Practical Statistics For The Analytical Scientist

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Practical Statistics for the Analytical Scientist

Author : Peter Bedson,Trevor J Duguid Farrant
Publisher : Royal Society of Chemistry
Page : 385 pages
File Size : 55,5 Mb
Release : 2021-04-08
Category : Mathematics
ISBN : 9781839164439

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Practical Statistics for the Analytical Scientist by Peter Bedson,Trevor J Duguid Farrant Pdf

Analytical chemists must use a range of statistical tools in their treatment of experimental data to obtain reliable results. Practical Statistics for the Analytical Scientist is a manual designed to help them negotiate the daunting specialist terminology and symbols. Prepared in conjunction with the Department of Trade and Industry's Valid Analytical Measurement (VAM) programme, this volume covers the basic statistics needed in the laboratory. It describes the statistical procedures that are most likely to be required including summary and descriptive statistics, calibration, outlier testing, analysis of variance and basic quality control procedures. To improve understanding, many examples provide the user with material for consolidation and practice. The fully worked answers are given both to check the correct application of the procedures and to provide a template for future problems. Practical Statistics for the Analytical Scientist will be welcomed by practising analytical chemists as an important reference for day to day statistics in analytical chemistry.

Practical Statistics for Data Scientists

Author : Peter Bruce,Andrew Bruce,Peter Gedeck
Publisher : "O'Reilly Media, Inc."
Page : 368 pages
File Size : 46,7 Mb
Release : 2020-04-10
Category : Computers
ISBN : 9781492072898

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Practical Statistics for Data Scientists by Peter Bruce,Andrew Bruce,Peter Gedeck Pdf

Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what’s important and what’s not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R or Python programming languages and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher-quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that "learn" from data Unsupervised learning methods for extracting meaning from unlabeled data

Practical Statistics for Analytical Chemists

Author : Robert L. Anderson
Publisher : Chapman and Hall/CRC
Page : 346 pages
File Size : 44,5 Mb
Release : 1987-12-31
Category : Computers
ISBN : UOM:39015024968540

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Practical Statistics for Analytical Chemists by Robert L. Anderson Pdf

This book should be of interest to analytical chemists, industrial chemists, chemical research and development personnel and chemistry laboratory technicians as well as students.

Practical Statistics for Pharmaceutical Analysis

Author : James E. De Muth
Publisher : Springer Nature
Page : 257 pages
File Size : 42,8 Mb
Release : 2019-12-10
Category : Medical
ISBN : 9783030339890

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Practical Statistics for Pharmaceutical Analysis by James E. De Muth Pdf

This is an introductory statistics book designed to provide scientists with practical information needed to apply the most common statistical tests to laboratory research data. The book is designed to be practical and applicable, so only minimal information is devoted to theory or equations. Emphasis is placed on the underlying principles for effective data analysis and survey the statistical tests. It is of special value for scientists who have access to Minitab software. Examples are provides for all the statistical tests and explanation of the interpretation of these results presented with Minitab (similar to results for any common software package). The book is specifically designed to contribute to the AAPS series on advances in the pharmaceutical sciences. It benefits professional scientists or graduate students who have not had a formal statistics class, who had bad experiences in such classes, or who just fear/don’t understand statistics. Chapter 1 focuses on terminology and essential elements of statistical testing. Statistics is often complicated by synonyms and this chapter established the terms used in the book and how rudiments interact to create statistical tests. Chapter 2 discussed descriptive statistics that are used to organize and summarize sample results. Chapter 3 discussed basic assumptions of probability, characteristics of a normal distribution, alternative approaches for non-normal distributions and introduces the topic of making inferences about a larger population based on a small sample from that population. Chapter 4 discussed hypothesis testing where computer output is interpreted and decisions are made regarding statistical significance. This chapter also deasl with the determination of appropriate sample sizes. The next three chapters focus on tests that make decisions about a population base on a small subset of information. Chapter 5 looks at statistical tests that evaluate where a significant difference exists. In Chapter 6 the tests try to determine the extent and importance of relationships. In contrast to fifth chapter, Chapter 7 presents tests that evaluate the equivalence, not the difference between levels being tested. The last chapter deals with potential outlier or aberrant values and how to statistically determine if they should be removed from the sample data. Each statistical test presented includes an example problem with the resultant software output and how to interpret the results. Minimal time is spent on the mathematical calculations or theory. For those interested in the associated equations, supplemental figures are presented for each test with respective formulas. In addition, Appendix D presents the equations and proof for every output result for the various examples. Examples and results from the appropriate statistical results are displayed using Minitab 18Ò. In addition to the results, the required steps to analyze data using Minitab are presented with the examples for those having access to this software. Numerous other software packages are available, including based data analysis with Excel.

