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Effect sizes for research : univariate and multivariate applications / / Robert J. Grissom and John J. Kim
Effect sizes for research : univariate and multivariate applications / / Robert J. Grissom and John J. Kim
Autore Grissom Robert J.
Edizione [2nd ed.]
Pubbl/distr/stampa New York : , : Routledge, , 2012
Descrizione fisica 1 online resource (453 p.)
Disciplina 519.5/38
Altri autori (Persone) KimJohn J
Soggetto topico Analysis of variance
Effect sizes (Statistics)
Experimental design
Soggetto genere / forma Electronic books.
ISBN 1-136-63235-2
0-203-80323-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Effect Sizes for Research Univariate and Multivariate Applications; Copyright; Contents; Preface; Acknowledgments; Chapter 1 Introduction; Introduction.; Null-Hypothesis Significance Testing; Statistically Signifying and Practical Significance.; Definition,Characteristics,and Uses of Effect Sizes; Some Factors Influencing Effect Sizes; Controversy About Null-Hypothesis Significance Testing; Purpose of This Book; Power Analysis; Replication and Meta-Analysis; Assumptions of Test Statistics and EffectSizes; Violations of Assumptions Suggested by Real Data
Yuen's Confidence Interval for the Difference Between Two Trimmed MeansOther Methods for Independent Groups; Criteria for Methods for Constructing a Confidence Interval; Dependent Groups; Summary; Questions; Chapter 3 The Standardized Difference Between Means; Introduction; Standardized Difference Between Treatment and Comparison Means Assuming Normality; Uses and Limitations of a Standardized Difference; Equal or Unequal Variances; Outliers and Standardized-Difference Effect Sizes; Tentative Recommendations; Additional Standardized-Difference Effect Sizes.
Confidence Intervals for Standardized-Difference Effect SizesCounternull Effect Size.; Extreme Groups; Percent of Maximum Possible Score; Dependent Groups.; Effect Sizes for Pretest-Posttest Control-Group Designs; Summary; Questions.; Chapter 4 Correlational Effect Sizes and Related Topics; Introduction; Dichotomizing and Correlation; Point-Biserial Correlation; Unequal Base Rates in Nonexperimental Research; Correcting for Bias; Confidence Intervals for r pop; Null-Counternull Interval for r pop; Assumptions of Correlation and Point-Biserial Correlation
Unequal Sample Sizes in Experimental ResearchUnreliability; Adjusting Effect Sizes for Unreliability; Restricted Range; Scale Coarseness; Small,Medium,and Large Effect Size Values; Binomial Effect Size Display; Coefficient of Determination.; Criticisms of the Coefficient of Determination; Slopes as Effect Sizes; Effect Sizes for Mediating and Moderating Variables; Summary; Questions; Chapter 5 Effect Size Measures That Go Beyond Comparing Two Averages; Introduction.; Probability of Superiority:Independent Groups.; Introduction to Overlap and Related Measures; Dominance Measure
Cohen's Measures of Nonoverlap.
Record Nr. UNINA-9910451715803321
Grissom Robert J.  
New York : , : Routledge, , 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Effect sizes for research : univariate and multivariate applications / / Robert J. Grissom and John J. Kim
Effect sizes for research : univariate and multivariate applications / / Robert J. Grissom and John J. Kim
Autore Grissom Robert J.
Edizione [2nd ed.]
Pubbl/distr/stampa New York : , : Routledge, , 2012
Descrizione fisica 1 online resource (453 p.)
Disciplina 519.5/38
Altri autori (Persone) KimJohn J
Soggetto topico Analysis of variance
Effect sizes (Statistics)
Experimental design
ISBN 1-136-63234-4
1-136-63235-2
0-203-80323-X
Classificazione PSY032000EDU027000SOC027000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Effect Sizes for Research Univariate and Multivariate Applications; Copyright; Contents; Preface; Acknowledgments; Chapter 1 Introduction; Introduction.; Null-Hypothesis Significance Testing; Statistically Signifying and Practical Significance.; Definition,Characteristics,and Uses of Effect Sizes; Some Factors Influencing Effect Sizes; Controversy About Null-Hypothesis Significance Testing; Purpose of This Book; Power Analysis; Replication and Meta-Analysis; Assumptions of Test Statistics and EffectSizes; Violations of Assumptions Suggested by Real Data
Yuen's Confidence Interval for the Difference Between Two Trimmed MeansOther Methods for Independent Groups; Criteria for Methods for Constructing a Confidence Interval; Dependent Groups; Summary; Questions; Chapter 3 The Standardized Difference Between Means; Introduction; Standardized Difference Between Treatment and Comparison Means Assuming Normality; Uses and Limitations of a Standardized Difference; Equal or Unequal Variances; Outliers and Standardized-Difference Effect Sizes; Tentative Recommendations; Additional Standardized-Difference Effect Sizes.
