Download or read book Factor Analysis in Chemistry written by Edmund R. Malinowski and published by John Wiley & Sons. This book was released on 2002-03-07 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fundamentals of the discipline, now complete with the latest experimental research and techniques Factor analysis is a mathematical tool for examining a wide range of data sets, with applications especially important to the design of experiments (DOE), spectroscopy, chromatography, and chemometrics. Whereas the first two editions concentrated on standardizing the fundamentals of this emerging discipline, the Third Edition of Factor Analysis in Chemistry, the "bible" of factor analysis, proves a comprehensive handbook at a level that is consistent with the research and design of experiments today. With the exception of updates, the introductory chapters remain unchanged. Chapter 6 has been edited to focus on evolutionary methods, including window factor analysis, transmutation, and DECRA. Selections on partial least squares and multimode analysis have been expanded and consolidated into two new chapters, 7 and 8. Some of the latest advances in a wide variety of fields, such as chromatography, NMR, biomedicine, environmental science, food, and fuels, are described in the applications chapters (chapters 9 through 12). Other features of the text include: * Provides history of the discipline as well as theory, philosophy, and applications * Written for all readership levels: introductory, intermediate, and advanced * Explains complicated concepts in simple language without sacrificing mathematical rigor * Presents concepts and programs in a style that allows the user to develop programs in any computer language * Demonstrates the utility of various factor analytical techniques for solving practical problems in chemistry and related sciences * Showcases a unique presentation of partial least squares Factor Analysis in Chemistry, Third Edition remains the premier reference in its field.
Download or read book Factor Analysis in Chemistry written by Edmund R. Malinowski and published by John Wiley & Sons. This book was released on 1980-05-13 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Good,No Highlights,No Markup,all pages are intact, Slight Shelfwear,may have the corners slightly dented, may have slight color changes/slightly damaged spine.
Download or read book Factor Analysis in Chemistry written by Malinowski and published by . This book was released on 2002-06-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Factor Analysis in Chemistry written by Edmund R. Malinowski and published by Wiley-Interscience. This book was released on 1991-06-07 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete revision to the theory, practice and applications of factor analysis in chemistry—a mathematical technique for studying matrices of data. Methods of factor analysis that are quicker, more cost effective and easier as a result of new computer applications are included. Topics added include A and R model analysis, singular value decomposition, NIPALS decomposition and iterative key set factor analysis. New methods for rank determination, statistical methods for target testing, errors in factor loadings and weighted factor analysis are also treated in this edition. Special methods of factor analysis such as classical factor analysis, common factors, communality, partial least squares, and modeling and self modeling methods of evolutionary factor analysis are also included.
Download or read book Practical Data Analysis in Chemistry written by Marcel Maeder and published by Elsevier. This book was released on 2007-08-10 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book Statistical Methods in Social Science Research written by S P Mukherjee and published by Springer. This book was released on 2018-10-05 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents various recently developed and traditional statistical techniques, which are increasingly being applied in social science research. The social sciences cover diverse phenomena arising in society, the economy and the environment, some of which are too complex to allow concrete statements; some cannot be defined by direct observations or measurements; some are culture- (or region-) specific, while others are generic and common. Statistics, being a scientific method – as distinct from a ‘science’ related to any one type of phenomena – is used to make inductive inferences regarding various phenomena. The book addresses both qualitative and quantitative research (a combination of which is essential in social science research) and offers valuable supplementary reading at an advanced level for researchers.
Download or read book The Application of Pattern Recognition and Factor Analysis to Chemistry written by Michael James Vandaveer and published by . This book was released on 1980 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Chemometrics written by B.R. Kowalski and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: At a time when computerized laboratory automation is producing a da ta explosion, chemists are turning to applied mathematics and statistics for the tools to extract useful chemical information from data. This rush to find applicable methods has lead to a somewhat confusing body of literature that represents a barrier to chemists wishing to learn more about chemometrics. The confusion results partly from the mixing of chemical notation and nomenclature with those of statistics, applied mathematics and engineering. Additionally, in the absence of collaboration with mathematicians, chemists have, at times, misused data analysis methodology and even reinvented methods that have seen years of service in other fields. The Chemometrics Society has worked hard to solve this problem since it was founded in 1974 with the goal of improving communications between the chemical sciences and applied mathe matics and statistics. The NATO Advanced Study Institute on Chemometrics is evidence of this fact as it was initiated in response to a call from its membership for advanced training in several areas of chemometrics. This Institute focused on current theory and application in the new field of Chemometrics: Use of mathematical and statistical methods, Ca) to design or select optimal measurement procedures and experiments; and Cb) to provide maximum chemical information by analyzing chemical data. The Institute had two formal themes and two informal themes.
Download or read book Application of Factor Analysis to Thermochromatography and Protonation Studies written by Marina Kudrjashova and published by . This book was released on 2000 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Chemistry 2e written by Paul Flowers and published by . This book was released on 2019-02-14 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chemistry 2e is designed to meet the scope and sequence requirements of the two-semester general chemistry course. The textbook provides an important opportunity for students to learn the core concepts of chemistry and understand how those concepts apply to their lives and the world around them. The book also includes a number of innovative features, including interactive exercises and real-world applications, designed to enhance student learning. The second edition has been revised to incorporate clearer, more current, and more dynamic explanations, while maintaining the same organization as the first edition. Substantial improvements have been made in the figures, illustrations, and example exercises that support the text narrative. Changes made in Chemistry 2e are described in the preface to help instructors transition to the second edition.