Encyclopedia of Analytical Science

Author : Anonim
Publisher : Elsevier
Page : 5142 pages
File Size : 51,6 Mb
Release : 2019-04-02
Category : Science
ISBN : 9780081019849

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Encyclopedia of Analytical Science by Anonim Pdf

The third edition of the Encyclopedia of Analytical Science, Ten Volume Set is a definitive collection of articles covering the latest technologies in application areas such as medicine, environmental science, food science and geology. Meticulously organized, clearly written and fully interdisciplinary, the Encyclopedia of Analytical Science, Ten Volume Set provides foundational knowledge across the scope of modern analytical chemistry, linking fundamental topics with the latest methodologies. Articles will cover three broad areas: analytical techniques (e.g., mass spectrometry, liquid chromatography, atomic spectrometry); areas of application (e.g., forensic, environmental and clinical); and analytes (e.g., arsenic, nucleic acids and polycyclic aromatic hydrocarbons), providing a one-stop resource for analytical scientists. Offers readers a one-stop resource with access to information across the entire scope of modern analytical science Presents articles split into three broad areas: analytical techniques, areas of application and and analytes, creating an ideal resource for students, researchers and professionals Provides concise and accessible information that is ideal for non-specialists and readers from undergraduate levels and higher

Statistical Methods in Practice

Author : Richard Boddy,Gordon Smith
Publisher : John Wiley & Sons
Page : 249 pages
File Size : 44,6 Mb
Release : 2009-09-21
Category : Mathematics
ISBN : 9780470746646

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Statistical Methods in Practice by Richard Boddy,Gordon Smith Pdf

This is a practical book on how to apply statistical methods successfully. The Authors have deliberately kept formulae to a minimum to enable the reader to concentrate on how to use the methods and to understand what the methods are for. Each method is introduced and used in a real situation from industry or research. Each chapter features situations based on the authors’ experience and looks at statistical methods for analysing data and, where appropriate, discusses the assumptions of these methods. Key features: Provides a practical hands-on manual for workplace applications. Introduces a broad range of statistical methods from confidence intervals to trend analysis. Combines realistic case studies and examples with a practical approach to statistical analysis. Features examples drawn from a wide range of industries including chemicals, petrochemicals, nuclear power, food and pharmaceuticals. Includes a supporting website, providing software to aid tutorials. Scientists and technologists of all levels who are required to design, conduct and analyse experiments will find this book to be essential reading.

Analytical Scientists in Pharmaceutical Product Development

Author : Kangping Xiao
Publisher : John Wiley & Sons
Page : 272 pages
File Size : 43,8 Mb
Release : 2020-10-06
Category : Science
ISBN : 9781119547822

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Analytical Scientists in Pharmaceutical Product Development by Kangping Xiao Pdf

This book explains task management concepts and outlines practical knowledge to help pharmaceutical analytical scientists become productive and enhance their career. •Presents broad topics such as product development process, regulatory requirement, task and project management, innovation mindset, molecular recognition, separation science, degradation chemistry, and statistics. •Provokes thinking through figures, tables, and case studies to help understand how the various functions integrate and how analytical development can work efficiently and effectively by applying science and creativity in their work. •Discusses how to efficiently develop a fit-for-purpose HPLC method without screening dozens of columns, gradients, or mobile phase combinations each time, since the extra effort may not provide enough of a benefit to justify the cost and time in a fast-paced product development environment. This book explains task management concepts and outlines practical knowledge to help pharmaceutical analytical scientists become productive and enhance their career. •Presents broad topics such as product development process, regulatory requirement, task and project management, innovation mindset, molecular recognition, separation science, degradation chemistry, and statistics. •Provokes thinking through figures, tables, and case studies to help understand how the various functions integrate and how analytical development can work efficiently and effectively by applying science and creativity in their work. •Discusses how to efficiently develop a fit-for-purpose HPLC method without screening dozens of columns, gradients, or mobile phase combinations each time, since the extra effort may not provide enough of a benefit to justify the cost and time in a fast-paced product development environment.

