๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Practical Data Analysis in Chemistry

โœ Scribed by Marcel Maeder and Yorck-Michael Neuhold (Eds.)


Publisher
Elsevier Science
Year
2007
Tongue
English
Leaves
341
Series
Data Handling in Science and Technology 26
Edition
1st edition
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Synopsis


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.

โœฆ Table of Contents


Content:
Preface
Pages ix-xi
Marcel Maeder

Symbols
Pages xiii-xiv

1 Introduction Original Research Article
Pages 1-6

2 Matrix algebra Original Research Article
Pages 7-28

3 Physical/chemical models Original Research Article
Pages 29-100

4 Model-based analyses Original Research Article
Pages 101-212

5 Model-free analyses Original Research Article
Pages 213-316

List of matlab files
Pages 317-320

List of excel sheets
Page 321

Index
Pages 322-326


๐Ÿ“œ SIMILAR VOLUMES


Data Analyst: Careers in data analysis
โœ Harish Gulati; Charles Joseph; Rune Rasmussen; Clare Stanier; Obi Umegbolu ๐Ÿ“‚ Library ๐Ÿ“… 2019 ๐Ÿ› BCS, The Chartered Institute for IT ๐ŸŒ English

Data is constantly increasing and data analysts are in higher demand than ever. This book is an essential guide to the role of data analyst. Aspiring data analysts will discover what data analysts do all day, what skills they will need for the role, and what regulations they will be required to adhe

Compositional data analysis in practice
โœ Greenacre, Michael J ๐Ÿ“‚ Library ๐Ÿ“… 2018 ๐Ÿ› Chapman and Hall/CRC, an imprint of Taylor and Fra ๐ŸŒ English

Chapter 1 What are compositional data, and why are they special? -- chapter 2 Geometry and visualization of compositional data -- chapter 3 Logratio transformations -- chapter 4 Properties and distributions of logratios -- chapter 5 Regression models involving compositional data -- chapter 6 Dimensi

Practical Data Analysis
โœ Hector Cuesta ๐Ÿ“‚ Library ๐Ÿ“… 2013 ๐Ÿ› Packt Publishing ๐ŸŒ English

<p>Transform, model, and visualize your data through hands-on projects, developed in open source tools</p> <p><b>Overview</b></p> <ul> <li>Explore how to analyze your data in various innovative ways and turn them into insight</li> <li>Learn to use the D3.js visualization tool for exploratory data an

Practical Data Analysis
โœ Hector Cuesta, Sampath Kumar ๐Ÿ“‚ Library ๐Ÿ“… 2016 ๐Ÿ› Packt Publishing ๐ŸŒ English

<h4>Key Features</h4><ul><li>Learn to use various data analysis tools and algorithms to classify, cluster, visualize, simulate, and forecast your data</li><li>Apply Machine Learning algorithms to different kinds of data such as social networks, time series, and images</li><li>A hands-on guide to und