Download or read book Mathematical and Statistical Applications in Food Engineering written by Surajbhan Sevda and published by CRC Press. This book was released on 2020-01-30 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by experts from all over the world, the book comprises the latest applications of mathematical and models in food engineering and fermentation. It provides the fundamentals on statistical methods to solve standard problems associated with food engineering and fermentation technology. Combining theory with a practical, hands-on approach, this book covers key aspects of food engineering. Presenting cuttingedge information, the book is an essential reference on the fundamental concepts associated with food engineering.

Download or read book Mathematical and Statistical Methods in Food Science and Technology written by Daniel Granato and published by John Wiley & Sons. This book was released on 2014-03-03 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Mathematical and Statistical Applications in Food Engineering written by Surajbhan Sevda and published by CRC Press. This book was released on 2020-01-30 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by experts from all over the world, the book comprises the latest applications of mathematical and models in food engineering and fermentation. It provides the fundamentals on statistical methods to solve standard problems associated with food engineering and fermentation technology. Combining theory with a practical, hands-on approach, this book covers key aspects of food engineering. Presenting cuttingedge information, the book is an essential reference on the fundamental concepts associated with food engineering.

Download or read book Statistics in Food Science and Nutrition written by Are Hugo Pripp and published by Springer Science & Business Media. This book was released on 2012-09-10 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many statistical innovations are linked to applications in food science. For example, the student t-test (a statistical method) was developed to monitor the quality of stout at the Guinness Brewery and multivariate statistical methods are applied widely in the spectroscopic analysis of foods. Nevertheless, statistical methods are most often associated with engineering, mathematics, and the medical sciences, and are rarely thought to be driven by food science. Consequently, there is a dearth of statistical methods aimed specifically at food science, forcing researchers to utilize methods intended for other disciplines. The objective of this Brief will be to highlight the most needed and relevant statistical methods in food science and thus eliminate the need to learn about these methods from other fields. All methods and their applications will be illustrated with examples from research literature. ​

Download or read book Food Product Design written by Ruguo Hu and published by Routledge. This book was released on 2017-10-19 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical experimental design is currently used as a quality control technique to achieve product excellence at the lowest overall cost. It can also function as a powerful tool to optimize food products and/or processes, to accelerate food development cycles, reduce research costs, facilitate the transition of products from research and development to manufacturing and troubleshoot manufacturing problems. Food Product Design: A Computer-Aided Statistical Approach familiarizes readers with the methodology of statistical experimental design, and its application in food product design, with the aid of commonly available modern commercial software. Food Product Design presents basic concepts of food product design, then focuses on the most effective statistical techniques and corresponding computer applications for trial design, modeling, and experimental data analysis. The book presents very few theories about mathematics and statistics. Instead, it contains detailed descriptions of how to use popular computer software to solve the real mathematical and statistical problems that occur in product design. Even those with very limited knowledge of statistics and mathematics will find this a useful and highly practical book. Food Product Design: A Computer-Aided Statistical Approach will be a valuable tool for professional food engineers, technologists, scientists, and industrial personnel who want to update and expand their knowledge about computer-aided statistical methods in the field of food product design. Those involved in applied research at universities in food and agriculture, biological and chemical engineering, and statistics will also find it useful and informative.

Download or read book Statistical Methods for Food Science written by John A. Bower and published by John Wiley & Sons. This book was released on 2013-06-21 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 second edition of Statistical Methods for Food Science 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. This revised and updated second edition is accompanied by a new companion website giving the reader access to the datasets and Excel spreadsheets featured in the book. Check it out now by visiting www.wiley.com/go/bower/statistical or by scanning the QR code below.

Download or read book Mathematical and Statistical Methods in Food Science and Technology written by Daniel Ed Granato and published by . This book was released on 2017 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Handbook of Food Process Modeling and Statistical Quality Control written by Mustafa Ozilgen and published by CRC Press. This book was released on 1998-09-16 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fundamental techniques of mathematical modeling of processes essential to the food industry are explained in this text. Instead of concentrating on detailed theoretical analysis and mathematical derivations, important mathematical prerequisites are presented in summary tables. Readers' attention is focused on understanding modeling techniques, rather than the finer mathematical points. Topics covered include modeling of transport phenomena, kinetic processes, and food engineering operations. Statistical process analysis and quality control as applied to the food industry are also discussed. The book's main feature is the large number of worked examples presented throughout. Included are examples from almost every conceivable food process, most of which are based on real data given in the many references. Each example is followed by a clear, step- by-step worked solution.

Download or read book Handbook of Food Process Modeling and Statistical Quality Control written by Mustafa Özilgen and published by Taylor & Francis US. This book was released on 2011 with total page 690 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rev. ed. of: Food process modeling and statistical quality control. 1998.

Download or read book Engineering Principles of Unit Operations in Food Processing written by Seid Mahdi Jafari and published by Woodhead Publishing. This book was released on 2021-06-22 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: Engineering Principles of Unit Operations in Food Processing, volume 1 in the Woodhead Publishing Series, In Unit Operations and Processing Equipment in the Food Industry series, presents basic principles of food engineering with an emphasis on unit operations, such as heat transfer, mass transfer and fluid mechanics. Brings new opportunities in the optimization of food processing operations Thoroughly explores applications of food engineering to food processes Focuses on unit operations from an engineering viewpoint

Download or read book A Glance at Food Processing Applications written by Isıl Var and published by BoD – Books on Demand. This book was released on 2022-07-13 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Food processing is a part of the manufacturing industry. To serve a marketable food product there are several intrinsic and extrinsic parameters to consider that determine the specific processing design of each product. Food production should ensure a safe, environmentally sustainable, and adequate supply of food. This book presents a comprehensive review of food processing applications. Chapters address such topics as the effects of rice bran, corn fiber, and sugarcane bagasse on the quality of baked foods, honey production processes, the potential usage of pectin in food packaging, and agro-industrial wastes for packaging processes, and much more.