Download or read book Factor Analysis Applied to Water Chemistry Data written by Mary E. Thompson and published by . This book was released on 1983 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Results of factor analysis applied to data for rivers, lakes, and precipitation chemistry are presented. The major factors affecting the chemistry of surface waters are sea salt (near the coast), chemical weathering, and acidic precipitation. Similarly, the major factors affecting precipitation chemistry are sea salt (near the coast), acidic precipitation, and continental dust"--Abstract.
Download or read book Statistics for Analytical Chemistry written by Jane C. Miller and published by Ellis Horwood Limited. This book was released on 1992 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Exploratory Factor Analysis written by Diana Mindrila and published by . This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In education, researchers often work with complex data sets that include a multitude of variables. One question that often arises in such contexts is whether the structure of associations that underlies the data is accounted for by a latent construct. Exploratory factor analysis is a multivariate correlational procedure that helps researchers overcome such challenges. It helps reduce large data sets into main components or identify distinct constructs that account for the pattern of correlations among observed variables. These unobservable constructs are referred to as common factors, latent variables, or internal attributes, and they exert linear influences on more than one observed variable. Although exploratory factor analysis is widely used, many applied educational researchers and practitioners are not yet familiar with this procedure and are intimidated by the technical terminology. This book provides a conceptual description of this method and includes a collection of applied research studies that illustrates the application of exploratory factor analysis in school improvement research. The first chapter provides a theoretical overview of exploratory factor analysis. It explains the purposes for which this procedure can be used, the related terminology, the distinction between key concepts, the steps that must be taken, and the criteria for making the decisions. This information can serve as a starting point for researchers who need a brief, conceptual introduction to this topic. The following chapters present a series of research studies in which exploratory factor analysis was employed either by itself or in conjunction with other statistical procedures. The studies presented in this book address a variety of research problems in the field of school improvement. They specify how the factor analytic procedure was applied, and explain the theoretical contributions and the practical applications of the factor analytic results. In most studies, results from factor analysis were used for subsequent statistical procedures, thus helping researchers address more complex research questions and enriching the results.
Download or read book Principal Component Analysis written by I.T. Jolliffe and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: Principal component analysis is probably the oldest and best known of the It was first introduced by Pearson (1901), techniques ofmultivariate analysis. and developed independently by Hotelling (1933). Like many multivariate methods, it was not widely used until the advent of electronic computers, but it is now weIl entrenched in virtually every statistical computer package. The central idea of principal component analysis is to reduce the dimen sionality of a data set in which there are a large number of interrelated variables, while retaining as much as possible of the variation present in the data set. This reduction is achieved by transforming to a new set of variables, the principal components, which are uncorrelated, and which are ordered so that the first few retain most of the variation present in all of the original variables. Computation of the principal components reduces to the solution of an eigenvalue-eigenvector problem for a positive-semidefinite symmetrie matrix. Thus, the definition and computation of principal components are straightforward but, as will be seen, this apparently simple technique has a wide variety of different applications, as weIl as a number of different deri vations. Any feelings that principal component analysis is a narrow subject should soon be dispelled by the present book; indeed some quite broad topics which are related to principal component analysis receive no more than a brief mention in the final two chapters.
Download or read book Design and Analysis in Chemical Research written by Roy L. Tranter and published by John Wiley & Sons. This book was released on 2000 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have seen massive changes in the tools and instrumentation available to chemists, in the scale of databases linking the properties of pure materials, solutions or other mixtures to molecular structure, and in the sheer ability of chemists to collect data through automated data acquisition systems.
Download or read book Limits of Detection in Chemical Analysis written by Edward Voigtman and published by John Wiley & Sons. This book was released on 2017-03-20 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Details methods for computing valid limits of detection. Clearly explains analytical detection limit theory, thereby mitigating incorrect detection limit concepts, methodologies and results Extensive use of computer simulations that are freely available to readers Curated short-list of important references for limits of detection Videos, screencasts, and animations are provided at an associated website, to enhance understanding Illustrated, with many detailed examples and cogent explanations
Download or read book Matrix Based Introduction to Multivariate Data Analysis written by Kohei Adachi and published by Springer. This book was released on 2016-10-11 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book enables readers who may not be familiar with matrices to understand a variety of multivariate analysis procedures in matrix forms. Another feature of the book is that it emphasizes what model underlies a procedure and what objective function is optimized for fitting the model to data. The author believes that the matrix-based learning of such models and objective functions is the fastest way to comprehend multivariate data analysis. The text is arranged so that readers can intuitively capture the purposes for which multivariate analysis procedures are utilized: plain explanations of the purposes with numerical examples precede mathematical descriptions in almost every chapter. This volume is appropriate for undergraduate students who already have studied introductory statistics. Graduate students and researchers who are not familiar with matrix-intensive formulations of multivariate data analysis will also find the book useful, as it is based on modern matrix formulations with a special emphasis on singular value decomposition among theorems in matrix algebra. The book begins with an explanation of fundamental matrix operations and the matrix expressions of elementary statistics, followed by the introduction of popular multivariate procedures with advancing levels of matrix algebra chapter by chapter. This organization of the book allows readers without knowledge of matrices to deepen their understanding of multivariate data analysis.
