Tag: Modeling

January 31, 2024

11th Chaotic Modeling and Simulation International Conference (2024)

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Free Download 11th Chaotic Modeling and Simulation International Conference by Christos H. Skiadas, Ihor Lubashevsky
English | PDF (True) | 2019 | 314 Pages | ISBN : 3030152960 | 14 MB
Gathering the proceedings of the 11th CHAOS2018 International Conference, this book highlights recent developments in nonlinear, dynamical and complex systems. The conference was intended to provide an essential forum for Scientists and Engineers to exchange ideas, methods, and techniques in the field of Nonlinear Dynamics, Chaos, Fractals and their applications in General Science and the Engineering Sciences.

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January 30, 2024

Structural Equation Modeling

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Free Download Natasha K. Bowen, "Structural Equation Modeling "
English | ISBN: 0195367626 | 2011 | 240 pages | PDF | 1491 KB
Structural Equation Modeling (SEM) has long been used in social work research, but the writing on the topic is typically fragmented and highly technical. This pocket guide fills a major gap in the literature by providing social work researchers and doctoral students with an accessible synthesis. The authors demonstrate two SEM programs with distinct user interfaces and capabilities (Amos and Mplus) with enough specificity that readers can conduct their own analyses without consulting additional resources. Examples from social work literature highlight best practices for the specification, estimation, interpretation, and modification of structural equation models. Unlike most sources on SEM, this book provides clear guidelines on how to evaluate SEM output and how to proceed when model fit is not acceptable.

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January 30, 2024

Modeling Correlated Outcomes Using Extensions of Generalized Estimating Equations and Linear Mixed Modeling

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Free Download Modeling Correlated Outcomes Using Extensions of Generalized Estimating Equations and Linear Mixed Modeling
English | 2024 | ISBN: 3031419871 | 525 Pages | PDF EPUB (True) | 23 MB
This book formulates methods for modeling continuous and categorical correlated outcomes that extend the commonly used methods: generalized estimating equations (GEE) and linear mixed modeling. Partially modified GEE adds estimating equations for variance/dispersion parameters to the standard GEE estimating equations for the mean parameters. Fully modified GEE provides alternate estimating equations for mean parameters as well as estimating equations for variance/dispersion parameters. The new estimating equations in these two cases are generated by maximizing a "likelihood" function related to the multivariate normal density function. Partially modified GEE and fully modified GEE use the standard GEE approach to estimate correlation parameters based on the residuals. Extended linear mixed modeling (ELMM) uses the likelihood function to estimate not only mean and variance/dispersion parameters, but also correlation parameters. Formulations are provided for gradient vectors and Hessian matrices, for a multi-step algorithm for solving estimating equations, and model-based and robust empirical tests for assessing theory-based models.

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January 30, 2024

Dynamic Modeling for Business Management An Introduction

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Free Download Dynamic Modeling for Business Management: An Introduction by Bernard McGarvey, Bruce Hannon
English | PDF | 2004 | 320 Pages | ISBN : 0387404619 | 10.5 MB
Modelling is a tool used by savvy business managers to understand the processes of their business and to estimate the impact of changes. Dynamic Modelling for Business Management applies dynamic modelling to business management, using accessible modelling techniques that are demonstrated starting with fundamental processes and advancing to more complex business models. Discussions of modelling emphasize its practical use for decision making and implementing change for measurable results. Readers will learn about both manufacturing and service-oriented business processes using hands-on lessons. Then will then be able to manipulate additional models to try out their knowledge and address issues specific to their own businesses and interests. Some of the topics covered include workflow management, supply-chain-management, and strategy.

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January 29, 2024

Robotic Planet – Hard-Surface Modeling in Blender Made Fun and Easy

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Free Download Robotic Planet – Hard-Surface Modeling in Blender Made Fun and Easy
Louis du Mont | Duration: 10:52 h | Video: H264 1920×1080 | Audio: AAC 48 kHz 2ch | 5,86 GB | Language: English
Struggling with the complexities of creating hard-surface models in Blender? That is why we created our comprehensive Robotic Planet course for Blender, designed to equip you with time saving and essential skills for everything hard-surface, all using free tools.
This course is not only informative, but also fun to follow, by focusing on the best workflows for individual artists.
You will learn to create two robots from scratch, by going through robot ideation, modeling, material creation, rigging, animation, rendering and much more.

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