Handling Science Data

Handling Science Data

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  • Author: Peter Harwood
  • Publisher:
  • ISBN: 9780590537278
  • Category : Science
  • Languages : en
  • Pages : 64

Children consistently struggle in the science national tests when they asked to explain data presented as tables of results or grphs. The skills needed to understand and use such data must be developed throughout the primary years. This series is aimed at teachers of KS2/Primary 4-7. It comprises of four year-specific books of 64 pages each. Each book provide paired pages: pupils' photocopiable worksheets presenting someience data (in a form appropriate to the mathematical development of children of that age) with interrogation questions, and teacers' notes explaining how to obtain similar data, the key features of the data presentation given and the answers to the questionss on the pupil's page. Each book will include activties relating to living things, materials and physical processes. The topics to which the data relates will be drawn from the QCA Science Scheme of Work, but with refrences to show their application in Scotland, for example, and including one or two data sets in each book to cover the occasional topics that only occur in the Scottish curriculum, such as enery. The data presented in these books is real work by Year 3-6 children, collected for the Liverpool John Moores University Primary Science Project, sponsored by the Astra Zeneca Science Teaching Trust.


Statistical Design - Chemometrics

Statistical Design - Chemometrics

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  • Author: Roy E Bruns
  • Publisher: Elsevier
  • ISBN: 0080462138
  • Category : Education
  • Languages : en
  • Pages : 423

Statistical Design-Chemometrics is applicable to researchers and professionals who wish to perform experiments in chemometrics and carry out analysis of the data in the most efficient way possible. The language is clear, direct and oriented towards real applications. The book provides 106 exercises with answers to accompany the study of theoretical principles. Forty two cases studies with real data are presented showing designs and the complete statistical analyses for problems in the areas chromatography, electroanalytical and electrochemistry, calibration, polymers, gas adsorption, semiconductors, food technology, biotechnology, photochemistry, catalysis, detergents and ceramics. These studies serve as a guide that the reader can use to perform correct data analyses.-Provides 42 case studies containing step-by-step descriptions of calculational procedures that can be applied to most real optimization problems-Contains 106 theoretical exercises to test individual learning and to provide classroom exercises and material for written tests and exams-Written in a language that facilitates learning for physical and biological scientists and engineers-Takes a practical approach for those involved in industrial optimization problems


Experimental Design

Experimental Design

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  • Author: S.N. Deming
  • Publisher: Elsevier
  • ISBN: 0080868304
  • Category : Science
  • Languages : en
  • Pages : 301

Now available in a paperback edition is a book which has been described as ``...an exceptionally lucid, easy-to-read presentation... would be an excellent addition to the collection of every analytical chemist. I recommend it with great enthusiasm.'' (Analytical Chemistry). Unlike most current textbooks, it approaches experimental design from the point of view of the experimenter, rather than that of the statistician. As the reviewer in `Analytical Chemistry' went on to say: ``Deming and Morgan should be given high praise for bringing the principles of experimental design to the level of the practicing analytical chemist.''.The book first introduces the reader to the fundamentals of experimental design. Systems theory, response surface concepts, and basic statistics serve as a basis for the further development of matrix least squares and hypothesis testing. The effects of different experimental designs and different models on the variance-covariance matrix and on the analysis of variance (ANOVA) are extensively discussed. Applications and advanced topics (such as confidence bands, rotatability, and confounding) complete the text. Numerous worked examples are presented.The clear and practical approach adopted by the authors makes the book applicable to a wide audience. It will appeal particularly to those with a practical need (scientists, engineers, managers, research workers) who have completed their formal education but who still need to know efficient ways of carrying out experiments. It will also be an ideal text for advanced undergraduate and graduate students following courses in chemometrics, data acquisition and treatment, and design of experiments.


Data Fusion Methodology and Applications

Data Fusion Methodology and Applications

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  • Author: Marina Cocchi
  • Publisher: Elsevier
  • ISBN: 0444639853
  • Category : Science
  • Languages : en
  • Pages : 398

Data Fusion Methodology and Applications explores the data-driven discovery paradigm in science and the need to handle large amounts of diverse data. Drivers of this change include the increased availability and accessibility of hyphenated analytical platforms, imaging techniques, the explosion of omics data, and the development of information technology. As data-driven research deals with an inductive attitude that aims to extract information and build models capable of inferring the underlying phenomena from the data itself, this book explores the challenges and methodologies used to integrate data from multiple sources, analytical platforms, different modalities, and varying timescales. - Presents the first comprehensive textbook on data fusion, focusing on all aspects of data-driven discovery - Includes comprehensible, theoretical chapters written for large and diverse audiences - Provides a wealth of selected application to the topics included


