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Partially nested randomized controlled trials in education research : a guide to design and analysis / / authors: Sharon Lohr, Peter Z. Schochet, Elizabeth Sanders ; prepared by Westat, Mathematica Policy Research ; [prepared for National Center for Education Research (NCER)]
| Partially nested randomized controlled trials in education research : a guide to design and analysis / / authors: Sharon Lohr, Peter Z. Schochet, Elizabeth Sanders ; prepared by Westat, Mathematica Policy Research ; [prepared for National Center for Education Research (NCER)] |
| Autore | Lohr Sharon L. <1960-> |
| Pubbl/distr/stampa | [Washington, D.C.] : , : Institute of Education Sciences, , 2014 |
| Descrizione fisica | 1 online resource (179 unnumbered pages) : illustrations (some color) |
| Soggetto topico |
Education - Research - Methodology
Educational statistics Experimental design |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Partially nested randomized controlled trials in education research |
| Record Nr. | UNINA-9910705604703321 |
Lohr Sharon L. <1960->
|
||
| [Washington, D.C.] : , : Institute of Education Sciences, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Planning and analysis of observational studies [[electronic resource] /] / William G. Cochran ; edited by Lincoln E. Moses and Frederick Mosteller
| Planning and analysis of observational studies [[electronic resource] /] / William G. Cochran ; edited by Lincoln E. Moses and Frederick Mosteller |
| Autore | Cochran William G (William Gemmell), <1909-1980.> |
| Pubbl/distr/stampa | New York, : Wiley, c1983 |
| Descrizione fisica | 1 online resource (166 p.) |
| Disciplina |
001.4
001.42 519.5352 |
| Altri autori (Persone) |
MosesLincoln E
MostellerFrederick <1916-2006.> |
| Collana | Wiley series in probability and mathematical statistics |
| Soggetto topico |
Analysis of variance
Experimental design |
| ISBN |
1-282-30799-1
9786612307997 0-470-31654-3 0-470-31728-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Planning and Analysis of Observational Studies; Contents; 1. VARIATION, CONTROL, AND BIAS; 1. I. Introduction; 1.2. Strategy in Controlled Experiments- Sampled and Target Populations; 1.3. The Principal Sources of Variation in the Responses; 1.4. Methods of Control; 1.5. Effects of Bias; 1.6. Summary; References; 2. STATISTICAL INTRODUCTION; 2.1. Drawing Conclusions from Data; 2.2. Tests of Significance; 2.3. Confidence Intervals; 2.4. Systematic Differences Between the Populations; 2.5. The Model When Bias is Present; 2.6. Summary; References; 3. PRELIMINARY ASPECTS OF PLANNING
3.1. Introdudtion3.2. The Statement of Objectives; 3.3. The Treatments; 3.4. Measurements of Treatment Levels for Individual Persons and the Effects of Grouping; 3.5. Other Points Related to Treatments; 3.6. Control Treatments; 3.7. The Responses; 3.8. Timing of Measurements; 3.9. summary; References; 4. FURTHER ASPECTS OF PLANNING; 4.1. Sample Size in Relation to Tests of Significance; 4.2. Sample Size for Estimation; 4.3. The Effect of Bias; 4.4. More Complex Comparisons; 4.5. Samples of Clusters; 4.6. Plans for Reducing Nonresponse; 4.7. Relationship Between Sampled and Target Populations 4.8. Pilot Studies and Pretests4.9. The Devil's Advocate; 4.10. Summary; References; 5 . MATCHING; 5.1. Confounding Variables; 5.2. Matching; 5.3. The Construction of Matches; 5.4. Effect of Within-Class Matching on x; 5.5. Effect of Caliper Matching on x; 5.6. Effect