Copula additive distributional regression enables the joint modeling of multiple outcomes, an essential aspect of many real-world research problems. This book provides an accessible overview of this modeling approach, with a particular focus on its...Loe edasi...
The text presents various design and modelling solutions for effective decision-making that are grounded on the basics of data analytics. It also discusses topics such as sustainable design and data-driven design synthesis, product analytics and its...Loe edasi...
This book presents the essential role of Mathematical Modeling and Computational Methods in representing physical phenomena mathematically, focusing on the significance of the I-function....Loe edasi...
Accessible to advanced undergraduate students, this text demonstrates how to use the basic tenets of multivariate calculus to derive the governing equations of fluid dynamics in a rotating frame. It also explains how to use linear algebra and PDEs t...Loe edasi...
In medical and social science research, MGLMMs help disentangle state dependence from incidental parameters. Focusing on these sophisticated data analysis techniques, this work presents robust and methodologically sound models for analyzing large an...Loe edasi...
This book provides sample exercises, techniques, and solutions to employ mathematical modeling to solve problems in Operations Research and Business Analytics. als....Loe edasi...
Sari: River Publishers Series in Mathematical, Statistical and Computational Modelling for Engineering
(Ilmumisaeg: 23-Aug-2024, Kirjastus: River Publishers, ISBN-13: 9781003515883)
This book looks at the likelihood and level of use of implemented technological components with regard to the adoption of different precision agricultural technologies....Loe edasi...
What sets this book apart is the modeling aspects utilizing numerical analysis (methods) to obtain solutions. The authors cover the basic numerical analysis methods first with simple examples to illustrate the techniques and discuss possible errors....Loe edasi...
Data Analytics in Football provides students, researchers and coaches with a firm grounding in the principles of modern performance analysis. It offers an insight into the use of positional data, exploring how it can be collected, modelled, analysed...Loe edasi...
This book describes the application of machine learning modelling approaches in atomic layer deposition and presents detailed information on modelling, optimization, and prediction of the behaviour and characteristics of ALD for improved process qua...Loe edasi...
Nearly all our safety data collection and reporting systems are backward-looking: incident reports; dashboards; compliance monitoring systems, and so on. This book shows how we can use safety data in a forward-looking, predictive sense. It contains...Loe edasi...
Presents the topic of assessing and quantifying the climate change and its impacts from a multi-faceted perspective of ecosystem, human health, and social and infrastructure resilience, given through a lens of statistical and data sciences....Loe edasi...
ICT, IoT. AI, AVs, and robots, can be used with data to model, plan and evaluate an efficient and sustainable urban freight transport system, using tools such as the Physical Internet and dynamic road pricing. With global case studies this forms a g...Loe edasi...
This book motivates and challenges the reader to explore and apply Alternative Data in finance. It provides a robust and in-depth overview of Alternative Data, including its definition, characteristics, difference from conventional data, categories...Loe edasi...
This book is an approachable guide for students and professionals to learn parametric modeling through the lens of architectonics, allowing readers to pair fundamental ideas about architecture with parametric thinking....Loe edasi...
(Ilmumisaeg: 31-May-2023, Kirjastus: River Publishers, ISBN-13: 9781003393238)
Mathematical modelling and simulation are viewed as viable alternatives to performing experiments in medicine and biology, and are discussed in this book. The book also explores the probabilistic computational deep learning model for cancer classifi...Loe edasi...
This book presents post-estimation and predictions strategies for the host of useful statistical models with applications in data science. Combining statistical learning and machine learning techniques in a unique and optimal way, it will help profe...Loe edasi...
The book describes methods and techniques of spatial data and its use in monitoring agricultural resources, farms management and regional markets. Spatial econometrics models for different data types relevant to statistical units adopted in typical...Loe edasi...