Practical Data Analysis in Chemistry

Practical Data Analysis in Chemistry

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  • Author: Marcel Maeder
  • Publisher: Elsevier
  • ISBN: 0080548830
  • Category : Mathematics
  • Languages : en
  • Pages : 341

The majority of modern instruments are computerised and provide incredible amounts of data. Methods that take advantage of the flood of data are now available; importantly they do not emulate 'graph paper analyses' on the computer. Modern computational methods are able to give us insights into data, but analysis or data fitting in chemistry requires the quantitative understanding of chemical processes. The results of this analysis allows the modelling and prediction of processes under new conditions, therefore saving on extensive experimentation. Practical Data Analysis in Chemistry exemplifies every aspect of theory applicable to data analysis using a short program in a Matlab or Excel spreadsheet, enabling the reader to study the programs, play with them and observe what happens. Suitable data are generated for each example in short routines, this ensuring a clear understanding of the data structure. Chapter 2 includes a brief introduction to matrix algebra and its implementation in Matlab and Excel while Chapter 3 covers the theory required for the modelling of chemical processes. This is followed by an introduction to linear and non-linear least-squares fitting, each demonstrated with typical applications. Finally Chapter 5 comprises a collection of several methods for model-free data analyses.* Includes a solid introduction to the simulation of equilibrium processes and the simulation of complex kinetic processes.* Provides examples of routines that are easily adapted to the processes investigated by the reader* 'Model-based' analysis (linear and non-linear regression) and 'model-free' analysis are covered


Hyperspectral Imaging

Hyperspectral Imaging

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  • Author:
  • Publisher: Elsevier
  • ISBN: 0444639780
  • Category : Science
  • Languages : en
  • Pages : 802

Hyperspectral Imaging, Volume 32, presents a comprehensive exploration of the different analytical methodologies applied on hyperspectral imaging and a state-of-the-art analysis of applications in different scientific and industrial areas. This book presents, for the first time, a comprehensive collection of the main multivariate algorithms used for hyperspectral image analysis in different fields of application. The benefits, drawbacks and suitability of each are fully discussed, along with examples of their application. Users will find state-of-the art information on the machinery for hyperspectral image acquisition, along with a critical assessment of the usage of hyperspectral imaging in diverse scientific fields. - Provides a comprehensive roadmap of hyperspectral image analysis, with benefits and considerations for each method discussed - Covers state-of-the-art applications in different scientific fields - Discusses the implementation of hyperspectral devices in different environments


Multivariate Analysis of Data in Sensory Science

Multivariate Analysis of Data in Sensory Science

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  • Author: T. Naes
  • Publisher: Elsevier
  • ISBN: 0080537162
  • Category : Education
  • Languages : en
  • Pages : 365

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.


Data-Handling in Biomedical Science

Data-Handling in Biomedical Science

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  • Author: Peter White
  • Publisher: Cambridge University Press
  • ISBN: 1139488201
  • Category : Medical
  • Languages : en
  • Pages :

Packed with worked examples and problems, this book will help the reader improve their confidence and skill in data-handling. The mathematical methods needed for problem-solving are described in the first part of the book, with chapters covering topics such as indices, graphs and logarithms. The following eight chapters explore data-handling in different areas of microbiology and biochemistry including microbial growth, enzymes and radioactivity. Each chapter is fully illustrated with worked examples that provide a step-by-step guide to the solution of the most common problems. Over 30 exercises, ranging in difficulty and length, allow you to practise your skills and are accompanied by a full set of hints and solutions.


Open Source Approaches in Spatial Data Handling

Open Source Approaches in Spatial Data Handling

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  • Author: Brent Hall
  • Publisher: Springer Science & Business Media
  • ISBN: 3540748318
  • Category : Science
  • Languages : id
  • Pages : 285

The role open-source geospatial software plays in data handling within the spatial information technology industry is the overarching theme of the book. It also examines new tools and applications for those already using OS approaches to software development.


Design and Optimization in Organic Synthesis

Design and Optimization in Organic Synthesis

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  • Author: Rolf Carlson
  • Publisher: Elsevier
  • ISBN: 0080455271
  • Category : Science
  • Languages : en
  • Pages : 594

Revised, and updated Design and Optimization in Organic Synthesis presents strategies to explore experimental conditions and methodologies for systematic studies of entire reaction systems (substrates, reagent(s), catalyst(s), and solvents). Chemical phenomena are not usually the result of a single factor and this book describes how statistically designed methods can be used to analyse and evaluate synthetic procedures. The methodology is based on multivariate statistical techniques. The accompanying CD contains data tables and programmes. This book is essential reading for anyone working in process design and development in fine chemicals or the pharmaceutical industry, and is suitable for those with no experience in the field.* Contains recalculated models and redrawn figures, as well as new chapters on for example, the design of combinatorial libraries * Presents strategies to explore experimental conditions and methodologies* Enables the analysis and prediction of the best synthetic procedures