of "Nearest Available" Matching on x; 5.7. Effect of Mean Matching on x; 5.8. Effects on bias of y1 - y2; 5.9. Effect of Matching on the Variance of y1 - y2; 5.10. Introduction to Statistical Analysis of Pair-Matched Samples; 5.11. Analysis with Mean Matching: y Continuous; 5.12. summary; References; 6. ADJUSTMENTS IN ANALYSIS 6.1. Introduction6.2. y Continuous: x's Classified; 6.3. y Binomial: x's Classified; 6.4. Treatment Difference Varying From Cell to Cell; 6.5. y and x's Quantitative: Adjustments by Regression (Covariance); 6.6. Regression Adjustments with Some x's Classified; 6.7. Effect of Regression Adjustments on Bias in y1-y2; 6.8. Effect of Curvature on Linear-Regression Adjustments; 6.9. Effectiveness of Regression Adjustments on Precision; 6.10. Effect of Errors in the Measurement of x; 6.11. Matching and Adjustment Compared: In Experiments 6.12. Matching and Adjustment Compared: In Observational StudiesAppendix to Section 6.12; 6.13. A Preliminary Test of Comparability; 6.14. Summary; References; 7. SIMPLE STUDY STRUCTURES; 7.1. Introduction; 7.2. The Single Group: Measured After Treatment Only; 7.3. The Single Group: Measured Before and After Treatment; 7.4. The Single Group: Series of Measurements Before and After; References; INDEX |
| Record Nr. | UNINA-9910144696203321 |
|
Cochran William G (William Gemmell), <1909-1980.>
|
||
| New York, : Wiley, c1983 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Planning and analysis of observational studies [[electronic resource] /] / William G. Cochran ; edited by Lincoln E. Moses and Frederick Mosteller
| Planning and analysis of observational studies [[electronic resource] /] / William G. Cochran ; edited by Lincoln E. Moses and Frederick Mosteller |
| Autore | Cochran William G (William Gemmell), <1909-1980.> |
| Pubbl/distr/stampa | New York, : Wiley, c1983 |
| Descrizione fisica | 1 online resource (166 p.) |
| Disciplina |
001.4
001.42 519.5352 |
| Altri autori (Persone) |
MosesLincoln E
MostellerFrederick <1916-2006.> |
| Collana | Wiley series in probability and mathematical statistics |
| Soggetto topico |
Analysis of variance
Experimental design |
| ISBN |
1-282-30799-1
9786612307997 0-470-31654-3 0-470-31728-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Planning and Analysis of Observational Studies; Contents; 1. VARIATION, CONTROL, AND BIAS; 1. I. Introduction; 1.2. Strategy in Controlled Experiments- Sampled and Target Populations; 1.3. The Principal Sources of Variation in the Responses; 1.4. Methods of Control; 1.5. Effects of Bias; 1.6. Summary; References; 2. STATISTICAL INTRODUCTION; 2.1. Drawing Conclusions from Data; 2.2. Tests of Significance; 2.3. Confidence Intervals; 2.4. Systematic Differences Between the Populations; 2.5. The Model When Bias is Present; 2.6. Summary; References; 3. PRELIMINARY ASPECTS OF PLANNING
3.1. Introdudtion3.2. The Statement of Objectives; 3.3. The Treatments; 3.4. Measurements of Treatment Levels for Individual Persons and the Effects of Grouping; 3.5. Other Points Related to Treatments; 3.6. Control Treatments; 3.7. The Responses; 3.8. Timing of Measurements; 3.9. summary; References; 4. FURTHER ASPECTS OF PLANNING; 4.1. Sample Size in Relation to Tests of Significance; 4.2. Sample Size for Estimation; 4.3. The Effect of Bias; 4.4. More Complex Comparisons; 4.5. Samples of Clusters; 4.6. Plans for Reducing Nonresponse; 4.7. Relationship Between Sampled and Target Populations 4.8. Pilot Studies and Pretests4.9. The