Easy Statistics for Food Science with R presents the application of statistical techniques to assist students and researchers who work in food science and food engineering in choosing the appropriate statistical technique. The book focuses on the use of univariate and multivariate statistical methods in the field of food science. The techniques are presented in a simplified form without relying on complex mathematical proofs. This book was written to help researchers from different fields to analyze their data and make valid decisions. The development of modern statistical packages makes the analysis of data easier than before. The book focuses on the application of statistics and correct methods for the analysis and interpretation of data. R statistical software is used throughout the book to analyze the data. - Contains numerous step-by-step tutorials help the reader to learn quickly - Covers the theory and application of the statistical techniques - Shows how to analyze data using R software - Provides R scripts for all examples and figures

Applied Statistics for Environmental Science with R presents the theory and application of statistical techniques in environmental science and aids researchers in choosing the appropriate statistical technique for analyzing their data. Focusing on the use of univariate and multivariate statistical methods, this book acts as a step-by-step resource to facilitate understanding in the use of R statistical software for interpreting data in the field of environmental science. Researchers utilizing statistical analysis in environmental science and engineering will find this book to be essential in solving their day-to-day research problems. - Includes step-by-step tutorials to aid in understanding the process and implementation of unique data - Presents statistical theory in a simple way without complex mathematical proofs - Shows how to analyze data using R software and provides R scripts for all examples and figures

Applications of Hypothesis Testing for Environmental Science presents the theory and application of hypothesis testing in environmental science, allowing researchers to carry out suitable tests for decision-making on a variety of issues. This book works as a step-by-step resource to provide understanding of the concepts and applications of hypothesis testing in the field of environmental science. The tests are presented in simplified form without relying on complex mathematical proofs to allow researchers to easily locate the most appropriate test and apply it to real-world situations. Each example is accompanied by a case study showing the application of the method to realistic data. This book provides step-by-step guidance in analyzing and testing various environmental data for researchers, postgraduates and graduates of environmental sciences, as well as academics looking for a book that includes case studies of the applications of hypothesis testing. It will also be a valuable resource for researchers in other related fields and those who are not familiar with the use of statistics who may need to analyze data or perform hypothesis tests in their research. - Includes step-by-step tutorials to aid in the understanding of procedures and allowing implementation of suitable tests - Presents the theory of hypothesis testing in a simple yet thorough manner without complex mathematical proofs - Describes how to implement hypothesis testing in analyzing and interpretation environmental science data

Conference Proceedings of 4th International Conference on Tourism Research

This book acquaints readers with a range of techniques to help them effectively identify, record, map, analyze and report on patterns in various dimensions of human development (HD) with spatial scales down to the village level. It is impossible to capture HD at the local and global scale with only a single index, because differences in HD at the international scale are caused by ‘general’ factors, whereas local-scale differences are influenced by ‘specific’ factors. This book offers a variety of methods for scientifically mapping HD at any spatial scale. It covers how to rationally select variables; how to test the models; how to validate the results, and how to analyze them. For this purpose, it employs a case study on an Indian district. The socio-economic factors regulating the patterns of HD are now more complex than they were only a few decades ago, making it essential to incorporate newer models in order to successfully ‘replicate’ the real-world situation. Accordingly, the book offers essential methodological tools & techniques for mapping HD. It sheds new light on a handful of statistical multivariate analysis and machine learning algorithms that are rarely used in the social sciences when dealing with HD, yet have sound mathematical and statistical bases. These techniques can be successfully used for predictive analysis in the earth & natural sciences, decision sciences and management disciplines, and are equally effective in terms of capturing, predicting and projecting the composite HD ‘landscape.’ This book will especially benefit two groups of readers: firstly, HD practitioners who want to find out ‘why some areas are doing better than others’ by exploring the complex interactions of spatially linked variables with different HD parameters. And secondly, practitioners in other branches of the social sciences who are not concerned with HD but are looking for ‘hands-on training’ with techniques they can apply in their respective field of spatial investigations.

