LEADER 02453nam 2200541 450 001 9910555108103321 005 20230126221332.0 010 $a1-119-42272-8 010 $a1-119-42273-6 010 $a1-119-42271-X 035 $a(CKB)4100000009184939 035 $a(MiAaPQ)EBC5892451 035 $a(OCoLC-P)1123181408 035 $a(CaSebORM)9781119422709 035 $a(OCoLC)1123181408 035 $a(EXLCZ)994100000009184939 100 $a20191007d2020 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStructural equation modeling $eapplications using Mplus /$fJichuan Wang, Xiaoqian Wang 205 $aSecond edition. 210 1$aHoboken, New Jersey ;$aChichester, West Sussex, England :$cWiley,$d[2020] 210 4$d©2020 215 $a1 online resource (537 pages) 225 0 $aWiley series in probability and statistics 311 $a1-119-42270-1 320 $aIncludes bibliographical references and index. 327 $aConfirmatory factor analysis -- Structural equation model -- Latent growth models (LGM) for longitudinal data analysis -- Multi-group modeling -- Mixture modeling -- Sample size for structural equation modeling. 330 $aDiscusses and demonstrates various SEM models using both cross-sectional and longitudinal data with both continuous and categorical outcomes. Explores different methods for sample size estimate and statistical power analysis for SEM. By following the examples provided in this second edition, readers will be able to build their own SEM models using Mplus. Teachers, graduate students, and researchers in social sciences and health studies will also benefit from this book"--$cProvided by publisher 606 $aStructural equation modeling$xData processing 606 $aMultivariate analysis$xData processing 606 $aSocial sciences$xStatistical methods$xData processing 615 0$aStructural equation modeling$xData processing. 615 0$aMultivariate analysis$xData processing. 615 0$aSocial sciences$xStatistical methods$xData processing. 676 $a300.285 700 $aWang$b Jichuan$0960180 702 $aWang$b Xiaoqian 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910555108103321 996 $aStructural equation modeling$92818973 997 $aUNINA LEADER 06299nam 22007335 450 001 9910806193503321 005 20240312122318.0 010 $a3-031-53311-9 024 7 $a10.1007/978-3-031-53311-2 035 $a(MiAaPQ)EBC31092525 035 $a(Au-PeEL)EBL31092525 035 $a(DE-He213)978-3-031-53311-2 035 $a(MiAaPQ)EBC31094014 035 $a(Au-PeEL)EBL31094014 035 $a(CKB)30115807800041 035 $a(EXLCZ)9930115807800041 100 $a20240127d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMultiMedia Modeling $e30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29 ? February 2, 2024, Proceedings, Part III /$fedited by Stevan Rudinac, Alan Hanjalic, Cynthia Liem, Marcel Worring, Björn Þór Jónsson, Bei Liu, Yoko Yamakata 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (552 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v14556 311 08$aPrint version: Rudinac, Stevan MultiMedia Modeling Cham : Springer International Publishing AG,c2024 9783031533105 327 $aGlobal-to-Local Feature Mining Network for RGB-Infrared Person Re-Identification -- Semantic Transition Detection for Self-Supervised Vide Scene Segmentation -- Multi-Task Collaborative Network for Image-text Retrieval -- FGENet:Fine-Grained Extraction Network for Congested Crowd Counting -- MSMV-UNet : A 2.5D Stroke Lesion Segmentation Method based on Multi-slice Feature Fusion -- Non-Local Spatial-Wise and Global Channel-Wise Transformer for Efficient Image Super-Resolution -- MobileViT-FocR: MobileViT with Fixed-One-Centre Loss and Gradient Reversal for Generalised Fake Face Detection -- ASF-Conformer: Audio Scoring Conformer with FFC for Speaker Verification in Noisy Environments -- Prior-Knowledge-Free Video Frame Interpolation with Bidirectional Regularized Implicit Neural Representations -- Two-Stage Reasoning Network with Modality Decomposition for Text VQA -- Localization and Local Motion Magnification