BMAS 2005 : proceedings of the 2005 IEEE International Behavioral Modeling and Simulation Workshop : [Doubletree Hotel] San Jose, California, September 22-23, 2005 |
Pubbl/distr/stampa | [Place of publication not identified], : IEEE, 2005 |
Disciplina | 001.4/34 |
Soggetto topico |
Computer simulation
Simulation methods Engineering & Applied Sciences Computer Science |
ISBN | 1-5386-0071-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996203435603316 |
[Place of publication not identified], : IEEE, 2005 | ||
![]() | ||
Lo trovi qui: Univ. di Salerno | ||
|
BMAS 2005 : proceedings of the 2005 IEEE International Behavioral Modeling and Simulation Workshop : [Doubletree Hotel] San Jose, California, September 22-23, 2005 |
Pubbl/distr/stampa | [Place of publication not identified], : IEEE, 2005 |
Disciplina | 001.4/34 |
Soggetto topico |
Computer simulation
Simulation methods Engineering & Applied Sciences Computer Science |
ISBN | 1-5386-0071-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910146816003321 |
[Place of publication not identified], : IEEE, 2005 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Conducting meaningful experiments : 40 steps to becoming a scientist / / R. Barker Bausell |
Autore | Bausell R. Barker <1942-> |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Thousand Oaks, CA, : Sage Publications, c1994 |
Descrizione fisica | 1 online resource (146 p.) : ill |
Disciplina | 001.4/34 |
Soggetto topico |
Research - Methodology
Science - Vocational guidance |
ISBN |
1-4833-2677-2
1-4522-5468-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Cover; Contents; Introduction; Chapter 1 - What You Need (and Don't Need) to Be a Scientist; Chapter 2 - Laying the Foundation; Chapter 3 - Formulating a Meaningful Hypothesis; Chapter 4 - Evaluating the Meaningfulness of the Research Hypothesis; Chapter 5 - Designing an Experiment; Chapter 6 - Designing Experimental Studies to Achieve Statistical Significance; Chapter 7 - Conducting the Pilot Study(ies); Chapter 8 - Conducting the Actual Study; Chapter 9 - Analyzing and Reporting the Results; Index; About the Author |
Record Nr. | UNINA-9910828920903321 |
Bausell R. Barker <1942->
![]() |
||
Thousand Oaks, CA, : Sage Publications, c1994 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Design and analysis of experiments . Volume 2 Advanced experimental design [[electronic resource] /] / Klaus Hinkelmann, Oscar Kempthorne |
Autore | Hinkelmann Klaus <1932-> |
Pubbl/distr/stampa | Hoboken, NJ, : Wiley, 2005 |
Descrizione fisica | 1 online resource (812 p.) |
Disciplina |
001.4/34
001.434 519.5 |
Altri autori (Persone) | KempthorneOscar |
Collana | Wiley series in probability and mathematical statistics. Applied probability and statistics |
Soggetto topico |
Experimental design
Mathematical statistics |
ISBN |
1-280-27549-9
9786610275496 0-470-32269-1 0-471-70994-8 0-471-70993-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Design and Analysis of Experiments; Contents; Preface; 1 General Incomplete Block Design; 1.1 Introduction and Examples; 1.2 General Remarks on the Analysis of Incomplete Block Designs; 1.3 The Intrablock Analysis; 1.3.1 Notation and Model; 1.3.2 Normal and Reduced Normal Equations; 1.3.3 The C Matrix and Estimable Functions; 1.3.4 Solving the Reduced Normal Equations; 1.3.5 Estimable Functions of Treatment Effects; 1.3.6 Analyses of Variance; 1.4 Incomplete Designs with Variable Block Size; 1.5 Disconnected Incomplete Block Designs; 1.6 Randomization Analysis; 1.6.1 Derived Linear Model