Devil's Advocate; 4.10. Summary; References; 5 . MATCHING; 5.1. Confounding Variables; 5.2. Matching; 5.3. The Construction of Matches; 5.4. Effect of Within-Class Matching on x; 5.5. Effect of Caliper Matching on x; 5.6. Effect of "Nearest Available" Matching on x; 5.7. Effect of Mean Matching on x; 5.8. Effects on bias of y1 - y2; 5.9. Effect of Matching on the Variance of y1 - y2; 5.10. Introduction to Statistical Analysis of Pair-Matched Samples; 5.11. Analysis with Mean Matching: y Continuous; 5.12. summary; References; 6. ADJUSTMENTS IN ANALYSIS 6.1. Introduction6.2. y Continuous: x's Classified; 6.3. y Binomial: x's Classified; 6.4. Treatment Difference Varying From Cell to Cell; 6.5. y and x's Quantitative: Adjustments by Regression (Covariance); 6.6. Regression Adjustments with Some x's Classified; 6.7. Effect of Regression Adjustments on Bias in y1-y2; 6.8. Effect of Curvature on Linear-Regression Adjustments; 6.9. Effectiveness of Regression Adjustments on Precision; 6.10. Effect of Errors in the Measurement of x; 6.11. Matching and Adjustment Compared: In Experiments 6.12. Matching and Adjustment Compared: In Observational StudiesAppendix to Section 6.12; 6.13. A Preliminary Test of Comparability; 6.14. Summary; References; 7. SIMPLE STUDY STRUCTURES; 7.1. Introduction; 7.2. The Single Group: Measured After Treatment Only; 7.3. The Single Group: Measured Before and After Treatment; 7.4. The Single Group: Series of Measurements Before and After; References; INDEX |
| Record Nr. | UNINA-9910830866603321 |
|
Cochran William G (William Gemmell), <1909-1980.>
|
||
| New York, : Wiley, c1983 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Planning and analysis of observational studies [[electronic resource] /] / William G. Cochran ; edited by Lincoln E. Moses and Frederick Mosteller
| Planning and analysis of observational studies [[electronic resource] /] / William G. Cochran ; edited by Lincoln E. Moses and Frederick Mosteller |
| Autore | Cochran William G (William Gemmell), <1909-1980.> |
| Pubbl/distr/stampa | New York, : Wiley, c1983 |
| Descrizione fisica | 1 online resource (166 p.) |
| Disciplina |
001.4
001.42 519.5352 |
| Altri autori (Persone) |
MosesLincoln E
MostellerFrederick <1916-2006.> |
| Collana | Wiley series in probability and mathematical statistics |
| Soggetto topico |
Analysis of variance
Experimental design |
| ISBN |
1-282-30799-1
9786612307997 0-470-31654-3 0-470-31728-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Planning and Analysis of Observational Studies; Contents; 1. VARIATION, CONTROL, AND BIAS; 1. I. Introduction; 1.2. Strategy in Controlled Experiments- Sampled and Target Populations; 1.3. The Principal Sources of Variation in the Responses; 1.4. Methods of Control; 1.5. Effects of Bias; 1.6. Summary; References; 2. STATISTICAL INTRODUCTION; 2.1. Drawing Conclusions from Data; 2.2. Tests of Significance; 2.3. Confidence Intervals; 2.4. Systematic Differences Between the Populations; 2.5. The Model When Bias is Present; 2.6. Summary; References; 3. PRELIMINARY ASPECTS OF PLANNING
