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Statistical design and analysis of biological experiments / / Hans-Michael Kaltenbach
Statistical design and analysis of biological experiments / / Hans-Michael Kaltenbach
Autore Kaltenbach Hans-Michael
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (281 pages)
Disciplina 001.434
Collana Statistics for Biology and Health
Soggetto topico Experimental design
Disseny d'experiments
Soggetto genere / forma Llibres electrònics
ISBN 3-030-69641-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910484898003321
Kaltenbach Hans-Michael  
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Statistical Design for Research [[electronic resource]]
Statistical Design for Research [[electronic resource]]
Autore Kish Leslie
Pubbl/distr/stampa Hoboken, : John Wiley & Sons, Inc., 2005
Descrizione fisica 1 online resource (293 p.)
Disciplina 001.4/22
Collana Wiley series in probability and mathematical statistics. Applied probability and statistics section Statistical design for research
Soggetto topico Experimental design
Social sciences
Mathematics
General Works / Reference
Experimental design - Statistical methods
Mathematical Statistics
Physical Sciences & Mathematics
Soggetto genere / forma Electronic books.
ISBN 9786610252985
0-471-72519-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Statistical Design for Research; Contents; Chapter and Section Contents; Tables and Figures; 1. Representation, Randomization, and Realism; 2. Analytical Uses of Sample Surveys; 3. Designs for Comparisons; 4. Controls for Disturbing Variables; 5. Samples and Censuses; 6. Sample Designs Over Time; 7. Several Distinct Problems of Design; Problems; References; Index;
Record Nr. UNINA-9910145901503321
Kish Leslie  
Hoboken, : John Wiley & Sons, Inc., 2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistical Design for Research [[electronic resource]]
Statistical Design for Research [[electronic resource]]
Autore Kish Leslie
Pubbl/distr/stampa Hoboken, : John Wiley & Sons, Inc., 2005
Descrizione fisica 1 online resource (293 p.)
Disciplina 001.4/22
Collana Wiley series in probability and mathematical statistics. Applied probability and statistics section Statistical design for research
Soggetto topico Experimental design
Social sciences
Mathematics
General Works / Reference
Experimental design - Statistical methods
Mathematical Statistics
Physical Sciences & Mathematics
ISBN 9786610252985
0-471-72519-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Statistical Design for Research; Contents; Chapter and Section Contents; Tables and Figures; 1. Representation, Randomization, and Realism; 2. Analytical Uses of Sample Surveys; 3. Designs for Comparisons; 4. Controls for Disturbing Variables; 5. Samples and Censuses; 6. Sample Designs Over Time; 7. Several Distinct Problems of Design; Problems; References; Index;
Record Nr. UNINA-9910830128203321
Kish Leslie  
Hoboken, : John Wiley & Sons, Inc., 2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistical Design for Research [[electronic resource]]
Statistical Design for Research [[electronic resource]]
Autore Kish Leslie
Pubbl/distr/stampa Hoboken, : John Wiley & Sons, Inc., 2005
Descrizione fisica 1 online resource (293 p.)
Disciplina 001.4/22
Collana Wiley series in probability and mathematical statistics. Applied probability and statistics section Statistical design for research
Soggetto topico Experimental design
Social sciences
Mathematics
General Works / Reference
Experimental design - Statistical methods
Mathematical Statistics
Physical Sciences & Mathematics
ISBN 9786610252985
0-471-72519-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Statistical Design for Research; Contents; Chapter and Section Contents; Tables and Figures; 1. Representation, Randomization, and Realism; 2. Analytical Uses of Sample Surveys; 3. Designs for Comparisons; 4. Controls for Disturbing Variables; 5. Samples and Censuses; 6. Sample Designs Over Time; 7. Several Distinct Problems of Design; Problems; References; Index;
Record Nr. UNINA-9910840657103321
Kish Leslie  
Hoboken, : John Wiley & Sons, Inc., 2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistical method in biological assay / David J. Finney
Statistical method in biological assay / David J. Finney
Autore Finney, David J.
