterious Effects of Interactions; 4.2.1 Conditional Effects; 4.2.1.1 Sample Sizes for Conditional Effects Estimation; 4.2.2 Can We "Transform Away" Interactions?; 4.3 Effect Estimates; 4.4 Why Not One-Factor-at-a-Time Designs? 4.5 ANOVA Table for Unreplicated Two-Factor Design? |
| Record Nr. | UNINA-9910143564003321 |
Ryan Thomas P. <1945->
|
||
| Hoboken, N.J., : Wiley-Interscience, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Modern experimental design [[electronic resource] /] / Thomas P. Ryan
| Modern experimental design [[electronic resource] /] / Thomas P. Ryan |
| Autore | Ryan Thomas P. <1945-> |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2007 |
| Descrizione fisica | 1 online resource (619 p.) |
| Disciplina |
519.5
519.57 |
| Collana | Wiley series in probability and statistics |
| Soggetto topico | Experimental design |
| ISBN |
1-280-82184-1
9786610821846 0-470-07435-3 0-470-07434-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Modern Experimental Design; Contents; Preface; 1 Introduction; 1.1 Experiments All Around Us; 1.2 Objectives for Experimental Designs; 1.3 Planned Experimentation versus Use of Observational Data; 1.4 Basic Design Concepts; 1.4.1 Randomization; 1.4.2 Replication versus Repeated Measurements; 1.4.3 Example; 1.4.4 Size of an Effect That Can be Detected; 1.5 Terminology; 1.6 Steps for the Design of Experiments; 1.6.1 Recognition and Statement of the Problem; 1.6.2 Selection of Factors and Levels; 1.6.2.1 Choice of Factors; 1.6.2.2 Choice of Levels
1.7 Processes Should Ideally be in a State of Statistical Control1.8 Types of Experimental Designs; 1.9 Analysis of Means; 1.10 Missing Data; 1.11 Experimental Designs and Six Sigma; 1.12 Quasi-Experimental Design; 1.13 Summary; References; Exercises; 2 Completely Randomized Design; 2.1 Completely Randomized Design; 2.1.1 Model; 2.1.2 Example: One Factor, Two Levels; 2.1.2.1 Assumptions; 2.1.3 Examples: One Factor, More Than Two Levels; 2.1.3.1 Multiple Comparisons; 2.1.3.2 Unbalanced and Missing Data; 2.1.3.3 Computations; 2.1.4 Example Showing the Effect of Unequal Variances 2.2 Analysis of Means2.2.1 ANOM for a Completely Randomized Design; 2.2.1.1 Example; 2.2.2 ANOM with Unequal Variances; 2.2.2.1 Applications; 2.2.3 Nonparametric ANOM; 2.2.4 ANOM for Attributes Data; 2.3 Software for Experimental Design; 2.4 Missing Values; 2.5 Summary; Appendix; References; Exercises; 3 Designs that Incorporate Extraneous (Blocking) Factors; 3.1 Randomized Block Design; 3.1.1 Assumption; 3.1.2 Blocking an Out-of-Control Process; 3.1.3 Efficiency of a Randomized Block Design; 3.1.4 Example; 3.1.4.1 Critique; 3.1.5 ANOM; 3.2 Incomplete Block Designs 3.2.1 Balanced Incomplete Block Designs3.2.1.1 Analysis; 3.2.1.2 Recovery of Interblock Information; 3.2.1.3 ANOM; 3.2.2 Partially Balanced Incomplete Block Designs; 3.2.2.1 Lattice Design; 3.2.3 Nonparametric Analysis for Incomplete Block Designs; 3.2.4 Other Incomplete Block Designs; 3.3 Latin Square Design; 3.3.1 Assumptions; 3.3.2 Model; 3.3.3 Example; 3.3.4 Efficiency of a Latin Square Design; 3.3.5 Using Multiple Latin Squares; 3.3.6 ANOM; 3.4 Graeco-Latin Square Design; 3.4.1 Model; 3.4.2 Degrees of Freedom Limitations on the Design Construction 3.4.3 Sets of Graeco-Latin Square Designs3.4.4 Application; 3.4.5 ANOM; 3.5 Youden Squares; 3.5.1 Model; 3.5.2 Lists of Youden Designs; 3.5.3 Using Replicated Youden Designs; 3.5.4 Analysis; 3.6 Missing Values; 3.7 Software; 3.8 Summary; References; Exercises; 4 Full Factorial Designs with Two Levels; 4.1 The Nature of Factorial Designs; 4.2 The Deleterious Effects of Interactions; 4.2.1 Conditional Effects; 4.2.1.1 Sample Sizes for Conditional Effects Estimation; 4.2.2 Can We "Transform Away" Interactions?; 4.3 Effect Estimates; 4.4 Why Not One-Factor-at-a-Time Designs? 4.5 ANOVA Table for Unreplicated Two-Factor Design? |
