Selected Data On Mixtures
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Author | : Emmerich Wilhelm |
Publisher | : Royal Society of Chemistry |
Total Pages | : 531 |
Release | : 2010-01-04 |
Genre | : Science |
ISBN | : 0854041761 |
The book contains the very latest information on all aspects of heat capacities related to liquids and vapours, either pure or mixed. The chapters, all written by knowledgeable experts in their respective fields, cover theory, experimental methods, and techniques (including speed of sound, photothermal techniques, brillouin scattering, scanning transitiometry, high resolution adiabatic scanning calorimetry), results on solutions, liquids, vapours, mixtures, electrolytes, critical regions, proteins, liquid crystals, polymers, reactions, effects of high pressure and phase changes. Experimental methods for the determination of heat capacities as well as theoretical aspects, including data correlation and prediction, are dealt with in detail. Of special importance are the contributions concerning heat capacities of dilute solutions, ultrasonics and hypersonics, critical behavior and the influence of high pressure.
Author | : Emmerich Wilhelm |
Publisher | : Royal Society of Chemistry |
Total Pages | : 644 |
Release | : 2014-12-17 |
Genre | : Science |
ISBN | : 1849738998 |
Volumetric properties play an important role in research at the interface of physical chemistry and chemical engineering, but keeping up with the latest developments in the field demands a broad view of the literature. Presenting a collection of concise, focused chapters, this book offers a comprehensive guide to the latest developments in the field and a starting point for more detailed research. The chapters are written by acknowledged experts, covering theory, experimental methods, techniques, and results on all types of liquids and vapours. The editors work at the forefront of thermodynamics in mixtures and solutions and have brought together contributions from all areas related to volume properties, offering a synergy of ideas across the field. Graduates, researchers and anyone working in the field of volumes will find this book to be their key reference.
Author | : Paul D. McNicholas |
Publisher | : CRC Press |
Total Pages | : 244 |
Release | : 2016-10-04 |
Genre | : Mathematics |
ISBN | : 1315356112 |
"This is a great overview of the field of model-based clustering and classification by one of its leading developers. McNicholas provides a resource that I am certain will be used by researchers in statistics and related disciplines for quite some time. The discussion of mixtures with heavy tails and asymmetric distributions will place this text as the authoritative, modern reference in the mixture modeling literature." (Douglas Steinley, University of Missouri) Mixture Model-Based Classification is the first monograph devoted to mixture model-based approaches to clustering and classification. This is both a book for established researchers and newcomers to the field. A history of mixture models as a tool for classification is provided and Gaussian mixtures are considered extensively, including mixtures of factor analyzers and other approaches for high-dimensional data. Non-Gaussian mixtures are considered, from mixtures with components that parameterize skewness and/or concentration, right up to mixtures of multiple scaled distributions. Several other important topics are considered, including mixture approaches for clustering and classification of longitudinal data as well as discussion about how to define a cluster Paul D. McNicholas is the Canada Research Chair in Computational Statistics at McMaster University, where he is a Professor in the Department of Mathematics and Statistics. His research focuses on the use of mixture model-based approaches for classification, with particular attention to clustering applications, and he has published extensively within the field. He is an associate editor for several journals and has served as a guest editor for a number of special issues on mixture models.
Author | : Library of Congress. Copyright Office |
Publisher | : Copyright Office, Library of Congress |
Total Pages | : 1642 |
Release | : 1977 |
Genre | : Copyright |
ISBN | : |
Author | : John A. Cornell |
Publisher | : John Wiley & Sons |
Total Pages | : 682 |
Release | : 2011-09-20 |
Genre | : Mathematics |
ISBN | : 111815049X |
The most comprehensive, single-volume guide to conductingexperiments with mixtures "If one is involved, or heavily interested, in experiments onmixtures of ingredients, one must obtain this book. It is, as wasthe first edition, the definitive work." -Short Book Reviews (Publication of the International StatisticalInstitute) "The text contains many examples with worked solutions and with itsextensive coverage of the subject matter will prove invaluable tothose in the industrial and educational sectors whose work involvesthe design and analysis of mixture experiments." -Journal of the Royal Statistical Society "The author has done a great job in presenting the vitalinformation on experiments with mixtures in a lucid and readablestyle. . . . A very informative, interesting, and useful book on animportant statistical topic." -Zentralblatt fur Mathematik und Ihre Grenzgebiete Experiments with Mixtures shows researchers and students how todesign and set up mixture experiments, then analyze the data anddraw inferences from the results. Virtually every technique thathas appeared in the literature of mixtures can be found here, andcomputing formulas for each method are provided with completelyworked examples. Almost all of the numerical examples are takenfrom real experiments. Coverage begins with Scheffe latticedesigns, introducing the use of independent variables, and endswith the most current methods. New material includes: * Multiple response cases * Residuals and least-squares estimates * Categories of components: Mixtures of mixtures * Fixed as well as variable values for the major componentproportions * Leverage and the Hat Matrix * Fitting a slack-variable model * Estimating components of variances in a mixed model using ANOVAtable entries * Clarification of blocking mates and choice of mates * Optimizing several responses simultaneously * Biplots for multiple responses