1.6.2 Randomization Analysis of ANOVA Tables1.7 Interblock Information in an Incomplete Block Design; 1.7.1 Introduction and Rationale; 1.7.2 Interblock Normal Equations; 1.7.3 Nonavailability of Interblock Information; 1.8 Combined Intra- and Interblock Analysis; 1.8.1 Combining Intra- and Interblock Information; 1.8.2 Linear Model; 1.8.3 Normal Equations; 1.8.4 Some Special Cases; 1.9 Relationships Among Intrablock, Interblock, and Combined Estimation; 1.9.1 General Case; 1.9.2 Case of Proper, Equireplicate Designs; 1.10 Estimation of Weights for the Combined Analysis 1.10.1 Yates Procedure1.10.2 Properties of Combined Estimators; 1.11 Maximum-Likelihood Type Estimation; 1.11.1 Maximum-Likelihood Estimation; 1.11.2 Restricted Maximum-Likelihood Estimation; 1.12 Efficiency Factor of an Incomplete Block Design; 1.12.1 Average Variance for Treatment Comparisons for an IBD; 1.12.2 Definition of Efficiency Factor; 1.12.3 Upper Bound for the Efficiency Factor; 1.13 Optimal Designs; 1.13.1 Information Function; 1.13.2 Optimality Criteria; 1.13.3 Optimal Symmetric Designs; 1.13.4 Optimality and Research; 1.14 Computational Procedures 1.14.1 Intrablock Analysis Using SAS PROC GLM1.14.2 Intrablock Analysis Using the Absorb Option in SAS PROC GLM; 1.14.3 Combined Intra- and Interblock Analysis Using the Yates Procedure; 1.14.4 Combined Intra- and Interblock Analysis Using SAS PROC MIXED; 1.14.5 Comparison of Estimation Procedures; 1.14.6 Testing of Hypotheses; 2 Balanced Incomplete Block Designs; 2.1 Introduction; 2.2 Definition of the BIB Design; 2.3 Properties of BIB Designs; 2.4 Analysis of BIB Designs; 2.4.1 Intrablock Analysis; 2.4.2 Combined Analysis; 2.5 Estimation of ρ; 2.6 Significance Tests 2.7 Some Special Arrangements2.7.1 Replication Groups Across Blocks; 2.7.2 Grouped Blocks; 2.7.3 α-Resolvable BIB Designs with Replication Groups Across Blocks; 2.8 Resistant and Susceptible BIB Designs; 2.8.1 Variance-Balanced Designs; 2.8.2 Definition of Resistant Designs; 2.8.3 Characterization of Resistant Designs; 2.8.4 Robustness and Connectedness; 3 Construction of Balanced Incomplete Block Designs; 3.1 Introduction; 3.2 Difference Methods; 3.2.1 Cyclic Development of Difference Sets; 3.2.2 Method of Symmetrically Repeated Differences; 3.2.3 Formulation in Terms of Galois Field Theory 3.3 Other Methods |
Record Nr. | UNINA-9910143561003321 |
Hinkelmann Klaus <1932->
![]() |
||
Hoboken, NJ, : Wiley, 2005 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Design and analysis of experiments . Volume 2 Advanced experimental design / / Klaus Hinkelmann, Oscar Kempthorne |
Autore | Hinkelmann Klaus <1932-> |
Pubbl/distr/stampa | Hoboken, NJ, : Wiley, 2005 |
Descrizione fisica | 1 online resource (812 p.) |
Disciplina |
001.4/34
001.434 519.5 |
Altri autori (Persone) | KempthorneOscar |
Collana | Wiley series in probability and mathematical statistics. Applied probability and statistics |
Soggetto topico |
Experimental design
Mathematical stastics |
ISBN |
1-280-27549-9
9786610275496 0-470-32269-1 0-471-70994-8 0-471-70993-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Design and Analysis of Experiments; Contents; Preface; 1 General Incomplete Block Design; 1.1 Introduction and Examples; 1.2 General Remarks on the Analysis of Incomplete Block Designs; 1.3 The Intrablock Analysis; 1.3.1 Notation and Model; 1.3.2 Normal and Reduced Normal Equations; 1.3.3 The C Matrix and Estimable Functions; 1.3.4 Solving the Reduced Normal Equations; 1.3.5 Estimable Functions of Treatment Effects; 1.3.6 Analyses of Variance; 1.4 Incomplete Designs with Variable Block Size; 1.5 Disconnected Incomplete Block Designs; 1.6 Randomization Analysis; 1.6.1 Derived Linear Model
1.6.2 Randomization Analysis of ANOVA Tables1.7 Interblock Information in an Incomplete Block Design; 1.7.1 Introduction and Rationale; 1.7.2 Interblock Normal Equations; 1.7.3 Nonavailability of Interblock Information; 1.8 Combined Intra- and Interblock Analysis; 1.8.1 Combining Intra- and Interblock Information; 1.8.2 Linear Model; 1.8.3 Normal Equations; 1.8.4 Some Special Cases; 1.9 Relationships Among Intrablock, Interblock, and Combined Estimation; 1.9.1 General Case; 1.9.2 Case of Proper, Equireplicate Designs; 1.10 Estimation of Weights for the Combined Analysis 1.10.1 Yates Procedure1.10.2 Properties of Combined Estimators; 1.11 Maximum-Likelihood Type Estimation; 1.11.1 Maximum-Likelihood Estimation; 1.11.2 Restricted Maximum-Likelihood Estimation; 1.12 Efficiency Factor of an Incomplete Block Design; 1.12.1 Average Variance for Treatment Comparisons for an IBD; 1.12.2 Definition of Efficiency Factor; 1.12.3 Upper Bound for the Efficiency Factor; 1.13 Optimal Designs; 1.13.1 Information Function; 