Edizione [3. ed]
Pubbl/distr/stampa New York : Charles Griffin & Co., 1978
Descrizione fisica x, 508 p. : ill. ; 23 cm
Disciplina 519.5
Soggetto topico Biological assay
Experimental design
Mathematical statistics
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991003558569707536
Finney, David J.  
New York : Charles Griffin & Co., 1978
Materiale a stampa
Lo trovi qui: Univ. del Salento
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Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications [[electronic resource] ] : Selected Contributions from SimStat 2019 and Invited Papers / / edited by Jürgen Pilz, Viatcheslav B. Melas, Arne Bathke
Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications [[electronic resource] ] : Selected Contributions from SimStat 2019 and Invited Papers / / edited by Jürgen Pilz, Viatcheslav B. Melas, Arne Bathke
Autore Pilz Jürgen
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (265 pages)
Disciplina 519.57
Altri autori (Persone) MelasViatcheslav B
BathkeArne
Collana Contributions to Statistics
Soggetto topico Statistics
Mathematical statistics - Data processing
Experimental design
Machine learning
Stochastic models
Statistical Theory and Methods
Statistics and Computing
Design of Experiments
Machine Learning
Applied Statistics
Stochastic Modelling in Statistics
ISBN 3-031-40055-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- Part I Invited Papers -- 1 Likelihood Ratios in Forensics: What They Are and What They Are Not -- 1.1 Introduction -- 1.2 Lindley's Likelihood Ratio (LLR) -- 1.2.1 Notations -- 1.2.2 A Frequentist Framework for Lindley's Likelihood Ratio (LLR) -- 1.3 Score-Based Likelihood Ratio (SLR) -- 1.3.1 The Expression of the SLR -- 1.3.2 The Glass Example -- 1.4 Discussion -- References -- 2 MANOVA for Large Number of Treatments -- 2.1 Introduction -- 2.2 Notations and Model Setup -- 2.3 Simulations -- 2.3.1 MANOVA Tests for Large g -- 2.3.2 Special Case: ANOVA for Large g -- 2.4 Discussion and Outlook -- References -- 3 Pollutant Dispersion Simulation by Means of a Stochastic Particle Model and a Dynamic Gaussian Plume Model -- 3.1 Introduction -- 3.2 Meteorological Monitoring Network -- 3.3 Wind Field Modeling -- 3.3.1 Mass Correction of the Wind Field -- 3.3.2 Plume Rise -- 3.4 Stochastic Particle Model -- 3.4.1 Deposition -- 3.4.2 Implementation -- 3.5 Dynamic Gaussian Plume Model -- 3.6 Implementation on the Server -- 3.7 A Real-World Example with Application to an Alpine Valley -- 3.8 Conclusions and Outlook -- References -- 4 On an Alternative Trigonometric Strategy for StatisticalModeling -- 4.1 Introduction -- 4.2 The Alternative Sine Distribution -- 4.2.1 Presentation -- 4.2.2 Moment Properties -- 4.2.3 Parametric Extensions -- 4.3 AS Generated Family -- 4.3.1 Definition -- 4.3.2 Series Expansions -- 4.3.3 Example: The ASE Exponential Distribution -- 4.3.4 Moment Properties -- 4.4 Application to a Famous Cancer Data -- 4.5 Conclusion -- References -- Part II Design of Experiments -- 5 Incremental Construction of Nested Designs Basedon Two-Level Fractional Factorial Designs -- 5.1 Introduction -- 5.2 Greedy Coffee-House Design -- 5.3 Two-Level Fractional Factorial Designs -- 5.3.1 Half Fractions: m=1.