Confidence Intervals for Standardized-Difference Effect SizesCounternull Effect Size.; Extreme Groups; Percent of Maximum Possible Score; Dependent Groups.; Effect Sizes for Pretest-Posttest Control-Group Designs; Summary; Questions.; Chapter 4 Correlational Effect Sizes and Related Topics; Introduction; Dichotomizing and Correlation; Point-Biserial Correlation; Unequal Base Rates in Nonexperimental Research; Correcting for Bias; Confidence Intervals for r pop; Null-Counternull Interval for r pop; Assumptions of Correlation and Point-Biserial Correlation
Unequal Sample Sizes in Experimental ResearchUnreliability; Adjusting Effect Sizes for Unreliability; Restricted Range; Scale Coarseness; Small,Medium,and Large Effect Size Values; Binomial Effect Size Display; Coefficient of Determination.; Criticisms of the Coefficient of Determination; Slopes as Effect Sizes; Effect Sizes for Mediating and Moderating Variables; Summary; Questions; Chapter 5 Effect Size Measures That Go Beyond Comparing Two Averages; Introduction.; Probability of Superiority:Independent Groups.; Introduction to Overlap and Related Measures; Dominance Measure
Cohen's Measures of Nonoverlap.
Record Nr. UNINA-9910779041203321
Grissom Robert J.  
New York : , : Routledge, , 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Effect sizes for research : univariate and multivariate applications / / Robert J. Grissom and John J. Kim
Effect sizes for research : univariate and multivariate applications / / Robert J. Grissom and John J. Kim
Autore Grissom Robert J.
Edizione [2nd ed.]
Pubbl/distr/stampa New York : , : Routledge, , 2012
Descrizione fisica 1 online resource (453 p.)
Disciplina 519.5/38
Altri autori (Persone) KimJohn J
Soggetto topico Analysis of variance
Effect sizes (Statistics)
Experimental design
ISBN 1-136-63234-4
1-136-63235-2
0-203-80323-X
Classificazione PSY032000EDU027000SOC027000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Effect Sizes for Research Univariate and Multivariate Applications; Copyright; Contents; Preface; Acknowledgments; Chapter 1 Introduction; Introduction.; Null-Hypothesis Significance Testing; Statistically Signifying and Practical Significance.; Definition,Characteristics,and Uses of Effect Sizes; Some Factors Influencing Effect Sizes; Controversy About Null-Hypothesis Significance Testing; Purpose of This Book; Power Analysis; Replication and Meta-Analysis; Assumptions of Test Statistics and EffectSizes; Violations of Assumptions Suggested by Real Data
Yuen's Confidence Interval for the Difference Between Two Trimmed MeansOther Methods for Independent Groups; Criteria for Methods for Constructing a Confidence Interval; Dependent Groups; Summary; Questions; Chapter 3 The Standardized Difference Between Means; Introduction; Standardized Difference Between Treatment and Comparison Means Assuming Normality; Uses and Limitations of a Standardized Difference; Equal or Unequal Variances; Outliers and Standardized-Difference Effect Sizes; Tentative Recommendations; Additional Standardized-Difference Effect Sizes.
Confidence Intervals for Standardized-Difference Effect SizesCounternull Effect Size.; Extreme Groups; Percent of Maximum Possible Score; Dependent Groups.; Effect Sizes for Pretest-Posttest Control-Group Designs; Summary; Questions.; Chapter 4 Correlational Effect Sizes and Related Topics; Introduction; Dichotomizing and Correlation; Point-Biserial Correlation; Unequal Base Rates in Nonexperimental Research; Correcting for Bias; Confidence Intervals for r pop; Null-Counternull Interval for r pop; Assumptions of Correlation and Point-Biserial Correlation
Unequal Sample Sizes in Experimental ResearchUnreliability; Adjusting Effect Sizes for Unreliability; Restricted Range; Scale Coarseness; Small,Medium,and Large Effect Size Values; Binomial Effect Size Display; Coefficient of Determination.; Criticisms of the Coefficient of Determination; Slopes as Effect Sizes; Effect Sizes for Mediating and Moderating Variables; Summary; Questions; Chapter 5 Effect Size Measures That Go Beyond Comparing Two Averages; Introduction.; Probability of Superiority:Independent Groups.; Introduction to Overlap and Related Measures; Dominance Measure
Cohen's Measures of Nonoverlap.
