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Attainable region theory : an introduction to choosing an optimal reactor / / by David Ming [and three others]
| Attainable region theory : an introduction to choosing an optimal reactor / / by David Ming [and three others] |
| Autore | Ming David <1985-> |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2016 |
| Descrizione fisica | 1 online resource (370 p.) |
| Disciplina | 660/.2832 |
| Soggetto topico |
Chemical reactors - Design and construction
Statistical tolerance regions |
| ISBN |
1-119-24470-6
1-119-24471-4 1-119-24469-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; Preface; Acknowledgments; Prior Knowledge; How this book is Structured; Software and Companion Website; Nomenclature; Section I Basic Theory; Chapter 1 Introduction; 1.1 Introduction; 1.2 Motivation; 1.3 Reactor Network Synthesis; 1.4 Solving the Reactor Network Synthesis Problem; 1.5 Chapter Review; References; Chapter 2 Concentration and Mixing; 2.1 Introduction; 2.2 Concentration Vectors and Dimension; 2.3 Mixing; 2.4 Chapter Review; References; Chapter 3 The Attainable Region; 3.1 Introduction; 3.2 A Mixing and Reaction Game; 3.3 The AR
3.4 Elementary Properties of the AR3.5 Chapter Review; References; Chapter 4 Reaction; 4.1 Introduction; 4.2 Reaction Rates and Stoichiometry; 4.3 Reaction from a Geometric Viewpoint; 4.4 Three Fundamental Continuous Reactor Types; 4.5 Summary; 4.6 Mixing Temperatures; 4.7 Additional Properties of the AR; 4.8 Chapter Review; References; Chapter 5 Two-Dimensional Constructions; 5.1 Introduction; 5.2 A Framework for Tackling AR Problems; 5.3 Two-Dimensional Van De Vusse Kinetics; 5.4 Multiple CSTR Steady States and ISOLAS; 5.5 Constructions in Residence Time Space; 5.6 Chapter Review ReferencesSection II Extended Topics; Chapter 6 Higher Dimensional AR Theory; 6.1 Introduction; 6.2 Dimension and Stoichiometry; 6.3 The Three Fundamental Reactor Types Used in AR Theory; 6.4 Critical DSR\textscs and CSTR\textscs; 6.5 Chapter Review; References; Chapter 7 Applications of AR Theory; 7.1 Introduction; 7.2 Higher Dimensional Constructions; 7.3 Nonisothermal Constructions and Reactor Type Constraints; 7.4 AR Theory for Batch Reactors; 7.5 Chapter Review; References; Chapter 8 AR Construction Algorithms; 8.1 Introduction; 8.2 Preliminaries; 8.3 Overview of AR Construction Methods 8.4 Inside-out Construction Methods8.5 Outside-in Construction Methods; 8.6 Superstructure Methods; 8.7 Chapter Review; References; Chapter 9 Attainable Regions for Variable Density Systems; 9.1 Introduction; 9.2 Common Conversions to Mass Fraction Space; 9.3 Examples; 9.4 Chapter Review; References; Chapter 10 Final Remarks, Further Reading, and Future Directions; 10.1 Introduction; 10.2 Chapter Summaries and Final Remarks; 10.3 Further Reading; 10.4 Future Directions; References; Appendix A Fundamental Reactor Types; A.1 The Plug Flow Reactor; A.2 The Continuous-Flow Stirred Tank Reactor A.3 The Differential Sidestream ReactorAppendix B Mathematical Topics; B.1 Set Notation; B.2 Aspects of Linear Algebra; B.3 The Complement Principle; References; Appendix C Companion Software and Website; C.1 Introduction; C.2 Obtaining Python and Jupyter; Index; Supplemental Images; EULA |
| Record Nr. | UNINA-9910135031003321 |
Ming David <1985->
|
||
| Hoboken, New Jersey : , : Wiley, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Attainable region theory : an introduction to choosing an optimal reactor / / by David Ming [and three others]
| Attainable region theory : an introduction to choosing an optimal reactor / / by David Ming [and three others] |