3.1. Introdudtion3.2. The Statement of Objectives; 3.3. The Treatments; 3.4. Measurements of Treatment Levels for Individual Persons and the Effects of Grouping; 3.5. Other Points Related to Treatments; 3.6. Control Treatments; 3.7. The Responses; 3.8. Timing of Measurements; 3.9. summary; References; 4. FURTHER ASPECTS OF PLANNING; 4.1. Sample Size in Relation to Tests of Significance; 4.2. Sample Size for Estimation; 4.3. The Effect of Bias; 4.4. More Complex Comparisons; 4.5. Samples of Clusters; 4.6. Plans for Reducing Nonresponse; 4.7. Relationship Between Sampled and Target Populations 4.8. Pilot Studies and Pretests4.9. The Devil's Advocate; 4.10. Summary; References; 5 . MATCHING; 5.1. Confounding Variables; 5.2. Matching; 5.3. The Construction of Matches; 5.4. Effect of Within-Class Matching on x; 5.5. Effect of Caliper Matching on x; 5.6. Effect of "Nearest Available" Matching on x; 5.7. Effect of Mean Matching on x; 5.8. Effects on bias of y1 - y2; 5.9. Effect of Matching on the Variance of y1 - y2; 5.10. Introduction to Statistical Analysis of Pair-Matched Samples; 5.11. Analysis with Mean Matching: y Continuous; 5.12. summary; References; 6. ADJUSTMENTS IN ANALYSIS 6.1. Introduction6.2. y Continuous: x's Classified; 6.3. y Binomial: x's Classified; 6.4. Treatment Difference Varying From Cell to Cell; 6.5. y and x's Quantitative: Adjustments by Regression (Covariance); 6.6. Regression Adjustments with Some x's Classified; 6.7. Effect of Regression Adjustments on Bias in y1-y2; 6.8. Effect of Curvature on Linear-Regression Adjustments; 6.9. Effectiveness of Regression Adjustments on Precision; 6.10. Effect of Errors in the Measurement of x; 6.11. Matching and Adjustment Compared: In Experiments 6.12. Matching and Adjustment Compared: In Observational StudiesAppendix to Section 6.12; 6.13. A Preliminary Test of Comparability; 6.14. Summary; References; 7. SIMPLE STUDY STRUCTURES; 7.1. Introduction; 7.2. The Single Group: Measured After Treatment Only; 7.3. The Single Group: Measured Before and After Treatment; 7.4. The Single Group: Series of Measurements Before and After; References; INDEX |
| Record Nr. | UNINA-9910841254703321 |
|
Cochran William G (William Gemmell), <1909-1980.>
|
||
| New York, : Wiley, c1983 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Planning and executing credible experiments : a guidebook for engineering, science, industrial processes, agriculture, and business / / Robert J. Moffat, Roy W. Henk
| Planning and executing credible experiments : a guidebook for engineering, science, industrial processes, agriculture, and business / / Robert J. Moffat, Roy W. Henk |
| Autore | Moffat R. J. |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , [2021] |
| Descrizione fisica | 1 online resource (350 pages) |
| Disciplina | 001.434 |
| Soggetto topico |
Experimental design
Mathematical statistics Uncertainty - Mathematical models |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-119-53286-8
1-119-53284-1 1-119-53282-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910555289303321 |
|
Moffat R. J.
|
||
| Hoboken, New Jersey : , : Wiley, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Planning and executing credible experiments : a guidebook for engineering, science, industrial processes, agriculture, and business / / Robert J. Moffat, Roy W. Henk
| Planning and executing credible experiments : a guidebook for engineering, science, industrial processes, agriculture, and business / / Robert J. Moffat, Roy W. Henk |
| Autore | Moffat R. J. |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , [2021] |
| Descrizione fisica | 1 online resource (350 pages) |
| Disciplina | 001.434 |
| Soggetto topico |
Experimental design
Mathematical statistics Uncertainty - Mathematical models |
| ISBN |
1-119-53286-8
1-119-53284-1 1-119-53282-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910830585703321 |
|
Moffat R. J.
