Linear and Generalized Linear Mixed Models and Their Applications / / by Jiming Jiang, Thuan Nguyen

• Record Nr.: UNINA9910484963903321
• Autore: Jiang Jiming
• Pubbl/distr/stampa: New York, NY : , : Springer New York : , : Imprint : Springer, , 2021
• ISBN: 9781071612828; 1071612824
• Edizione: [2nd ed. 2021.]
• Descrizione fisica: 1 online resource (352 pages) : illustrations
• Collana: Springer Series in Statistics, , 2197-568X
• Disciplina: 519.5
• Soggetti: Biometry; Probabilities; Statistics; Public health; Numerical analysis; Population genetics; Biostatistics; Probability Theory; Statistical Theory and Methods; Public Health; Numerical Analysis; Population Genetics
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 1. Linear Mixed Models: Part I -- 2. Linear Mixed Models: Part II -- 3. Generalized Linear Mixed Models: Part I -- 4. Generalized Linear Mixed Models: Part II.
• Sommario/riassunto: Now in its second edition, this book covers two major classes of mixed effects models—linear mixed models and generalized linear mixed models—and it presents an up-to-date account of theory and methods in analysis of these models as well as their applications in various fields. It offers a systematic approach to inference about non-Gaussian linear mixed models. Furthermore, it discusses the latest developments and methods in the field, incorporating relevant updates since ; publication of the first edition. These include advances in high-dimensional linear mixed models in genome-wide association studies (GWAS), advances in inference about generalized linear mixed models with crossed random effects, new methods in mixed model prediction, mixed model selection, and mixed model diagnostics. This book is suitable for students, researchers, and practitioners who are interested in using mixed models for statistical data analysis with public health applications. It is best for graduatecourses in statistics, or for those who have taken a first course in mathematical statistics, are familiar with using computers for data analysis, and have a foundational background in calculus and linear algebra.

Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6 : Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics 2021 / / edited by Dario Di Maio, Javad Baqersad

