Mathematical And Statistical Applications In Food Engineering
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Mathematical And Statistical Applications In Food Engineering
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Author : Surajbhan Sevda
language : en
Publisher: CRC Press
Release Date : 2020
Mathematical And Statistical Applications In Food Engineering written by Surajbhan Sevda and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Food industry and trade categories.
Several books have been written about the application of mathematical and statistical tools in food engineering, but very few books are actually focused or cover the topic in depth. These tools are essential in food engineering. Mathematical techniques have been used in process analysis, design and optimization from an empirical to a scientific and model-based approach. This book is a source of information on mathematical and statistical methods that can be applied in food engineering. The use of these techniques is also illustrated through case studies, which will make it easier for researcher in terms of development of alternative processes and their optimization in food engineering and technology. With contributions from leading academics and scientists from all over the world, this book focuses on new areas of mathematical and statistical method for food engineering to help meet the increasing food demand. The book is easy to use. It will help researchers and students to overcome their apathy in using these tools, and to appreciate the usefulness of analytical tools. The book provides valuable resources for students, researchers, teachers and professionals of food engineering. Key features: Provides detailed descriptions on engineering/ design/ modeling/ evaluation aspects of food engineering, from preparation to production to processing to consumption. Presents cutting-ege mathematical and statistical methods used for research in food engineering. Serves as an essential reference on the fundamental concepts of mathematical and statistical applications associated with food engineering. Combines theory with a practical exercise-driven approach, making it accessible to professionals with varying degrees of statistical skill
Mathematical And Statistical Applications In Food Engineering
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Author : Surajbhan Sevda
language : en
Publisher: CRC Press
Release Date : 2020-01-30
Mathematical And Statistical Applications In Food Engineering written by Surajbhan Sevda and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-30 with Mathematics categories.
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.
Easy Statistics For Food Science With R
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Author : Abbas F.M. Alkarkhi
language : en
Publisher: Academic Press
Release Date : 2018-09-18
Easy Statistics For Food Science With R written by Abbas F.M. Alkarkhi and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-18 with Technology & Engineering categories.
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
Food Product Design
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Author : Ruguo Hu
language : en
Publisher: Routledge
Release Date : 2017-10-19
Food Product Design written by Ruguo Hu and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-19 with Technology & Engineering categories.
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.
Food Process Modelling
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Author : L M M Tijskens
language : en
Publisher: Woodhead Publishing
Release Date : 2001-06-14
Food Process Modelling written by L M M Tijskens and has been published by Woodhead Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-06-14 with Business & Economics categories.
Food process modelling provides an authoritative review of one of the most exciting and influential developments in the food industry. The modelling of food processes allows analysts not only to understand such processes more clearly but also to control them more closely and make predictions about them. Modelling thus aids the search for greater and more consistent food quality. Written by a distinguished international team of experts, Food process modelling covers both the range of modelling techniques and their practical applications across the food chain.
Computer Applications In Food Technology
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Author : R. Paul Singh
language : en
Publisher:
Release Date : 1996
Computer Applications In Food Technology written by R. Paul Singh and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Technology & Engineering categories.
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.
Handbook Of Food Process Modeling And Statistical Quality Control
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Author : Mustafa Ozilgen
language : en
Publisher: CRC Press
Release Date : 2011-03-01
Handbook Of Food Process Modeling And Statistical Quality Control written by Mustafa Ozilgen and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-01 with Technology & Engineering categories.
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, kin
Probability With Applications In Engineering Science And Technology
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Author : Matthew A. Carlton
language : en
Publisher: Springer
Release Date : 2017-03-30
Probability With Applications In Engineering Science And Technology written by Matthew A. Carlton and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-30 with Mathematics categories.