|
||
| Hoboken, New Jersey : , : Wiley, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Planning, construction, and statistical analysis of comparative experiments [[electronic resource] /] / Francis G. Giesbrecht, Marcia L. Gumpertz
| Planning, construction, and statistical analysis of comparative experiments [[electronic resource] /] / Francis G. Giesbrecht, Marcia L. Gumpertz |
| Autore | Giesbrecht Francis G. <1935-> |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2004 |
| Descrizione fisica | 1 online resource (720 p.) |
| Disciplina | 519.5 |
| Altri autori (Persone) | GumpertzMarcia L. <1952-> |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Experimental design
Mathematical optimization |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-55659-5
9786610556595 0-471-47648-X 0-471-47647-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Planning, Construction, and Statistical Analysis of Comparative Experiments; Contents; Preface; 1. Introduction; 1.1 Role of Statistics in Experiment Design; 1.2 Organization of This Book; 1.3 Representativeness and Experimental Units; 1.4 Replication and Handling Unexplained Variability; 1.5 Randomization: Why and How; 1.6 Ethical Considerations; Review Exercises; 2. Completely Randomized Design; 2.1 Introduction; 2.2 Completely Randomized Design; 2.3 Assumption of Additivity; 2.4 Factorial Treatment Combinations; 2.5 Nested Factors; Review Exercises
3. Linear Models for Designed Experiments3.1 Introduction; 3.2 Linear Model; 3.3 Principle of Least Squares; 3.4 Parameterizations for Row-Column Models; Review Exercises; Appendix 3A: Linear Combinations of Random Variables; Appendix 3B: Simulating Random Samples; 4 Testing Hypotheses and Determining Sample Size; 4.1 Introduction; 4.2 Testing Hypotheses in Linear Models with Normally Distributed Errors; 4.3 Kruskal-Wallis Test; 4.4 Randomization Tests; 4.5 Power and Sample Size; 4.6 Sample Size for Binomial Proportions; 4.7 Confidence Interval Width and Sample Size 4.8 Alternative Analysis: Selecting and ScreeningReview Exercises; 5. Methods of Reducing Unexplained Variation; 5.1 Randomized Complete Block Design; 5.2 Blocking; 5.3 Formal Statistical Analysis for the RCBD; 5.4 Models and Assumptions: Detailed Examination; 5.5 Statistical Analysis When Data Are Missing in an RCBD; 5.6 Analysis of Covariance; Review Exercises; Appendix 5A: Interaction of a Random Block Effect and a Fixed Treatment Effect; 6 Latin Squares; 6.1 Introduction; 6.2 Formal Structure of Latin Squares; 6.3 Combining Latin Squares 6.4 Graeco-Latin Squares and Orthogonal Latin Squares6.5 Some Special Latin Squares and Variations on Latin Squares; 6.6 Frequency Squares; 6.7 Youden Square; Review Exercises; Appendix 6A: Some Standard Latin Squares; Appendix 6B: Mutually Orthogonal Latin Squares; Appendix 6C: Possible Youden Squares; 7 Split-Plot and Related Designs; 7.1 Introduction; 7.2 Background Material; 7.3 Examples of Situations That Lead to Split-Plots; 7.4 Statistical Analysis of Split-Plot Experiments; 7.5 Split-Split-Plot Experiments; 7.6 Strip-Plot Experiments; 7.7 Comments on Further Variations 7.8 Analysis of Covariance in Split-Plots7.9 Repeated Measures; Review Exercises; 8 Incomplete Block Designs; 8.1 Introduction; 8.2 Efficiency of Incomplete Block Designs; 8.3 Distribution-Free Analysis for Incomplete Block Designs; 8.4 Balanced Incomplete Block Designs; 8.5 Lattice Designs; 8.6 Cyclic Designs; 8.7 α-Designs; 8.8 Other Incomplete Block Designs; Review Exercises; Appendix 8A: Catalog of Incomplete Block Designs; 9 Repeated Treatments Designs; 9.1 Introduction; 9.2 Repeated Treatments Design Model; 9.3 Construction of Repeated Treatments Designs 9.4 Statistical Analysis of Repeated Treatments Design Data |
| Record Nr. | UNINA-9910146084503321 |
|