Record Nr. UNINA-9910824139303321
Grissom Robert J.  
New York : , : Routledge, , 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Empirical model building [[electronic resource] ] : data, models, and reality / / James R. Thompson
Empirical model building [[electronic resource] ] : data, models, and reality / / James R. Thompson
Autore Thompson James R (James Robert), <1938->
Edizione [2nd ed.]
Pubbl/distr/stampa Hoboken, N.J., : John Wiley & Sons, c2011
Descrizione fisica 1 online resource (460 p.)
Disciplina 519.5/7
519.57
Collana Wiley series in probability and statistics
Soggetto topico Experimental design
Mathematical models
Mathematical statistics
ISBN 1-283-40069-3
9786613400697
1-118-10965-1
1-118-10962-7
Classificazione MAT029000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Empirical Model Building: Data, Models, and Reality; Contents; Preface; 1. Models of Growth and Decay; 1.1. A Simple Pension and Annuity Plan; 1.2. Income Tax Bracket Creep and the Quiet Revolution of 1980; 1.3. Retirement of a Mortgage; 1.4. Some Mathematical Descriptions of the Theory of Malthus; 1.5. Metastasis and Resistance; Problems; References; 2. Models of Competition, Survival, and Combat; 2.1. An Analysis of the Demographics of Ancient Israel; 2.2. The Plague and John Graunt's Life Table; 2.3. Modular Data-Based Wargaming; 2.3.1. Herman Kahn and the Winning of the Cold War
2.4. Predation and Immune Response Systems2.5. Pyramid Clubs for Fun and Profit; Problems; References; 3. Epidemics; 3.1. Introduction; 3.2. John Snow and the London Cholera Epidemic of 1854; 3.3. Prelude: The Postwar Polio Epidemic; 3.4. AIDS: A New Epidemic for America; 3.5. Why an AIDS Epidemic in America?; 3.5.1. Political Correctness Can Kill; 3.6. The Effect of the Gay Bathhouses; 3.7. A More Detailed Look at the Model; 3.8. Forays into the Public Policy Arena; 3.9. Modeling the Mature Epidemic; 3.10. AIDS as a Facilitator of Other Epidemics; 3.11. Comparisons with First World Countries
3.12. Conclusions: A Modeler's PortfolioProblems; References; 4. Bootstrapping; 4.1. Introduction; 4.2. Bootstrapping Analysis of Darwin's Data; 4.3. A Bootstrapping Approximation to Fisher's Nonparametric Test; 4.4. A Resampling Bassed Sign Test; 4.5. A Bootstrapping Approach for Confidence Intervals; 4.6. Solving Ill-Structured Problems; Problems; References; 5. Monte Carlo Solutions of Differential Equations; 5.1. Introduction; 5.2. Gambler's Ruin; 5.3. Solution of Simple Differential Equations; 5.4. Solution of the Fokker-Planck Equation; 5.5. The Dirichlet Problem
5.6. Solution of General Elliptic Differential Equations5.7. Conclusions; Problems; References; 6. SIMEST, SIMDAT, and Pseudoreality; 6.1. Introduction; 6.2. The Bootstrap: A Dirac-Comb Density Estimator; 6.3. SIMDAT: A Smooth Resampling Algorithm; 6.3.1. The SIMDAT Algorithm; 6.3.2. An Empirical Justification of SIMDAT; 6.4. SIMEST: An Oncological Example; 6.4.1. An Exploratory Prelude; 6.4.2. Models and Algorithms; Problems; References; 7. Exploratory Data Analysis; 7.1. Introduction; 7.2. Smoothing; 7.3. The Stem and Leaf Plot; 7.4. The Five Figure Summary; 7.5. Tukey's Box Plot; Problems
References8. Noise Killing Chaos; 8.1. Introduction; 8.2. The Discrete Logistic Model; 8.3. A Chaotic Convection Model; 8.4. Conclusions; Problems; References; 9. A Primer in Bayesian Data Analysis; 9.1. Introduction; 9.2. The EM Algorithm; 9.3. The Data Augmentation Algorithm; 9.4. The Gibbs Sampler; 9.5. Conclusions; Problems; References; 10. Multivariate and Robust Procedures in Statistical Process Control; 10.1. Introduction; 10.2. A Contamination Model for SPC; 10.3. A Compound Test for Higher Dimensional SPC Data; 10.4. Rank Testing with Higher Dimensional SPC Data
10.5. A Robust Estimation Procedure for Location in Higher Dimensions
Record Nr. UNINA-9910141174403321
Thompson James R (James Robert), <1938->  
Hoboken, N.J., : John Wiley & Sons, c2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Empirical model building [[electronic resource] /] / James R. Thompson
Empirical model building [[electronic resource] /] / James R. Thompson
Autore Thompson James R (James Robert), <1938->
Pubbl/distr/stampa New York, : Wiley, c1989
Descrizione fisica 1 online resource (264 p.)
