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Practical Data Analysis in Chemistry
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 spre...
Practical Guide To Chemometrics
The limited coverage of data analysis and statistics offered in most undergraduate and graduate analytical chemistry courses is usually focused on practical aspects of univariate methods. Drawing in real-world examples, Practical Guide to Chemometrics, Second Edition offers an accessible introduction to application-oriented multivariate meth
Scientific Data Ranking Methods
This volume presents the basic mathematics of ranking methods through a didactic approach and the integration of relevant applications. Ranking methods can be applied in several different fields, including decision support, toxicology, environmental problems, proteomics and genomics, analytical chemistry, food chemistry, and QSAR.. Covers a wide range of applications, from the environment and toxicology to DNA sequencing. Incorporates contributions from renowned experts in the field. Meets the increasing demand for literature concerned with ranking methods and their applications
Directory of Graduate Research
Faculties, publications and doctoral theses in departments or divisions of chemistry, chemical engineering, biochemistry and pharmaceutical and/or medicinal chemistry at universities in the United States and Canada.
Statistical and Multivariate Analysis in Material Science
The present work is an introductory text in statistics, addressed to researchers and students in the field of material science. It aims to give the readers basic knowledge on how statistical reasoning is exploitable in this field, improving their knowledge of statistical tools and helping them to carry out statistical analyses and to interpret the results. It also focuses on establishing a consistent multivariate workflow starting from a correct design of experiment followed by a multivariate analysis process.
Das Schweizer Buch
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Numerical Methods for Chemical Engineering
Applications of numerical mathematics and scientific computing to chemical engineering.
Charting Spiritual Care
This open access volume is the first academic book on the controversial issue of including spiritual care in integrated electronic medical records (EMR). Based on an international study group comprising researchers from Europe (The Netherlands, Belgium and Switzerland), the United States, Canada, and Australia, this edited collection provides an overview of different charting practices and experiences in various countries and healthcare contexts. Encompassing case studies and analyses of theological, ethical, legal, healthcare policy, and practical issues, the volume is a groundbreaking reference for future discussion, research, and strategic planning for inter- or multi-faith healthcare cha...
Data Analysis
The fourth edition of this successful textbook presents a comprehensive introduction to statistical and numerical methods for the evaluation of empirical and experimental data. Equal weight is given to statistical theory and practical problems. The concise mathematical treatment of the subject matter is illustrated by many examples and for the present edition a library of Java programs has been developed. It comprises methods of numerical data analysis and graphical representation as well as many example programs and solutions to programming problems. The book is conceived both as an introduction and as a work of reference. In particular it addresses itself to students, scientists and practitioners in science and engineering as a help in the analysis of their data in laboratory courses, in working for bachelor or master degrees, in thesis work, and in research and professional work.