Giesbrecht Francis G. <1935->
|
||
| Hoboken, N.J., : Wiley-Interscience, c2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Planning, construction, and statistical analysis of comparative experiments [[electronic resource] /] / Francis G. Giesbrecht, Marcia L. Gumpertz
| Planning, construction, and statistical analysis of comparative experiments [[electronic resource] /] / Francis G. Giesbrecht, Marcia L. Gumpertz |
| Autore | Giesbrecht Francis G. <1935-> |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2004 |
| Descrizione fisica | 1 online resource (720 p.) |
| Disciplina | 519.5 |
| Altri autori (Persone) | GumpertzMarcia L. <1952-> |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Experimental design
Mathematical optimization |
| ISBN |
1-280-55659-5
9786610556595 0-471-47648-X 0-471-47647-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Planning, Construction, and Statistical Analysis of Comparative Experiments; Contents; Preface; 1. Introduction; 1.1 Role of Statistics in Experiment Design; 1.2 Organization of This Book; 1.3 Representativeness and Experimental Units; 1.4 Replication and Handling Unexplained Variability; 1.5 Randomization: Why and How; 1.6 Ethical Considerations; Review Exercises; 2. Completely Randomized Design; 2.1 Introduction; 2.2 Completely Randomized Design; 2.3 Assumption of Additivity; 2.4 Factorial Treatment Combinations; 2.5 Nested Factors; Review Exercises
3. Linear Models for Designed Experiments3.1 Introduction; 3.2 Linear Model; 3.3 Principle of Least Squares; 3.4 Parameterizations for Row-Column Models; Review Exercises; Appendix 3A: Linear Combinations of Random Variables; Appendix 3B: Simulating Random Samples; 4 Testing Hypotheses and Determining Sample Size; 4.1 Introduction; 4.2 Testing Hypotheses in Linear Models with Normally Distributed Errors; 4.3 Kruskal-Wallis Test; 4.4 Randomization Tests; 4.5 Power and Sample Size; 4.6 Sample Size for Binomial Proportions; 4.7 Confidence Interval Width and Sample Size 4.8 Alternative Analysis: Selecting and ScreeningReview Exercises; 5. Methods of Reducing Unexplained Variation; 5.1 Randomized Complete Block Design; 5.2 Blocking; 5.3 Formal Statistical Analysis for the RCBD; 5.4 Models and Assumptions: Detailed Examination; 5.5 Statistical Analysis When Data Are Missing in an RCBD; 5.6 Analysis of Covariance; Review Exercises; Appendix 5A: Interaction of a Random Block Effect and a Fixed Treatment Effect; 6 Latin Squares; 6.1 Introduction; 6.2 Formal Structure of Latin Squares; 6.3 Combining Latin Squares 6.4 Graeco-Latin Squares and Orthogonal Latin Squares6.5 Some Special Latin Squares and Variations on Latin Squares; 6.6 Frequency Squares; 6.7 Youden Square; Review Exercises; Appendix 6A: Some Standard Latin Squares; Appendix 6B: Mutually Orthogonal Latin Squares; Appendix 6C: Possible Youden Squares; 7 Split-Plot and Related Designs; 7.1 Introduction; 7.2 Background Material; 7.3 Examples of Situations That Lead to Split-Plots; 7.4 Statistical Analysis of Split-Plot Experiments; 7.5 Split-Split-Plot Experiments; 7.6 Strip-Plot Experiments; 7.7 Comments on Further Variations 7.8 Analysis of Covariance in Split-Plots7.9 Repeated Measures; Review Exercises; 8 Incomplete Block Designs; 8.1 Introduction; 8.2 Efficiency of Incomplete Block Designs; 8.3 Distribution-Free Analysis for Incomplete Block Designs; 8.4 Balanced Incomplete Block Designs; 8.5 Lattice Designs; 8.6 Cyclic Designs; 8.7 α-Designs; 8.8 Other Incomplete Block Designs; Review Exercises; Appendix 8A: Catalog of Incomplete Block Designs; 9 Repeated Treatments Designs; 9.1 Introduction; 9.2 Repeated Treatments Design Model; 9.3 Construction of Repeated Treatments Designs 9.4 Statistical Analysis of Repeated Treatments Design Data |
| Record Nr. | UNINA-9910831068203321 |
|
Giesbrecht Francis G. <1935->