Author | : Cliff Nicholls |
Publisher | : CRC Press |
Total Pages | : 146 |
Release | : 2019-08-30 |
Genre | : Technology & Engineering |
ISBN | : 0429867891 |
This practical guide starts with a survey of the types of site and the asphalt properties which are required. Various external influences which may affect the relative importance of some properties are addressed, and the interplay of sites and external is considered. Asphalt mixture types and their properties are reviewed, largely as defined in the EN 13108 series but subdivided into further categories, and into maximum nominal coarse aggregate sizes using EN 13043 basic set plus set 2 sizes. Guidance is given, including using flowcharts, of the different mixtures that are suitable for each situation. In some cases a range of choices or mixtures with different degrees of suitability is offered. The guidance covers surface course, binder course and base, but with more focus on the surface course where the external influence is most significant. The site and external influence combinations on which a mixture can be used successfully are also given. The book is primarily intended for those who select asphalt on an occasional basis, such as architects or housing developers, but could be of use to other engineers with limited experience. It is also useful as an educational textbook for those studying asphalt technology.
Author | : United States. National Bureau of Standards |
Publisher | : |
Total Pages | : 540 |
Release | : 1975 |
Genre | : Government publications |
ISBN | : |
Author | : Yitzhak Marcus |
Publisher | : CRC Press |
Total Pages | : 282 |
Release | : 2002-09-10 |
Genre | : Science |
ISBN | : 9780824708375 |
Compiling, comparing, and analyzing research from a wide range of abstracts, journal articles, and Web sites, this reference examines the properties, function, and behavior of binary, ternary, and multicomponent mixtures in the presence and absence of solutes. The author uniformly presents extensive data on the properties of solvent mixtures and describes their structures and interactions. He details the impact of preferential solvation on the environment, action, and components of chemical systems. The book highlights experimental approaches to determine when, and to what extent, preferential solvation has taken place and models for organic, ionic, macromolecular, and biochemical solutes.
Author | : Bertrand Dreyfus |
Publisher | : Elsevier |
Total Pages | : 198 |
Release | : 2013-10-22 |
Genre | : Science |
ISBN | : 1483140520 |
Generation, Compilation, Evaluation and Dissemination of Data for Science and Technology is a compilation of manuscripts presented at the four proceedings organized by the Committee on Data for Science and Technology (CODATA). It focuses on the functions of CODATA, a data center that operates by generating, compiling and evaluating data. This book discusses conventional areas of CODATA activity, namely the fields of physics, chemistry and allied subjects, the biological sciences, geology, geophysics, geography, and astronomy. It includes lectures from the first two sessions, giving up-to-date reviews on data centers, particularly the use of computers in a variety of data activities. The book also deals with CODATA's original areas of interest: spectroscopic and thermodynamic data. Information scientists interested in documentation systems will find this book indispensable.
Author | : Sylvia Fruhwirth-Schnatter |
Publisher | : CRC Press |
Total Pages | : 522 |
Release | : 2019-01-04 |
Genre | : Computers |
ISBN | : 0429508247 |
Mixture models have been around for over 150 years, and they are found in many branches of statistical modelling, as a versatile and multifaceted tool. They can be applied to a wide range of data: univariate or multivariate, continuous or categorical, cross-sectional, time series, networks, and much more. Mixture analysis is a very active research topic in statistics and machine learning, with new developments in methodology and applications taking place all the time. The Handbook of Mixture Analysis is a very timely publication, presenting a broad overview of the methods and applications of this important field of research. It covers a wide array of topics, including the EM algorithm, Bayesian mixture models, model-based clustering, high-dimensional data, hidden Markov models, and applications in finance, genomics, and astronomy. Features: Provides a comprehensive overview of the methods and applications of mixture modelling and analysis Divided into three parts: Foundations and Methods; Mixture Modelling and Extensions; and Selected Applications Contains many worked examples using real data, together with computational implementation, to illustrate the methods described Includes contributions from the leading researchers in the field The Handbook of Mixture Analysis is targeted at graduate students and young researchers new to the field. It will also be an important reference for anyone working in this field, whether they are developing new methodology, or applying the models to real scientific problems.