| Record Nr. | UNINA-9910830049003321 |
|
Ryan Thomas P. <1945->
|
||
| Hoboken, N.J., : Wiley-Interscience, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Modern experimental design [[electronic resource] /] / Thomas P. Ryan
| Modern experimental design [[electronic resource] /] / Thomas P. Ryan |
| Autore | Ryan Thomas P. <1945-> |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2007 |
| Descrizione fisica | 1 online resource (619 p.) |
| Disciplina |
519.5
519.57 |
| Collana | Wiley series in probability and statistics |
| Soggetto topico | Experimental design |
| ISBN |
1-280-82184-1
9786610821846 0-470-07435-3 0-470-07434-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Modern Experimental Design; Contents; Preface; 1 Introduction; 1.1 Experiments All Around Us; 1.2 Objectives for Experimental Designs; 1.3 Planned Experimentation versus Use of Observational Data; 1.4 Basic Design Concepts; 1.4.1 Randomization; 1.4.2 Replication versus Repeated Measurements; 1.4.3 Example; 1.4.4 Size of an Effect That Can be Detected; 1.5 Terminology; 1.6 Steps for the Design of Experiments; 1.6.1 Recognition and Statement of the Problem; 1.6.2 Selection of Factors and Levels; 1.6.2.1 Choice of Factors; 1.6.2.2 Choice of Levels
1.7 Processes Should Ideally be in a State of Statistical Control1.8 Types of Experimental Designs; 1.9 Analysis of Means; 1.10 Missing Data; 1.11 Experimental Designs and Six Sigma; 1.12 Quasi-Experimental Design; 1.13 Summary; References; Exercises; 2 Completely Randomized Design; 2.1 Completely Randomized Design; 2.1.1 Model; 2.1.2 Example: One Factor, Two Levels; 2.1.2.1 Assumptions; 2.1.3 Examples: One Factor, More Than Two Levels; 2.1.3.1 Multiple Comparisons; 2.1.3.2 Unbalanced and Missing Data; 2.1.3.3 Computations; 2.1.4 Example Showing the Effect of Unequal Variances 2.2 Analysis of Means2.2.1 ANOM for a Completely Randomized Design; 2.2.1.1 Example; 2.2.2 ANOM with Unequal Variances; 2.2.2.1 Applications; 2.2.3 Nonparametric ANOM; 2.2.4 ANOM for Attributes Data; 2.3 Software for Experimental Design; 2.4 Missing Values; 2.5 Summary; Appendix; References; Exercises; 3 Designs that Incorporate Extraneous (Blocking) Factors; 3.1 Randomized Block Design; 3.1.1 Assumption; 3.1.2 Blocking an Out-of-Control Process; 3.1.3 Efficiency of a Randomized Block Design; 3.1.4 Example; 3.1.4.1 Critique; 3.1.5 ANOM; 3.2 Incomplete Block Designs 3.2.1 Balanced Incomplete Block Designs3.2.1.1 Analysis; 3.2.1.2 Recovery of Interblock Information; 3.2.1.3 ANOM; 3.2.2 Partially Balanced Incomplete Block Designs; 3.2.2.1 Lattice Design; 3.2.3 Nonparametric Analysis for Incomplete Block Designs; 3.2.4 Other Incomplete Block Designs; 3.3 Latin Square Design; 3.3.1 Assumptions; 3.3.2 Model; 3.3.3 Example; 3.3.4 Efficiency of a Latin Square Design; 3.3.5 Using Multiple Latin Squares; 3.3.6 ANOM; 3.4 Graeco-Latin Square Design; 3.4.1 Model; 3.4.2 Degrees of Freedom Limitations on the Design Construction 3.4.3 Sets of Graeco-Latin Square Designs3.4.4 Application; 3.4.5 ANOM; 3.5 Youden Squares; 3.5.1 Model; 3.5.2 Lists of Youden Designs; 3.5.3 Using Replicated Youden Designs; 3.5.4 Analysis; 3.6 Missing Values; 3.7 Software; 3.8 Summary; References; Exercises; 4 Full Factorial Designs with Two Levels; 4.1 The Nature of Factorial Designs; 4.2 The Deleterious Effects of Interactions; 4.2.1 Conditional Effects; 4.2.1.1 Sample Sizes for Conditional Effects Estimation; 4.2.2 Can We "Transform Away" Interactions?; 4.3 Effect Estimates; 4.4 Why Not One-Factor-at-a-Time Designs? 4.5 ANOVA Table for Unreplicated Two-Factor Design? |
| Record Nr. | UNINA-9910841530103321 |
|
Ryan Thomas P. <1945->
|
||