| Autore | Ming David <1985-> |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2016 |
| Descrizione fisica | 1 online resource (370 p.) |
| Disciplina | 660/.2832 |
| Soggetto topico |
Chemical reactors - Design and construction
Statistical tolerance regions |
| ISBN |
1-119-24470-6
1-119-24471-4 1-119-24469-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; Preface; Acknowledgments; Prior Knowledge; How this book is Structured; Software and Companion Website; Nomenclature; Section I Basic Theory; Chapter 1 Introduction; 1.1 Introduction; 1.2 Motivation; 1.3 Reactor Network Synthesis; 1.4 Solving the Reactor Network Synthesis Problem; 1.5 Chapter Review; References; Chapter 2 Concentration and Mixing; 2.1 Introduction; 2.2 Concentration Vectors and Dimension; 2.3 Mixing; 2.4 Chapter Review; References; Chapter 3 The Attainable Region; 3.1 Introduction; 3.2 A Mixing and Reaction Game; 3.3 The AR
3.4 Elementary Properties of the AR3.5 Chapter Review; References; Chapter 4 Reaction; 4.1 Introduction; 4.2 Reaction Rates and Stoichiometry; 4.3 Reaction from a Geometric Viewpoint; 4.4 Three Fundamental Continuous Reactor Types; 4.5 Summary; 4.6 Mixing Temperatures; 4.7 Additional Properties of the AR; 4.8 Chapter Review; References; Chapter 5 Two-Dimensional Constructions; 5.1 Introduction; 5.2 A Framework for Tackling AR Problems; 5.3 Two-Dimensional Van De Vusse Kinetics; 5.4 Multiple CSTR Steady States and ISOLAS; 5.5 Constructions in Residence Time Space; 5.6 Chapter Review ReferencesSection II Extended Topics; Chapter 6 Higher Dimensional AR Theory; 6.1 Introduction; 6.2 Dimension and Stoichiometry; 6.3 The Three Fundamental Reactor Types Used in AR Theory; 6.4 Critical DSR\textscs and CSTR\textscs; 6.5 Chapter Review; References; Chapter 7 Applications of AR Theory; 7.1 Introduction; 7.2 Higher Dimensional Constructions; 7.3 Nonisothermal Constructions and Reactor Type Constraints; 7.4 AR Theory for Batch Reactors; 7.5 Chapter Review; References; Chapter 8 AR Construction Algorithms; 8.1 Introduction; 8.2 Preliminaries; 8.3 Overview of AR Construction Methods 8.4 Inside-out Construction Methods8.5 Outside-in Construction Methods; 8.6 Superstructure Methods; 8.7 Chapter Review; References; Chapter 9 Attainable Regions for Variable Density Systems; 9.1 Introduction; 9.2 Common Conversions to Mass Fraction Space; 9.3 Examples; 9.4 Chapter Review; References; Chapter 10 Final Remarks, Further Reading, and Future Directions; 10.1 Introduction; 10.2 Chapter Summaries and Final Remarks; 10.3 Further Reading; 10.4 Future Directions; References; Appendix A Fundamental Reactor Types; A.1 The Plug Flow Reactor; A.2 The Continuous-Flow Stirred Tank Reactor A.3 The Differential Sidestream ReactorAppendix B Mathematical Topics; B.1 Set Notation; B.2 Aspects of Linear Algebra; B.3 The Complement Principle; References; Appendix C Companion Software and Website; C.1 Introduction; C.2 Obtaining Python and Jupyter; Index; Supplemental Images; EULA |
| Record Nr. | UNINA-9910807945003321 |
|
Ming David <1985->
|
||
| Hoboken, New Jersey : , : Wiley, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistical tolerance regions [[electronic resource] ] : theory, applications, and computation / / K. Krishnamoorthy, Thomas Mathew
| Statistical tolerance regions [[electronic resource] ] : theory, applications, and computation / / K. Krishnamoorthy, Thomas Mathew |
| Autore | Krishnamoorthy K (Kalimuthu) |
| Pubbl/distr/stampa | Hoboken, NJ, : Wiley, c2009 |
| Descrizione fisica | 1 online resource (494 p.) |
