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Problem Solving and Data Analysis Using Minitab
Six Sigma statistical methodology using Minitab Problem Solving and Data Analysis using Minitab presents example-based learning to aid readers in understanding how to use MINITAB 16 for statistical analysis and problem solving. Each example and exercise is broken down into the exact steps that must be followed in order to take the reader through key learning points and work through complex analyses. Exercises are featured at the end of each example so that the reader can be assured that they have understood the key learning points. Key features: Provides readers with a step by step guide to problem solving and statistical analysis using Minitab 16 which is also compatible with version 15. In...
Six Sigma Statistics Using Minitab 19
How do you like to learn? Is it by reading textbooks? Or do you want to learn by doing and seeing the results for yourself? If so, this book is for you as it is written as a teaching guide. The book aims to teach using example-based learning so you can learn data analysis and problem-solving at the Green Belt level. The author recognised that Six Sigma Green and Black belts needed more support to understand the complex statistical techniques used within Six Sigma, but this had to be delivered effectively. In this book, the author uses his experience of industrial process improvement and Minitab training to provide Six Sigma Green Belts with the learning support they need to drive Minitab 19....
Handbook of Nanomaterials, Volume 1
Handbook of Nanomaterials: Electronics, Information Technology, Energy, Transportation, and Consumer Products offers a comprehensive resource that introduces the role of nanotechnology and nanomaterials in a broad range of areas, covering fundamentals, methods, and applications.In this volume, the initial chapters introduce the core concepts of nanotechnology, and synthesis methods and characterization techniques for nanomaterials. This is followed by dedicated sections focusing on key application areas across electronics, information technology, energy, transportation, and consumer products. In each chapter, detailed but concise information is provided on a specific application, covering me...
Advanced Materials - XVI
Selected peer-reviewed full text research papers from the 16th International Symposium on Advanced Materials (16th ISAM) Selected, peer-reviewed papers from the 16th International Symposium on Advanced Materials (ISAM), October 21-25, 2019, Islamabad, Pakistan
Climate Change and Ecosystems
The global population is projected to increase by 3.3 billion from 6.7 billion in 2008 to 10 billion in 2100. As a result, soil degradation and desertification are growing due to the increasing demand for food, feed, fiber, and fuel on finite soil resources. The problem of global food insecurity may be further worsened by the threat of global warming. Climate change is showing its impacts in terms of increasing temperatures, variable rainfall, and an increase in climate-related extremes such as floods, droughts, cyclones, sea-level rise, salinity, and soil erosion. The agriculture sector is the most sensitive to climate change because the climate of a region/country determines the nature and...
Biologically Inspired Techniques in Many Criteria Decision Making
This book includes best-selected, high-quality research papers presented at Second International Conference on Biologically Inspired Techniques in Many Criteria Decision Making (BITMDM 2021) organized by Department of Information & Communication Technology, Fakir Mohan University, Balasore, Odisha, India, during December 20-21, 2021. This proceeding presents the recent advances in techniques which are biologically inspired and their usage in the field of many criteria decision making. The topics covered are biologically inspired algorithms, nature-inspired algorithms, multi-criteria optimization, multi-criteria decision making, data mining, big-data analysis, cloud computing, IOT, machine learning and soft computing, smart technologies, crypt-analysis, cognitive informatics, computational intelligence, artificial intelligence and machine learning, data management exploration and mining, computational intelligence, and signal and image processing.
Rising Stars in Comparative and Clinical Medicine: 2022
Recognising the future leaders of Comparative and Clinical Medicine is fundamental to safeguarding tomorrow's driving force in innovation. This collection will showcase the high-quality work of internationally recognized researchers in the early stages of their careers. We aim to highlight research by leading scientists of the future across the entire breadth of Comparative and Clinical Medicine and present advances in theory, experiment, and methodology with applications to compelling problems.