| Hoboken, N.J., : Wiley-Interscience, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Modern regression methods / / Thomas P. Ryan
| Modern regression methods / / Thomas P. Ryan |
| Autore | Ryan Thomas P. <1945-> |
| Pubbl/distr/stampa | John Wiley & Sons, Inc |
| Disciplina | 519.5/36 |
| Soggetto topico | Regression analysis |
| ISBN | 1-5231-1831-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Modern Regression Methods |
| Record Nr. | UNINA-9910270945003321 |
|
Ryan Thomas P. <1945->
|
||
| John Wiley & Sons, Inc | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Modern regression methods / / Thomas P. Ryan
| Modern regression methods / / Thomas P. Ryan |
| Autore | Ryan Thomas P. <1945-> |
| Pubbl/distr/stampa | John Wiley & Sons, Inc |
| Disciplina | 519.5/36 |
| Soggetto topico | Regression analysis |
| ISBN | 1-5231-1831-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Modern Regression Methods |
| Record Nr. | UNINA-9910830627003321 |
|
Ryan Thomas P. <1945->
|
||
| John Wiley & Sons, Inc | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Modern regression methods / / Thomas P. Ryan
| Modern regression methods / / Thomas P. Ryan |
| Autore | Ryan Thomas P. <1945-> |
| Pubbl/distr/stampa | John Wiley & Sons, Inc |
| Disciplina | 519.5/36 |
| Soggetto topico | Regression analysis |
| ISBN | 1-5231-1831-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Modern Regression Methods |
| Record Nr. | UNINA-9910840941503321 |
|
Ryan Thomas P. <1945->
|
||
| John Wiley & Sons, Inc | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Sample size determination and power [[electronic resource] /] / Thomas P. Ryan
| Sample size determination and power [[electronic resource] /] / Thomas P. Ryan |
| Autore | Ryan Thomas P. <1945-> |
| Pubbl/distr/stampa | Hoboken, N.J., : John Wiley & Sons, c2013 |
| Descrizione fisica | 1 online resource (402 p.) |
| Disciplina | 615.50724 |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Sampling (Statistics)
Regression analysis Clinical trials - Statistical methods |
| ISBN |
1-118-43924-4
1-118-43922-8 1-118-43920-1 9781299678767 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Brief review of hypothesis testing concepts/issues and confidence intervals -- Methods of determining sample size -- Means and variances -- Proportions and rates -- Regression methods and correlation -- Experimental designs -- Clinical trials -- Quality improvement -- Survival analysis and reliability -- Nonparametric methods -- Miscellaneous topics. |
| Record Nr. | UNINA-9910139245303321 |
|
Ryan Thomas P. <1945->
|
||
| Hoboken, N.J., : John Wiley & Sons, c2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Sample size determination and power [[electronic resource] /] / Thomas P. Ryan
| Sample size determination and power [[electronic resource] /] / Thomas P. Ryan |
| Autore | Ryan Thomas P. <1945-> |
| Pubbl/distr/stampa | Hoboken, N.J., : John Wiley & Sons, c2013 |
| Descrizione fisica | 1 online resource (402 p.) |
| Disciplina | 615.50724 |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Sampling (Statistics)
Regression analysis Clinical trials - Statistical methods |
| ISBN |
1-118-43924-4
1-118-43922-8 1-118-43920-1 9781299678767 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Brief review of hypothesis testing concepts/issues and confidence intervals -- Methods of determining sample size -- Means and variances -- Proportions and rates -- Regression methods and correlation -- Experimental designs -- Clinical trials -- Quality improvement -- Survival analysis and reliability -- Nonparametric methods -- Miscellaneous topics. |
| Record Nr. | UNINA-9910819004303321 |
|
Ryan Thomas P. <1945->
|
||
