Data Analysis For Chemistry

Author: D. Brynn Hibbert
Publisher: OUP USA
ISBN: 0195162102
Size: 75.10 MB
Format: PDF
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Annotation. Definitions, Questions, and Useful Functions: Where to Find Things and What To Do1. Introduction2. Describing Data3. Hypothesis Testing4. Analysis of Variance5. Calibration.

Data Analysis For Chemistry An Introductory Guide For Students And Laboratory Scientists

Author: D. Brynn Hibbert
Publisher: Oxford University Press, USA
ISBN: 9780195162103
Size: 44.58 MB
Format: PDF, ePub, Mobi
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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 Chemistrycovers 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.

Selection Of The Hplc Method In Chemical Analysis

Author: Serban C. Moldoveanu
Publisher: Elsevier
ISBN: 0128037113
Size: 23.83 MB
Format: PDF, ePub, Mobi
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Selection of the HPLC Method in Chemical Analysis serves as a practical guide to users of high-performance liquid chromatography and provides criteria for method selection, development, and validation. High-performance liquid chromatography (HPLC) is the most common analytical technique currently practiced in chemistry. However, the process of finding the appropriate information for a particular analytical project requires significant effort and pre-existent knowledge in the field. Further, sorting through the wealth of published data and literature takes both time and effort away from the critical aspects of HPLC method selection. For the first time, a systematic approach for sorting through the available information and reviewing critically the up-to-date progress in HPLC for selecting a specific analysis is available in a single book. Selection of the HPLC Method in Chemical Analysis is an inclusive go-to reference for HPLC method selection, development, and validation. Addresses the various aspects of practice and instrumentation needed to obtain reliable HPLC analysis results Leads researchers to the best choice of an HPLC method from the overabundance of information existent in the field Provides criteria for HPLC method selection, development, and validation Authored by world-renowned HPLC experts who have more than 60 years of combined experience in the field

Statistics For The Quality Control Chemistry Laboratory

Author: Eamonn Mullins
Publisher: Royal Society of Chemistry
ISBN: 9780854046713
Size: 35.17 MB
Format: PDF, ePub, Docs
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This book provides a sound introduction to the use of statistical methods in analytical chemistry, without requiring a strong mathematical background.

Chemometrics

Author: Richard G. Brereton
Publisher: John Wiley & Sons
ISBN: 0470845740
Size: 60.65 MB
Format: PDF, Kindle
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This book is aimed at the large number of people who need to use chemometrics but do not wish to understand complex mathematics, therefore it offers a comprehensive examination of the field of chemometrics without overwhelming the reader with complex mathematics. * Includes five chapters that cover the basic principles of chemometrics analysis. * Provides two chapters on the use of Excel and MATLAB for chemometrics analysis. * Contains 70 worked problems so that readers can gain a practical understanding of the use of chemometrics.

Data Analysis With Excel

Author: Les Kirkup
Publisher: Cambridge University Press
ISBN: 9780521797375
Size: 76.34 MB
Format: PDF, ePub, Mobi
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An essential introduction to data analysis techniques using spreadsheets, for undergraduate and graduate students.

Introduction To Statistical Analysis Of Laboratory Data

Author: Alfred Bartolucci
Publisher: John Wiley & Sons
ISBN: 1119085004
Size: 31.63 MB
Format: PDF, Mobi
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Introduction to Statistical Analysis of Laboratory Data presents a detailed discussion of important statistical concepts and methods of data presentation and analysis Provides detailed discussions on statistical applications including a comprehensive package of statistical tools that are specific to the laboratory experiment process Introduces terminology used in many applications such as the interpretation of assay design and validation as well as “fit for purpose” procedures including real world examples Includes a rigorous review of statistical quality control procedures in laboratory methodologies and influences on capabilities Presents methodologies used in the areas such as method comparison procedures, limit and bias detection, outlier analysis and detecting sources of variation Analysis of robustness and ruggedness including multivariate influences on response are introduced to account for controllable/uncontrollable laboratory conditions

Introduction To Chemical Principles A Laboratory Approach

Author: Susan A. Weiner
Publisher: Cengage Learning
ISBN: 1111780196
Size: 74.17 MB
Format: PDF, Kindle
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The seventh edition of this superb lab manual offers 36 class-tested experiments, suitable for introductory, preparatory, and health science chemistry courses and texts, including INTRODUCTORY CHEMISTRY: AN ACTIVE LEARNING APPROACH, Fourth Edition by Cracolice and Peters. Experiments in this lab manual teach students to collect and analyze experimental data and provide them with a strong foundation for further course work in general chemistry. This edition offers instructors a wide variety of experiments to customize their laboratory program, including many microscale experiments. All experiments can be completed in a three-hour laboratory period. As in the Sixth Edition, there are Work Pages for each experiment as well as Report Sheets for students to take notes and record experimental data and results, which facilitate instructor grading of experiments. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Standard And Super Resolution Bioimaging Data Analysis

Author: Ann Wheeler
Publisher: John Wiley & Sons
ISBN: 1119096901
Size: 27.66 MB
Format: PDF, Mobi
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A comprehensive guide to the art and science of bioimaging data acquisition, processing and analysis Standard and Super-Resolution Bioimaging Data Analysis gets newcomers to bioimage data analysis quickly up to speed on the mathematics, statistics, computing hardware and acquisition technologies required to correctly process and document data. The past quarter century has seen remarkable progress in the field of light microscopy for biomedical science, with new imaging technologies coming on the market at an almost annual basis. Most of the data generated by these systems is image-based, and there is a significant increase in the content and throughput of these imaging systems. This, in turn, has resulted in a shift in the literature on biomedical research from descriptive to highly-quantitative. Standard and Super-Resolution Bioimaging Data Analysis satisfies the demand among students and research scientists for introductory guides to the tools for parsing and processing image data. Extremely well illustrated and including numerous examples, it clearly and accessibly explains what image data is and how to process and document it, as well as the current resources and standards in the field. A comprehensive guide to the tools for parsing and processing image data and the resources and industry standards for the biological and biomedical sciences Takes a practical approach to image analysis to assist scientists in ensuring scientific data are robust and reliable Covers fundamental principles in such a way as to give beginners a sound scientific base upon which to build Ideally suited for advanced students having only limited knowledge of the mathematics, statistics and computing required for image data analysis An entry-level text written for students and practitioners in the bioscience community, Standard and Super-Resolution Bioimaging Data Analysis de-mythologises the vast array of image analysis modalities which have come online over the past decade while schooling beginners in bioimaging principles, mathematics, technologies and standards.

Choice

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Size: 76.92 MB
Format: PDF, Kindle
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