Search results for: multivariate-analysis-of-quality

Multivariate Analysis of Quality

Author : Harald Martens
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Data analysis is a vital part of science today, and in assessing quality, multivariate analysis is often necessary in order to avoid loss of essential information. Martens provides a powerful and versatile methodology that enables researchers to design their investigations and analyse data effectively and safely, without the need for formal statistical training. * Offers an introductory explanation of multivariate analysis by graphical 'soft modelling' * Minimises mathematics, providing all technical details in the appendix * Presents itself in an accessible style with cartoons, self-assessment questions and a wide range of practical examples * Demonstrates the methodology for various types of quality assessment, ranging from human quality perception via industrial quality monitoring to environmental quality and its molecular basis All data sets available FREE online on "Chemometrics World" (http://www.wiley.co.uk/wileychi/chemometrics)

Multivariate Analysis of Water Quality and Physical Characteristics of Selected Watersheds in Puerto Rico

Author : Déborah Matilde Santos-Román
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Statistics of Quality

Author : Subir Ghosh
File Size : 35.33 MB
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Explains the role of statistics in improving the quality of collecting and analyzing information for a wide variety of applications. The book examines the function of statisticians in quality improvement. It discusses statistical process control, quality statistical tables, and quality and warranty; quality standards in medicine and public health; Taguchi robust designs and survival models; and more.

Multivariate Analysis of Data in Sensory Science

Author : T. Naes
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The state-of-the-art of multivariate analysis in sensory science is described in this volume. Both methods for aggregated and individual sensory profiles are discussed. Processes and results are presented in such a way that they can be understood not only by statisticians but also by experienced sensory panel leaders and users of sensory analysis. The techniques presented are focused on examples and interpretation rather than on the technical aspects, with an emphasis on new and important methods which are possibly not so well known to scientists in the field. Important features of the book are discussions on the relationship among the methods with a strong accent on the connection between problems and methods. All procedures presented are described in relation to sensory data and not as completely general statistical techniques. Sensory scientists, applied statisticians, chemometricians, those working in consumer science, food scientists and agronomers will find this book of value.

Multivariate Calibration

Author : Harald Martens
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Multivariate Calibration Harald Martens, Chemist, Norwegian Food Research Institute, Aas, Norway and Norwegian Computing Center, Oslo, Norway Tormod Næs, Statistician, Norwegian Food Research Institute, Aas, Norway The aim of this inter-disciplinary book is to present an up-to-date view of multivariate calibration of analytical instruments, for use in research, development and routine laboratory and process operation. The book is intended to show practitioners in chemistry and technology how to extract the quantitative and understandable information embedded in non-selective, overwhelming and apparently useless measurements by multivariate data analysis. Multivariate calibration is the process of learning how to combine data from several channels, in order to overcome selectivity problems, gain new insight and allow automatic outlier detection. Multivariate calibration is the basis for the present success of high-speed Near-Infrared (NIR) diffuse spectroscopy of intact samples. But the technique is very general: it has shown similar advantages in, for instance, UV, Vis, and IR spectrophotometry, (transmittance, reflectance and fluorescence), for x-ray diffraction, NMR, MS, thermal analysis, chromatography (GC, HPLC) and for electrophoresis and image analysis (tomography, microscopy), as well as other techniques. The book is written at two levels: the main level is structured as a tutorial on the practical use of multivariate calibration techniques. It is intended for university courses and self-study for chemists and technologists, giving one complete and versatile approach, based mainly on data compression methodology in self-modelling PLS regression, with considerations of experimental design, data pre-processing and model validation. A second, more methodological, level is intended for statisticians and specialists in chemometrics. It compares several alternative calibration methods, validation approaches and ways to optimize the models. The book also outlines some cognitive changes needed in analytical chemistry, and suggests ways to overcome some communication problems between statistics and chemistry and technology.

