Mathematical Modeling: Process and Presentation offers a comprehensive introduction to the art of mathematical modeling, engaging students through thought-provoking questions and interactive content. Each chapter presents a different canonical modeling type, guiding readers through the essential components of the modeling process, from problem posing and assumptions to reflection and purpose definition. With relatable examples, such as estimating efforts in balloon filling or developing me...

This book is a product of the initial phase of a broader study evaluating the voluntary and regulatory compliance protocols that are used to account for the contributions of forests in U.S.-based greenhouse gas (GHG) mitigation programs. The research presented here is particularly concerned with these protocols’ use of the USDA Forest Service’s Forest Inventory and Analysis (FIA) data to describe forest conditions, ownership, and management scenarios, and is oriented towards providing regu...

A fresh look at visualization from the author of Visualize ThisWhether it's statistical charts, geographic maps, or the snappy graphical statistics you see on your favorite news sites, the art of data graphics or visualization is fast becoming a movement of its own. In Data Points: Visualization That Means Something, author Nathan Yau presents an intriguing complement to his bestseller Visualize This, this time focusing on the graphics si...

Here is a chapter from Six Sigma Statistics with Excel and MINITAB . This is a comprehensive and easy-to-use guide for understanding and using Excel and MINITAB programs for Six Sigma statistical data analysis. Each chapter includes relevant theory and technique, step-by-step exercises, case studies, graphical illustrations and screen shots for performing the techniques in both Excel and MINITAB.

Effectively Execute Lean Six Sigma Projects using SigmaXL and MinitabWritten by a Six Sigma Master Black Belt and a Ph.D., this practical guide to Lean Six Sigma project execution follows the DMAIC (Define, Measure, Analyze, Improve, and Control) roadmap. The many real-world examples used in the book offer in-depth theoretical analyses and are implemented using the two most popular statistical software suites--SigmaXL and Minitab. This expert resource covers Lean t...

You can find many different books on Lean Manufacturing or Six Sigma. This book is different because it addresses the relation between Lean and other improvement methods that have been proven to be successful over the past decades, such as TQM, Kaizen, TPM and Six Sigma. These methods, tools and techniques have been united in the ‘Continuous Improvement Maturity Model’ (CIMMTM). CIMM is an open standard and is maintained by the ‘Lean Six Sigma Academy’ (LSSA). The framework describes the p...

A unique introduction to the design, analysis, and presentation of scientific projects, this is an essential textbook for undergraduate majors in science and mathematics. The textbook gives an overview of the main methods used in scientific research, including hypothesis testing, the measurement of functional relationships, and observational research. It describes important features of experimental design, such as the control of errors, instrument calibration, data analysis, laboratory saf...

In recent years, the terms Visualization, Infographic and others have been bantered around with almost no regard to their use or meaning. There is a new vernacular emerging in the realms of data representations, but that doesn’t mean we can ignore the much simpler origins and best practices of charts and graphs. Brian Suda takes you on a journey through the basics and makes it easy to produce beautiful looking, accurate representations of data. He’ll walk you through how to visualize and d...

This book aims at simplifying GAN for everyone. This book is very important for machine learning engineers, researchers, students, professors, and professionals. Universities and online course instructors will find this book very interesting for teaching advanced deep learning, specially Generative Adversarial Networks(GAN). Industry professionals, coders, and data scientists can learn GAN from scratch. They can learn how to build GAN codes for industrial applications for Healthcare, Retai...

A bird's eye view of anything is usually the first step to enter a new field of interest. The vast field of Data Visualisation might seem overwhelming at first, but a bird's eye view with this book might just be enough to nudge you over that cliff. We will try to go through every little detail about Data Visualisation, from its etymology all the way to its future enhancements. A detailed analysis of various Data Visualisation and representation techniques will be done in this book along wi...

Prepare for the GED exam with our comprehensive GED Study Guide. This essential resource covers all test subjects, providing you with the tools and knowledge you need to succeed.Inside the guide, you'll find in-depth coverage of the key areas: Mathematical Reasoning, Reasoning through Language Arts, Science, and Social Studies. Each chapter is designed to ensure you understand the essential concepts and skills required for the GED exam. The guide includes 240 practice questions, com...

This open access Brief introduces the basic principles of control theory in a concise self-study guide. It complements the classic texts by emphasizing the simple conceptual unity of the subject. A novice can quickly see how and why the different parts fit together. The concepts build slowly and naturally one after another, until the reader soon has a view of the whole. Each concept is illustrated by detailed examples and graphics. The full software code for each example is available, prov...