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Statistical Methods in Food and Consumer Research,, Maximo C. Gacula, Jr.

Statistical Methods in Food and Consumer Research,

Автор: Maximo C. Gacula, Jr.
Название:  Statistical Methods in Food and Consumer Research,
Издательство: Elsevier Science
Классификация:
Вероятность и статистика
Промышленная химия

ISBN: 0123737168
ISBN-13(EAN): 9780123737168
ISBN: 0-12-373716-8
ISBN-13(EAN): 978-0-12-373716-8
Обложка/Формат: Hardback
Страницы: 888
Вес: 1.763 кг.
Дата издания: 01.12.2008
Серия: Life Sciences
Язык: ENG
Издание: 2 rev ed
Иллюстрации: Approx. 130 illustrations
Размер: 246 x 189 mm, 1769 grams
Читательская аудитория: Professional & Vocational
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Англии
Описание: Statistical Methods in Food and Consumer Research continues to be the only book to focus solely on the statistical techniques used in sensory testing of foods, pharmaceuticals, cosmetics, and other consumer products. This new edition includes the most recent applications of statistical methods, and features significant updates as well as two new chapters. C vering the application of techniques including R-index, the Bayesian approach for sensory differences tests, and preference mapping in addition to several other methodologies, this is the comprehensive reference needed by those studying sensory evaluation and applied statistics in agriculture and biological sciences.

Research professionals working with food, beverages, healthcare, cosmetics, and other related areas will find the book a valuable guide to the variety of statistical methods available. The book provides comprehensive coverage of statistical techniques in sensory testing; includes data compiled from real-world experiments; covers the latest in data interpretation and analysis; and, addresses key methods such as R-index, Thursonian Discriminal Distances, group sequential tests, beta-binomial tests, sensory difference and similarity tests, just-about-right data, signal-to-noise ratio, analysis of cosmetic data, Descriptive Analysis, claims substantiation and preference mapping.


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Essential Statistical Methods for Medical Statistics,

Автор: J. Philip Miller
Название: Essential Statistical Methods for Medical Statistics,
ISBN: 0444537376 ISBN-13(EAN): 9780444537379
Издательство: Elsevier Science
Цена: 4463 р.
Наличие на складе: Поставка под заказ.
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Mathematical and statistical methods in reliability

Название: Mathematical and statistical methods in reliability
ISBN: 9812383212 ISBN-13(EAN): 9789812383211
Издательство: World Scientific Publishing
Цена: 11146 р.
Наличие на складе: Поставка под заказ.
Описание: This book contains extended versions of 34 carefully selected and reviewed papers presented at the Third International Conference on Mathematical Methods in Reliability, held in Trondheim, Norway in 2002. It provides a broad overview of current research activities in reliability theory and its applications. There are chapters on reliability modelling, network and system reliability, reliability optimization, survival analysis, degradation and maintenance modelling, and software reliability.

The authors are all leading experts in the field. A particular feature of the book is a historical review by Professor Richard E Barlow, well known for his pioneering research on reliability. The list of authors also includes the plenary session speakers Odd O Aalen, Philip J Boland, Sallie A Keller-McNulty, and Nozer Singpurwalla.

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Modern statistical and mathematical methods in reliability

Название: Modern statistical and mathematical methods in reliability
ISBN: 9812563563 ISBN-13(EAN): 9789812563569
Издательство: World Scientific Publishing
Цена: 17895 р.
Наличие на складе: Поставка под заказ.
Описание: This volume contains extended versions of 28 carefully selected and reviewed papers presented at The Fourth International Conference on Mathematical Methods in Reliability in Santa Fe, New Mexico, June 21-25, 2004, the leading conference in reliability research. The meeting serves as a forum for discussing fundamental issues on mathematical methods in reliability theory and its applications. A broad overview of current research activities in reliability theory and its applications is provided with coverage on reliability modelling, network and system reliability, Bayesian methods, survival analysis, degradation and maintenance modelling, and software reliability.

The contributors are all leading experts in the field and include the plenary session speakers, Tim Bedford, Thierry Duchesne, Henry Wynn, Vicki Bier, Edsel Pena, Michael Hamada, and Todd Graves.

