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Author: Marcel Maeder
Publisher: Elsevier
ISBN: 0080548830
Category : Mathematics
Languages : en
Pages : 341
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Book Description
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
Author: Marcel Maeder
Publisher: Elsevier
ISBN: 0080548830
Category : Mathematics
Languages : en
Pages : 341
Get Book Here
Book Description
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
Author: D. Brynn Hibbert
Publisher: Oxford University Press
ISBN: 0190289937
Category : Science
Languages : en
Pages : 220
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Book Description
Chemical data analysis, with aspects of metrology in chemistry and chemometrics, is an evolving discipline where new and better ways of doing things are constantly being developed. This book makes data analysis simple by demystifying the language and whenever possible giving unambiguous ways of doing things. Based on author D. Brynn Hibberts lectures on data analysis to undergraduates and graduate students, Data Analysis for Chemistry covers topics including measurements, means and confidence intervals, hypothesis testing, analysis of variance, and calibration models. The end result is a compromise between recipes of how to perform different aspects of data analysis, and basic information on the background principles behind the recipes to be performed. An entry level book targeted at learning and teaching undergraduate data analysis, Data Analysis for Chemistry makes it easy for readers to find the information they are seeking to perform the data analysis they think they need.
Author: William P Gardiner
Publisher: Royal Society of Chemistry
ISBN: 1847551920
Category : Science
Languages : en
Pages : 390
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Book Description
Many forms of chemical experimentation generate data needing analysis and interpretation in respect of the goals of the experiment and also the chemical factors which may influence the outcome. Statistical data analysis techniques provide the tools which enable a chemist to assess the information obtained from experiments. Statistical Analysis Methods for Chemists: A Software-based Approach aims to give a broad introduction to practical data analysis, and provides comprehensive coverage of basic statistical principles and reasoning. With practical examples, and integration of software output as the basis of data analysis, this useful book gives unique coverage of the statistical skills and techniques required in modern chemical experimentation. It will prove invaluable to students and researchers alike. Software update information is available from W Gardiner at
[email protected] or fax +44 (0)141 331 3608. Please accompany requests for information with details of the software version to be used.
Author: Peter C. Meier
Publisher: John Wiley & Sons
ISBN: 0471726117
Category : Science
Languages : en
Pages : 452
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Book Description
This new edition of a successful, bestselling book continues to provide you with practical information on the use of statistical methods for solving real-world problems in complex industrial environments. Complete with examples from the chemical and pharmaceutical laboratory and manufacturing areas, this thoroughly updated book clearly demonstrates how to obtain reliable results by choosing the most appropriate experimental design and data evaluation methods. Unlike other books on the subject, Statistical Methods in Analytical Chemistry, Second Edition presents and solves problems in the context of a comprehensive decision-making process under GMP rules: Would you recommend the destruction of a $100,000 batch of product if one of four repeat determinations barely fails the specification limit? How would you prevent this from happening in the first place? Are you sure the calculator you are using is telling the truth? To help you control these situations, the new edition: * Covers univariate, bivariate, and multivariate data * Features case studies from the pharmaceutical and chemical industries demonstrating typical problems analysts encounter and the techniques used to solve them * Offers information on ancillary techniques, including a short introduction to optimization, exploratory data analysis, smoothing and computer simulation, and recapitulation of error propagation * Boasts numerous Excel files and compiled Visual Basic programs-no statistical table lookups required! * Uses Monte Carlo simulation to illustrate the variability inherent in statistically indistinguishable data sets Statistical Methods in Analytical Chemistry, Second Edition is an excellent, one-of-a-kind resource for laboratory scientists and engineers and project managers who need to assess data reliability; QC staff, regulators, and customers who want to frame realistic requirements and specifications; as well as educators looking for real-life experiments and advanced students in chemistry and pharmaceutical science. From the reviews of Statistical Methods in Analytical Chemistry, First Edition: "This book is extremely valuable. The authors supply many very useful programs along with their source code. Thus, the user can check the authenticity of the result and gain a greater understanding of the algorithm from the code. It should be on the bookshelf of every analytical chemist."-Applied Spectroscopy "The authors have compiled an interesting collection of data to illustrate the application of statistical methods . . . including calibrating, setting detection limits, analyzing ANOVA data, analyzing stability data, and determining the influence of error propagation."-Clinical Chemistry "The examples are taken from a chemical/pharmaceutical environment, but serve as convenient vehicles for the discussion of when to use which test, and how to make sense out of the results. While practical use of statistics is the major concern, it is put into perspective, and the reader is urged to use plausibility checks."-Journal of Chemical Education "The discussion of univariate statistical tests is one of the more thorough I have seen in this type of book . . . The treatment of linear regression is also thorough, and a complete set of equations for uncertainty in the results is presented . . . The bibliography is extensive and will serve as a valuable resource for those seeking more information on virtually any topic covered in the book."-Journal of American Chemical Society "This book treats the application of statistics to analytical chemistry in a very practical manner. [It] integrates PC computing power, testing programs, and analytical know-how in the context of good manufacturing practice/good laboratory practice (GMP/GLP) . . .The book is of value in many fields of analytical chemistry and should be available in all relevant libraries."-Chemometrics and Intelligent Laboratory Systems
Author: James M. Miller
Publisher: Wiley-Interscience
ISBN:
Category : Medical
Languages : en
Pages : 520
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Book Description
Based on the Laboratory Analyst Training and Certification Program ... chemists from a range of pharmaceutical companies and a few academic laboratories explain how to comply with the US Food and Drug Administration's Good Manufacturing Practice rules as analytical technologies are changing rapidly .... Among the topics are the drug development process, uniform and consistent interpretation of compliance issues, the role of statistics and basic topics in analytical chemistry, and detectors and quantitative analysis. The emphasis is on high-performance liquid chromatographic methods.