|
||
| Hoboken, N.J., : Wiley-Interscience, c2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Planning, construction, and statistical analysis of comparative experiments [[electronic resource] /] / Francis G. Giesbrecht, Marcia L. Gumpertz
| Planning, construction, and statistical analysis of comparative experiments [[electronic resource] /] / Francis G. Giesbrecht, Marcia L. Gumpertz |
| Autore | Giesbrecht Francis G. <1935-> |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2004 |
| Descrizione fisica | 1 online resource (720 p.) |
| Disciplina | 519.5 |
| Altri autori (Persone) | GumpertzMarcia L. <1952-> |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Experimental design
Mathematical optimization |
| ISBN |
1-280-55659-5
9786610556595 0-471-47648-X 0-471-47647-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Planning, Construction, and Statistical Analysis of Comparative Experiments; Contents; Preface; 1. Introduction; 1.1 Role of Statistics in Experiment Design; 1.2 Organization of This Book; 1.3 Representativeness and Experimental Units; 1.4 Replication and Handling Unexplained Variability; 1.5 Randomization: Why and How; 1.6 Ethical Considerations; Review Exercises; 2. Completely Randomized Design; 2.1 Introduction; 2.2 Completely Randomized Design; 2.3 Assumption of Additivity; 2.4 Factorial Treatment Combinations; 2.5 Nested Factors; Review Exercises
3. Linear Models for Designed Experiments3.1 Introduction; 3.2 Linear Model; 3.3 Principle of Least Squares; 3.4 Parameterizations for Row-Column Models; Review Exercises; Appendix 3A: Linear Combinations of Random Variables; Appendix 3B: Simulating Random Samples; 4 Testing Hypotheses and Determining Sample Size; 4.1 Introduction; 4.2 Testing Hypotheses in Linear Models with Normally Distributed Errors; 4.3 Kruskal-Wallis Test; 4.4 Randomization Tests; 4.5 Power and Sample Size; 4.6 Sample Size for Binomial Proportions; 4.7 Confidence Interval Width and Sample Size 4.8 Alternative Analysis: Selecting and ScreeningReview Exercises; 5. Methods of Reducing Unexplained Variation; 5.1 Randomized Complete Block Design; 5.2 Blocking; 5.3 Formal Statistical Analysis for the RCBD; 5.4 Models and Assumptions: Detailed Examination; 5.5 Statistical Analysis When Data Are Missing in an RCBD; 5.6 Analysis of Covariance; Review Exercises; Appendix 5A: Interaction of a Random Block Effect and a Fixed Treatment Effect; 6 Latin Squares; 6.1 Introduction; 6.2 Formal Structure of Latin Squares; 6.3 Combining Latin Squares 6.4 Graeco-Latin Squares and Orthogonal Latin Squares6.5 Some Special Latin Squares and Variations on Latin Squares; 6.6 Frequency Squares; 6.7 Youden Square; Review Exercises; Appendix 6A: Some Standard Latin Squares; Appendix 6B: Mutually Orthogonal Latin Squares; Appendix 6C: Possible Youden Squares; 7 Split-Plot and Related Designs; 7.1 Introduction; 7.2 Background Material; 7.3 Examples of Situations That Lead to Split-Plots; 7.4 Statistical Analysis of Split-Plot Experiments; 7.5 Split-Split-Plot Experiments; 7.6 Strip-Plot Experiments; 7.7 Comments on Further Variations 7.8 Analysis of Covariance in Split-Plots7.9 Repeated Measures; Review Exercises; 8 Incomplete Block Designs; 8.1 Introduction; 8.2 Efficiency of Incomplete Block Designs; 8.3 Distribution-Free Analysis for Incomplete Block Designs; 8.4 Balanced Incomplete Block Designs; 8.5 Lattice Designs; 8.6 Cyclic Designs; 8.7 α-Designs; 8.8 Other Incomplete Block Designs; Review Exercises; Appendix 8A: Catalog of Incomplete Block Designs; 9 Repeated Treatments Designs; 9.1 Introduction; 9.2 Repeated Treatments Design Model; 9.3 Construction of Repeated Treatments Designs 9.4 Statistical Analysis of Repeated Treatments Design Data |
| Record Nr. | UNINA-9910841484403321 |
|
Giesbrecht Francis G. <1935->
|
||