• Record Nr.: UNINA9910523721203321
• Autore: Di Maio Dario
• Pubbl/distr/stampa: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
• ISBN: 87-438-0384-9; 87-438-0016-5; 3-030-76335-8
• Edizione: [1st ed. 2022.]
• Descrizione fisica: 1 online resource (192 pages)
• Collana: Conference Proceedings of the Society for Experimental Mechanics Series, , 2191-5652
• Disciplina: 543.0858
• Soggetti: Machinery; Microscopy; Aerospace engineering; Astronautics; Algorithms; Mathematics - Data processing; Machinery and Machine Elements; Optical Microscopy; Aerospace Technology and Astronautics; Computational Mathematics and Numerical Analysis
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Intro -- Preface -- Contents -- 1 WaveAR: A Real-Time Sensor-Based Augmented Reality Implementation for Operating Deflection Shapes -- 1.1 Introduction -- 1.2 Background -- 1.3 Technical Implementation -- 1.3.1 Acceleration and Simplification of the Measurement Configuration for Electromechanical Sensors -- 1.3.2 Universal Data Acquisition Interface -- 1.3.3 Real-Time Visualization in the Form of an AR Application -- 1.4 Measurement Setup -- 1.5 Analysis -- 1.6 Conclusion -- References -- 2 Full-Field 3D Mode Shape Measurement Using the Multiview Spectral Optical Flow Imaging Method -- 2.1 Introduction -- 2.2 Theoretical Background -- 2.3 Preliminary Experiment -- 2.4 Conclusions -- References -- 3 Stereophotogrammetry Camera Pose Optimization -- 3.1 Introduction -- 3.2 General Stereophotogrammetry Setup -- 3.3 Stereo Pose Optimization -- 3.3.1 User Inputs -- 3.3.2 Setup: Establish Bounding Box -- 3.3.3 Pose Estimation -- 3.3.4 Pose Validation -- 3.3.5 Evaluating Output and Final Pose Selection -- 3.4 Predicting Observable Pixel Displacements with FEM -- 3.4.1 Algorithm to Determine Node Visibility from Camera Placements -- 3.4.2 Definition of Frequency Response Functions to Assess Arbitrary Inputs -- 3.4.3 Transformation to Modal Coordinates to Acquire Pixel Displacements for Modes of Interest -- 3.5 Conclusions and Future Work -- References -- 4 Simplified Finite Element Models of Pyramidal Truss Sandwich Panels with Welded Joints for Dynamic Analysis and Their Experimental Validation -- 4.1 Introduction -- 4.2 Methodology -- 4.3 Results of Numerical Analysis -- 4.4 Experimental Validation -- 4.5 Conclusion -- References -- 5 Operational Modal Analysis of Rotating Structures Under Ambient Excitation Using Tracking Continuously Scanning Laser Doppler Vibrometry -- 5.1 Introduction -- 5.2 Methodology -- 5.3 Experimental Setup -- 5.4 OMA Results.; 5.5 Conclusion -- References -- 6 Delamination Detection in Fiber Metal Laminates Using Ultrasonic Wavefield Imaging -- 6.1 Introduction -- 6.2 Literature Review -- 6.3 Model Setup -- 6.4 Feature Extraction Process -- 6.4.1 Detrended Hilbert Envelope Magnitude (DHEM) -- 6.4.2 Low-Pass Local Phase Derivative (LLPD) -- 6.5 Qualitative Evaluation of the Feature Performance -- 6.5.1 Score Metric to Quantify the Feature Performance -- 6.5.2 Experimental Comparisons -- 6.6 Conclusion -- References -- 7 One-Dimensional Convolutional Neural Networks for Real-Time Damage Detection of Rotating Machinery -- 7.1 Introduction and Overview of One-Dimensional CNNs -- 7.2 Proposed Methodology -- 7.3 Laboratory Setup for Bearing Tests -- 7.4 Damage Detection Results -- 7.5 Performance Evaluation in the Presence of Noisy Data -- 7.6 Computational Complexity Analysis -- 7.7 Conclusions -- References -- 8 A Practical Guide to Motion Magnification -- 8.1 Introduction -- 8.2 Methodologies -- 8.2.1 Intensity -- 8.2.2 Fourier Transform -- 8.2.3 Complex Steerable Pyramid -- 8.2.4 Riesz Pyramid -- 8.3 General Guidelines for Use -- 8.4 Conclusion -- References -- 9 Squeeze Film Damper Experimental and Numerical Correlation: Test Setup Description and Parameter Identification of Dry System -- 9.1 Introduction -- 9.2 Damper Test Stand Description -- 9.3 Closed-Form Solution -- 9.4 Experimental Procedure and Results -- 9.5 Numerical Modeling Procedure and Results -- 9.5.1 Model Description -- 9.5.2 Diaphragm Stiffness from Model -- 9.5.3 Numerical Modal and Harmonic Analysis -- 9.6 Comparison -- 9.7 Conclusion -- References -- 10 Full-Field Modal ; Analysis by Using Digital Image Correlation Technique -- 10.1 Introduction -- 10.2 Background -- 10.2.1 Low Speed Camera for High Frequency Behavior Characterization -- 10.3 Experimental Setup and Results -- 10.3.1 Demo Airplane.; 10.3.2 Car Tire -- 10.4 Conclusion -- References -- 11 Validating Complex Models Accurately and Without Contact Using Scanning Laser Doppler Vibrometry (SLDV) -- 11.1 Introduction -- 11.2 Test Case Scenarios for Vibrometry -- 11.3 Measurement Principle of a Vibrometer -- 11.4 Choosing a Vibrometer Configuration -- 11.5 Optimizing Setup and Test Parameters -- 11.6 Application Example 1: Modal Test on a Turbine Wheel [1] -- 11.7 Application Example 2: Traveling Ultrasonic Wave Analysis -- 11.8 Application Example 3: Dynamic Stress and Strain Characterization [2, 3] -- 11.9 Conclusion -- References -- 12 Effect of Different Test Setup Configurations on the Identification of Modal Parameters from Digital Image Correlation -- 12.1 Introduction -- 12.2 Aliased Acquisition with Low-Speed Camera -- 12.3 Experimental Setup -- 12.3.1 Test Item -- 12.3.2 FRF Testing -- 12.3.3 Camera Setup/Measurement Chain -- 12.4 Results -- 12.4.1 Type of Excitation -- 12.4.2 Number of Averages -- 12.4.3 Extended Frequency Range -- 12.4.4 Effect of Speckling the Surface -- 12.5 Conclusion -- References -- 13 WaveImage - Order ODS for Rotating Machineries -- 13.1 Introduction -- 13.2 Background -- 13.2.1 Order Analysis -- 13.2.2 Operating Deflection Shapes -- 13.2.3 Optical Flow Analysis -- 13.2.4 Measurement Setup -- 13.3 Analysis -- 13.4 Conclusion -- References -- 14 Multi-Level Damage Detection Using Octree Partitioning Algorithm -- 14.1 Introduction -- 14.2 The Proposed Algorithm -- 14.3 Conclusion -- References -- 15 Photogrammetry-Based Experimental Modal Analysis for Plate Structures -- 15.1 Introduction -- 15.2 Methodology -- 15.2.1 Kinematic Relation -- 15.2.2 Point-Tracking Technique -- 15.2.3 Photogrammetry-Based EMA -- 15.3 Experimental Investigation -- 15.3.1 Experimental Setup -- 15.3.2 Data Processing -- 15.3.3 EMA Method Results -- 15.4 Conclusion.; References -- 16 An Optical Mode Shape-Based Damage Detection Using Convolutional Neural Networks -- 16.1 Introduction -- 16.2 Phase-Based Motion Magnification -- 16.3 Convolutional Neural Networks -- 16.4 Methodology -- 16.5 Conclusion -- References -- 17 Full-Field 3D Experimental Modal Analysis from Dynamic Point Clouds Measured Using a Time-of-Flight Imager -- 17.1 Introduction -- 17.2 Background -- 17.3 Analysis -- 17.4 Conclusions -- References -- 18 Application of a U-Net Convolutional Neural Network to Ultrasonic Wavefield Measurements for Defect Characterization -- 18.1 Introduction -- 18.2 Background -- 18.2.1 Convolutional Neural Networks -- 18.2.2 Image Segmentation -- 18.3 Methodology -- 18.3.1 Project Overview -- 18.3.2 Dataset Generation -- 18.3.3 Image Processing -- 18.3.4 Data Augmentation -- 18.3.5 CNN Training -- 18.4 Results and Discussion -- 18.5 Conclusion -- References -- 19 Application of the RASTAR Method to Continuous Scanning LDV Measurements -- 19.1 Introduction -- 19.2 Test Structure, Setup, and Experimental Method -- 19.3 Results and Analysis -- 19.4 Conclusions -- References.
• Sommario/riassunto: Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6: Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics, 2021, the sixth volume of nine from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Structural Health Monitoring, including papers on: Novel Techniques Optical Methods, ; Scanning LDV Methods Photogrammetry & DIC Rotating Machinery.