of Pulsatile Regions in Endoscopic Surgery Videos -- Co-speech Gesture Generation with Variational Auto Encoder -- Differentiable Neural Architecture Search Based on Efficient Architecture for Lightweight Image Super-Resolution -- Learning Collaborative Reinforcement Attention for 3D Face Reconstruction and Dense Alignment -- Exploring Multi-Modal Fusion for Image Manipulation Detection and Localization -- Object-based Spatio-Temporal Heterogeneous Network for VideoQA -- Adaptive Token Selection and Fusion Network for Multimodal Sentiment Analysis -- Exploring Imperceptible Adversarial Examples in YCbCr Color Space -- Fractional-order image moments and applications -- Time-Quality Tradeoff of MuseHash Query Processing Performance -- Dual-Fisheye Image Stitching via Unsupervised Deep Learning -- CA-GAN: Conditional Adaptive Generative Adversarial Network for Text-to-Image Synthesis -- RDC-YOLOv5:Improved Safety Helmet Detection in Adverse Weather -- Sustainable Commercial Fishery Control using Multimedia Forensics Data from Non-trusted, Mobile Edge Nodes -- MC-TCMNER: A Multi-Modal Fusion Model Combining Contrast Learning Method for Traditional Chinese Medicine NER -- C3-PO: A Convolutional Neural Network for COVID Onset Prediction from Cough Sounds -- Pseudo-label based Unsupervised Momentum Representation Learning for Multi-domain Image Retrieval -- DFGait: Decomposition Fusion Representation Learning for Multimodal Gait Recognition -- MoPE: Mixture of Pooling Experts Framework for Image-Text Retrieval -- Multi-Modal Video Topic Segmentation with Dual-Contrastive Domain Adaptation -- Unsupervised Multi-Collaborative Learning Network for 3D Face Reconstruction -- A Region Based Non-overlapping Reference Speech Estimation Method for Speaker Extraction -- Self-Supervised Edge Structure Learning forMulti-View Stereo and Parallel Optimization -- Prototype-Enhanced Hypergraph Learning for Heterogeneous Information Networks -- A Language-based solution to enable Metaverse Retrieval -- Part-aware Prompt Tuning For Weakly Supervised Referring Expression Grounding -- Adversarially Robust Deepfake Detection via Adversarial Feature Similarity Learning -- A Multidimensional Taxonomy Model for Music Tangible User Interfaces. 330 $aThis book constitutes the refereed proceedings of the 30th International Conference on MultiMedia Modeling, MMM 2024, held in Amsterdam, The Netherlands, during January 29?February 2, 2024. The 112 full papers included in this volume were carefully reviewed and selected from 297 submissions. The MMM conference were organized in topics related to multimedia modelling, particularly: audio, image, video processing, coding and compression; multimodal analysis for retrieval applications, and multimedia fusion methods. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v14556 606 $aComputer vision 606 $aImage processing 606 $aPattern recognition systems 606 $aApplication software 606 $aInformation storage and retrieval systems 606 $aMachine learning 606 $aComputer Vision 606 $aImage Processing 606 $aAutomated Pattern Recognition 606 $aComputer and Information Systems Applications 606 $aInformation Storage and Retrieval 606 $aMachine Learning 615 0$aComputer vision. 615 0$aImage processing. 615 0$aPattern recognition systems. 615 0$aApplication software. 615 0$aInformation storage and retrieval systems. 615 0$aMachine learning. 615 14$aComputer Vision. 615 24$aImage Processing. 615 24$aAutomated Pattern Recognition. 615 24$aComputer and Information Systems Applications. 615 24$aInformation Storage and Retrieval. 615 24$aMachine Learning. 676 $a929.605 702 $aRudinac$b Stevan 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910806193503321 996 $aMultiMedia Modeling$92050609 997 $aUNINA