Practical Statistics for Medical Research

Author : Douglas G. Altman
Publisher : CRC Press
Page : 630 pages
File Size : 50,7 Mb
Release : 1990-11-22
Category : Mathematics
ISBN : 0412276305

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Practical Statistics for Medical Research by Douglas G. Altman Pdf

Most medical researchers, whether clinical or non-clinical, receive some background in statistics as undergraduates. However, it is most often brief, a long time ago, and largely forgotten by the time it is needed. Furthermore, many introductory texts fall short of adequately explaining the underlying concepts of statistics, and often are divorced from the reality of conducting and assessing medical research. Practical Statistics for Medical Research is a problem-based text for medical researchers, medical students, and others in the medical arena who need to use statistics but have no specialized mathematics background. The author draws on twenty years of experience as a consulting medical statistician to provide clear explanations to key statistical concepts, with a firm emphasis on practical aspects of designing and analyzing medical research. The text gives special attention to the presentation and interpretation of results and the many real problems that arise in medical research.

Practical Statistics for Data Scientists

Author : Peter Bruce,Andrew Bruce
Publisher : "O'Reilly Media, Inc."
Page : 395 pages
File Size : 42,7 Mb
Release : 2017-05-10
Category : Computers
ISBN : 9781491952917

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Practical Statistics for Data Scientists by Peter Bruce,Andrew Bruce Pdf

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data

Essential Mathematics and Statistics for Forensic Science

Author : Craig Adam
Publisher : John Wiley & Sons
Page : 298 pages
File Size : 45,5 Mb
Release : 2011-09-20
Category : Medical
ISBN : 9781119964186

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Essential Mathematics and Statistics for Forensic Science by Craig Adam Pdf

This text is an accessible, student-friendly introduction to the wide range of mathematical and statistical tools needed by the forensic scientist in the analysis, interpretation and presentation of experimental measurements. From a basis of high school mathematics, the book develops essential quantitative analysis techniques within the context of a broad range of forensic applications. This clearly structured text focuses on developing core mathematical skills together with an understanding of the calculations associated with the analysis of experimental work, including an emphasis on the use of graphs and the evaluation of uncertainties. Through a broad study of probability and statistics, the reader is led ultimately to the use of Bayesian approaches to the evaluation of evidence within the court. In every section, forensic applications such as ballistics trajectories, post-mortem cooling, aspects of forensic pharmacokinetics, the matching of glass evidence, the formation of bloodstains and the interpretation of DNA profiles are discussed and examples of calculations are worked through. In every chapter there are numerous self-assessment problems to aid student learning. Its broad scope and forensically focused coverage make this book an essential text for students embarking on any degree course in forensic science or forensic analysis, as well as an invaluable reference for post-graduate students and forensic professionals. Key features: Offers a unique mix of mathematics and statistics topics, specifically tailored to a forensic science undergraduate degree. All topics illustrated with examples from the forensic science discipline. Written in an accessible, student-friendly way to engage interest and enhance learning and confidence. Assumes only a basic high-school level prior mathematical knowledge.

A Practical Guide to Scientific Data Analysis

Author : David J. Livingstone
Publisher : John Wiley & Sons
Page : 358 pages
File Size : 51,8 Mb
Release : 2009-12-10
Category : Science
ISBN : 9780470684818

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A Practical Guide to Scientific Data Analysis by David J. Livingstone Pdf

Inspired by the author's need for practical guidance in the processes of data analysis, A Practical Guide to Scientific Data Analysis has been written as a statistical companion for the working scientist. This handbook of data analysis with worked examples focuses on the application of mathematical and statistical techniques and the interpretation of their results. Covering the most common statistical methods for examining and exploring relationships in data, the text includes extensive examples from a variety of scientific disciplines. The chapters are organised logically, from planning an experiment, through examining and displaying the data, to constructing quantitative models. Each chapter is intended to stand alone so that casual users can refer to the section that is most appropriate to their problem. Written by a highly qualified and internationally respected author this text: Presents statistics for the non-statistician Explains a variety of methods to extract information from data Describes the application of statistical methods to the design of “performance chemicals” Emphasises the application of statistical techniques and the interpretation of their results Of practical use to chemists, biochemists, pharmacists, biologists and researchers from many other scientific disciplines in both industry and academia.