Multivariate Analysis in the Pharmaceutical Industry

Author : Ana Patricia Ferreira
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Multivariate Analysis in the Pharmaceutical Industry provides industry practitioners with guidance on multivariate data methods and their applications over the lifecycle of a pharmaceutical product, from process development, to routine manufacturing, focusing on the challenges specific to each step. It includes an overview of regulatory guidance specific to the use of these methods, along with perspectives on the applications of these methods that allow for testing, monitoring and controlling products and processes. The book seeks to put multivariate analysis into a pharmaceutical context for the benefit of pharmaceutical practitioners, potential practitioners, managers and regulators. Users will find a resources that addresses an unmet need on how pharmaceutical industry professionals can extract value from data that is routinely collected on products and processes, especially as these techniques become more widely used, and ultimately, expected by regulators. Targets pharmaceutical industry practitioners and regulatory staff by addressing industry specific challenges Includes case studies from different pharmaceutical companies and across product lifecycle of to introduce readers to the breadth of applications Contains information on the current regulatory framework which will shape how multivariate analysis (MVA) is used in years to come

Multivariate Quality Control

Author : Camil Fuchs
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Provides a theoretical foundation as well as practical tools for the analysis of multivariate data, using case studies and MINITAB computer macros to illustrate basic and advanced quality control methods. This work offers an approach to quality control that relies on statistical tolerance regions, and discusses computer graphic analysis highlighting multivariate profile charts.

Multivariate Analysis of Ecological Data Using CANOCO

Author : Jan Lepš
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Ordination, experimental design, gradient analysis, permutation, similarity.

JMP for Basic Univariate and Multivariate Statistics

Author : Ann Lehman, PhD
File Size : 30.35 MB
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Updated for JMP 10, the book provides hands-on tutorials with just the right amount of conceptual and motivational material to illustrate how to use the intuitive interface for data analysis in JMP. Features concept-specific tutorials, examples, brief reviews of concepts, step-by-step illustrations, and exercises.

Multivariate Data Analysis

Author : Kim H. Esbensen
File Size : 38.46 MB
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Multivariate Statistical Methods in Quality Management

Author : Kai Yang
File Size : 56.13 MB
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Multivariate statistical methods are an essential component of quality engineering data analysis. This monograph provides a solid background in multivariate statistical fundamentals and details key multivariate statistical methods, including simple multivariate data graphical display and multivariate data stratification. * Graphical multivariate data display * Multivariate regression and path analysis * Multivariate process control charts * Six sigma and multivariate statistical methods

Encyclopedia of Statistical Sciences Multivariate Analysis to Plackett and Burman Designs

Author : Samuel Kotz
File Size : 23.86 MB
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Preis für alle 9 Bände: _ 417,33 Vol. 1- 02401270, Vol 2- 02401287, Vol 3- 02401294, Vol 4- 02401300, Vol 5- 02401317, Vol 6- 02401324, Vol 7- 02401331, Vol 8- 02401348, Vol 9- 02401355

Attitudes Toward Environmental Quality

Author : Jerry L. Polinard
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A Multivariate Analysis of the Relationship Between the Water Quality Conditions and Algal Species Composition of Six Mountain Lakes in the North Cascades WA USA

Author : Michael P. Lawlor
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The objective of my study was to characterize the water quality conditions and algal species composition of six mountain lakes in the North Cascades of Washington, USA. Exploratory data analysis examined water quality conditions and algal species composition separately, then determined if they were related. The lakes exhibited median temperatures from 13.3 °C to 20.8 °C, had nitrate and soluble reactive phosphate concentrations below 100 [lowercase mu]g/L and 6 [lowercase mu]g/L, respectively, were slightly acidic (pH 5.1-6.9), and had median dissolved oxygen concentrations ranging from 6.7 mg/L to 10.6 mg/L. Over 340 non-diatom algal taxa were identified. Algal species richness was positively correlated with water temperature ([lowercase tau] = 0.353, p-value

Process Monitoring and Quality by Design for Biotechnology Products

Author : Neslihan Delacruz
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Traditional pharmaceutical development is an unwieldy process requiring extensive experimentation and long lead times before process scientists can fully understand the effect that process parameters such as pH, temperature, cell viability, or process yield may have on the product acceptability. Implementation of quality by design is a science-based approach that allows the operating ranges and the acceptance criteria to be established based on the impact on product quality attributes. During manufacturing, process monitoring becomes part of a continuous verification effort and statistical control limits can be used to signal potential trends or drifts in the process. Single manufacturing batches that are aberrant are readily identified. The melding of scientific understanding, information systems architecture, instrumentation, software, and personnel training provides a large return on investment by ensuring that the manufacturing process produces a consistent pharmaceutical product that meets acceptable release standards for human use.