This proceedings volume convenes selected, peer-reviewed contributions presented at the POMS 2021 – International Conference on Production and Operations Management, which was virtually held in Lima, Peru, December 2-4, 2021. This book presents results in the field of Operations Management of key relevance to practitioners, instructors, and students. Topics focus on Operations Management, Logistics and Supply Chain Management, and Industrial and Production Engineering and Management, where mathematics and its applications play a role. In this work, readers will find a colorful collection of real-world case studies, accompanied by operations research-based managerial models. They touch on myriad topics, ranging from Artificial Intelligence and Data Analytics in Operations, Defense, Tourism, and other emerging issues in Operations Management to Healthcare Operations Management and Humanitarian Operations and Crisis Management. The POMS Lima 2021 International Conference has been organized by the Latin America & Caribbean Chapter of the Production and Operations Management Society, the most renowned professional and academic organization representing the interests of production and operations management professionals and academicians around the world. Since 2018, POMS International Conferences have been organized by POMS-LA, the first venue being in Rio de Janeiro, Brazil. Venue 2021 event was hosted by the Pontifical Catholic University of Peru and Pacific University, two Peruvian Latin-American leading academic institutions from Peru.

Mathematical and Statistical Approaches in Food Science and Technology offers an accessible guide to applying statistical and mathematical technologies in the food science field whilst also addressing the theoretical foundations. Using clear examples and case-studies by way of practical illustration, the book is more than just a theoretical guide for non-statisticians, and may therefore be used by scientists, students and food industry professionals at different levels and with varying degrees of statistical skill.

The recording and analysis of food data are becoming increasingly sophisticated. Consequently, the food scientist in industry or at study faces the task of using and understanding statistical methods. Statistics is often viewed as a difficult subject and is often avoided because of its complexity and a lack of specific application to the requirements of food science. This situation is changing – there is now much material on multivariate applications for the more advanced reader, but a case exists for a univariate approach aimed at the non-statistician. This book provides a source text on accessible statistical procedures for the food scientist, and is aimed at professionals and students in food laboratories where analytical, instrumental and sensory data are gathered and require some form of summary and analysis before interpretation. It is suitable for the food analyst, the sensory scientist and the product developer, and others who work in food-related disciplines involving consumer survey investigations will also find many sections of use. There is an emphasis on a ‘hands on’ approach, and worked examples using computer software packages and the minimum of mathematical formulae are included. The book is based on the experience and practice of a scientist engaged for many years in research and teaching of analytical and sensory food science at undergraduate and post-graduate level.

Mixed methods research is becoming prevalent in many fields, yet little has been done to elevate mixed methods research in information science. A comprehensive picture of information science and its problems is needed to further understand and address the issues associated with it as well as how mixed methods research can be adapted and used. The Handbook of Research on Mixed Methods Research in Information Science discusses the quality of mixed methods studies and methodological transparency, sampling in mixed methods research, and the application of theory in mixed methods research throughout various contexts. Covering topics such as the issues and potential directions for further research in mixed methods, this comprehensive major reference work is ideal for researchers, policymakers, academicians, librarians, practitioners, instructors, and students.

Food Science and Technology, Second Edition is a comprehensive text and reference book designed to cover all the essential elements of food science and technology, including all core aspects of major food science and technology degree programs being taught worldwide. The book is supported by the International Union of Food Science and Technology and comprises 21 chapters, carefully written in a user-friendly style by 30 eminent industry experts, teachers, and researchers from across the world. All authors are recognized experts in their respective fields, and together represent some of the world’s leading universities and international food science and technology organizations. All chapters in this second edition have been fully revised and updated to include all-new examples and pedagogical features (including discussion questions, seminar tasks, web links, and glossary terms). The book is designed with more color to help enhance the content on each page and includes more photos and illustrations to bring the topics to life. Coverage of all the core modules of food science and technology degree programs internationally Crucial information for professionals in the food industry worldwide Chapters written by subject experts, all of whom are internationally respected in their fields A must-have textbook for libraries in universities, food science and technology research institutes, and food companies globally Additional interactive resources on the book's companion website, including multiple choice questions, web links, further reading, and exercises Food Science and Technology, 2nd Edition is an indispensable guide for food science and technology degree programs at the undergraduate and postgraduate level and for university libraries and food research facilities.