| Hoboken, N.J., : Wiley-Interscience, c2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
A practical guide to scientific data analysis [[electronic resource] /] / David Livingstone
| A practical guide to scientific data analysis [[electronic resource] /] / David Livingstone |
| Autore | Livingstone D (David) |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley, 2009 |
| Descrizione fisica | 1 online resource (359 p.) |
| Disciplina |
519.57
540.72 |
| Soggetto topico |
Science - Statistical methods
Experimental design |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-282-47203-8
9786612472039 0-470-01791-0 0-470-68481-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
A Practical Guide toScientific Data Analysis; Contents; Preface; Abbreviations; 1 Introduction: Data and Its Properties, Analytical Methods and Jargon; 1.1 Introduction; 1.2 Types of Data; 1.3 Sources of Data; 1.3.1 Dependent Data; 1.3.2 Independent Data; 1.4 The Nature of Data; 1.4.1 Types of Data and Scales of Measurement; 1.4.2 Data Distribution; 1.4.3 Deviations in Distribution; 1.5 Analytical Methods; 1.6 Summary; References; 2 Experimental Design - Experiment and Set Selection; 2.1 What is Experimental Design?; 2.2 Experimental Design Techniques; 2.2.1 Single-factor Design Methods
2.2.2 Factorial Design (Multiple-factor Design)2.2.3 D-optimal Design; 2.3 Strategies for Compound Selection; 2.4 High Throughput Experiments; 2.5 Summary; References; 3 Data Pre-treatment and Variable Selection; 3.1 Introduction; 3.2 Data Distribution; 3.3 Scaling; 3.4 Correlations; 3.5 Data Reduction; 3.6 Variable Selection; 3.7 Summary; References; 4 Data Display; 4.1 Introduction; 4.2 Linear Methods; 4.3 Nonlinear Methods; 4.3.1 Nonlinear Mapping; 4.3.2 Self-organizing Map; 4.4 Faces, Flowerplots and Friends; 4.5 Summary; References; 5 Unsupervised Learning; 5.1 Introduction 5.2 Nearest-neighbour Methods5.3 Factor Analysis; 5.4 Cluster Analysis; 5.5 Cluster Significance Analysis; 5.6 Summary; References; 6 Regression Analysis; 6.1 Introduction; 6.2 Simple Linear Regression; 6.3 Multiple Linear Regression; 6.3.1 Creating Multiple Regression Models; 6.3.1.1 Forward Inclusion; 6.3.1.2 Backward Elimination; 6.3.1.3 Stepwise Regression; 6.3.1.4 All Subsets; 6.3.1.5 Model Selection by Genetic Algorithm; 6.3.2 Nonlinear Regression Models; 6.3.3 Regression with Indicator Variables 6.4 Multiple Regression: Robustness, Chance Effects, the Comparison of Models and Selection Bias6.4.1 Robustness (Cross-validation); 6.4.2 Chance Effects; 6.4.3 Comparison of Regression Models; 6.4.4 Selection Bias; 6.5 Summary; References; 7 Supervised Learning; 7.1 Introduction; 7.2 Discriminant Techniques; 7.2.1 Discriminant Analysis; 7.2.2 SIMCA; 7.2.3 Confusion Matrices; 7.2.4 Conditions and Cautions for Discriminant Analysis; 7.3 Regression on Principal Components and PLS; 7.3.1 Regression on Principal Components; 7.3.2 Partial Least Squares; 7.3.3 Continuum Regression 7.4 Feature Selection7.5 Summary; References; 8 Multivariate Dependent Data; 8.1 Introduction; 8.2 Principal Components and Factor Analysis; 8.3 Cluster Analysis; 8.4 Spectral Map Analysis; 8.5 Models with Multivariate Dependent and Independent Data; 8.6 Summary; References; 9 Artificial Intelligence and Friends; 9.1 Introduction; 9.2 Expert Systems; 9.2.1 Log P Prediction; 9.2.2 Toxicity Prediction; 9.2.3 Reaction and Structure Prediction; 9.3 Neural Networks; 9.3.1 Data Display Using ANN; 9.3.2 Data Analysis Using ANN; 9.3.3 Building ANN Models; 9.3.4 Interrogating ANN Models 9.4 Miscellaneous AI Techniques |
| Record Nr. | UNINA-9910139536203321 |
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Livingstone D (David)
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| Hoboken, N.J., : Wiley, 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