1.13.2 Optimality Criteria; 1.13.3 Optimal Symmetric Designs; 1.13.4 Optimality and Research; 1.14 Computational Procedures 1.14.1 Intrablock Analysis Using SAS PROC GLM1.14.2 Intrablock Analysis Using the Absorb Option in SAS PROC GLM; 1.14.3 Combined Intra- and Interblock Analysis Using the Yates Procedure; 1.14.4 Combined Intra- and Interblock Analysis Using SAS PROC MIXED; 1.14.5 Comparison of Estimation Procedures; 1.14.6 Testing of Hypotheses; 2 Balanced Incomplete Block Designs; 2.1 Introduction; 2.2 Definition of the BIB Design; 2.3 Properties of BIB Designs; 2.4 Analysis of BIB Designs; 2.4.1 Intrablock Analysis; 2.4.2 Combined Analysis; 2.5 Estimation of ρ; 2.6 Significance Tests 2.7 Some Special Arrangements2.7.1 Replication Groups Across Blocks; 2.7.2 Grouped Blocks; 2.7.3 α-Resolvable BIB Designs with Replication Groups Across Blocks; 2.8 Resistant and Susceptible BIB Designs; 2.8.1 Variance-Balanced Designs; 2.8.2 Definition of Resistant Designs; 2.8.3 Characterization of Resistant Designs; 2.8.4 Robustness and Connectedness; 3 Construction of Balanced Incomplete Block Designs; 3.1 Introduction; 3.2 Difference Methods; 3.2.1 Cyclic Development of Difference Sets; 3.2.2 Method of Symmetrically Repeated Differences; 3.2.3 Formulation in Terms of Galois Field Theory 3.3 Other Methods |
Record Nr. | UNINA-9910877199403321 |
Hinkelmann Klaus <1932->
![]() |
||
Hoboken, NJ, : Wiley, 2005 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
DS-RT 2006 : proceedings : Tenth IEEE International Symposium on Distributed Simulation and Real-Time Applications : 2-4 October 2006, Torremolinos (Málaga), Spain |
Pubbl/distr/stampa | [Place of publication not identified] : , : IEEE Computer Society, , 2006 |
Disciplina | 001.4/34 |
Collana | ACM Conferences. |
Soggetto topico |
Computer simulation - Distributed processing
Interactive computer systems Electronic data processing Real-time data processing Engineering & Applied Sciences Computer Science |
ISBN | 1-5090-9631-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | DS-RT '06 |
Record Nr. | UNISA-996198858603316 |
[Place of publication not identified] : , : IEEE Computer Society, , 2006 | ||
![]() | ||
Lo trovi qui: Univ. di Salerno | ||
|
DS-RT 2006 : proceedings : Tenth IEEE International Symposium on Distributed Simulation and Real-Time Applications : 2-4 October 2006, Torremolinos (Málaga), Spain |
Pubbl/distr/stampa | [Place of publication not identified] : , : IEEE Computer Society, , 2006 |
Disciplina | 001.4/34 |
Collana | ACM Conferences. |
Soggetto topico |
Computer simulation - Distributed processing
Interactive computer systems Electronic data processing Real-time data processing Engineering & Applied Sciences Computer Science |
ISBN | 1-5090-9631-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | DS-RT '06 |
Record Nr. | UNINA-9910142679403321 |
[Place of publication not identified] : , : IEEE Computer Society, , 2006 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Error and the growth of experimental knowledge [[electronic resource] /] / Deborah G. Mayo |
Autore | Mayo Deborah G |
Pubbl/distr/stampa | Chicago, : University of Chicago Press, 1996 |
Descrizione fisica | 1 online resource (512 p.) |
Disciplina | 001.4/34 |
Collana | Science and its conceptual foundations |
Soggetto topico |
Error analysis (Mathematics)
Bayesian statistical decision theory Science - Philosophy |
Soggetto genere / forma | Electronic books. |
ISBN |
1-283-05840-5
9786613058409 0-226-51199-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Frontmatter -- Contents -- Preface -- 1. Learning from Error -- 2. Ducks, Rabbits, and Normal Science: Recasting the Kuhn's-Eye View of Popper -- 3. The New Experimentalism and the Bayesian Way -- 4. Duhem, Kuhn, and Bayes -- 5. Models of Experimental Inquiry -- 6. Severe Tests and Methodological Underdetermination -- 7. The Experimental Basis from Which to Test Hypotheses: Brownian Motion -- 8. Severe Tests and Novel Evidence -- 9. Hunting and Snooping: Understanding the Neyman-Pearson Predesignationist Stance -- 10. Why You Cannot Be Just a Little Bit Bayesian -- 11. Why Pearson Rejected the Neyman-Pearson (Behavioristic) Philosophy and a Note on Objectivity in Statistics -- 12. Error Statistics and Peircean Error Correction -- 13. Toward an Error-Statistical Philosophy of Science -- References -- Index |