Disciplina 519.5
Collana Wiley series in probability and mathematical statistics. Probability and mathematical statistics
Soggetto topico Experimental design
Mathematical models
Mathematical statistics
ISBN 1-282-30753-3
9786612307539
0-470-31678-0
0-470-31745-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Empirical Model Building; Contents; Introduction; 1. Models of Growth and Decay; 1.1. A Simple Pension and Annuity Plan; 1.2. Income Tax Bracket Creep; 1.3. Retirement of a Mortgage; 1.4. Some Mathematical Descriptions of the Model of Malthus; 1.5. Metastasis and Resistance; 2. Models of Competition, Combat, and Epidemic; 2.1. An Analysis of the Demographics of Ancient Israel Based on Figures in the Books of Numbers, Judges, and II Samuel; 2.2. The Plague and John Graunt's Life Table; 2.3. Modular Wargaming; 2.4. Predation and Immune Response Systems; 2.5. Pyramid Clubs for Fun and Profit
2.6. A Simple Model of AIDS3. Simulation and the Coming Qualitative Change in Scientific ModeIing; 3.1. Simulation-Based Techniques for Dealing with Problems Usually Approached via Differential Equation Modeling; 3.2. SIMDAT: An Algorithm for Data-Based Simulation; 3.3 Simulation-Based Estimation; 4. Some Techniques of Nonstandard Data Analysis; 4.1. A Glimpse at Exploratory Data Analysis; 4.2. Nonparametric Density Estimation; 5. Paradoxes and False Trails; 5.1. Some Problems with Group Consensus; 5.2. Stein's Paradox; 5.3. Fuzzy Set Theory; 5.4. Quality Control; Appendix
A.1. A Brief Primer in StochasticsA.2. A Simple Optimization Algorithm that Usually Works; Index
Record Nr. UNINA-9910144695803321
Thompson James R (James Robert), <1938->  
New York, : Wiley, c1989
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Empirical model building [[electronic resource] /] / James R. Thompson
Empirical model building [[electronic resource] /] / James R. Thompson
Autore Thompson James R (James Robert), <1938->
Pubbl/distr/stampa New York, : Wiley, c1989
Descrizione fisica 1 online resource (264 p.)