| Hoboken, N.J., : John Wiley & Sons, c2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistical methods for quality improvement [[electronic resource] /] / Thomas P. Ryan
| Statistical methods for quality improvement [[electronic resource] /] / Thomas P. Ryan |
| Autore | Ryan Thomas P. <1945-> |
| Edizione | [3rd ed.] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley, c2011 |
| Descrizione fisica | 1 online resource (702 p.) |
| Disciplina |
658.5/62
658.562 |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Quality control - Statistical methods
Process control - Statistical methods |
| ISBN |
1-283-28267-4
9786613282675 1-118-05810-0 1-118-05811-9 1-118-05809-7 |
| Classificazione | MAT029000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Statistical Methods forQuality Improvement; Contents; Preface; Preface to the Second Edition; Preface to the First Edition; PART I FUNDAMENTAL QUALITY IMPROVEMENT AND STATISTICAL CONCEPTS; 1 Introduction; 1.1 Quality and Productivity; 1.2 Quality Costs (or Does It?); 1.3 The Need for Statistical Methods; 1.4 Early Use of Statistical Methods for Improving Quality; 1.5 Influential Quality Experts; 1.6 Summary; References; 2 Basic Tools for Improving Quality; 2.1 Histogram; 2.2 Pareto Charts; 2.3 Scatter Plots; 2.3.1 Variations of Scatter Plots; 2.4 Control Chart; 2.5 Check Sheet
2.6 Cause-and-Effect Diagram2.7 Defect Concentration Diagram; 2.8 The Seven Newer Tools; 2.8.1 Affinity Diagram; 2.8.2 Interrelationship Digraph; 2.8.3 Tree Diagram; 2.8.4 Prioritization Matrix; 2.8.5 Matrix Diagram; 2.8.6 Process Decision Program Chart; 2.8.7 Activity Network Diagram; 2.9 Software; 2.10 Summary; References; Exercises; 3 Basic Concepts in Statistics and Probability; 3.1 Probability; 3.2 Sample Versus Population; 3.3 Location; 3.4 Variation; 3.5 Discrete Distributions; 3.5.1 Binomial Distribution; 3.5.2 Beta-Binomial Distribution; 3.5.3 Poisson Distribution 3.5.4 Geometric Distribution3.5.5 Negative Binomial Distribution; 3.5.6 Hypergeometric Distribution; 3.6 Continuous Distributions; 3.6.1 Normal Distribution; 3.6.2 t Distribution; 3.6.3 Exponential Distribution; 3.6.4 Lognormal Distribution; 3.6.5 Weibull Distribution; 3.6.6 Extreme Value Distribution; 3.6.7 Gamma Distribution; 3.6.8 Chi-Square Distribution; 3.6.9 Truncated Normal Distribution; 3.6.10 Bivariate and Multivariate Normal Distributions; 3.6.11 F Distribution; 3.6.12 Beta Distribution; 3.6.13 Uniform Distribution; 3.7 Choice of Statistical Distribution; 3.8 Statistical Inference 3.8.1 Central Limit Theorem3.8.2 Point Estimation; 3.8.2.1 Maximum Likelihood Estimation; 3.8.3 Confidence Intervals; 3.8.4 Tolerance Intervals; 3.8.5 Hypothesis Tests; 3.8.5.1 Probability Plots; 3.8.5.2 Likelihood Ratio Tests; 3.8.6 Bonferroni Intervals; 3.9 Enumerative Studies Versus Analytic Studies; References; Exercises; PARTII CONTROL CHARTS AND PROCESS CAPABILITY; 4 Control Charts for Measurements With Subgrouping (for One Variable); 4.1 Basic Control Chart Principles; 4.2 Real-Time Control Charting Versus Analysis of Past Data 4.3 Control Charts: When to Use, Where to Use, How Many to Use4.4 Benefits from the Use of Control Charts; 4.5 Rational Subgroups; 4.6 Basic Statistical Aspects of Control Charts; 4.7 Illustrative Example; 4.7.1 R-Chart; 4.7.2 R-Chart with Probability Limits; 4.7.3 S-Chart; 4.7.4 S-Chart with Probability Limits; 4.7.5 S2-Chart; 4.7.6 X-Chart; 4.7.7 Recomputing Control Limits; 4.7.8 Applying Control Limits to Future Production; 4.7.9 Combining an X- and an S-Chart; 4.7.10 Standards for Control Charts; 4.7.11 Deleting Points; 4.7.12 Target Values; 4.8 Illustrative Example with Real Data 4.9 Determining the Point of a Parameter Change |
| Record Nr. | UNINA-9910133222103321 |
|
Ryan Thomas P. <1945->
|
||
| Hoboken, N.J., : Wiley, c2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||