Record Nr. | UNINA-9910459599603321 |
Mayo Deborah G
![]() |
||
Chicago, : University of Chicago Press, 1996 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Error and the growth of experimental knowledge [[electronic resource] /] / Deborah G. Mayo |
Autore | Mayo Deborah G |
Pubbl/distr/stampa | Chicago, : University of Chicago Press, 1996 |
Descrizione fisica | 1 online resource (512 p.) |
Disciplina | 001.4/34 |
Collana | Science and its conceptual foundations |
Soggetto topico |
Error analysis (Mathematics)
Bayesian statistical decision theory Science - Philosophy |
Soggetto non controllato | experimental knowledge, statistical inference, error-statistical approach, experiment, analysis, objectivity, rationality, logical inconsistencies, error, errors, mathematics, math, bayesian decision theory, science, methodological underdetermination, brownian motion, neyman-pearson predesignationist stance, peircean correction, inquiry |
ISBN |
1-283-05840-5
9786613058409 0-226-51199-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Front matter -- Contents -- Preface -- 1. Learning from Error -- 2. Ducks, Rabbits, and Normal Science: Recasting the Kuhn's-Eye View of Popper -- 3. The New Experimentalism and the Bayesian Way -- 4. Duhem, Kuhn, and Bayes -- 5. Models of Experimental Inquiry -- 6. Severe Tests and Methodological Underdetermination -- 7. The Experimental Basis from Which to Test Hypotheses: Brownian Motion -- 8. Severe Tests and Novel Evidence -- 9. Hunting and Snooping: Understanding the Neyman-Pearson Predesignationist Stance -- 10. Why You Cannot Be Just a Little Bit Bayesian -- 11. Why Pearson Rejected the Neyman-Pearson (Behavioristic) Philosophy and a Note on Objectivity in Statistics -- 12. Error Statistics and Peircean Error Correction -- 13. Toward an Error-Statistical Philosophy of Science -- References -- Index |
Record Nr. | UNINA-9910785426003321 |
Mayo Deborah G
![]() |
||
Chicago, : University of Chicago Press, 1996 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Error and the growth of experimental knowledge / / Deborah G. Mayo |
Autore | Mayo Deborah G |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Chicago, : University of Chicago Press, 1996 |
Descrizione fisica | 1 online resource (512 p.) |
Disciplina | 001.4/34 |
Collana | Science and its conceptual foundations |
Soggetto topico |
Error analysis (Mathematics)
Bayesian statistical decision theory Science - Philosophy |
Soggetto non controllato | experimental knowledge, statistical inference, error-statistical approach, experiment, analysis, objectivity, rationality, logical inconsistencies, error, errors, mathematics, math, bayesian decision theory, science, methodological underdetermination, brownian motion, neyman-pearson predesignationist stance, peircean correction, inquiry |
ISBN |
1-283-05840-5
9786613058409 0-226-51199-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Front matter -- Contents -- Preface -- 1. Learning from Error -- 2. Ducks, Rabbits, and Normal Science: Recasting the Kuhn's-Eye View of Popper -- 3. The New Experimentalism and the Bayesian Way -- 4. Duhem, Kuhn, and Bayes -- 5. Models of Experimental Inquiry -- 6. Severe Tests and Methodological Underdetermination -- 7. The Experimental Basis from Which to Test Hypotheses: Brownian Motion -- 8. Severe Tests and Novel Evidence -- 9. Hunting and Snooping: Understanding the Neyman-Pearson Predesignationist Stance -- 10. Why You Cannot Be Just a Little Bit Bayesian -- 11. Why Pearson Rejected the Neyman-Pearson (Behavioristic) Philosophy and a Note on Objectivity in Statistics -- 12. Error Statistics and Peircean Error Correction -- 13. Toward an Error-Statistical Philosophy of Science -- References -- Index |
Record Nr. | UNINA-9910825700003321 |
Mayo Deborah G
![]() |
||
Chicago, : University of Chicago Press, 1996 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|