Disciplina 519.5
Collana Wiley series in probability and mathematical statistics. Probability and mathematical statistics
Soggetto topico Experimental design
Mathematical models
Mathematical statistics
ISBN 1-282-30753-3
9786612307539
0-470-31678-0
0-470-31745-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Empirical Model Building; Contents; Introduction; 1. Models of Growth and Decay; 1.1. A Simple Pension and Annuity Plan; 1.2. Income Tax Bracket Creep; 1.3. Retirement of a Mortgage; 1.4. Some Mathematical Descriptions of the Model of Malthus; 1.5. Metastasis and Resistance; 2. Models of Competition, Combat, and Epidemic; 2.1. An Analysis of the Demographics of Ancient Israel Based on Figures in the Books of Numbers, Judges, and II Samuel; 2.2. The Plague and John Graunt's Life Table; 2.3. Modular Wargaming; 2.4. Predation and Immune Response Systems; 2.5. Pyramid Clubs for Fun and Profit
2.6. A Simple Model of AIDS3. Simulation and the Coming Qualitative Change in Scientific ModeIing; 3.1. Simulation-Based Techniques for Dealing with Problems Usually Approached via Differential Equation Modeling; 3.2. SIMDAT: An Algorithm for Data-Based Simulation; 3.3 Simulation-Based Estimation; 4. Some Techniques of Nonstandard Data Analysis; 4.1. A Glimpse at Exploratory Data Analysis; 4.2. Nonparametric Density Estimation; 5. Paradoxes and False Trails; 5.1. Some Problems with Group Consensus; 5.2. Stein's Paradox; 5.3. Fuzzy Set Theory; 5.4. Quality Control; Appendix
A.1. A Brief Primer in StochasticsA.2. A Simple Optimization Algorithm that Usually Works; Index
Record Nr. UNINA-9910829965203321
Thompson James R (James Robert), <1938->  
New York, : Wiley, c1989
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Empirical model building [[electronic resource] /] / James R. Thompson
Empirical model building [[electronic resource] /] / James R. Thompson
Autore Thompson James R (James Robert), <1938->
Pubbl/distr/stampa New York, : Wiley, c1989
Descrizione fisica 1 online resource (264 p.)
Disciplina 519.5
Collana Wiley series in probability and mathematical statistics. Probability and mathematical statistics
Soggetto topico Experimental design
Mathematical models
Mathematical statistics
ISBN 1-282-30753-3
9786612307539
0-470-31678-0
0-470-31745-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Empirical Model Building; Contents; Introduction; 1. Models of Growth and Decay; 1.1. A Simple Pension and Annuity Plan; 1.2. Income Tax Bracket Creep; 1.3. Retirement of a Mortgage; 1.4. Some Mathematical Descriptions of the Model of Malthus; 1.5. Metastasis and Resistance; 2. Models of Competition, Combat, and Epidemic; 2.1. An Analysis of the Demographics of Ancient Israel Based on Figures in the Books of Numbers, Judges, and II Samuel; 2.2. The Plague and John Graunt's Life Table; 2.3. Modular Wargaming; 2.4. Predation and Immune Response Systems; 2.5. Pyramid Clubs for Fun and Profit
2.6. A Simple Model of AIDS3. Simulation and the Coming Qualitative Change in Scientific ModeIing; 3.1. Simulation-Based Techniques for Dealing with Problems Usually Approached via Differential Equation Modeling; 3.2. SIMDAT: An Algorithm for Data-Based Simulation; 3.3 Simulation-Based Estimation; 4. Some Techniques of Nonstandard Data Analysis; 4.1. A Glimpse at Exploratory Data Analysis; 4.2. Nonparametric Density Estimation; 5. Paradoxes and False Trails; 5.1. Some Problems with Group Consensus; 5.2. Stein's Paradox; 5.3. Fuzzy Set Theory; 5.4. Quality Control; Appendix
A.1. A Brief Primer in StochasticsA.2. A Simple Optimization Algorithm that Usually Works; Index
Record Nr. UNINA-9910841415203321
Thompson James R (James Robert), <1938->  
New York, : Wiley, c1989
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Etude statistique des dépendances / [par] S. Aĵvazjan
Etude statistique des dépendances / [par] S. Aĵvazjan
Autore Ajvazjan, Sergei Artemevich
Pubbl/distr/stampa Moscou, Mir, 1970
Descrizione fisica 235 p. : ill. ; 22 cm
Disciplina 519.53
Soggetto topico Correlation (Statistics)
Regression analysis
Experimental design
Classificazione QA278.2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione fre
Titolo uniforme
Record Nr. UNISALENTO-991003526939707536
Ajvazjan, Sergei Artemevich  
Moscou, Mir, 1970
Materiale a stampa
Lo trovi qui: Univ. del Salento
Opac: Controlla la disponibilità qui
Evolvable designs of experiments [[electronic resource] ] : applications for circuits / / Octavian Iordache
Evolvable designs of experiments [[electronic resource] ] : applications for circuits / / Octavian Iordache
Autore Iordache Octavian
Pubbl/distr/stampa Weinheim, : Wiley-VCH, c2009
Descrizione fisica 1 online resource (232 p.)
Disciplina 621.3192
Soggetto topico Chemical engineering - Mathematical models
Experimental design
Printed circuits - Design and construction
Soggetto genere / forma Electronic books.