Handbook of Seafood Quality Safety and Health Applications

Author : Cesarettin Alasalvar
File Size : 60.67 MB
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The global market for seafood products continues to increase year by year. Food safety considerations are as crucial as ever in this sector, and higher standards of quality are demanded even as products are shipped greater distances around the world. The current global focus on the connection between diet and health drives growth in the industry and offers commercial opportunities on a number of fronts. There is great interest in the beneficial effects of marine functional compounds such as omega-3 polyunsaturated fatty acids. Seafoods are well-known as low calorie foods, and research continues into the nutritional effects on, for example, obesity and heart disease. In addition, by-products of marine food processing can be used in nutraceutical applications. This book is a resource for those interested in the latest advances in the science and technology of seafood quality and safety as well as new developments in the nutritional effects and applications of marine foods. It includes chapters on the practical evaluation of seafood quality; novel approaches in preservation techniques; flavour chemistry and analysis; textural quality and measurement; packaging; the control of food-borne pathogens and seafood toxins. New research on the health-related aspects of marine food intake are covered, as well as the use of seafoods as sources of bioactives and nutraceuticals. The book is directed at scientists and technologists in academia, government laboratories and the seafood industries, including quality managers, processors and sensory scientists.

Statistics in Industry

Author : Rao khattree
File Size : 55.82 MB
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This volume presents an exposition of topics in industrial statistics. It serves as a reference for researchers in industrial statistics/industrial engineering and a source of information for practicing statisticians/industrial engineers. A variety of topics in the areas of industrial process monitoring, industrial experimentation, industrial modelling and data analysis are covered and are authored by leading researchers or practitioners in the particular specialized topic. Targeting the audiences of researchers in academia as well as practitioners and consultants in industry, the book provides comprehensive accounts of the relevant topics. In addition, whenever applicable ample data analytic illustrations are provided with the help of real world data.

Applied Multivariate Analysis in SAR and Environmental Studies

Author : J. Devillers
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Based on the Lectures given during the Eurocourse on `Applied Multivariate Analysis in SAR and Environmental Studies' held at the Joint Research Centre, Ispra, Italy, June 24-28, 1991

Groupthink Versus High Quality Decision Making in International Relations

Author : Mark Schafer
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Are good and bad outcomes significantly affected by the decision-making process itself? Indeed they are, in that certain decision-making techniques and practices limit the ability of policymakers to achieve their goals and advance the national interest. The success of policy often turns on the quality of the decision-making process. Mark Schafer and Scott Crichlow identify the factors that contribute to good and bad policymaking, such as the personalities of political leaders, the structure of decision-making groups, and the nature of the exchange between participating individuals. Analyzing thirty-nine foreign-policy cases across nine administrations and incorporating both statistical analyses and case studies, including a detailed examination of the decision to invade Iraq in 2003, the authors pinpoint the factors that are likely to lead to successful or failed decision making, and they suggest ways to improve the process. Schafer and Crichlow show how the staffing of key offices and the structure of central decision-making bodies determine the path of an administration even before topics are introduced. Additionally, they link the psychological characteristics of leaders to the quality of their decision processing. There is no greater work available on understanding and improving the dynamics of contemporary decision making.

Water Quality Monitoring Network Design

Author : Nilgun B. Harmancioglu
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In recent years, the adequacy of collected water quality data and the performance of existing monitoring networks have been seriously evaluated for two basic reasons. First, an efficient information system is required to satisfy the needs of water quality management plans and to aid in the decision-making process. Second, this system has to be realized under the constraints of limited financial resources, sampling and analysis facilities, and manpower. Problems observed in available data and shortcomings of current networks have led researchers to focus more critically on the design procedures used. The book is intended to present an up-to-date overview of the current network design procedures and develop basic guidelines to be followed in both the design and the redesign of water quality monitoring networks. The book treats the network design problem in a comprehensive and systematic framework, starting with objectives of monitoring and elaborating on various technical design features, e.g. selection of sampling sites, sampling frequencies, variables to be monitored, and sampling duration. The design procedures presented are those that the authors have recently applied in a number of national and international projects on the design and redesign of water quality monitoring networks. Thus, the book covers real case studies where not only the methods described in the earlier titles are used but also new techniques are introduced. Where earlier methods are used, they are assessed with respect to their efficiency and applicability to real case problems. Audience: Essentially, the framework adopted in the book applies as well to other hydrometric data collection networks besides those of water quality. In this respect, it is expected that planners, designers, scientists, and engineers who are involved in hydrometric network design will benefit from the in-depth approach assumed in this book. It will also be of interest to research and data centers, international programs and organizations related to environmental monitoring. The book may also be used as a reference text in graduate courses of water resources and environmental engineering programs.