Chemometrics

Author : Richard G. Brereton
Publisher : John Wiley & Sons
Page : 464 pages
File Size : 42,8 Mb
Release : 2018-03-05
Category : Science
ISBN : 9781118904671

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Chemometrics by Richard G. Brereton Pdf

A new, full-color, completely updated edition of the key practical guide to chemometrics This new edition of this practical guide on chemometrics, emphasizes the principles and applications behind the main ideas in the field using numerical and graphical examples, which can then be applied to a wide variety of problems in chemistry, biology, chemical engineering, and allied disciplines. Presented in full color, it features expansion of the principal component analysis, classification, multivariate evolutionary signal and statistical distributions sections, and new case studies in metabolomics, as well as extensive updates throughout. Aimed at the large number of users of chemometrics, it includes extensive worked problems and chapters explaining how to analyze datasets, in addition to updated descriptions of how to apply Excel and Matlab for chemometrics. Chemometrics: Data Driven Extraction for Science, Second Edition offers chapters covering: experimental design, signal processing, pattern recognition, calibration, and evolutionary data. The pattern recognition chapter from the first edition is divided into two separate ones: Principal Component Analysis/Cluster Analysis, and Classification. It also includes new descriptions of Alternating Least Squares (ALS) and Iterative Target Transformation Factor Analysis (ITTFA). Updated descriptions of wavelets and Bayesian methods are included. Includes updated chapters of the classic chemometric methods (e.g. experimental design, signal processing, etc.) Introduces metabolomics-type examples alongside those from analytical chemistry Features problems at the end of each chapter to illustrate the broad applicability of the methods in different fields Supplemented with data sets and solutions to the problems on a dedicated website Chemometrics: Data Driven Extraction for Science, Second Edition is recommended for post-graduate students of chemometrics as well as applied scientists (e.g. chemists, biochemists, engineers, statisticians) working in all areas of data analysis.

Analytical Measurement Terminology

Author : Elizabeth Prichard
Publisher : Royal Society of Chemistry
Page : 86 pages
File Size : 54,6 Mb
Release : 2007-10-31
Category : Science
ISBN : 9781847559289

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Analytical Measurement Terminology by Elizabeth Prichard Pdf

The variety of complex terms used in the Quality Assurance aspect of analytical measurement can be the cause of considerable confusion. This unique handbook explains the most widely-used terminology in language that is readily understood, and attempts to place each term in context. Concepts are described in a way that is useful to all practitioners, particularly those concerned with quality assurance, validation and reliability of analytical measurements. Explanations of terms are always in line with the "official definition", often developed by international committees. Adopting a thematic approach, Analytical Measurement Terminology is divided into six main parts. The first four parts address the logical progression of an analytical measurement, from obtaining a sample, through method and materials, to reporting the result. The two remaining parts include a variety of terms encountered in quality systems and documentation, along with definitions of "mathematical" terms likely to be encountered by the analyst in their everyday work. The index provides easy access to both the definitions and the accompanying examples. With its straightforward descriptions and many examples, this handbook, produced as part of the VAM (Valid Analytical Measurement) programme, will provide valuable assistance for a wide variety of new and experienced practitioners, as well as for teachers and lecturers.

Essential Elements for a GMP Analytical Chemistry Department

Author : Thomas Catalano
Publisher : Springer Science & Business Media
Page : 203 pages
File Size : 52,5 Mb
Release : 2013-06-20
Category : Medical
ISBN : 9781461476429

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Essential Elements for a GMP Analytical Chemistry Department by Thomas Catalano Pdf

Essential Elements for a GMP Analytical Chemistry Department is a systematic approach to understanding the essential elements required for a successful GMP Analytical Department to function as an efficient and effective organization. It describes in detail a department structure which allows for the necessary processes to become available to all its personnel in a way where there is a free flow of information and interaction. The environment and culture created by this approach encourages and rewards the sharing of ideas, skills, and abilities among department personnel. The essential elements such as , SOP’s, regulatory guidance’s/guidelines, project teams, technical and department processes, personnel motivation, outsourcing, and hiring the best is among the many topics that are discussed in detail and how they can be implemented to build an efficient and effective Analytical Department. This book will serve as a valuable asset to the many companies required to perform GMP analytical method development, validation, analyses etc including start-up, virtual, and generic pharmaceutical companies. ​

Statistical Treatment of Analytical Data

Author : Zeev B. Alfassi
Publisher : John Wiley & Sons
Page : 272 pages
File Size : 52,5 Mb
Release : 2009-02-12
Category : Science
ISBN : 9781405148146

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Statistical Treatment of Analytical Data by Zeev B. Alfassi Pdf

Statistical techniques have assumed an integral role in both the interpretation and quality assessment of analytical results. In this book the range of statistical methods available for such tasks are described in detail, with the advantages and disadvantages of each technique clarified by use of examples. With a focus on the essential practical application of these techniques the book also includes sufficient theory to facilitate understanding of the statistical principles involved. Statistical Treatment of Analytical Data is written for professional analytical chemists in industry, government and research institutions who require a practical understanding of the application of statistics in day to day activities in the analytical laboratory. It is also for students who require further and detailed information that may not be available directly in a typical undergraduate course.