5.3.2 Several Generators -- 5.3.2.1 Defining Relations -- 5.3.2.2 Resolution -- 5.3.2.3 Word Length Pattern -- 5.3.3 Minimum Size -- 5.4 Two-Level Factorial Designs and Error-Correcting Codes -- 5.4.1 Definitions and Properties -- 5.4.2 Examples -- 5.5 Maximin Distance Properties of Two-Level Factorial Designs -- 5.5.1 Neighbouring Pattern and Distant Site Pattern -- 5.5.2 Optimal Selection of Generators by Simulated Annealing -- 5.5.2.1 SA Algorithm for the Maximisation of ρH -- 5.6 Covering Properties of Two-Level Factorial Designs -- 5.6.1 Bounds on CRH(Xn) -- 5.6.2 Calculation of CRH(Xn) -- 5.6.2.1 Algorithmic Construction of a Lower Bound on CRH(Xn) -- 5.7 Greedy Constructions Based on Fractional Factorial Designs -- 5.7.1 Base Designs -- 5.7.2 Rescaled Designs -- 5.7.3 Projection Properties -- 5.8 Summary and Future Work -- Appendix -- References -- 6 A Study of L-Optimal Designs for the Two-Dimensional Exponential Model -- 6.1 Introduction -- 6.2 Equivalence Theorem for L-Optimal Designs -- 6.3 General Case -- 6.4 Excess and Saturated Designs -- References -- 7 Testing for Randomized Block Single-Case Designsby Combined Permutation Tests with Multivariate Mixed Data -- 7.1 Introduction -- 7.2 Randomized Block Single-Case Designs and NPC -- 7.3 Simulation Study -- 7.4 A Real Case Study -- 7.5 Conclusions -- References -- 8 Adaptive Design Criteria Motivated by a Plug-In Percentile Estimator -- 8.1 Introduction -- 8.2 Problem Formulation and Background -- 8.2.1 Problem Formulation -- 8.2.2 Background -- 8.3 The Plug-In Estimator -- 8.4 Adaptive ``Plug-In'' Criteria -- 8.4.1 Monte Carlo Approximation -- 8.4.2 Monte Carlo Approximation Assuming Independency -- 8.4.3 Assuming Independency and Neglecting Uncertainty -- 8.4.4 Using SUR Design Criterion for Exceedance Probability -- 8.5 Numerical Implementation -- 8.6 Numerical Study.
8.6.1 Comparison Study -- 8.6.2 Methodology -- 8.6.2.1 Case Studies -- 8.6.2.2 Performance Indicators -- 8.6.3 Numerical Results -- 8.6.3.1 Estimators Performance -- 8.6.3.2 Implementation -- 8.6.3.3 Criteria -- 8.7 Conclusions -- Appendix 1 -- Posterior Mean and Variance of f Under the Gaussian Process Assumption -- SUR Design Criteria for Exceedance Probability Estimation -- Appendix 2 -- References -- Part III Queueing and Inventory Analysis -- 9 On a Parametric Estimation for a Convolutionof Exponential Densities -- 9.1 Introduction -- 9.2 Convolution of the Exponential Densities -- 9.3 ML Estimation of the Parameters -- 9.4 Parameter's Estimation by the Moments' Method -- 9.5 Approximation of the Density -- 9.6 Experimental Study -- 9.7 Application to a Single Queueing System M/G/1/k -- 9.8 Conclusions -- References -- 10 Statistical Estimation with a Known Quantileand Its Application in a Modified ABC-XYZ Analysis -- 10.1 Introduction -- 10.2 Methods -- 10.2.1 Statistical Estimation with a Known Quantile -- 10.2.2 ABC-XYZ Analysis -- 10.3 ABC-XYZ Analysis Modified with a Known Quantile -- 10.4 Conclusions -- References -- Part IV Machine Learning and Applications -- 11 A Study of Design of Experiments and Machine Learning Methods to Improve Fault Detection Algorithms -- 11.1 Introduction -- 11.2 Design of Experiments and Machine Learning Modelling -- 11.3 Application to Fault Detection -- 11.3.1 Design of Experiments Step -- 11.3.2 Machine Learning Modelling Step -- 11.3.2.1 Refrigerant Undercharge: Fault Detection -- 11.3.2.2 Condenser Fouling: Fault Detection -- 11.4 Conclusions -- References -- 12 Microstructure Image Segmentation Using Patch-Based Clustering Approach -- 12.1 Introduction -- 12.2 Input Data -- 12.3 Previous Work -- 12.4 Grain Segmentation -- 12.4.1 Seeded Region Growing (SRG) -- 12.4.2 Image Denoising and Patch Determination.