This updated and revised first-course textbook in applied probability provides a contemporary and lively post-calculus introduction to the subject of probability. The exposition reflects a desirable balance between fundamental theory and many applications involving a broad range of real problem scenarios. It is intended to appeal to a wide audience, including mathematics and statistics majors, prospective engineers and scientists, and those business and social science majors interested in the quantitative aspects of their disciplines. The textbook contains enough material for a year-long course, though many instructors will use it for a single term (one semester or one quarter). As such, three course syllabi with expanded course outlines are now available for download on the book’s page on the Springer website. A one-term course would cover material in the core chapters (1-4), supplemented by selections from one or more of the remaining chapters on statistical inference (Ch. 5), Markov chains (Ch. 6), stochastic processes (Ch. 7), and signal processing (Ch. 8—available exclusively online and specifically designed for electrical and computer engineers, making the book suitable for a one-term class on random signals and noise). For a year-long course, core chapters (1-4) are accessible to those who have taken a year of univariate differential and integral calculus; matrix algebra, multivariate calculus, and engineering mathematics are needed for the latter, more advanced chapters. At the heart of the textbook’s pedagogy are 1,100 applied exercises, ranging from straightforward to reasonably challenging, roughly 700 exercises in the first four “core” chapters alone—a self-contained textbook of problems introducing basic theoretical knowledge necessary for solving problems and illustrating how to solve the problems at hand – in R and MATLAB, including code so that students can create simulations. New to this edition • Updated and re-worked Recommended Coverage for instructors, detailing which courses should use the textbook and how to utilize different sections for various objectives and time constraints • Extended and revised instructions and solutions to problem sets • Overhaul of Section 7.7 on continuous-time Markov chains • Supplementary materials include three sample syllabi and updated solutions manuals for both instructors and students
A Glance At Food Processing Applications
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Author : Isıl Var
language : en
Publisher: BoD – Books on Demand
Release Date : 2022-07-13
A Glance At Food Processing Applications written by Isıl Var and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-13 with Technology & Engineering categories.
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.
Modern Mathematical Statistics With Applications
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Author : Jay L. Devore
language : en
Publisher: Springer Nature
Release Date : 2021-04-29
Modern Mathematical Statistics With Applications written by Jay L. Devore and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-29 with Mathematics categories.
This 3rd edition of Modern Mathematical Statistics with Applications tries to strike a balance between mathematical foundations and statistical practice. The book provides a clear and current exposition of statistical concepts and methodology, including many examples and exercises based on real data gleaned from publicly available sources. Here is a small but representative selection of scenarios for our examples and exercises based on information in recent articles: Use of the “Big Mac index” by the publication The Economist as a humorous way to compare product costs across nations Visualizing how the concentration of lead levels in cartridges varies for each of five brands of e-cigarettes Describing the distribution of grip size among surgeons and how it impacts their ability to use a particular brand of surgical stapler Estimating the true average odometer reading of used Porsche Boxsters listed for sale on www.cars.com Comparing head acceleration after impact when wearing a football helmet with acceleration without a helmet Investigating the relationship between body mass index and foot load while running The main focus of the book is on presenting and illustrating methods of inferential statistics used by investigators in a wide variety of disciplines, from actuarial science all the way to zoology. It begins with a chapter on descriptive statistics that immediately exposes the reader to the analysis of real data. The next six chapters develop the probability material that facilitates the transition from simply describing data to drawing formal conclusions based on inferential methodology. Point estimation, the use of statistical intervals, and hypothesis testing are the topics of the first three inferential chapters. The remainder of the book explores the use of these methods in a variety of more complex settings. This edition includes many new examples and exercises as well as an introduction to the simulation of events and probability distributions. There are more than 1300 exercises in the book, ranging from very straightforward to reasonably challenging. Many sections have been rewritten with the goal of streamlining and providing a more accessible exposition. Output from the most common statistical software packages is included wherever appropriate (a feature absent from virtually all other mathematical statistics textbooks). The authors hope that their enthusiasm for the theory and applicability of statistics to real world problems will encourage students to pursue more training in the discipline.