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Biblioteca

MARC Lista (tabellare)
Conducting meaningful experiments [[electronic resource] ] : 40 steps to becoming a scientist / / R. Barker Bausell
Conducting meaningful experiments [[electronic resource] ] : 40 steps to becoming a scientist / / R. Barker Bausell
Autore Bausell R. Barker <1942->
Pubbl/distr/stampa Thousand Oaks, CA, : SAGE, c1994
Descrizione fisica 1 online resource (146 p.) : ill
Disciplina 001.434
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-9910785789703321
Bausell R. Barker <1942->  
Thousand Oaks, CA, : SAGE, c1994
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Conducting meaningful experiments [[electronic resource] ] : 40 steps to becoming a scientist / / R. Barker Bausell
Conducting meaningful experiments [[electronic resource] ] : 40 steps to becoming a scientist / / R. Barker Bausell
Autore Bausell R. Barker <1942->
Edizione [1st ed.]
Pubbl/distr/stampa Thousand Oaks, CA, : SAGE, c1994
Descrizione fisica 1 online resource (146 p.) : ill
Disciplina 001.434
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, c1994
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Constructions and combinatorial problems in design of experiments / by Damaraju Raghavarao
Constructions and combinatorial problems in design of experiments / by Damaraju Raghavarao
Autore Raghavarao, Damaraju
Edizione [Dover ed]
Pubbl/distr/stampa New York : Dover, 1988
Descrizione fisica xv, 386 p. ; 21 cm.
Disciplina 001.434
Collana Dover books on advanced mathematics
Soggetto topico Combinatorial analysis
Experimental design
ISBN 0486656853
Classificazione AMS 62K
QA279.R34
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991000783979707536
Raghavarao, Damaraju  
New York : Dover, 1988
Materiale a stampa
Lo trovi qui: Univ. del Salento
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The design and analysis of clinical experiments [[electronic resource] /] / Joseph L. Fleiss
The design and analysis of clinical experiments [[electronic resource] /] / Joseph L. Fleiss
Autore Fleiss Joseph L
Edizione [Wiley classics library ed.]
Pubbl/distr/stampa New York, : Wiley, 1999
Descrizione fisica 1 online resource (458 p.)
Disciplina 001.434
615.5/07/24
Collana Wiley classics library
Soggetto topico Clinical trials - Statistical methods
Soggetto genere / forma Electronic books.
ISBN 1-282-25175-9
9786613813923
1-118-03292-6
1-118-03117-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto The Design and Analysis of Clinical Experiments; Contents; CHAPTER 1. RELIABILITY OF MEASUREMENT; 1.1. A Statistical Model for Reliability; 1.2. Some Consequences of Unreliability; 1.3. The Simple Replication Reliability Study; 1.4. The Control of Unreliability by Replication; 1.5. The Interexaminer Reliability Study; Problems; References; CHAPTER 2. SIMPLE LINEAR REGRESSION ANALYSIS; 2.1. The Linear Regression Model; 2.2. Inferences About the Slope and Intercept; 2.3. Estimating Input from Output; Problems; References; CHAPTER 3. THE PARALLEL GROUPS DESIGN
CHAPTER 5. BLOCKING TO CONTROL FOR PROGNOSTIC VARIABLES5.1. The Randomized Blocks Experiment; 5.2. The Analysis of Variance for Randomized Blocks; 5.3. Nonparametric Analyses; 5.4. Missing Values; Problems; References; CHAPTER 6. STRATIFICATION TO CONTROL FOR PROGNOSTIC VARIABLES; 6.1. The Comparison of Two Treatments; 6.2. Treatment-by-Stratum Interaction; 6.3. Pre- Versus Post-Stratification; 6.4. The Comparison of More than Two Treatments; 6.5. Multicenter Studies; Problems; References; CHAPTER 7. ANALYSIS OF COVARIANCE AND THE STUDY OF CHANGE; 7.1. The Measurement of Change
CHAPTER 13. SPLIT-PLOT DESIGNS AND CONFOUNDING
Record Nr. UNINA-9910139204003321
Fleiss Joseph L  
New York, : Wiley, 1999
Materiale a stampa
Lo trovi qui: Univ. Federico II
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The design and analysis of clinical experiments [[electronic resource] /] / Joseph L. Fleiss
The design and analysis of clinical experiments [[electronic resource] /] / Joseph L. Fleiss
Autore Fleiss Joseph L
Edizione [Wiley classics library ed.]
Pubbl/distr/stampa New York, : Wiley, 1999
Descrizione fisica 1 online resource (458 p.)