12.4.3 Feature Extraction -- 12.4.4 Patch Clustering -- 12.4.5 Implementation -- 12.5 Results -- 12.6 Conclusion and Outlook -- References -- 13 Clustering and Symptom Analysis in Binary Datawith Application -- 13.1 Introduction -- 13.2 The Symptom Analysis -- 13.2.1 The Symptom and Syndrome Definition -- 13.2.2 Impulse Vector and Super-symptoms -- 13.2.3 Prefigurations of Super-symptom -- 13.2.4 The Super-symptom Recovery by Vector β -- 13.2.5 Clustering in Dichotomous Space and Symptom Analysis -- 13.3 The Medical Application of the Clustering and Symptom Analysis in Binary Data -- 13.3.1 Dataset -- 13.3.2 Result and Discussion -- 13.4 Conclusion -- References -- 14 Big Data for Credit Risk Analysis: Efficient Machine Learning Models Using PySpark -- 14.1 Introduction -- 14.2 Data Processing -- 14.2.1 Data Treatment -- 14.2.2 Data Storage and Distribution -- 14.2.3 Munge Data -- 14.2.4 Creating New Measures -- 14.2.5 Missing Values Imputation and Outliers Treatment -- 14.2.6 One-Hot Code and Dummy Variables -- 14.2.7 Final Dataset -- 14.3 Method and Models -- 14.3.1 Method -- 14.3.2 Model Building -- 14.4 Results and Credit Scorecard Conversion -- 14.5 Conclusion -- Appendix 1 -- Appendix 2 -- References.
Record Nr. UNINA-9910754092903321
Pilz Jürgen  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Statistical theory of the analysis of experimental designs / J. Ogawa
Statistical theory of the analysis of experimental designs / J. Ogawa
Autore Ogawa, Junjiro
Pubbl/distr/stampa New York : Marcel Dekker, 1974
Descrizione fisica vi, 465 p. ; 24 cm.
Disciplina 519.5
Collana Statistics, textbooks and monographs ; 8
Soggetto topico Analysis of variance
Experimental design
ISBN 0824761162
Classificazione AMS 62K
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991001374639707536
Ogawa, Junjiro  
New York : Marcel Dekker, 1974
Materiale a stampa
Lo trovi qui: Univ. del Salento
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Statistics and experimental design in engineering and the physical sciences / Norman L. Johnson and Fred C. Leone
Statistics and experimental design in engineering and the physical sciences / Norman L. Johnson and Fred C. Leone
Autore Johnson, Norman Lloyd
Edizione [2nd ed]
Descrizione fisica 2 v. : ill. ; 24 cm
Disciplina 519.5
Altri autori (Persone) Leone, Fred C.
Collana Wiley series in probability and mathematical statistics. Applied Probability and Statistics, 0271-6353
Soggetto topico Engineering-statistical methods
Experimental design
Mathematical statistics
Physical sciences-statistical methods
ISBN 0471017566
Classificazione AMS 62K
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991001374809707536
Johnson, Norman Lloyd  
Materiale a stampa
Lo trovi qui: Univ. del Salento
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Statistics for experimentalists / B. Cooper
Statistics for experimentalists / B. Cooper
Autore Cooper, B.
Pubbl/distr/stampa Oxford : Pergamon, 1969
Descrizione fisica ix, 336 p. ; 25 cm.
Soggetto topico Experimental design
Classificazione 501'.82
510.62
Q175
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991001265019707536
Cooper, B.  
Oxford : Pergamon, 1969
Materiale a stampa
Lo trovi qui: Univ. del Salento
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Statistics for experimenters : an introduction to design, data analysis, and model building / G. Box, W. Hunter, J.S. Hunter
Statistics for experimenters : an introduction to design, data analysis, and model building / G. Box, W. Hunter, J.S. Hunter
Autore Box, George E. P.
Pubbl/distr/stampa New York : John Wiley & Sons, 1978
Descrizione fisica xviii, 653 p. : ill. ; 24 cm.
Altri autori (Persone) Hunter, J.
Hunter, W.
Soggetto topico Analysis of variance
Experimental design
Classificazione 001.4'24
510.62
QA279
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991001265089707536
Box, George E. P.  
New York : John Wiley & Sons, 1978
Materiale a stampa
Lo trovi qui: Univ. del Salento
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