| Disciplina | 519.5 |
| Altri autori (Persone) | MathewThomas <1955-> |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Statistical tolerance regions
Mathematical statistics |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-282-11412-3
9786612114120 0-470-47390-8 0-470-47389-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
STATISTICAL TOLERANCE REGIONS: Theory, Applications, and Computation; Contents; List of Tables; Preface; Chapter 1. Preliminaries; 1.1 Introduction; 1.1.1 One-sided Tolerance Intervals; 1.1.2 Tolerance Intervals; 1.1.3 Survival Probability and Stress-Strength Reliability; 1.2 Some Technical Results; 1.3 The Modified Large Sample (MLS) Procedure; 1.4 The Generalized P-value and Generalized Confidence Interval; 1.4.1 Description; 1.4.2 GPQs for a Location-Scale Family; 1.4.3 Some Examples; 1.5 Exercises; Chapter 2. Univariate Normal Distribution; 2.1 Introduction
2.2 One-sided Tolerance Limits for a Normal Population2.3 Two-sided Tolerance Intervals; 2.3.1 Tolerance Intervals; 2.3.2 Equal-Tailed Tolerance Intervals for a Normal Distribution; 2.3.3 Simultaneous Hypothesis Testing about Normal Quantiles; 2.4 Tolerance Limits for X1 - X2; 2.4.1 Exact One-sided Tolerance Limits for the Distribution of X1 - X2 When the Variance Ratio Is Known; 2.4.2 One-sided Tolerance Limits for the Distribution of X1 - X2 When the Variance Ratio Is Unknown; 2.4.3 Hypothesis Testing About the Quantiles of X1 - X2 2.4.4 Comparison of the Approximate Methods for Making Inference about Quantiles of X1 - X22.4.5 Applications of Tolerance Limits for X1 - X2 with Examples; 2.5 Simultaneous Tolerance Limits for Normal Populations; 2.5.1 Simultaneous One-sided Tolerance Limits; 2.5.2 Simultaneous Tolerance Intervals; 2.6 Exercises; Chapter 3. Univariate Linear Regression Model; 3.1 Notations and Preliminaries; 3.2 One-sided Tolerance Intervals and Simultaneous Tolerance Intervals; 3.2.1 One-sided Tolerance Intervals; 3.2.2 One-sided Simultaneous Tolerance Intervals 3.3 Two-sided Tolerance Intervals and Simultaneous Tolerance Intervals3.3.1 Two-sided Tolerance Intervals; 3.3.2 Two-sided Simultaneous Tolerance Intervals; 3.4 The Calibration Problem; 3.5 Exercises; Chapter 4. The One-way Random Model with Balanced Data; 4.1 Notations and Preliminaries; 4.2 Two Examples; 4.3 One-sided Tolerance Limits for N (μ, στ2 + σe2); 4.3.1 The Mee-Owen Approach; 4.3.2 Vangel's Approach; 4.3.3 The Krishnamoorthy-Mathew Approach; 4.3.4 Comparison of Tolerance Limits; 4.3.5 Examples; 4.3.6 One-sided Confidence Limits for Exceedance Probabilities 4.3.7 One-sided Tolerance Limits When the Variance Ratio Is Known4.4 One-sided Tolerance Limits for N (μ, στ2); 4.5 Two-sided Tolerance Intervals for N (μ, στ2 + σe2); 4.5.1 Mee's Approach; 4.5.2 The Liao-Lin-Iyer Approach; 4.6 Two-sided Tolerance Intervals for N (μ, στ2); 4.7 Exercises; Chapter 5. The One-way Random Model with Unbalanced Data; 5.1 Notations and Preliminaries; 5.2 Two Examples; 5.3 One-sided Tolerance Limits for N (μ, στ2 + σe2); 5.3.1 The Krishnamoorthy and Mathew Approach; 5.3.2 The Liao, Lin and Iyer Approach; 5.3.3 One-sided Confidence Limits for Exceedance Probabilities 5.4 One-sided Tolerance Limits for N (μ, στ2) |
| Record Nr. | UNINA-9910143083703321 |
|
Krishnamoorthy K (Kalimuthu)
|
||
| Hoboken, NJ, : Wiley, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistical tolerance regions [[electronic resource] ] : theory, applications, and computation / / K. Krishnamoorthy, Thomas Mathew
| Statistical tolerance regions [[electronic resource] ] : theory, applications, and computation / / K. Krishnamoorthy, Thomas Mathew |