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Statistical Methods

Автор: Saville
Название: Statistical Methods
ISBN: 0387947051 ISBN-13(EAN): 9780387947051
Издательство: Springer
Цена: 5618 р.
Наличие на складе: Нет в наличии.
Описание: Presents the mathematics underlying elementary statistical methods in a simple manner. This book includes independent and paired sample t-tests, analysis of variance, regression, and the analysis of covariance. The principle tool is the use of geometric ideas to provide more visual insight and to make the theory accessible to a wider audience.
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Fundamentals of Modern Statistical Methods / Substantially Improving Power and Accuracy

Автор: Wilcox Rand R.
Название: Fundamentals of Modern Statistical Methods / Substantially Improving Power and Accuracy
ISBN: 0387951571 ISBN-13(EAN): 9780387951577
Издательство: Springer
Цена: 4617 р.
Наличие на складе: Нет в наличии.
Описание: Conventional statistical methods have a very serious flaw. They routinely miss differences among groups or associations among variables that are detected by more modern techniques - even under very small departures from normality. Hundreds of journal articles have described the reasons standard techniques can be unsatisfactory, but simple, intuitive explanations are generally unavailable. Improved methods have been derived, but they are far from obvious or intuitive based on the training most researchers receive. Situations arise where even highly nonsignificant results become significant when analyzed with more modern methods. Without assuming any prior training in statistics, Part I of this book describes basic statistical principles from a point of view that makes their shortcomings intuitive and easy to understand. The emphasis is on verbal and graphical descriptions of concepts. Part II describes modern methods that address the problems covered in Part I. Using data from actual studies, many examples are included to illustrate the practical problems with conventional procedures and how more modern methods can make a substantial difference in the conclusions reached in many areas of statistical research.Rand Wilcox is a professor of psychology at the University of Southern California. He is a fellow of the Royal Statistical Society and the American Psychological Society. Dr. Wilcox currently serves as an associate editor of Computational Statistics & Data Analysis and Psychometrika. He has published over 165 articles in a wide range of statistical journals and he is the author of three other books on statistics.|ВїThe volume is a jewel of direct explanations and information necessary for a good understanding of analysis of data, aimed at ordinary researchers who must try to present reasonable interpretable accounts of their data or judge when to abandon a particular strategy..."|- Perceptual and Motor Skills, 2002
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Statistical Methods for the Analysis of Repeated Measurements

Автор: Davis Charles S.
Название: Statistical Methods for the Analysis of Repeated Measurements
ISBN: 0387953701 ISBN-13(EAN): 9780387953700
Издательство: Springer
Цена: 6927 р.
Наличие на складе: Нет в наличии.
Описание: This book provides a comprehensive summary of a wide variety of statistical methods for the analysis of repeated measurements. It is designed to be both a useful reference for practitioners and a textbook for a graduate-level course focused on methods for the analysis of repeated measurements. This book will be of interest to * Statisticians in academics, industry, and research organizations* Scientists who design and analyze studies in which repeated measurements are obtained from each experimental unit* Graduate students in statistics and biostatistics.The prerequisites are knowledge of mathematical statistics at the level of Hogg and Craig (1995) and a course in linear regression and ANOVA at the level of Neter et. al. (1985).The important features of this book include a comprehensive coverage of classical and recent methods for continuous and categorical outcome variables; numerous homework problems at the end of each chapter; and the extensive use of real data sets in examples and homework problems.The 80 data sets used in the examples and homework problems can be downloaded from www.springer-ny.com at the list of author websites. Since many of the data sets can be used to demonstrate multiple methods of analysis, instructors can easily develop additional homework problems and exam questions based on the data sets provided. In addition, overhead transparencies produced using TeX and solutions to homework problems are available to course instructors. The overheads also include programming statements and computer output for the examples, prepared primarily using the SAS System.Charles S. Davis is Senior Director of Biostatistics at Elan Pharmaceuticals, San Diego, California. He previously was professor in the Department of Biostatistics at the University of Iowa. He is author or co-author of more than 75 peer-reviewed papers in statistical and medical journals and one book (Categorical Data Analysis using the SAS System with Maura Stokes and Gary Koch). His research and teaching interests include categorical data analysis, methods for the analysis of repeated measurements, and clinical trials. Dr. Davis has consulted with numerous companies and has taught short courses on categorical data analysis, methods for the analysis of repeated measurements, and clinical trials methodology for industrial, government, and academic organizations. He received an "Excellence in Continuing Education" award from the American Statistical Association in 2001 and has served as associate editor of the journals Controlled Clinical Trials and The American Statistician and as chair of the Biometrics Section of the ASA.
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Exact Statistical Methods for Data Analysis

Автор: Weerahandi Samaradasa
Название: Exact Statistical Methods for Data Analysis
ISBN: 0387406212 ISBN-13(EAN): 9780387406213
Издательство: Springer
Цена: 4848 р.
Наличие на складе: Нет в наличии.
Описание: Now available in paperback. This book covers some recent developments in statistical inference. The author's main aim is to develop a theory of generalized p-values and generalized confidence intervals and to show how these concepts may be used to make exact statistical inferences in a variety of practical applications. In particular, they provide methods applicable in problems involving nuisance parameters such as those encountered in comparing two exponential distributions or in ANOVA without the assumption of equal error variances. The generalized procedures are shown to be more powerful in detecting significant experimental results and in avoiding misleading conclusions.
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Probabilistic and Statistical Methods in Computer Science