Author: Louis Lyons
Publisher: Cambridge University Press
ISBN: 9780521424639
Category : Science
Languages : en
Pages : 116
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Book Description
It is usually straightforward to calculate the result of a practical experiment in the laboratory. Estimating the accuracy of that result is often regarded by students as an obscure and tedious routine, involving much arithmetic. An estimate of the error is, however, an integral part of the presentation of the results of experiments. This textbook is intended for undergraduates who are carrying out laboratory experiments in the physical sciences for the first time. It is a practical guide on how to analyse data and estimate errors. The necessary formulas for performing calculations are given, and the ideas behind them are explained, although this is not a formal text on statistics. Specific examples are worked through step by step in the text. Emphasis is placed on the need to think about whether a calculated error is sensible. At first students should take this book with them to the laboratory, and the format is intended to make this convenient. The book will provide the necessary understanding of what is involved, should inspire confidence in the method of estimating errors, and enable numerical calculations without too much effort. The author's aim is to make practical classes more enjoyable. Students who use this book will be able to complete their calculations quickly and confidently, leaving time to appreciate the basic physical ideas involved in the experiments.
Author: John Dean
Publisher: Pearson Higher Ed
ISBN: 1292139935
Category : Science
Languages : en
Pages : 657
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Book Description
Practical skills form the cornerstone of chemistry. However, the diversity of skills required in the laboratory means that a student’s experience may be limited. While some techniques do require specific skills, many of them are transferable generic skills that are required throughout the subject area. Limited time constraints of the modern curriculum often preclude or minimise laboratory time. Practical Skills in Chemistry 3rd edition provides a general guidance for use in and out of practical sessions, covering a range of techniques from the basic to the more advanced. This ‘one-stop’ text will guide you through the wide range of practical, analytical and data handling skills that you will need during your studies. It will also give you a solid grounding in wider transferable skills such as teamwork, using information technology, communicating information and study skills. This edition has been enhanced and updated throughout to provide a complete and easy-to-read guide to the developing skills required from your first day through to graduation, further strengthening its reputation as the practical resource for students of chemistry and related discipline areas.
Author: Frank Clowes
Publisher:
ISBN:
Category : Analytical chemistry
Languages : en
Pages : 342
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Book Description
Author: Gary Miner
Publisher: Academic Press
ISBN: 012386979X
Category : Computers
Languages : en
Pages : 1096
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Book Description
"The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dramatically. This comprehensive professional reference brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis. The Handbook of Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications presents a comprehensive how- to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities"--
Author: S. Mitra
Publisher: CRC Press
ISBN: 1482231638
Category : Science
Languages : en
Pages : 345
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Book Description
The study of the environment requires the reliable and accurate measurement of extremely small quantities of chemicals and the ability to determine if they are pollutants or naturally occurring species. Historically, a "dilute and disperse" method of waste disposal has been accepted; yet as we learn the long-term consequences of such an approach, it is clear that more rigorous waste management techniques are necessary to understand the sources and fates of contaminants and to regulate their discharge. This volume presents the details of the basic analytical science involved in making these measurements. It concentrates on the basic principles of sampling and sample preparation, followed by the chemical principles of the major instrumental methods used in chemical analysis, and detailed discussions of the major environmental matrices. This book also provides coverage of topics usually only partially discussed in textbooks, such as quality assurance plans and statistical data handling. Students majoring in environmental sciences need a foundation in measurement techniques used in the field. Environmental Chemical Analysis gives students a thorough grounding in this field and enough information to judge the quality and interpret the information produced in the analytical laboratory.