| Autore | Krishnamoorthy K (Kalimuthu) |
| Pubbl/distr/stampa | Hoboken, NJ, : Wiley, c2009 |
| Descrizione fisica | 1 online resource (494 p.) |
| Disciplina | 519.5 |
| Altri autori (Persone) | MathewThomas <1955-> |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Statistical tolerance regions
Mathematical statistics |
| ISBN |
1-282-11412-3
9786612114120 0-470-47390-8 0-470-47389-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
STATISTICAL TOLERANCE REGIONS: Theory, Applications, and Computation; Contents; List of Tables; Preface; Chapter 1. Preliminaries; 1.1 Introduction; 1.1.1 One-sided Tolerance Intervals; 1.1.2 Tolerance Intervals; 1.1.3 Survival Probability and Stress-Strength Reliability; 1.2 Some Technical Results; 1.3 The Modified Large Sample (MLS) Procedure; 1.4 The Generalized P-value and Generalized Confidence Interval; 1.4.1 Description; 1.4.2 GPQs for a Location-Scale Family; 1.4.3 Some Examples; 1.5 Exercises; Chapter 2. Univariate Normal Distribution; 2.1 Introduction
2.2 One-sided Tolerance Limits for a Normal Population2.3 Two-sided Tolerance Intervals; 2.3.1 Tolerance Intervals; 2.3.2 Equal-Tailed Tolerance Intervals for a Normal Distribution; 2.3.3 Simultaneous Hypothesis Testing about Normal Quantiles; 2.4 Tolerance Limits for X1 - X2; 2.4.1 Exact One-sided Tolerance Limits for the Distribution of X1 - X2 When the Variance Ratio Is Known; 2.4.2 One-sided Tolerance Limits for the Distribution of X1 - X2 When the Variance Ratio Is Unknown; 2.4.3 Hypothesis Testing About the Quantiles of X1 - X2 2.4.4 Comparison of the Approximate Methods for Making Inference about Quantiles of X1 - X22.4.5 Applications of Tolerance Limits for X1 - X2 with Examples; 2.5 Simultaneous Tolerance Limits for Normal Populations; 2.5.1 Simultaneous One-sided Tolerance Limits; 2.5.2 Simultaneous Tolerance Intervals; 2.6 Exercises; Chapter 3. Univariate Linear Regression Model; 3.1 Notations and Preliminaries; 3.2 One-sided Tolerance Intervals and Simultaneous Tolerance Intervals; 3.2.1 One-sided Tolerance Intervals; 3.2.2 One-sided Simultaneous Tolerance Intervals 3.3 Two-sided Tolerance Intervals and Simultaneous Tolerance Intervals3.3.1 Two-sided Tolerance Intervals; 3.3.2 Two-sided Simultaneous Tolerance Intervals; 3.4 The Calibration Problem; 3.5 Exercises; Chapter 4. The One-way Random Model with Balanced Data; 4.1 Notations and Preliminaries; 4.2 Two Examples; 4.3 One-sided Tolerance Limits for N (μ, στ2 + σe2); 4.3.1 The Mee-Owen Approach; 4.3.2 Vangel's Approach; 4.3.3 The Krishnamoorthy-Mathew Approach; 4.3.4 Comparison of Tolerance Limits; 4.3.5 Examples; 4.3.6 One-sided Confidence Limits for Exceedance Probabilities 4.3.7 One-sided Tolerance Limits When the Variance Ratio Is Known4.4 One-sided Tolerance Limits for N (μ, στ2); 4.5 Two-sided Tolerance Intervals for N (μ, στ2 + σe2); 4.5.1 Mee's Approach; 4.5.2 The Liao-Lin-Iyer Approach; 4.6 Two-sided Tolerance Intervals for N (μ, στ2); 4.7 Exercises; Chapter 5. The One-way Random Model with Unbalanced Data; 5.1 Notations and Preliminaries; 5.2 Two Examples; 5.3 One-sided Tolerance Limits for N (μ, στ2 + σe2); 5.3.1 The Krishnamoorthy and Mathew Approach; 5.3.2 The Liao, Lin and Iyer Approach; 5.3.3 One-sided Confidence Limits for Exceedance Probabilities 5.4 One-sided Tolerance Limits for N (μ, στ2) |
| Record Nr. | UNINA-9910830774403321 |
|
Krishnamoorthy K (Kalimuthu)
|
||
| Hoboken, NJ, : Wiley, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistical tolerance regions : theory, applications, and computation / / K. Krishnamoorthy, Thomas Mathew