ISBN 1-282-02196-6
9786612021961
3-527-62402-3
3-527-62403-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Evolvable Designs of Experiments: Applications for Circuits; Contents; Preface; Abbreviations; Part One Introduction; 1 Printed Circuits; 1.1 Technology Presentation; 1.2 Inner-Layer Processing; 1.3 Materials Preparation; 1.4 Lamination; 1.5 Drilling; 1.6 Making the Hole Conductive; 1.7 Imaging; 1.8 Electroplating; 1.9 Copper Etching; 1.10 Solder Masking; 1.11 Surface Finishing; 1.12 Routing; 1.13 Testing and Inspection; 1.14 Assembling; 2 Problem Solving for Reliability and Quality; 2.1 Conventional Paradigms; 2.2 Complexity and Time Frames; 2.3 Quasilinearity, Circularity, and Closure
2.4 Advance of Reliability ParadigmsPart Two Evolvable Designs of Experiments (EDOE); 3 Polystochastic Models; 3.1 What Is PSM?; 3.2 Basic Notions for Categorical Frame; 3.3 Illustrative Examples of PSM and Categorical Frames; 3.3.1 Lumped Stochastic Chains; 3.3.2 Conditional Stochastic Chains; 4 First-Order Wave Equation; 4.1 Algebraic Frames for Time''T''and Space''Z''; 4.2 The First-Order Wave Equation; 4.3 ''Kinetic''Model: Walsh-Hadamard Matrices; 4.4 ''Convection''Model: Latin Squares; 4.4.1 GF(3) Solution; 4.4.2 GF(4) Solution; 4.5 Spectral Analysis: Correlation
5 Informational Analysis: EDOE Matrices5.1 Walsh-Hadamard Matrices and Latin Square Designs; 5.2 Classification Procedures: Informational Criteria; 5.3 Informational Entropy and Distances; 5.4 Adaptability in Classification; 5.5 Informational Results; 5.5.1 Proposition 1; 5.5.2 Proposition 2; 5.5.3 Proposition 3; 5.6 Relation with Thermodynamics; 5.7 Ranking, Discarding, and Replication of the Columns; 5.8 Lumping and Splitting Columns; 5.9 Juxtaposing and Cutting; 5.10 Tables of DOE Matrices; 6 EDOE Methodology; 6.1 Scientific and Engineering Methods; 6.2 Center Design and Hierarchy
6.3 Recursivity and Focusing6.4 Problem-Solving Framework for PCB Quality; 6.5 Forward and Backward Search; 6.6 Interactions: Dissociation-Integration; 6.7 EDOE Basic Steps; 6.7.1 Problem Statement; 6.7.2 Propose the Preliminary Problem-Solving Framework; 6.7.3 Select the DOE Matrices; 6.7.4 Run Center Design; 6.7.5 Analyze Results; 6.7.6 Run Multiple Forward and Backward Steps; 6.7.7 Perform Dissociation-Integration Experiments; 6.7.8 Establish the New Center Design; 6.7.9 Repeat the Testing Procedure from the New Center Design; 6.7.10 Run Simulations: Analyze the Solutions of the Problem
6.8 EDOE Frame and SKUP Schema6.9 Comparison of EDOE with other Methods; Part Three Case Studies; 7 Solder Wicking; 7.1 Illustrative Failure Analysis; 7.2 Illustrative EDOE Frame; 7.3 SKUP Schema for Solder Wicking; 8 Reliability Analysis; 8.1 EDOE for Reliability; 8.2 SKUP Schema for Reliability; 8.3 Reliability Management System: Main Elements; 8.4 Reliability Prediction Software; 8.5 Minicoupons; 8.6 Reliability Analysis; 8.7 IST Electrical Resistance Analysis; 9 Drilling; 9.1 Drilling Quality Framework; 9.2 Test Coupons; 9.3 Testing Small Plated Through Holes: SKUP Schema for Drilling
9.4 Reliability Tests
Record Nr. UNINA-9910146108203321
Iordache Octavian  
Weinheim, : Wiley-VCH, c2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Evolvable designs of experiments [[electronic resource] ] : applications for circuits / / Octavian Iordache
Evolvable designs of experiments [[electronic resource] ] : applications for circuits / / Octavian Iordache
Autore Iordache Octavian
Pubbl/distr/stampa Weinheim, : Wiley-VCH, c2009
Descrizione fisica 1 online resource (232 p.)