Автор: Mari Jean-FranГ§ois, Schott RenГ©
Название: Probabilistic and Statistical Methods in Computer Science
ISBN: 0792372867 ISBN-13(EAN): 9780792372868
Издательство: Springer
Цена: 13318 р.
Наличие на складе: Нет в наличии.
Описание: Probabilistic and Statistical Methods in Computer Science presents a large variety of applications of probability theory and statistics in computer science and more precisely in algorithm analysis, speech recognition and robotics. It is written on a self-contained basis: all probabilistic and statistical tools needed are introduced on a comprehensible level. In addition all examples are worked out completely. Most of the material is scattered throughout available literature. However, this is the first volume that brings together all of this material in such an accessible format. Probabilistic and Statistical Methods in Computer Science is intended for students in computer science and applied mathematics, for engineers and for all researchers interested in applications of probability theory and statistics. It is suitable for self study as well as being appropriate for a course or seminar.
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Statistical Methods for Quality of Life Studies / Design, Measurements and Analysis

Автор: Mesbah Mounir, Cole Bernard F., Mei-Ling Ting Lee
Название: Statistical Methods for Quality of Life Studies / Design, Measurements and Analysis
ISBN: 1402001428 ISBN-13(EAN): 9781402001420
Издательство: Springer
Цена: 9006 р.
Наличие на складе: Нет в наличии.
Описание: The volume presents a broad spectrum of papers which illustrates a range of current research related to the theory, methods and applications of health related quality of life (HRQoL) as well as the interdisciplinary nature of this work.
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Statistical Methods for Biostatistics and Related Fields

Автор: HГ¤rdle Wolfgang, Mori Yuichi, Vieu Philippe
Название: Statistical Methods for Biostatistics and Related Fields
ISBN: 3540326901 ISBN-13(EAN): 9783540326908
Издательство: Springer
Цена: 8082 р.
Наличие на складе: Нет в наличии.
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Nonparametrics / Statistical Methods Based on Ranks

Автор: Lehmann Erich L., D`Abrera H.J.M.
Название: Nonparametrics / Statistical Methods Based on Ranks
ISBN: 0387352120 ISBN-13(EAN): 9780387352121
Издательство: Springer
Цена: 4232 р.
Наличие на складе: Нет в наличии.
Описание: Rank tests form a class of statistical procedures that have the advantage of great simplicity combined with surprising power. Since their development in the 1940s and 1950s, they have taken their place as strong competitors of the more classical normal theory methods. Rank tests apply only to relatively simple solutions, such as one-, tw0-, and s-sample problems, and testing for independence and randomness, but for these situations they are often the method of choice.This reprint of a classic reference book describes these tests and the estimating procedures derived from them, and gives an account of their properties. Even though the field of rank tests has undergone little change, important new methodologies have sprung up that also serve the purpose of freeing statistics from the unrealistic model assumptions that so frequently invalidate its applications. All the tests discussed here are now available in a variety of statistical packages. E.L. Lehmann is Professor of Statistics Emeritus at the University of California, Berkeley. He is a member of the National Academy of Sciences and the American Academy of Arts and Sciences, and the recipient of honorary degrees from the University of Leiden, The Netherlands and the University of Chicago. He is the author of Elements of Large-Sample Theory, Theory of Point Estimation, Second Edition (with George Casella), and Testing Statistical Hypotheses, Third Edition (with Joseph P. Romano).
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Applied Adaptive Statistical Methods

Автор: Thomas W. O`Gorman
Название: Applied Adaptive Statistical Methods
ISBN: 0898715539 ISBN-13(EAN): 9780898715538
Издательство: Cambridge Academ
Цена: 4470 р.
Наличие на складе: Поставка под заказ.
Описание: Adaptive statistical tests, developed over the last 30 years, are often more powerful than traditional tests of significance, but have not been widely used. To date, discussions of adaptive statistical methods have been scattered across the literature and generally do not include the computer programs necessary to make these adaptive methods a practical alternative to traditional statistical methods. Until recently, there has also not been a general approach to tests of significance and confidence intervals that could easily be applied in practice. Modern adaptive methods are more general than earlier methods and sufficient software has been developed to make adaptive tests easy to use for many real-world problems. Applied Adaptive Statistical Methods: Tests of Significance and Confidence Intervals introduces many of the practical adaptive statistical methods developed over the last 10 years and provides a comprehensive approach to tests of significance and confidence intervals.
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