| Statistical tolerance regions : theory, applications, and computation / / K. Krishnamoorthy, Thomas Mathew |
| Autore | Krishnamoorthy K (Kalimuthu) |
| Pubbl/distr/stampa | Hoboken, NJ, : Wiley, c2009 |
| Descrizione fisica | 1 online resource (494 p.) |
| Disciplina | 519.5 |
| Altri autori (Persone) | MathewThomas <1955-> |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Statistical tolerance regions
Mathematical statistics |
| ISBN |
1-282-11412-3
9786612114120 0-470-47390-8 0-470-47389-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
STATISTICAL TOLERANCE REGIONS: Theory, Applications, and Computation; Contents; List of Tables; Preface; Chapter 1. Preliminaries; 1.1 Introduction; 1.1.1 One-sided Tolerance Intervals; 1.1.2 Tolerance Intervals; 1.1.3 Survival Probability and Stress-Strength Reliability; 1.2 Some Technical Results; 1.3 The Modified Large Sample (MLS) Procedure; 1.4 The Generalized P-value and Generalized Confidence Interval; 1.4.1 Description; 1.4.2 GPQs for a Location-Scale Family; 1.4.3 Some Examples; 1.5 Exercises; Chapter 2. Univariate Normal Distribution; 2.1 Introduction
2.2 One-sided Tolerance Limits for a Normal Population2.3 Two-sided Tolerance Intervals; 2.3.1 Tolerance Intervals; 2.3.2 Equal-Tailed Tolerance Intervals for a Normal Distribution; 2.3.3 Simultaneous Hypothesis Testing about Normal Quantiles; 2.4 Tolerance Limits for X1 - X2; 2.4.1 Exact One-sided Tolerance Limits for the Distribution of X1 - X2 When the Variance Ratio Is Known; 2.4.2 One-sided Tolerance Limits for the Distribution of X1 - X2 When the Variance Ratio Is Unknown; 2.4.3 Hypothesis Testing About the Quantiles of X1 - X2 2.4.4 Comparison of the Approximate Methods for Making Inference about Quantiles of X1 - X22.4.5 Applications of Tolerance Limits for X1 - X2 with Examples; 2.5 Simultaneous Tolerance Limits for Normal Populations; 2.5.1 Simultaneous One-sided Tolerance Limits; 2.5.2 Simultaneous Tolerance Intervals; 2.6 Exercises; Chapter 3. Univariate Linear Regression Model; 3.1 Notations and Preliminaries; 3.2 One-sided Tolerance Intervals and Simultaneous Tolerance Intervals; 3.2.1 One-sided Tolerance Intervals; 3.2.2 One-sided Simultaneous Tolerance Intervals 3.3 Two-sided Tolerance Intervals and Simultaneous Tolerance Intervals3.3.1 Two-sided Tolerance Intervals; 3.3.2 Two-sided Simultaneous Tolerance Intervals; 3.4 The Calibration Problem; 3.5 Exercises; Chapter 4. The One-way Random Model with Balanced Data; 4.1 Notations and Preliminaries; 4.2 Two Examples; 4.3 One-sided Tolerance Limits for N (μ, στ2 + σe2); 4.3.1 The Mee-Owen Approach; 4.3.2 Vangel's Approach; 4.3.3 The Krishnamoorthy-Mathew Approach; 4.3.4 Comparison of Tolerance Limits; 4.3.5 Examples; 4.3.6 One-sided Confidence Limits for Exceedance Probabilities 4.3.7 One-sided Tolerance Limits When the Variance Ratio Is Known4.4 One-sided Tolerance Limits for N (μ, στ2); 4.5 Two-sided Tolerance Intervals for N (μ, στ2 + σe2); 4.5.1 Mee's Approach; 4.5.2 The Liao-Lin-Iyer Approach; 4.6 Two-sided Tolerance Intervals for N (μ, στ2); 4.7 Exercises; Chapter 5. The One-way Random Model with Unbalanced Data; 5.1 Notations and Preliminaries; 5.2 Two Examples; 5.3 One-sided Tolerance Limits for N (μ, στ2 + σe2); 5.3.1 The Krishnamoorthy and Mathew Approach; 5.3.2 The Liao, Lin and Iyer Approach; 5.3.3 One-sided Confidence Limits for Exceedance Probabilities 5.4 One-sided Tolerance Limits for N (μ, στ2) |
| Record Nr. | UNINA-9910877574303321 |
|
Krishnamoorthy K (Kalimuthu)
|
||
| Hoboken, NJ, : Wiley, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