Disciplina 621.3192
Soggetto topico Chemical engineering - Mathematical models
Experimental design
Printed circuits - Design and construction
ISBN 1-282-02196-6
9786612021961
3-527-62402-3
3-527-62403-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Evolvable Designs of Experiments: Applications for Circuits; Contents; Preface; Abbreviations; Part One Introduction; 1 Printed Circuits; 1.1 Technology Presentation; 1.2 Inner-Layer Processing; 1.3 Materials Preparation; 1.4 Lamination; 1.5 Drilling; 1.6 Making the Hole Conductive; 1.7 Imaging; 1.8 Electroplating; 1.9 Copper Etching; 1.10 Solder Masking; 1.11 Surface Finishing; 1.12 Routing; 1.13 Testing and Inspection; 1.14 Assembling; 2 Problem Solving for Reliability and Quality; 2.1 Conventional Paradigms; 2.2 Complexity and Time Frames; 2.3 Quasilinearity, Circularity, and Closure
2.4 Advance of Reliability ParadigmsPart Two Evolvable Designs of Experiments (EDOE); 3 Polystochastic Models; 3.1 What Is PSM?; 3.2 Basic Notions for Categorical Frame; 3.3 Illustrative Examples of PSM and Categorical Frames; 3.3.1 Lumped Stochastic Chains; 3.3.2 Conditional Stochastic Chains; 4 First-Order Wave Equation; 4.1 Algebraic Frames for Time''T''and Space''Z''; 4.2 The First-Order Wave Equation; 4.3 ''Kinetic''Model: Walsh-Hadamard Matrices; 4.4 ''Convection''Model: Latin Squares; 4.4.1 GF(3) Solution; 4.4.2 GF(4) Solution; 4.5 Spectral Analysis: Correlation
5 Informational Analysis: EDOE Matrices5.1 Walsh-Hadamard Matrices and Latin Square Designs; 5.2 Classification Procedures: Informational Criteria; 5.3 Informational Entropy and Distances; 5.4 Adaptability in Classification; 5.5 Informational Results; 5.5.1 Proposition 1; 5.5.2 Proposition 2; 5.5.3 Proposition 3; 5.6 Relation with Thermodynamics; 5.7 Ranking, Discarding, and Replication of the Columns; 5.8 Lumping and Splitting Columns; 5.9 Juxtaposing and Cutting; 5.10 Tables of DOE Matrices; 6 EDOE Methodology; 6.1 Scientific and Engineering Methods; 6.2 Center Design and Hierarchy
6.3 Recursivity and Focusing6.4 Problem-Solving Framework for PCB Quality; 6.5 Forward and Backward Search; 6.6 Interactions: Dissociation-Integration; 6.7 EDOE Basic Steps; 6.7.1 Problem Statement; 6.7.2 Propose the Preliminary Problem-Solving Framework; 6.7.3 Select the DOE Matrices; 6.7.4 Run Center Design; 6.7.5 Analyze Results; 6.7.6 Run Multiple Forward and Backward Steps; 6.7.7 Perform Dissociation-Integration Experiments; 6.7.8 Establish the New Center Design; 6.7.9 Repeat the Testing Procedure from the New Center Design; 6.7.10 Run Simulations: Analyze the Solutions of the Problem
6.8 EDOE Frame and SKUP Schema6.9 Comparison of EDOE with other Methods; Part Three Case Studies; 7 Solder Wicking; 7.1 Illustrative Failure Analysis; 7.2 Illustrative EDOE Frame; 7.3 SKUP Schema for Solder Wicking; 8 Reliability Analysis; 8.1 EDOE for Reliability; 8.2 SKUP Schema for Reliability; 8.3 Reliability Management System: Main Elements; 8.4 Reliability Prediction Software; 8.5 Minicoupons; 8.6 Reliability Analysis; 8.7 IST Electrical Resistance Analysis; 9 Drilling; 9.1 Drilling Quality Framework; 9.2 Test Coupons; 9.3 Testing Small Plated Through Holes: SKUP Schema for Drilling
9.4 Reliability Tests
Record Nr. UNINA-9910830815403321
Iordache Octavian  
Weinheim, : Wiley-VCH, c2009
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