Download or read book Computer Applications in Food Technology written by R. Paul Singh and published by Elsevier. This book was released on 1996-08-12 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Institute of Food Technologists (IFT) recently endorsed the use of computers in food science education. The minimum standards for degrees in food science, as suggested by IFT,"require the students to use computers in the solution of problems, the collection and analysis of data, the control processes, in addition to word processing."Because they are widely used in business, allow statistical and graphical of experimental data, and can mimic laboratory experimentation, spreadsheets provide an ideal tool for learning the important features of computers and programming. In addition, they are ideally suited for food science students, who usually do not have an extensive mathematical background. Drawing from the many courses he has taught at UC Davis, Dr. Singh covers the general basics of spreadsheets using examples specific to food science. He includes more than 50 solved problems drawn from key areas of food science, namely food microbiology, food chemistry, sensory evaluation, statistical quality control, and food engineering. Each problem is presented with the required equations and detailed steps necessary for programming the spreadsheet. Helpful hints in using the spreadsheets are also provided throughout the text. Key Features * The first book to integrate speadsheets in teaching food science and technology * Includes more than 50 solved examples of spreadsheet use in food science and engineering * Presents a step-by-step introduction to spreadsheet use * Provides a food composition database on a computer disk

Download or read book Math Concepts for Food Engineering written by Richard W. Hartel and published by CRC Press. This book was released on 2008-03-17 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Supplement for Food Science & Engineering Students Who Need to Improve Their Mathematical Skills A remedial textbook for understanding mathematical theories and formulas, Math Concepts for Food Engineering, Second Edition helps students improve their mathematical skills so that they can succeed in food engineering cour

Download or read book Easy Statistics for Food Science with R written by Abbas F. M. Alkarkhi and published by Academic Press. This book was released on 2018-09-18 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Nonparametric Statistics with Applications to Science and Engineering written by Paul H. Kvam and published by John Wiley & Sons. This book was released on 2007-08-24 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: A thorough and definitive book that fully addresses traditional and modern-day topics of nonparametric statistics This book presents a practical approach to nonparametric statistical analysis and provides comprehensive coverage of both established and newly developed methods. With the use of MATLAB, the authors present information on theorems and rank tests in an applied fashion, with an emphasis on modern methods in regression and curve fitting, bootstrap confidence intervals, splines, wavelets, empirical likelihood, and goodness-of-fit testing. Nonparametric Statistics with Applications to Science and Engineering begins with succinct coverage of basic results for order statistics, methods of categorical data analysis, nonparametric regression, and curve fitting methods. The authors then focus on nonparametric procedures that are becoming more relevant to engineering researchers and practitioners. The important fundamental materials needed to effectively learn and apply the discussed methods are also provided throughout the book. Complete with exercise sets, chapter reviews, and a related Web site that features downloadable MATLAB applications, this book is an essential textbook for graduate courses in engineering and the physical sciences and also serves as a valuable reference for researchers who seek a more comprehensive understanding of modern nonparametric statistical methods.

Download or read book Statistical Process Control for the Food Industry written by Sarina A. Lim and published by John Wiley & Sons. This book was released on 2019-02-25 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive treatment for implementing Statistical Process Control (SPC) in the food industry This book provides managers, engineers, and practitioners with an overview of necessary and relevant tools of Statistical Process Control, a roadmap for their implementation, the importance of engagement and teamwork, SPC leadership, success factors of the readiness and implementation, and some of the key lessons learned from a number of food companies. Illustrated with numerous examples from global real-world case studies, this book demonstrates the power of various SPC tools in a comprehensive manner. The final part of the book highlights the critical challenges encountered while implementing SPC in the food industry globally. Statistical Process Control for the Food Industry: A Guide for Practitioners and Managers explores the opportunities to deliver customized SPC training programs for local food companies. It offers insightful chapter covering everything from the philosophy and fundamentals of quality control in the food industry all the way up to case studies of SPC application in the food industry on both the quality and safety aspect, making it an excellent "cookbook" for the managers in the food industry to assess and initiating the SPC application in their respective companies. Covers concise and clear guidelines for the application of SPC tools in any food companies' environment Provides appropriate guidelines showing the organizational readiness level before the food companies adopt SPC Explicitly comments on success factors, motivations, and challenges in the food industry Addresses quality and safety issues in the food industry Presents numerous, global, real-world case studies of SPC in the food industry Statistical Process Control for the Food Industry: A Guide for Practitioners and Managers can be used to train upper middle and senior managers in improving food quality and reducing food waste using SPC as one of the core techniques. It's also an excellent book for graduate students of food engineering, food quality management and/or food technology, and process management.

Download or read book Handbook of Food Process Modeling and Statistical Quality Control Second Edition written by Mustafa Ozilgen and published by CRC Press. This book was released on 2011-03-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presenting mathematical prerequisites in summary tables, this book explains fundamental techniques of mathematical modeling processes essential to the food industry. The author focuses on providing an in-depth understanding of modeling techniques, rather than the finer mathematical points. Topics covered include modeling of transport phenomena, kinetic processes, and food engineering operations. The book also discusses statistical process analysis and quality control. It includes examples from almost every conceivable food process, most of which are based on real data given in the many references. Each example is followed by a clear, step-by-step worked solution.