Disciplina 001.434
615.5/07/24
Collana Wiley classics library
Soggetto topico Clinical trials - Statistical methods
ISBN 1-282-25175-9
9786613813923
1-118-03292-6
1-118-03117-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto The Design and Analysis of Clinical Experiments; Contents; CHAPTER 1. RELIABILITY OF MEASUREMENT; 1.1. A Statistical Model for Reliability; 1.2. Some Consequences of Unreliability; 1.3. The Simple Replication Reliability Study; 1.4. The Control of Unreliability by Replication; 1.5. The Interexaminer Reliability Study; Problems; References; CHAPTER 2. SIMPLE LINEAR REGRESSION ANALYSIS; 2.1. The Linear Regression Model; 2.2. Inferences About the Slope and Intercept; 2.3. Estimating Input from Output; Problems; References; CHAPTER 3. THE PARALLEL GROUPS DESIGN
CHAPTER 5. BLOCKING TO CONTROL FOR PROGNOSTIC VARIABLES5.1. The Randomized Blocks Experiment; 5.2. The Analysis of Variance for Randomized Blocks; 5.3. Nonparametric Analyses; 5.4. Missing Values; Problems; References; CHAPTER 6. STRATIFICATION TO CONTROL FOR PROGNOSTIC VARIABLES; 6.1. The Comparison of Two Treatments; 6.2. Treatment-by-Stratum Interaction; 6.3. Pre- Versus Post-Stratification; 6.4. The Comparison of More than Two Treatments; 6.5. Multicenter Studies; Problems; References; CHAPTER 7. ANALYSIS OF COVARIANCE AND THE STUDY OF CHANGE; 7.1. The Measurement of Change
CHAPTER 13. SPLIT-PLOT DESIGNS AND CONFOUNDING
Record Nr. UNINA-9910830296703321
Fleiss Joseph L  
New York, : Wiley, 1999
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The design and analysis of clinical experiments [[electronic resource] /] / Joseph L. Fleiss
The design and analysis of clinical experiments [[electronic resource] /] / Joseph L. Fleiss
Autore Fleiss Joseph L
Edizione [Wiley classics library ed.]
Pubbl/distr/stampa New York, : Wiley, 1999
Descrizione fisica 1 online resource (458 p.)
Disciplina 001.434
615.5/07/24
Collana Wiley classics library
Soggetto topico Clinical trials - Statistical methods
ISBN 1-282-25175-9
9786613813923
1-118-03292-6
1-118-03117-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto The Design and Analysis of Clinical Experiments; Contents; CHAPTER 1. RELIABILITY OF MEASUREMENT; 1.1. A Statistical Model for Reliability; 1.2. Some Consequences of Unreliability; 1.3. The Simple Replication Reliability Study; 1.4. The Control of Unreliability by Replication; 1.5. The Interexaminer Reliability Study; Problems; References; CHAPTER 2. SIMPLE LINEAR REGRESSION ANALYSIS; 2.1. The Linear Regression Model; 2.2. Inferences About the Slope and Intercept; 2.3. Estimating Input from Output; Problems; References; CHAPTER 3. THE PARALLEL GROUPS DESIGN
CHAPTER 5. BLOCKING TO CONTROL FOR PROGNOSTIC VARIABLES5.1. The Randomized Blocks Experiment; 5.2. The Analysis of Variance for Randomized Blocks; 5.3. Nonparametric Analyses; 5.4. Missing Values; Problems; References; CHAPTER 6. STRATIFICATION TO CONTROL FOR PROGNOSTIC VARIABLES; 6.1. The Comparison of Two Treatments; 6.2. Treatment-by-Stratum Interaction; 6.3. Pre- Versus Post-Stratification; 6.4. The Comparison of More than Two Treatments; 6.5. Multicenter Studies; Problems; References; CHAPTER 7. ANALYSIS OF COVARIANCE AND THE STUDY OF CHANGE; 7.1. The Measurement of Change
CHAPTER 13. SPLIT-PLOT DESIGNS AND CONFOUNDING
Record Nr. UNINA-9910841771003321
Fleiss Joseph L  
New York, : Wiley, 1999
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The Design and Analysis of Computer Experiments [[electronic resource] /] / by Thomas J. Santner, Brian J. Williams, William I. Notz
The Design and Analysis of Computer Experiments [[electronic resource] /] / by Thomas J. Santner, Brian J. Williams, William I. Notz
Autore Santner Thomas J
Edizione [2nd ed. 2018.]
Pubbl/distr/stampa New York, NY : , : Springer New York : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (446 pages)
Disciplina 001.434
Collana Springer Series in Statistics
Soggetto topico Statistics 
Applied mathematics
Engineering mathematics
Statistical Theory and Methods
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Mathematical and Computational Engineering
ISBN 1-4939-8847-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Physical Experiments and Computer Experiments -- Stochastic Process Models for Describing Simulator Output -- Empirical Best Linear Unbiased Prediction for Simulator Output -- Bayesian Inference for Simulator Output -- Space-Filling Designs for Computer Experiments -- Some Criterion-based Experimental Designs -- Sensitivity Analysis and Variable Screening -- Calibration -- Appendix A : List of Notation -- Appendix B: Mathematical Facts -- Appendix C: An Overview of Selected Optimization Algorithms -- Appendix D: An Introduction to Markov Chain Monte Carlo Algorithms -- Appendix E: A Primer on Constructing Quasi-Monte Carlo Sequences.
Record Nr. UNINA-9910309663403321
Santner Thomas J  
New York, NY : , : Springer New York : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Design and analysis of experiments / Angela Dean, Daniel Voss
Design and analysis of experiments / Angela Dean, Daniel Voss
Autore Dean, Angela
Pubbl/distr/stampa New York : Springer, ©1999
Descrizione fisica XIX, 740 p. : ill. ; 24 cm
Disciplina 001.434
Altri autori (Persone) Voss, Daniel
Collana Springer texts in statistics
ISBN 0-387-98561-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-990007023480403321
Dean, Angela  
New York : Springer, ©1999
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Design and analysis of experiments . Volume 2 Advanced experimental design [[electronic resource] /] / Klaus Hinkelmann, Oscar Kempthorne
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
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Design and analysis of experiments . Volume 2 Advanced experimental design [[electronic resource] /] / Klaus Hinkelmann, Oscar Kempthorne
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-9910677462603321
Hinkelmann Klaus <1932->  
Hoboken, NJ, : Wiley, 2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui